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ÏÖ´úСÂó¸ß³ôÑõÃô¸ÐÐÔÓëÒ°Éú¼°ÔÔÅàÇ×±¾µÄÒÅ´«Ïà¹ØÐÔÑо¿ ±È˹ÎÖ˹£¬Ðíºê£¬ÀîÓÀ¸ý£¬ÁõÃÀÕä.£¬³ÂÑ޺죬Ëï¼ÒÖù£¬½¯¸ßÃ÷* *ͨѶ×÷Õß Öйú¿ÆѧԺֲÎïÑо¿ËùÖ²±»Óë»·¾³±ä»¯¹ú¼ÒÖصãʵÑéÊÒ, ±±¾©ÏãɽÄÏÐÁ´å20ºÅ£¬100093¡£ ʵÑéÖ²Îïѧ±¨£¬2008£¬59:951-963.£¨IF=5.345, SCI ÒýÓÃ79£© ÏÖ´úСÂó£¨Triticum aestivum L.£©ÊǶԳôÑõ£¨O3£©×îÃô¸ÐµÄ×÷ÎïÖ®Ò»£¬µ«ÈËÃǶÔÆäO3Ãô¸ÐÐÔµÄÒÅ´«±³¾°ÖªÖ®ÉõÉÙ¡£Ì½ÌÖ²»Í¬Æ·ÖÖСÂó¶ÔO3Ũ¶ÈÉý¸ßµÄÏìÓ¦£¬ÊÇÑ¡ÓýO3¿¹ÐÔÆ·ÖֵĻù´¡¹¤×÷¡£½«¶¬Ð¡ÂóÒ°ÉúÖÖºÍÔÔÅàÖÖ£¨°üÀ¨A¡¢BºÍD»ùÒò×éµÄ¹©Ì壩±©Â¶ÓÚ100ppb O3»ò»îÐÔÌ¿¹ýÂË¿ÕÆøÖÐ21d£¬Í¨¹ý¿É¼ûO3É˺¦Ö¢×´¡¢ÆøÌå½»»»¡¢Ò¶ÂÌËØÓ«¹â¡¢Ïà¶ÔÉú³¤ËÙÂʺÍÉúÎïÁ¿»ýÀÛÀ´ÆÀ¹À²»Í¬Äê¶ÈСÂó¶ÔO3Éý¸ßµÄÏìÓ¦¡£³ôÑõÏÔÖø½µµÍÁ˾»¹âºÏËÙÂÊ£¨-37%£©ºÍ˲ʱÕôÌÚËÙÂÊ£¨-42%£©£¬µ«Ôö¼ÓÁËÆø¿×µ¼¶È£¨+11%£©ºÍ°û¼äCO2Ũ¶È£¨+11%£©¡£¸ßO3½µµÍÁË»ù´¡Ó«¹â£¨-8%£©¡¢×î´óÓ«¹â£¨-26%£©¡¢¿É±äÓ«¹â£¨-31%£©ºÍ×î´ó¹â»¯Ñ§Ð§ÂÊ£¨-7%£©¡£³ôÑõ½µµÍÁËÏà¶ÔÉú³¤ËÙÂʺÍÒìËÙÉú³¤ÏµÊý£¬×îÖÕ½µµÍÁË×ÜÉúÎïÁ¿ÀÛ»ý£¨-54%£©£¬µ«¸ù£¨-77%£©±È¾¥£¨-44%£©½µµÍ³Ì¶È¸ü´ó¡£¶¬Ð¡ÂóÔÚ¸ßO3¶Ô¹âºÏ×÷ÓúÍÉú³¤µÄÓ°ÏìÉϱíÏÖ³öÃ÷ÏÔµÄÖÖ¼ä±äÒ졣ԭʼÔÔÅàСÂó¶ÔO3µÄÏà¶ÔÄÍÊÜÐÔ×î¸ß£¬ÏÖ´úСÂó´ÎÖ®£¬Ò°ÉúСÂó×îµÍ¡£ÔÚÏÖ´úСÂó»ùÒò×鹩ÌåÖУ¬½Ú½ÚÂó£¨DD£©¶ÔO3×îÃô¸Ð£¬Æä´ÎÊǵ¥Á£Ð¡Âó£¨AA£©ºÍÓ²Á£Ð¡Âó£¨Triticum turgidumssp£©¡£Ó²Á£Ð¡Âó£¨AABB£©ËƺõÊÇ×îÄÍO3µÄ¡£½á¹û±íÃ÷£¬ÏÖ´úСÂó¶ÔO3µÄÃô¸ÐÐԽϸßÊÇÓÉÓÚ½Ú½ÚÂó£¨DD£©¶ÔO3µÄÃô¸ÐÐÔÔö¼ÓËùÖ£¬¶ø²»ÊÇÀ´×ÔÓ²Á£Ð¡Âó£¨Triticum turgidumssp£©Ðγɹý³ÌÖеÄÓ²Á£»ùÒò£¨AABB£©¡£ Assessing the genetic relatedness of higher ozone sensitivity of modern wheat to its wild and cultivated progenitors/relatives Biswas D.K., Xu H, Li Y.G., Liu M.Z., Chen Y.H., Sun J.Z. Jiang G.M* *correspondence author State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The ChineseAcademy of Sciences, 20 Nanxincun, 100093 Beijing, PR China Journal of Experimental Botany, 2008, 59 : 951-963.£¨IF=5.345, SCI citation 79£© Abstract Modern wheat (Triticum aestivumL.) is one of the most ozone (O3)-sensitive crops. However, little is known about its genetic background of O3sensitivity, which is fundamental for breeding O3-resistant cultivars. Wild and cultivated species of winter wheat including donors of the A, B and D genomes of T. aestivumwere exposed to 100 ppb O3or charcoal-filtered air in open top chambers for 21 d. Responses to O3were assessed by visible O3injury, gas exchange, chlorophyll fluorescence, relative growth rate, and biomass accumulation. Ozone significantly decreased light-saturated net photosynthetic rate (-37%) and instantaneous transpiration efficiency (-42%), but increased stomatal conductance (+11%) and intercellular CO2concentration (+11%). Elevated O3depressed ground fluorescence (-8%), maximum fluorescence (-26%), variable fluorescence (-31%), and maximum photochemical efficiency (-7%). Ozone also decreased relative growth rate and the allometric coefficient, which finally reduced total biomass accumulation (-54%), but to a greater extent in roots (-77%) than in the shoot (-44%). Winter wheat exhibited significant interspecies variation in the impacts of elevated O3on photosynthesis and growth. Primitive cultivated wheat demonstrated the highest relative O3tolerance followed by modern wheat and wild wheat showed the lowest. Among the genome donors of modern wheat, Aegilops tauschii(DD) behaved as the most O3-sensitive followed by T. monococcum(AA) and Triticum turgidumssp. durum(AABB) appeared to be the most O3-tolerant. It was concluded that the higher O3sensitivity of modern wheat was attributed to the increased O3sensitivity of Aegilops tauschii (DD), but not to Triticum turgidumssp.durum(AABB) during speciation.
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³ôÑõ¶Ô²»Í¬Äê´úÍƹãµÄ¶¬Ð¡Âó¹âºÏ×÷ÓúÍÉú³¤µÄÓ°Ïì ±Ï˹ÎÖ˹ Ðíºê ÀîÓÀ¸ý Âí±¦ÁÖ ½¯¸ßÃ÷* *ͨѶ×÷Õß Öйú¿ÆѧԺֲÎïѧÑо¿ËùÖ²±»Óë»·¾³±ä»¯¹ú¼ÒÖصãʵÑéÊÒ£¬Öйú±±¾©ÏãɽÄÏÐÁ´å20ºÅ£¬100093 ʵÑéÖ²Îïѧ±¨ , 2013, 64(6): 1485-1496. £¨Ó°ÏìÒò×Ó£º5.345£© ¡¾ÕªÒª¡¿ ¶þÑõ»¯Ì¼Éý¸ß¶ÔÖ²Îï¹âºÏµÄÓÐÒæÓ°Ï죬½«Êܵ½ÆäËüÈ«Çò±ä»¯Ëù´øÀ´µÄ¸ºÃæÓ°ÏìËùµÖÏû£¬²»Í¬O3Ãô¸ÐÐÔÖ²Îï¶ÔÓÚ³ôÑõ£¨O3£©µÄÏìÓ¦£¬ÓÈÆäÔÚ¸ßCO2»·¾³Ïµĵ÷½Ú»¹ÖªÖ®ÉõÉÙ¡£±¾ÎÄÑо¿ÁËÀÏÆ·ÖÖСÂ󣨱±¾©6ºÅ£¬ÄͳôÑõÐÍ£©ºÍÏÖ´úÆ·ÖÖ£¨ÖÐÂó9ºÅ£¬O3Ãô¸ÐÐÍ£©±©Â¶ÓÚCO2£¨714ppm£©ºÍO3£¨72ppb£¬7h d-1£©ÖУ¬ÔÚ¿ª¶¥ÊÒͬ»¯Ïä( OTC)ÖÐÅàÑø21dºóµÄ¹âºÏÉúÀíÓëÉú³¤±ä»¯¡£Í¨¹ý¹Û²ìҶƬ֢״¡¢²â¶¨ÆøÌå½»»»ºÍÒ¶ÂÌËØaÓ«¹â¡¢ÌåÄÚÉú»¯ÌØÐÔºÍÉú³¤À´ÆÀ¹ÀÖ²Öê¶Ô²»Í¬´¦ÀíµÄ·´Ó¦¡£½á¹û±íÃ÷£¬ÓëÀÏÆ·ÖÖÏà±È£¬ÏÖ´úÆ·ÖÖ¶ÔCO2Ũ¶ÈÉý¸ß±íÏÖΪ½Ï¸ßµÄÄÜÁ¿²¶»ñºÍµç×Ó´«ÊäËÙÂÊ¡£ÓëÀÏÆ·ÖÖÏà±È£¬ÏÖ´úÆ·ÖÖÓÉÓÚ¸ü¸ßµÄO3ÎüÊպ͸ü´óµÄ¹âϵͳIIЧÂÊ£¨³ÉÊìÒ¶£©ºÍÒ¶Èâϸ°û»îÐÔ£¨Ó×Ò¶£©Ëðʧ£¬¶øµ¼Ö¸ü´óµÄÉú³¤¼õÉÙ¡£ÔÚ¸ßCO2ºÍO3Ìõ¼þÏ£¬¾¡¹Ü¸ßCO2±£»¤ÁËÁ½¸öÆ·ÖÖÃâÊÜO3Σº¦£¬µ«ÏÖ´úÆ·ÖÖ±ÈÀÏÆ·ÖÖ±íÏÖ³ö¸ü¸ßµÄO3ÎüÊպ͸ü´óµÄO3¹âÒÖÖÆ£¬´Ó¶øµ¼Ö¸ßCO2ÓÕµ¼µÄÉú³¤´Ì¼¤Ïà¶ÔËðʧ¡£¸ÃÑо¿½á¹û±íÃ÷£¬ÔÚCO2ºÍO3Ũ¶ÈÉý¸ßÇ°ÌáÏ£¬ÓÉÓڽϸߵÄÄÜÁ¿²¶»ñºÍµç×Ó´«ÊäËÙÂÊ£¬ÏÖ´úÆ·ÖÖCO2ÓÕµ¼µÄÉú³¤´Ì¼¤¿ÉÄÜ»áÊܵ½Æä½Ï¸ßµÄO3ÎüÊպ͸ü´óµÄ¹âÒÖÖƶøÓ°Ïì¡£ Modification of photosynthesis and growth responses to elevated CO2 by ozone in two cultivars of winter wheat with different years of release D.K. Biswas, H. Xu, Y.G. Li, B.L. Ma, G.M. Jiang* State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, The Chinese Academy of Sciences, 20 Nanxincun, 100093 Beijing, PR China. Journal of Experimental Botany , 2013, 64(6): 1485-1496. £¨IF=5.345£© Abstract: The beneficial effects of elevated CO2 on plants are expected to be compromised by the negative effects posed by other global changes. However, little is known about ozone (O3)-induced modulation of elevated CO2 response in plants with differential sensitivity to O3. An old (Triticum aestivumcv. Beijing 6, O3 tolerant) and a modern (T. aestivumcv. Zhongmai 9, O3 sensitive) winter wheat cultivar were exposed to elevated CO2 (714 ppm) and/or O3 (72 ppb, for 7h d(-1)) in open-topped chambers for 21 d. Plant responses to treatments were assessed by visible leaf symptoms, simultaneous measurements of gas exchange and chlorophyll a fluorescence, in vivo biochemical properties, and growth. It was found that elevated CO2 resulted in higher growth stimulation in the modern cultivar attributed to a higher energy capture and electron transport rate compared with the old cultivar. Exposure to O3 caused a greater growth reduction in the modern cultivar due to higher O3 uptake and a greater loss of photosystem II efficiency (mature leaf) and mesophyll cell activity (young leaf) than in the old cultivar. Elevated CO2 completely protected both cultivars against the deleterious effects of O3 under elevated CO2 and O3. The modern cultivar showed a greater relative loss of elevated CO2-induced growth stimulation due to higher O3 uptake and greater O3-induced photoinhibition than the old cultivar at elevated CO2 and O3. Our findings suggest that the elevated CO2-induced growth stimulation in the modern cultivar attributed to higher energy capture and electron transport rate can be compromised by its higher O3 uptake and greater O3-induced photoinhibition under elevated CO2 and O3 exposure.
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²»Í¬¸û×÷ÓëÊ©·Ê·½Ê½¶ÔÓлúÓñÃ×ÌïÔÓ²ÝȺÂäºÍ×÷Îï²úÁ¿µÄÓ°Ïì ²©Îľ² , ¹ùÁ¢Ô , Àî¾² , Τ¼Ì¹â , Àî²Êºç , ÀîÓ , ½¯¸ßÃ÷ * (*ͨѶ×÷Õß ) Öйú¿ÆѧԺֲÎïÖ²ÎïÑо¿ËùÖ²±»Óë»·¾³±ä»¯¹ú¼ÒÖصãʵÑéÊÒ É½¶«Å©Òµ´óѧũѧԺ Ö²Îïѧ±¨ , 2012, 47(6): 637-644. ¡¾ÕªÒª¡¿ Å©ÌïÔÓ²ÝÊÇÅ©ÒµÉú̬ϵͳµÄÖØÒª×é³É²¿·Ö¡£ÓлúÅ©ÌïÔӲݿØÖÆÊÇÅ©ÒµÉú²úµÄÒ»´óÄÑÌâ ,ͨ¹ýÊ©·Ê·½Ê½¸Ä±äÔӲݵľºÕù¸ñ¾ÖÓÐÍû³ÉΪÔӲݿØÖƵÄÐÂ;¾¶¡£ÒÔůδøÓлúÓñÃ×ÌïΪÑо¿¶ÔÏó,ÉèÖÃÁË5ÖÖ²»Í¬´¦Àí,¼´²»Ê©·Ê¶ÔÕÕ´¦Àí(CK)¡¢Ê©ÓÃÅ£·à´¦Àí(CM)¡¢Ê©ÓÃòÇò¾´¦Àí¹ýµÄÅ£·à´¦Àí(EM)¡¢Ãâ¸û½Õ¸Ñ²»¸²¸Ç´¦Àí(NT)ºÍÃâ¸û½Õ¸Ñ¸²¸Ç´¦Àí(NS),Ñо¿²»Í¬¸û×÷ºÍÊ©·Ê·½Ê½¶ÔÌï¼äÔÓ²ÝÃܶȡ¢ÉúÎïÁ¿¡¢ÉúÎï¶àÑùÐÔ¼°×÷Îï²úÁ¿µÄÓ°Ïì¡£½á¹û±íÃ÷,ÔÚÓлúÓñÃ×Å©ÌïÄÚ¹²·¢ÏÖÔÓ²Ý17ÖÖ,CKÔÓ²Ý×ÜÃܶÈ×î¸ß,µ«ÔÓ²Ý×ÜÉúÎïÁ¿ºÍÉúÎï¶àÑùÐÔÖ¸Êý½ÏµÍ¡£EMÔÓ²Ý×ÜÉúÎïÁ¿ºÍÅ£½î²Ý(Eleusine indica)ÉúÎïÁ¿×î¸ß,·Ö±ð±ÈCKÔö¼ÓÁË192.6%ºÍ224.8%(P0.01),ÎïÖַḻ¶ÈºÍÉúÎï¶àÑùÐÔÖ¸Êý½ÏµÍ,ÓÅÊƼ¯ÖжÈÖ¸Êý½Ï¸ß¡£NSÔÓ²Ý×ÜÃܶȡ¢×ÜÉúÎïÁ¿ºÍÉúÎï¶àÑùÐÔÓëNTÏà±ÈÏÔÖø½µµÍ¡£´ËÍâ,EMÓñÃ×(Zea mays)²úÁ¿±ÈCK¸ß40.2%(P0.01),±ÈCM¸ß19.6%(P0.01)¡£Ê©ÓÃòÇò¾´¦Àí¹ýµÄÅ£·à²»½öÌá¸ßÁËÓñÃײúÁ¿,¶øÇÒ¿ÉÒÔ´Ù½øÓÅÊÆÖÖÔӲݵÄÉú³¤,Ìá¸ßÔÓ²ÝȺÂäµÄÓÅÊƼ¯Öжȡ£ ¹Ø¼ü´Ê £º ÉúÎï¶àÑùÐÔ£»ÉúÎïÁ¿£»ÓÅÊÆÖÖ£»Ê©·Ê£»ÔÓ²Ý Effects of different tillage and fertilization methods on weed community and crop yield in an organic corn field Bo Wenjing , Guo Liyue , Li Xiao , Wei Jiguang , Li Caihong , Li Yong , Jiang Gaoming* (*Correspondence author) State Key Laboratory of vegetation and environmental change, Institute of Botany, Chinese Academy of Sciences, No. 20, Nanxin cun , Xiangshan, Beijing 100093 Agricultural College of Shandong Agricultural University Chinese Bulletin of Botany, 2 012, 47(6): 637-644 Weeds are an important part of agricultural ecosystem. Weed control in organic farmland is a big problem in agricultural production. It is expected to be a new way to change the competition pattern of weeds by applying fertilizer. Five different treatments, CK, cm, EM, NT and NS , were used to study the effects of different tillage and fertilization methods on weed density, biomass, biodiversity and crop yield. The results showed that 17 kinds of weeds were found in organic corn field, and CK had the highest weed density, but the total weed biomass and biodiversity index were low. The total biomass of EM weeds and the biomass of Eleusine indica were the highest, increased by 192.6% and 224.8% respectively compared with CK (P 0.01), the species richness and biodiversity index were lower, and the dominant concentration index was higher. The total density, biomass and biodiversity of NS weeds were significantly lower than NT. In addition, the yield of EM maize ( Zea mays ) was 40.2% higher than CK (P 0.01), 19.6% higher than CM (P 0.01). The application of cow manure treated by earthworm not only increased the yield of corn, but also promoted the growth of dominant species of weeds and the dominant concentration of weed community. Key words: biodiversity; biomass; dominant species; fertilization; weeds
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Å£·à¶Ñ·ÊÓ뻯·ÊÅäÊ©¶ÔÖйú¶«²¿Ð¡Âó - ÓñÃ×ÂÖ×÷ϵͳÓлúÖÊ¡¢ÈÝÖغÍòÇò¾»î¶¯µÄÓ°Ïì ÍÁÈÀÓë¸û×÷ѧÑо¿ , 156 (2): 140¨C147. ( Ó°ÏìÒò×Ó£º 4.675) ¹ùÁ¢Ô ab1 Îâ¹âÀÚ a1 ÀîÓ c Àî²Êºç a ÁõÎľ² d ÃÏ½Ü a Áõº£ÌÎ a ÓÝÏþ·² ab ½¯¸ßÃ÷ * a £¨ * ͨѶ×÷Õߣ© Öйú¿ÆѧԺֲÎïÑо¿ËùÖ²±»Óë»·¾³±ä»¯¹ú¼ÒÖصãʵÑéÊÒ¡¢Öйú»·¾³¿ÆѧԺ ÕªÒª ½«Å£·à¶Ñ·Ê£¨ CMC £©Ó뻯·Ê£¨ CF £©ÅäÊ©ÓÚÎÒ¹ú¶«²¿Ð¡Âó - ÓñÃ×ÂÖ×÷Ì¶ÔÍÁÈÀÀí»¯ÐÔÖÊ¡¢ÉúÎï»îÐÔºÍÍÁµØÉú²úÁ¦½øÐÐÁËÆÀ¼Û¡£¶Ô±í²ãÍÁÈÀ£¨ 0-20cm £©ÓлúÖÊ¡¢Ì¼´¢Á¿ºÍ¹Ì̼Á¿¡¢ÈÝÖØ¡¢º¬Ë®Á¿¡¢È«µªº¬Á¿ºÍòÇò¾ÖÖȺµÈÖ¸±ê½øÐÐÁË·ÖÎö¡£¸ÃÑо¿£¨ 2009-2014 Ä꣩ÊÇÔÚÏàͬµÄµª¡¢Áס¢¼Ø×ÜÁ¿£¨ 375.0 kg N ha-1 yr-1 ¡¢ 92.4 kg P2O5 ha-1 yr-1 ºÍ 316.3 kg K2O ha-1 yr-1 £©µÄ»ù´¡ÉϽøÐеġ£Áù¸ö´¦ÀíÉè¼ÆΪ£º£¨ 1 £©¶ÔÕÕ£¬²»Ê©·Ê£»£¨ 2 £© NPK £¬ 100%CF £»£¨ 3 £© NPKM1 £¬ 25%CMC+ 75%CF £»£¨ 4 £© NPKM2 £¬ 50%CMC+50%CF £»£¨ 5 £© NPKM3 £¬ 75%CMC+25%CF £»£¨ 6 £© CM £¬ 100%CMC ¡£½á¹û±íÃ÷£¬±í²ãÍÁÈÀÓлúÖÊ¡¢º¬Ë®Á¿¡¢È«µªºÍòÇò¾ÃܶÈÓë CMC ÏÔÖøÕýÏà¹Ø£¨ P0.01 £©£¬ÍÁÈÀÈÝÖØÓë CMC ÏÔÖø¸ºÏà¹Ø¡£Óë¶ÔÕÕÏà±È£¬Ð¡Âó - ÓñÃ×ÂÖ×÷ϵͳµÄ NPK ¡¢ NPKM1 ¡¢ NPKM2 ¡¢ NPKM3 ºÍ CM Äêƽ¾ù²úÁ¿ÏÔÖøÌá¸ß£¨ P ¡Ü 0.05 £©£¬ÆäÖÐ NPKM1 ²úÁ¿×î¸ß¡£µ¥Ê© CF ²»½ö½µµÍÁËòÇò¾µÄ SOM ¡¢Ë®·ÖºÍÈ«µªº¬Á¿£¬¶øÇÒ¶ÔòÇò¾»î¶¯²úÉúÁ˸ºÃæÓ°Ï죬¶ø CMC Ôò¼õÇáÁËÕâÖÖ¸ºÃæÓ°Ïì¡£¸Ã·¢ÏÖ¿ÉÄÜÓÐÖúÓÚÔÚ»·¾³ÓѺÃÇ°ÌáÏ£¬Ôö¼ÓÁ¸Ê³¹©Ó¦£¬¸ÄÉÆÍÁÈÀÌõ¼þÓëÓлú·Ê¶Ñ·ÊµÄÓ¦Óᣠ¹Ø¼ü´Ê£º Å£·à¶Ñ·Ê¡¢»¯·Ê¡¢ÍÁÈÀÓлúÖÊ¡¢ÍÁÈÀÈÝÖØ¡¢ÍÁÈÀº¬Ë®Á¿¡¢òÇò¾»îÐÔ Effects of cattle manure compost combined with chemical fertilizer on topsoil organic matter, bulk density and earthworm activity in a wheat-maize rotation system in Eastern China LiyueGuo ab1 GuangleiWu a1 YongLi c CaihongLi a WenjingLiu d Jie Meng a HaitaoLiu a XiaofanYu ab Gaoming Jiang a Soil tillage research , 156 (2): 140¨C147. (IF=4.675) Abstract Cattle manure compost (CMC) combined with chemical fertilizer (CF) was applied to a wheat¨Cmaize rotation field, in Eastern China, to assess soil physical and chemical properties, biological activity and land productivity. Indicators of organic matter, carbon storage and sequestration, bulk density, water content, total N content and earthworm population from topsoil (0¨C20cm) were quantified. This consecutive study (2009¨C2014) was carried out on the base of the same total N, P, K application rate (375.0kg Nha − 1yr − 1, 92.4kg P2O5ha − 1yr − 1and 316.3kg K2Oha − 1yr − 1) in each treatment that was fertilized. Six treatments were designed as: (1) CK, without any fertilizer; (2) NPK, 100% CF; (3) NPKM1, 25% CMC combined with 75% CF; (4) NPKM2, 50% CMC combined with 50% CF; (5) NPKM3, 75% CMC combined with 25% CF; and (6) CM, 100% CMC. The results demonstrated that organic matter, water content, total N content and earthworm density from topsoil were significantly and positively (P¡Ü0.01) related to CMC input, with significantly negative correlation being observed between soil bulk density and CMC input. The average annual yield of the wheat¨Cmaize rotation system significantly increased (P¡Ü0.05) in NPK, NPKM1, NPKM2, NPKM3, and CM compared with CK, with the highest yield being obtained from NPKM1. Applying merely CF not only led to the lower SOM, water content and total N content, but also resulted in negative effects on earthworm activity, while CMC alleviated such negative effects. Our finding may help to increase food supply by improving soil conditions with organic fertilizer compost application. Keywords: Cattle manure compost, Chemical fertilizer, Soil organic matter, Soil bulk density, Soil water content, Earthworm activity
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2017ÄêÒÔÀ´Ð¡Âó»ùÒò¿Ë¡ÎÄÕ ¿¹²¡ 1. Fhb1 Mutation of a histidine-rich calcium-binding-protein gene in wheat confers resistance to Fusarium head blight 2. Pm21 Pm21 from Haynaldia villosa Encodes a CC-NBS-LRR that Confers Powdery Mildew Resistance in Wheat 3. Pm60 The NB©\\LRR gene Pm60 confers powdery mildew resistance in wheat 4. Rph1 The Coiled-Coil NLR Rph1 , Confers Leaf Rust Resistance in Barley Cultivar Sudan 5. Sr21 Identification and characterization of wheat stem rust resistance gene Sr21 effective against the Ug99 race group at high temperature 6. Sr13 Identification and characterization of Sr13 , a tetraploid wheat gene that confers resistance to the Ug99 stem rust race group 7. Sr22 £¬ SrTm5 Mapping and characterization of wheat stem rust resistance genes SrTm5 and Sr60 from Triticum monococcum 8. Yr5/YrSP ºÍ Yr7 BED-domain-containing immune receptors confer diverse resistance spectra to yellow rust 9. Yr15 Cloning of the wheat Yr15 resistance gene sheds light on the plant tandem kinase-pseudokinase family 10. Stb6 Wheat receptor-kinase-like protein Stb6 controls gene-for-gene resistance to fungal pathogen Zymoseptoria tritici 11. Sr33 ¡¢ Sr45 ¡¢ Sr46 ºÍ SrTA1662 Resistance gene cloning from a wild crop relative by sequence capture and association genetics 12. Lr22a rapid cloning of genes in hexaploid wheat using cultivar-specific long-range chromosome assembly ÐÛÐÔ²»Óý 13. Ms2 Wheat Ms2 encodes for an orphan protein that confers male sterility in grass species 14. Ms1 Molecular identification of the wheat male fertility gene Ms1 and its prospects for hybrid breeding 15. ms5 Wheat ms5 male-sterility is induced by recessive homoeologous A and D genome non-specific Lipid Transfer Proteins Éú³¤·¢Óý 16. TaSPL8 Wheat TaSPL8 Modulates Leaf Angle Through Auxin and Brassinosteroid Signaling 17. TtBtr1 Wild emmer genome architecture and diversity elucidate wheat evolution and domestication 18. WAPO1 Identifcation of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high‑resolution genetic mapping 19. B1 locus/AWNS1/ALI-1 ALI-1 , candidate gene of B1 locus, is associated with awn length and grain weight in common wheat 20. SSt1 Shifting the limits in wheat research and breeding using a fully annotated reference genome 21. TB1 TEOSINTE BRANCHED1 Regulates Inflorescence Architecture and Development in Bread Wheat ( Triticum aestivum ) 22. Rht12 A wheat dominant dwarfing line with Rht12 , which reduces stem cell length and affects gibberellic acid synthesis, is a 5AL terminal deletion line 23. GNI1 Unleashing floret fertility in wheat through the mutation of a homeobox gene 24. Rht23 Rht23 (5Dq¡¯) likely encodes a Q homeologue with pleiotropic effects on plant height and spike compactness 25. TmBr1 Cloning of a COBL gene determining brittleness in diploid wheat using a MapRseq approach ÆäËü 26. TdHMA3-B1 Durum wheat genome highlights past domestication signatures and future improvement targets Èç¹ûһƪÎÄÕÂÖпË¡¶à¸ö»ùÒòÔò°ÑËûÃǷŵ½Ò»Æð¡£ ÁíÍâÓиö±ð»ùÒò¿ÉÄܱ»¶à¸öÎÄÕ±¨µÀ£¬ÕâÀïÖ»ÁгöÀ´Ò»Æª¡£ һЩ»ùÒòËäÈ»²»ÊÇ´«Í³ÒâÒåÉϵÄͼλ¿Ë¡·½·¨¶øÀ´£¬µ«ÖÁÉÙÊÇÓо«È·µÄ¶¨Î»½á¹ûÖ§³Ö¡£¶øÄÇЩͬԴ¿Ë¡µÄ»ùÒò²»ÔÚ´ËÁбíÖУ¬°üÀ¨²úÁ¿Ïà¹Ø»ùÒò¡£
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2019ÄêµÚ26ÖÜСÂóÎÄÏ×»ã×Ü£¨7.7£© 1 Thermal plasticity of the circadian clock is under nuclear and cytoplasmic control in wild barley. Plant Cell Environ. 2019 Jul 4. doi: 10.1111/pce.13606. PMID:31272129 Author : Bdolach, Eyal; Prusty, Manas Ranjan; Faigenboim-Doron, Adi; Filichkin, Tanya; Helgerson, Laura; Schmid, Karl J; Greiner, Stephan; Fridman, Eyal; 2 First Insight into the Technological Features of Lactic Acid Bacteria Isolated from Algerian Fermented Wheat Lemzeiet. Curr Microbiol. 2019 Jul 3. pii: 10.1007/s00284-019-01727-3. doi: 10.1007/s00284-019-01727-3. PMID:31270565 Author : Merabti, Ryma; Madec, Marie N; Chuat, Victoria; Becila, Fatima Zohra; Boussekine, Rania; Bekhouche, Farida; Valence, Florence; 3 Genome-wide transcript analysis of inflorescence development in wheat. Genome. 2019 Jul 3. doi: 10.1139/gen-2018-0200. PMID:31269405 Author : Kim, Dae Yeon; Hong, Min Jeong; Seo, Yong Weon; 4 Wheat and barley can increase grain yield in shade through acclimation of physiological and morphological traits in Mediterranean conditions. Sci Rep. 2019 Jul 2;9(1):9547. doi: 10.1038/s41598-019-46027-9. PMID:31266995 Author : Arenas-Corraliza, M G; Rolo, V; Lopez-Diaz, M L; Moreno, G; 5 Combining grain yield, protein content and protein quality by multi-trait genomic selection in bread wheat. Theor Appl Genet. 2019 Jul 1. pii: 10.1007/s00122-019-03386-1. doi: 10.1007/s00122-019-03386-1. PMID:31263910 Author : Michel, Sebastian; Loschenberger, Franziska; Ametz, Christian; Pachler, Bernadette; Sparry, Ellen; Burstmayr, Hermann; 6 Genetics of Greenbug Resistance in Synthetic Hexaploid Wheat Derived Germplasm. Front Plant Sci. 2019 Jun 13;10:782. doi: 10.3389/fpls.2019.00782. eCollection 2019. PMID:31263476 Author : Crespo-Herrera, Leonardo; Singh, Ravi P; Reynolds, Matthew; Huerta-Espino, Julio; 7 Meta-Analysis of the QTLome of Fusarium Head Blight Resistance in Bread Wheat: Refining the Current Puzzle. Front Plant Sci. 2019 Jun 13;10:727. doi: 10.3389/fpls.2019.00727. eCollection 2019. PMID:31263469 Author : Venske, Eduardo; Dos Santos, Railson Schreinert; Farias, Daniel da Rosa; Rother, Vianei; da Maia, Luciano Carlos; Pegoraro, Camila; Costa de Oliveira, Antonio; 8 Deciphering the genetic basis for vitamin E accumulation in leaves and grains of different barley accessions. Sci Rep. 2019 Jul 1;9(1):9470. doi: 10.1038/s41598-019-45572-7. PMID:31263124 Author : Schuy, Christian; Groth, Jennifer; Ammon, Alexandra; Eydam, Julia; Baier, Steffen; Schweizer, Gunther; Hanemann, Anja; Herz, Markus; Voll, Lars M; Sonnewald, Uwe; 9 Ozone Tolerance Found in Aegilops tauschii and Primary Synthetic Hexaploid Wheat. Plants (Basel). 2019 Jun 28;8(7). pii: plants8070195. doi: 10.3390/plants8070195. PMID:31261799 Author : Brewster, Clare; Hayes, Felicity; Fenner, Nathalie; 10 Plasticity in Triticeae centromere DNA sequences: a wheat x tall wheatgrass (decaploid) model. Plant J. 2019 Jun 30. doi: 10.1111/tpj.14444. PMID:31259444 Author : Zhao, Jing; Hao, Weiwei; Tang, Caiguo; Yao, Han; Li, Baochun; Zheng, Qi; Li, Zhensheng; Zhang, Xueyong; 11 Architecture of Wheat Inflorescence: Insights from Rice. Trends Plant Sci. 2019 Jun 27. pii: S1360-1385(19)30145-1. doi: 10.1016/j.tplants.2019.06.002. PMID:31257155 Author : Gao, Xin-Qi; Wang, Ning; Wang, Xiu-Ling; Zhang, Xian Sheng; 12 High-resolution mapping of rachis nodes per rachis, a critical determinant of grain yield components in wheat. Theor Appl Genet. 2019 Jun 28. pii: 10.1007/s00122-019-03383-4. doi: 10.1007/s00122-019-03383-4. PMID:31254025 Author : Voss-Fels, Kai P; Keeble-Gagnere, Gabriel; Hickey, Lee T; Tibbits, Josquin; Nagornyy, Sergej; Hayden, Matthew J; Pasam, Raj K; Kant, Surya; Friedt, Wolfgang; Snowdon, Rod J; Appels, Rudi; Wittkop, Benjamin; 13 Identification of a candidate gene for a QTL for spikelet number per spike on wheat chromosome arm 7AL by high-resolution genetic mapping. Theor Appl Genet. 2019 Jun 28. pii: 10.1007/s00122-019-03382-5. doi: 10.1007/s00122-019-03382-5. PMID:31254024 Author : Kuzay, Saarah; Xu, Yunfeng; Zhang, Junli; Katz, Andrew; Pearce, Stephen; Su, Zhenqi; Fraser, Max; Anderson, James A; Brown-Guedira, Gina; DeWitt, Noah; Peters Haugrud, Amanda; Faris, Justin D; Akhunov, Eduard; Bai, Guihua; Dubcovsky, Jorge; 14 Drought Stress Tolerance in Wheat and Barley: Advances in Physiology, Breeding and Genetics Research. Int J Mol Sci. 2019 Jun 27;20(13). pii: ijms20133137. doi: 10.3390/ijms20133137. PMID:31252573 Author : Sallam, Ahmed; Alqudah, Ahmad M; Dawood, Mona F A; Baenziger, P Stephen; Borner, Andreas; 15 Assessing the environmental sustainability of glucose from wheat as a fermentation feedstock. J Environ Manage. 2019 Jun 25;247:323-332. doi: 10.1016/j.jenvman.2019.06.016. PMID:31252231 Author : Salim, Iana; Gonzalez-Garcia, Sara; Feijoo, Gumersindo; Moreira, Maria Teresa; 16 Genetic diversity and linkage disequilibrium using SNP (KASP) and AFLP markers in a worldwide durum wheat (Triticum turgidum L. var durum) collection. PLoS One. 2019 Jun 28;14(6):e0218562. doi: 10.1371/journal.pone.0218562. eCollection 2019. PMID:31251752 Author : Roncallo, Pablo Federico; Beaufort, Valeria; Larsen, Adelina Olga; Dreisigacker, Susanne; Echenique, Viviana; 17 Exploiting the reference genome sequence of hexaploid wheat: a proteomic study of flour proteins from the cultivar Chinese Spring. Funct Integr Genomics. 2019 Jun 27. pii: 10.1007/s10142-019-00694-z. doi: 10.1007/s10142-019-00694-z. PMID:31250230 Author : Altenbach, Susan B; Chang, Han-Chang; Simon-Buss, Annamaria; Mohr, Toni; Huo, Naxin; Gu, Yong Q; 18 Genome-Wide Identification and Homoeologous Expression Analysis of PP2C Genes in Wheat (Triticum aestivum L.). Front Genet. 2019 Jun 12;10:561. doi: 10.3389/fgene.2019.00561. eCollection 2019. PMID:31249596 Author : Yu, Xiaofen; Han, Jiapeng; Wang, Efan; Xiao, Jie; Hu, Rui; Yang, Guangxiao; He, Guangyuan; 19 Effect of Straw and Straw Biochar on the Community Structure and Diversity of Ammonia-oxidizing Bacteria and Archaea in Rice-wheat Rotation Ecosystems. Sci Rep. 2019 Jun 27;9(1):9367. doi: 10.1038/s41598-019-45877-7. PMID:31249385 Author : Zhang, Hanlin; Sun, Huifeng; Zhou, Sheng; Bai, Naling; Zheng, Xianqing; Li, Shuangxi; Zhang, Juanqin; Lv, Weiguang; 20 Genome Wide Association Study of Karnal Bunt Resistance in a Wheat Germplasm Collection from Afghanistan. Int J Mol Sci. 2019 Jun 26;20(13). pii: ijms20133124. doi: 10.3390/ijms20133124. PMID:31247965 Author : Gupta, Vikas; He, Xinyao; Kumar, Naresh; Fuentes-Davila, Guillermo; Sharma, Rajiv K; Dreisigacker, Susanne; Juliana, Philomin; Ataei, Najibeh; Singh, Pawan K; 21 Genome-Wide Analysis of Serine/Arginine-Rich Protein Family in Wheat and Brachypodium distachyon. Plants (Basel). 2019 Jun 26;8(7). pii: plants8070188. doi: 10.3390/plants8070188. 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mashengwei 2019-3-28 21:53
ÔÚ http://apps.webofknowledge.com ËÑË÷µÄ£¬¹Ø¼ü´ÊÊÇ TI=((miRNA OR microRNA OR small RNA) AND (wheat OR Triticum))¡£ δ×ö½øÒ»²½µÄɸѡ£¬½ö¹©²Î¿¼¡£ ¿´¿´ÕâЩÎÄÏ×£¬Èç¹ûÓÐʱ¼ä»¹¿ÉÒÔ¿´¿´ÕâЩÎÄÏ×ÀïÒýÓõÄÎÄÏ×£¬»òÕßÔÚncbiÀï²é¿´ÄÄЩÎÄÏ×ÒýÓÃÁËijƪÎÄÏס£ 1 Development of species specific putative miRNA and its target prediction tool in wheat (Triticum aestivum L.) SCIENTIFIC REPORTS DOI:10.1038/s41598-019-40333-y Date :MAR 7 2019 2019 Author : Jaiswal, Sarika; Iquebal, M. A.; Arora, Vasu; Sheoran, Sonia; Sharma, Pradeep; Angadi, U. B.; Dahiya, Vikas; Singh, Rajender; Tiwari, Ratan; Singh, G. P.; Rai, Anil; Kumar, Dinesh 2 PROFILING OF 21 NOVEL MICRORNA CLUSTERS AND THEIR TARGETS IN AN IMPORTANT GRAIN: WHEAT (TRITICUM AESTIVUM L.) PAKISTAN JOURNAL OF BOTANY DOI:10.30848/PJB2019-1(35) Date :Feb-19 2019 Author : Achakzai, Habibullah Khan; Barozai, Muhammad Younas Khan; Achakzai, Abdul Kabir Khan; Asghar, Muhammad; Din, Mohammad 3 Discovery and profiling of small RNAs from Puccinia triticina by deep sequencing and identification of their potential targets in wheat. Functional integrative genomics DOI:10.1007/s10142-018-00652-1 Date :2019-Jan-07 2019 Author : Dubey, Himanshu; Kiran, Kanti; Jaswal, Rajdeep; Jain, Priyanka; Kayastha, Arvind M; Bhardwaj, Subhash C; Mondal, Tapan Kumar; Sharma, Tilak Raj 4 TaMIR1119, a miRNA family member of wheat (Triticum aestivum), is essential in the regulation of plant drought tolerance JOURNAL OF INTEGRATIVE AGRICULTURE DOI:10.1016/S2095-3119(17)61879-3 Date :Nov-18 2018 Author : Shi Gui-qing; Fu Jing-ying; Rong Ling-jie; Zhang Pei-yue; Guo Cheng-jin; Xiao Kai 5 Wheat miRNA member TaMIR2275 involves plant nitrogen starvation adaptation via enhancement of the N acquisition-associated process ACTA PHYSIOLOGIAE PLANTARUM DOI:10.1007/s11738-018-2758-9 Date :Oct-18 2018 Author : Qiao, Qinghai; Wang, Xiaoying; Yang, Mengya; Zhao, Yingjia; Gu, Juntao; Xiao, Kai 6 Small RNA and degradome sequencing used to elucidate the basis of tolerance to salinity and alkalinity in wheat BMC PLANT BIOLOGY DOI:10.1186/s12870-018-1415-1 Date :SEP 15 2018 2018 Author : Han, Huanan; Wang, Qi; Wei, Lin; Liang, Yu; Dai, Jiulan; Xia, Guangmin; Liu, Shuwei 7 Uncovering key small RNAs associated with gametocidal action in wheat JOURNAL OF EXPERIMENTAL BOTANY DOI:10.1093/jxb/ery175 Date :SEP 14 2018 2018 Author : Wang, Dan; Ling, Lei; Zhang, Wenrui; Bai, Yan; Shu, Yongjun; Guo, Changhong 8 TaMIR1139: a wheat miRNA responsive to Pi-starvation, acts a critical mediator in modulating plant tolerance to Pi deprivation PLANT CELL REPORTS DOI:10.1007/s00299-018-2313-6 Date :Sep-18 2018 Author : Liu, Zhipeng; Wang, Xiaoying; Chen, Xi; Shi, Guiqing; Bai, Qianqian; Xiao, Kai 9 Wheat miRNA TaemiR408 Acts as an Essential Mediator in Plant Tolerance to Pi Deprivation and Salt Stress via Modulating Stress-Associated Physiological Processes FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2018.00499 Date :APR 18 2018 2018 Author : Bai, Qianqian; Wang, Xiaoying; Chen, Xi; Shi, Guiqing; Liu, Zhipeng; Guo, Chengjin; Xiao, Kai 10 Asymmetrical changes of gene expression, small RNAs and chromatin in two resynthesized wheat allotetraploids PLANT JOURNAL DOI:10.1111/tpj.13805 Date :Mar-18 2018 Author : Jiao, Wu; Yuan, Jingya; Jiang, Shan; Liu, Yanfeng; Wang, Lili; Liu, Mingming; Zheng, Dewei; Ye, Wenxue; Wang, Xiue; Chen, Z. Jeffrey 11 Identification of conserved miRNA molecules in einkorn wheat (Triticum monococcum subsp. monococcum) by using small RNA sequencing analysis TURKISH JOURNAL OF BIOLOGY DOI:10.3906/biy-1802-3 Date :2018 2018 Author : Unlu, Ercan Selcuk; Bataw, Sara; Aslan Sen, Didem; Sahin, Yunus; Zencirci, Nusret 12 Discovery of small RNAs in wheat: a survey Indian Journal of Plant Physiology DOI:10.1007/s40502-017-0338-4 Date :Dec-17 2017 Author : Pandey, Ritu; Bhardwaj, Ankur R.; Agarwal, Manu; Katiyar-Agarwal, Surekha 13 miR430: the novel heat-responsive microRNA identified from miRNome analysis in wheat (Triticum aestivum L.) Indian Journal of Plant Physiology DOI:10.1007/s40502-017-0341-9 Date :Dec-17 2017 Author : Kumar, Mahesh; Kumar, Ranjeet R.; Goswami, Suneha; Verma, Pooja; Rai, Raj D.; Chinnusamy, Viswanathan; Praveen, Shelly 14 Identification and molecular characterization of a trans-acting small interfering RNA producing locus regulating leaf rust responsive gene expression in wheat (Triticum aestivum L.) PLANTA DOI:10.1007/s00425-017-2744-2 Date :Nov-17 2017 Author : Dutta, Summi; Kumar, Dhananjay; Jha, Shailendra; Prabhu, Kumble Vinod; Kumar, Manish; Mukhopadhyay, Kunal 15 Novel Insights into miRNA Regulation of Storage Protein Biosynthesis during Wheat Caryopsis Development under Drought Stress FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2017.01707 Date :OCT 4 2017 2017 Author : Chen, Xin-yu; Yang, Yang; Ran, Li-ping; Dong, Zhao-di; Zhang, Er-jin; Yu, Xu-run; Xiong, Fei 16 Assembly and Annotation of Transcriptome Provided Evidence of miRNA Mobility between Wheat and Wheat Stem Sawfly FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2017.01653 Date :SEP 26 2017 2017 Author : Cagirici, Halise B.; Biyiklioglu, Sezgi; Budak, Hikmet 17 The contrasting microRNA content of a drought tolerant and a drought susceptible wheat cultivar JOURNAL OF PLANT PHYSIOLOGY DOI:10.1016/j.jplph.2017.05.012 Date :Sep-17 2017 Author : Bakhshi, Behnam; Fard, Ehsan Mohseni; Gharechahi, Javad; Safarzadeh, Mahdieh; Nikpay, Nava; Fotovat, Reza; Azimi, Mohammad Reza; Salekdeh, Ghasem Hosseini 18 Uncovering Male Fertility Transition Responsive miRNA in a Wheat Photo-Thermosensitive Genic Male Sterile Line by Deep Sequencing and Degradome Analysis FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2017.01370 Date :AUG 8 2017 2017 Author : Bai, Jian-Fang; Wang, Yu-Kun; Wang, Peng; Duan, Wen-Jing; Yuan, Shao-Hua; Sun, Hui; Yuan, Guo-Liang; Ma, Jing-Xiu; Wang, Na; Zhang, Feng-Ting; Zhang, Li-Ping; Zhao, Chang-Ping 19 Puccinia striiformis f. sp tritici microRNA-like RNA 1 (Pst-milR1), an important pathogenicity factor of Pst, impairs wheat resistance to Pst by suppressing the wheat pathogenesis-related 2 gene NEW PHYTOLOGIST DOI:10.1111/nph.14577 Date :Jul-17 2017 Author : Wang, Bing; Sun, Yanfei; Song, Na; Zhao, Mengxin; Liu, Rui; Feng, Hao; Wang, Xiaojie; Kang, Zhensheng 20 Identification and Characterization of miRNA Transcriptome in Asiatic Cotton (Gossypium arboreum) Using High Throughput Sequencing FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2017.00969 Date :JUN 15 2017 2017 Author : Farooq, Muhammad; Mansoor, Shahid; Guo, Hui; Amin, Imran; Chee, Peng W.; Azim, M. Kamran; Paterson, Andrew H. 21 Isolation of Early-Responsive MicroRNA From Diuraphis noxia (Hemiptera: Aphididae)-Resistant Wheat JOURNAL OF ECONOMIC ENTOMOLOGY DOI:10.1093/jee/tox103 Date :Jun-17 2017 Author : Nicolis, Vittorio F.; Greyling, Sonia-Mari; Venter, Eduard 22 Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors FUNCTIONAL INTEGRATIVE GENOMICS DOI:10.1007/s10142-016-0487-y Date :May-17 2017 Author : Alptekin, Burcu; Budak, Hikmet 23 Long noncoding miRNA gene represses wheat beta-diketone waxes PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA DOI:10.1073/pnas.1617483114 Date :APR 11 2017 2017 Author : Huang, Daiqing; Feurtado, J. Allan; Smith, Mark A.; Flatman, Leah K.; Koh, Chushin; Cutler, Adrian J. 24 Virus-Based MicroRNA Silencing and Overexpressing in Common Wheat (Triticum aestivum L.) FRONTIERS IN PLANT SCIENCE DOI:10.3389/fpls.2017.00500 Date :APR 10 2017 2017 Author : Jian, Chao; Han, Ran; Chi, Qing; Wang, Shijuan; Ma, Meng; Liu, Xiangli; Zhao, Huixian 25 Genotypic water-deficit stress responses in durum wheat: association between physiological traits, microRNA regulatory modules and yield components FUNCTIONAL PLANT BIOLOGY DOI:10.1071/FP16294 Date :2017 2017 Author : Liu, Haipei; Able, Amanda J.; Able, Jason A. 26 A novel comprehensive wheat miRNA database, including related bioinformatics software Current Plant Biology DOI:10.1016/j.cpb.2016.10.003 Date :Nov-16 2016 Author : Remita, Mohamed Amine; Lord, Etienne; Agharbaoui, Zahra; Leclercq, Mickael; Badawi, Mohamed A.; Sarhan, Fathey; Diallo, Abdoulaye Banire 27 Wheat microRNA Member TaMIR444a Is Nitrogen Deprivation-Responsive and Involves Plant Adaptation to the Nitrogen-Starvation Stress PLANT MOLECULAR BIOLOGY REPORTER DOI:10.1007/s11105-016-0973-3 Date :Oct-16 2016 Author : Gao, Si; Guo, Chengjin; Zhang, Yongsheng; Zhang, Feifei; Du, Xiaoming; Gu, Juntao; Xiao, Kai 28 Identification and Comparative Analysis of microRNA in Wheat (Triticum aestivum L.) Callus Derived from Mature and Immature Embryos during In vitro Culture FRONTIERS IN PLANT SCIENCE DOI:10.3359/fpls.2016.01302 Date :AUG 30 2016 2016 Author : Chu, Zongli; Chen, Junying; Xu, Haixia; Dong, Zhongdong; Chen, Feng; Cui, Dangqun 29 miRNA-based drought regulation in wheat FUNCTIONAL INTEGRATIVE GENOMICS DOI:10.1007/s10142-015-0452-1 Date :May-16 2016 Author : Akdogan, Guray; Tufekci, Ebru Derelli; Uranbey, Serkan; Unver, Turgay 30 Analysis of wheat microspore embryogenesis induction by transcriptome and small RNA sequencing using the highly responsive cultivar Svilena BMC PLANT BIOLOGY DOI:10.1186/s12870-016-0782-8 Date :APR 21 2016 2016 Author : Seifert, Felix; Boessow, Sandra; Kumlehn, Jochen; Gnad, Heike; Scholten, Stefan 31 Polycistronic artificial miRNA-mediated resistance to Wheat dwarf virus in barley is highly efficient at low temperature MOLECULAR PLANT PATHOLOGY DOI:10.1111/mpp.12291 Date :Apr-16 2016 Author : Kis, Andras; Tholt, Gergely; Ivanics, Milan; Varallyay, Eva; Jenes, Barnabas; Havelda, Zoltan 32 Characterization of Small RNAs Derived from tRNAs, rRNAs and snoRNAs and Their Response to Heat Stress in Wheat Seedlings PLOS ONE DOI:10.1371/journal.pone.0150933 Date :MAR 10 2016 2016 Author : Wang, Yu; Li, Hongxia; Sun, Qixia; Yao, Yingyin 33 Meta-analysis of potential miRNA in Triticum astivum reveals their genome biased association with different metabolisms EST based potential miRNA identification in Wheat 2016 INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND SYSTEMS BIOLOGY (BSB) DOI: Date :2016 2016 Author : Nigam, Deepti; Kadimi, Puneet Kumar; Kumar, Sanjeev; Mishra, Dwijesh Chandra; Pandey, Pankaj; Singh, Manoj Kumar; Rai, Anil; Sinha, Subodh Kumar 34 Nitrate Starvation Induced Changes in Root System Architecture, Carbon:Nitrogen Metabolism, and miRNA Expression in Nitrogen-Responsive Wheat Genotypes APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY DOI:10.1007/s12010-015-1815-8 Date :Nov-15 2015 Author : Sinha, Subodh Kumar; Rani, Manju; Bansal, Niketa; Gayatri; Venkatesh, K.; Mandal, P. K. 35 Small RNA and Degradome Sequencing Reveal Complex Roles of miRNAs and Their Targets in Developing Wheat Grains PLOS ONE DOI:10.1371/journal.pone.0139658 Date :OCT 1 2015 2015 Author : Li, Tian; Ma, Lin; Geng, Yuke; Hao, Chenyang; Chen, Xinhong; Zhang, Xueyong 36 Small RNAs from the wheat stripe rust fungus (Puccinia striiformis f.sp tritici) BMC GENOMICS DOI:10.1186/s12864-015-1895-4 Date :SEP 21 2015 2015 Author : Mueth, Nicholas A.; Ramachandran, Sowmya R.; Hulbert, Scot H. 37 Combined Small RNA and Degradome Sequencing Reveals Novel MiRNAs and Their Targets in the High-Yield Mutant Wheat Strain Yunong 3114 PLOS ONE DOI:10.1371/journal.pone.0137773 Date :SEP 15 2015 2015 Author : Chen, Feng; Zhang, Xiangfen; Zhang, Ning; Wang, Shasha; Yin, Guihong; Dong, Zhongdong; Cui, Dangqun 38 Genome-wide analysis of small RNAs in the wheat pathogenic fungus Zymoseptoria tritici FUNGAL BIOLOGY DOI:10.1016/j.funbio.2015.03.008 Date :Jul-15 2015 Author : Yang, Fen 39 Barley Stripe Mosaic Virus (BSMV) Induced MicroRNA Silencing in Common Wheat (Triticum aestivum L.) PLOS ONE DOI:10.1371/journal.pone.0126621 Date :MAY 8 2015 2015 Author : Jiao, Jian; Wang, Yichun; Selvaraj, Jonathan Nimal; Xing, Fuguo; Liu, Yang 40 Identification of Novel miRNAs and miRNA Expression Profiling in Wheat Hybrid Necrosis PLOS ONE DOI:10.1371/journal.pone.0117507 Date :FEB 23 2015 2015 Author : Zhou, Jianping; Cheng, Yan; Yin, Meiqi; Yang, Ennian; Gong, Wenping; Liu, Cheng; Zheng, Xuelian; Deng, Kejun; Ren, Zhenglong; Zhang, Yong 41 Microarray-based identification of conserved microRNA from wheat and their expression profiles response to Puccinia striiformis f. sp tritici CANADIAN JOURNAL OF PLANT PATHOLOGY DOI:10.1080/07060661.2014.999124 Date :JAN 2 2015 2015 Author : Feng, Hao; Sun, Yanfei; Wang, Bing; Wang, Xiaojie; Kang, Zhensheng 42 Identifying functions of effectors and small RNAs involved in wheat-rust interactions PHYTOPATHOLOGY DOI:unknown Date :Dec-17 2017 Author : Ramachandran, S. R.; Yin, C.; Mueth, N. A.; Tanaka, K.; Hulbert, S. H. 43 Small RNA-mediated gene regulation of pathogen and host during wheat stripe rust infection PHYTOPATHOLOGY DOI:unknown Date :Dec-17 2017 Author : Mueth, N. A.; Hulbert, S. H. 44 Identification of conserved microRNA molecules in einkorn wheat (Triticum monococcum spp. monococcum) by deep sequencing analysis FEBS JOURNAL DOI:unknown Date :Sep-16 2016 Author : Unlue, E. S.; Bataw, S.; Kaya, O.; Zencirci, N. 45 Resistance gene regulation by microRNA in Diuraphis noxia infested wheat SOUTH AFRICAN JOURNAL OF BOTANY DOI:10.1016/j.sajb.2016.02.187 Date :Mar-16 2016 Author : Venter, E.; Nicolis, V. F.
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Scallop achieves higher sensitivity and precision than previous approaches over a wide range of coverage thresholds.¡± foriin{CS_CT_1_1,CS_CT_2_1,CS_CT_3_1,ABA1h_1_1,ABA1h_2_1,ABA1h_3_1,ABA12h_1_1,ABA12h_2_1,ABA12h_3_1,ABA24h_1_1,ABA24h_2_1,ABA24h_3_1};doscallop-i${i}.filtered.sorted.bam-o${i}.gtf;done ÉÏÊöÃüÁîÔËÐÐÍêÖ®ºó»á²úÉú12¸ögtfÎļþ¡£ÏÂÃæÒª×öµÄ¾ÍÊǺϲ¢Õâ12¸ögtfÎļþÖеÄת¼±¾¡£ÕâÀïʹÓà stringtie ¡ªmergeÃüÁî¡£ 4 ºÏ²¢×ªÂ¼±¾¡£ÆäÖÐiwgsc_refseqv1.0_HCandLC.gtfÀ´×Ô¹Ù·½µÄ×¢ÊÍÎļþ¡£mergelist.txt°üº¬ÉÏÊö12¸ögtfÎļþµÄÃû×Ö£¬Ã¿ÐÐÒ»¸ö£¬¹²12ÐÐ ¡£ stringtie--merge-p8-G/data/IWGSCv1.0/iwgsc_refseqv1.0_HCandLC.gtf-omeng_merged.gtf./mergelist.txt 5 Óë¹Ù·½×¢ÊÍÐÅÏ¢±È½Ï£¬ÕÒ³öÐÂÔöµÄת¼±¾»ò»ùÒò¡£ # ±È½Ï gffcompare-ogffall-r/data/IWGSCv1.0/iwgsc_refseqv1.0_HCandLC.gtfall_merged.gtf # gffcompareÃüÁîÀ´×Ôhttps://ccb.jhu.edu/software/stringtie/gffcompare.shtml # ·ÖÀëÐÂת¼±¾ gtfcuffpuniqgffall.all_merged.gtf.tmapall_merged.gtf/data/IWGSCv1.0_RefSeq_Annotations/iwgsc_refseqv1.0_HCandLC.gtfall_merged_unique.gtf # 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mv*_quantsalmon_result/ ÖÁ´Ë£¬¶¨Á¿²¿·ÖÍê³É µÚÈý²¿·Ö ²îÒì±í´ï·ÖÎö ÕâÀïʹÓÃsleuth¡£sleuth±¾À´ÊÇΪkallistoÁ¿Éí¶¨ÖƵģ¬Èç¹ûsalmonÏëʹÓÃsleuth½øÐвîÒì±í´ï·ÖÎö£¬ÔòÐèÒªÒ»¸öR°ü£¨wasabi£©½øÐÐת»»¡£ 1 °²×°wasabi #µØÖ·https://github.com/COMBINE-lab/wasabi source ( http://bioconductor.org/biocLite.R ) biocLite( devtools ) #onlyifdevtoolsnotyetinstalled biocLite( COMBINE-lab/wasabi ) »òÕßʹÓà conda install r-wasabi °²×° 2 ½á¹ûת»» library (wasabi) sfdirs-file.path( salmon_result ,c( CS_CT_1_quant , CS_CT_2_quant , CS_CT_3_quant , ABA1h_1_quant , ABA1h_2_quant , ABA1h_3_quant , ABA12h_1_quant , ABA12h_2_quant , ABA12h_3_quant , ABA24h_1_quant , ABA24h_2_quant , ABA24h_3_quant )) prepare_fish_for_sleuth(sfdirs) 3 ʹÓÃsleuth½øÐвîÒì±í´ï·ÖÎö # ÕâÀïÐèÒªÒ»¸ö·Ö×éÐÅÏ¢Îļþ¡°sample_infor.txt¡±£¬Èçϸñʽ£¬Á½ÁС£×¢ÒâµÚÒ»ÁеÄ˳ÐòÒª°´×Öĸ˳ÐòÅÅÁÐ samplecondition ABA1h_1ABA1h ABA1h_2ABA1h ABA1h_3ABA1h ABA12h_1ABA12h ABA12h_2ABA12h ABA12h_3ABA12h ABA24h_1ABA24h ABA24h_2ABA24h ABA24h_3ABA24h CS_CT_1CS_CT CS_CT_2CS_CT CS_CT_3CS_CT # ΪÁË»ñÈ¡»ùÒòˮƽµÄ²îÒ죬ÐèÒªÒ»¸öת¼±¾ºÍ»ùÒò¶ÔÓ¦µÄÎļþ¡°transcript_gene_relation.txt¡±¡£Îļþ°üÀ¨Á½ÁУ¬µÚÒ»ÁÐÊÇת¼±¾Ãû×Ö£¬µÚ¶þÁÐÊÇ»ùÒòÃû×Ö¡£ transcript_idgene_id TraesCS1A01G425600.1TraesCS1A01G425600 TraesCS1A01G425700.1TraesCS1A01G425700 TraesCS1A01G425800.1TraesCS1A01G425800 TraesCS1A01G602400LC.1TraesCS1A01G602400LC TraesCS1A01G602500LC.1TraesCS1A01G602500LC ÎÒÃÇÕâÀïÊÇ°´Ê±¼äµãÈ¡Ñù£¬¿ÉÒÔ°´ÕÕʱÐò·ÖÎö£¬²»±Ø½øÐÐÁ½Á½±È½Ï¡£ library (sleuth) #¼ÓÔØ°ü library (splines) #¼ÓÔØ°ü sample_id-dir(file.path( . , salmon_result )) #¼ÓÔØsalmon_resultϵÄÎļþ¼Ð sample_id #ÏÔʾÓжàÉÙÑùÆ· kal_dirs-file.path( . , salmon_result ,sample_id) kal_dirs s2c-read.table(file.path( . , sample_infor.txt ),header= TRUE ,stringsAsFactors= FALSE ) s2c-dplyr::select(s2c,sample=sample,condition) s2c-dplyr::mutate(s2c,path=kal_dirs) s2c #×¢Òâ²é¿´ÊÇ·ñÒ»Ò»¶ÔÓ¦£¬Õâ¸öµØ·½Ò»²»Ð¡ÐÄ»á³öÏÖ¶ÔÓ¦´íÎó¡£Ò²¼´ÎªÉ¶ÒªÇósample_infor.txtÀïÒª°´µÚÒ»ÁÐÅÅÐòµÄÔ­Òò¡£ design-model.matrix(~- 1 +factor(c( 1 , 1 , 1 , 2 , 2 , 2 , 3 , 3 , 3 , 4 , 4 , 4 ))) #´Ë´¦µÄdesignÎÒ²»ÊÇÊ®·ÖÈ·¶¨ÊÇ·ñ׼ȷ£¿ colnames(design)-c( CS_CT , ABA1h , ABA12h , ABA24h ) design t2g-read.table(file.path( . , transcript_gene_relation.txt ),header= TRUE ) t2g-dplyr::rename(t2g,target_id=transcript_id,gene_id=gene_id) so-sleuth_prep(s2c,full_model=design,num_cores= 1 ,target_mapping=t2g,aggregation_column= 'gene_id' ,extra_bootstrap_summary= TRUE ,read_bootstrap_tpm= TRUE ,gene_mode= TRUE ) #²ÎÊýnum_cores=1Ò»¶¨ÒªÉèΪ1£¬²»È»»á±¨´í¡£ #Èç¹û¶ÁÈ¡³öÏÖ´íÎ󣬿ÉÄÜÊÇÒòΪR°ürhdf5µÄÎÊÌ⣬¼´wasabiºÍsleuthÒÀÀµµÄrhdf5²»Í¬¡£ÎÒÕâÀï²ÉÈ¡µÄ²ßÂÔ¾ÍÊÇ·Ö±ð°²×°ÔÚ²»Í¬»·¾³ÀïÁË¡£»òʹÓÃcondainstall--channelbiocondar-sleuth¡£½«wasabi°²×°ÔÚwasabi»·¾³Àcondacreate-nwasabir-wasabi¡£Õâ¸ö»·¾³ÓësleuthµÄ»·¾³²»Í¬ so-sleuth_fit(so) so-sleuth_fit(so,formula=~ 1 ,fit_name= reduced ) so_lrt-sleuth_lrt(so, reduced , full ) models(so_lrt) sleuth_table-sleuth_results(so_lrt, 'reduced:full' , 'lrt' ,show_all= FALSE ) sleuth_significant-dplyr::filter(sleuth_table,qval= 0.05 ) head(sleuth_significant) write.csv(sleuth_table, CS_ABA_sleuth_gene_level.csv ,row.names= TRUE ,quote= TRUE ) write.csv(sleuth_significant, CS_ABA_sleuth_significant_gene_level.csv ,row.names= TRUE ,quote= TRUE ) sleuth_matrix-sleuth_to_matrix(so_lrt, 'obs_norm' , 'scaled_reads_per_base' ) head(sleuth_matrix) write.csv(sleuth_matrix, CS_ABA_sleuth_tpm_norm_gene_level.csv ,row.names= TRUE ,quote= TRUE ) ÎÒÃÇÒ²¿ÉÒÔ½øÐÐÁ½Á½±È½Ï #Ê×ÏÈÒªÃ÷È·µÄÊÇ£¬ÊÇÄÇЩÑù±¾Ö®¼ä½øÐÐÁ½Á½±È½Ï¡£´Ë´¦ÊÇ£ºCS_CTvsABA1h,CS_CTvsABA12h,CS_CTvsABA24h,ABA1hvsABA12h,ABA1hvsABA24h,ABA12hvsABA24h¡£¹²Áù×é library (sleuth) #¼ÓÔØ°ü library (stringr) #¼ÓÔØ°ü sample_id-dir(file.path( . , salmon_result )) #¼ÓÔØsalmon_resultϵÄÎļþ¼Ð kal_dirs-file.path( . , salmon_result ,sample_id) s2c-read.table(file.path( . , sample_infor.txt ),header= TRUE ,stringsAsFactors= FALSE ) s2c-dplyr::select(s2c,sample=sample,condition) s2c-dplyr::mutate(s2c,path=kal_dirs) s2c #×¢Òâ²é¿´ÊÇ·ñÒ»Ò»¶ÔÓ¦£¬Õâ¸öµØ·½Ò»²»Ð¡ÐÄ»á³öÏÖ¶ÔÓ¦´íÎó¡£Ò²¼´ÎªÉ¶ÒªÇósample_infor.txtÀïÒª°´µÚÒ»ÁÐÅÅÐòµÄÔ­Òò¡£ t2g-read.table(file.path( . , transcript_gene_relation.txt ),header= TRUE ) t2g-dplyr::rename(t2g,target_id=transcript_id,gene_id=gene_id) #ÏÂÃæµÄÓï¾ä½øÈëÁ½Á½±È½Ï a-list(c( CS_CT , ABA1h ),c( CS_CT , ABA12h ),c( CS_CT , ABA24h ),c( ABA1h , ABA12h ),c( ABA1h , ABA24h ),c( ABA12h , ABA24h )) for (xxx in a){ s2b-dplyr::filter(s2c,condition==xxx |condition==xxx ) so-sleuth_prep(s2b,~condition,num_cores= 1 ,target_mapping=t2g,aggregation_column= 'gene_id' ,extra_bootstrap_summary= TRUE ,read_bootstrap_tpm= TRUE ,gene_mode= TRUE ) so-sleuth_fit(so) so-sleuth_fit(so,formula=~ 1 ,fit_name= reduced ) so_lrt-sleuth_lrt(so, reduced , full ) models(so_lrt) sleuth_table-sleuth_results(so_lrt, 'reduced:full' , 'lrt' ,show_all= FALSE ) sleuth_significant-dplyr::filter(sleuth_table,qval= 0.05 ) head(sleuth_significant) write.csv(sleuth_table,str_c(xxx , vs ,xxx , _sleuth_gene_level.csv ),row.names= TRUE ,quote= TRUE ) write.csv(sleuth_significant,str_c(xxx , vs ,xxx , _sleuth_significant_gene_level.csv ),row.names= TRUE ,quote= TRUE ) sleuth_matrix-sleuth_to_matrix(so_lrt, 'obs_norm' , 'tpm' ) head(sleuth_matrix) write.csv(sleuth_matrix,str_c(xxx , vs ,xxx , _sleuth_tpm_norm_gene_level.csv ),row.names= TRUE ,quote= TRUE ) } sleuth»¹ÌṩÁËһЩ»­Í¼º¯Êý£¬ÓÐÐËȤµÄ¿ÉÒÔ×ÔÐг¢ÊÔ¡£ PCA samples_density sleuth½á¹ûÀïÖ»ÌṩÁËq value À´É¸Ñ¡²îÒì±í´ï»ùÒò£¬Ã»Óб¶Êý±ä»¯µÄ½á¹û¡£ÕâÀï¿ÉÒÔʹÓÃexcel×ÔÐнøÐмÆËã¡£ ¼ÆËã Fold change£¨±¶Êý±ä»¯£©£¬Ê®·Ö¼òµ¥´Ö±©µÄ·½·¨£¬¼ÆËã·½·¨ÈçÏ£º E = mean (group1) B=mean (group2) FC= (E-B) / min (E, B) »ùÒò A ºÍ»ùÒò B µÄƽ¾ùÖµÖ®²îÓëÁ½ÕßÖнÏСµÄ±ÈÖµ¡£Ñ¡Ôñ 2-3 ±¶µÄ»ùÒò×÷Ϊ²îÒì±í´ï»ùÒò¼´¿É¡£¿ÉÒÔ¸ù¾Ý¾ßÌåÊý¾Ý£¬Õå×ÃʹÓᣠÌṩһ¸öСÂóÀïµÄÎÄÏ××÷Ϊ²Î¿¼°É¡£½ñÄêCristobal UauyÔÚBMC Plant BiologyÉÏÒÔͨѶ×÷Õß·¢±íµÄÎÄÕ£¬ÌâÄ¿ÊÇ¡°Ubiquitin-related genes are differentially expressed in isogenic lines contrasting for pericarp cell size and grain weight in hexaploid wheat¡±¡£ BMC Plant Biology
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salmonÈí¼þÓÚ2017Äê·¢±íÔÚNature Methods£¬ÂÛÎÄÌâÄ¿ÊÇ¡° Salmon provides fast and bias-aware quantification of transcript expression ¡± ¡£²»µ½Á½ÄêµÄʱ¼ä±»Òý250¶à´Î¡£ ¸ù¾ÝÎÄÖеÄÃèÊö£¬salmonÒªÓÅÓÚkallistoºÍexpressÈí¼þ¡£ ½ñÌìÎÒÃǽáºÏСÂó×îеÄIWGSCv1.1°æ±¾µÄ»ùÒò¼¯£¬½éÉÜÏÂÆ䶨Á¿Á÷³Ì£¬Óëkallisto½øÐÐÒ»¸ö¶¨Á¿½á¹ûµÄ±È½Ï£¬ÒÔ¼°¿´Ò»¿´»ùÒò¿½±´Êý±ä»¯Ê±TPMÈçºÎ±ä»¯¡£ Ê×Ñ¡Òª¶Ôת¼±¾½øÐÐindex salmon index --keepDuplicates -t IWGSC_v1.1_HC_LC_20170706_transcripts.fasta -i IWGSC_v1.1_HC_LC ÏÂÔزâÊÔÊý¾Ý,¸Ã²âÊÔÊý¾ÝÀ´×ÔÖйú´ºµÄҶƬ¡£ axel -a -n 12 ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR947/SRR947005/SRR947005_1.fastq.gz axel -a -n 12 ftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR947/SRR947005/SRR947005_2.fastq.gz ½øÐж¨Á¿ salmon quant -i IWGSC_v1.1_HC_LC -l A -1 SRR947005_1.fastq.gz -2 SRR947005_2.fastq.gz -p 8 -o SRR947005_quant -i ָҪʹÓõÄת¼×éindex ÕâÀïÊÇÎÒÃǵÚÒ»²½Éú³ÉµÄIWGSCv1.1°æ±¾µÄת¼×éindex£» -l ÕâÀïÐèÒªÖ¸¶¨²âÐòģʽ£¬ÕâÀï-AÊÇÖ¸×Ô¶¯Åж¨¡£ -1 -2 ·Ö±ðÒªÊäÈë×ó¶Ë²âÐòÊý¾ÝºÍÓҶ˲âÐòÊý¾Ý -p ÔòÊÇÒªÖ¸¶¨ÔËÐгÌÐòµÄcpuÏß³ÌÊý ÉÏÊö¶¨Á¿ÃüÁîʹÓòâÐòµÄԭʼreads½øÐеģ¬ÕâÀﻹÓÐÁíÍâÒ»ÖÖ»ùÓڱȶԵķ½Ê½£¬¼´ÊäÈëÎļþÊÇBAM»òSAMÎļþ¡£ Êä³öµÄ½á¹ûÎļþÈçÏÂËùʾ£¬ÆäÖÐquant.sfÀïÓÐÿ¸ö»ùÒòµÄ±í´ïÁ¿¡£ salmon¶¨Á¿Êä³öÎļþ kallisto¶¨Á¿¹ý³Ì Ê×ÏÈÒ²ÊÇÒª¶Ôת¼×é½øÐÐindex kallisto index -i IWGSC_v1.1_HC_LC_kallisto IWGSC_v1.1_HC_LC_20170706_transcripts.fasta Æä´ÎÊǶ¨Á¿¹ý³Ì¡£ kallisto quant -i IWGSC_v1.1_HC_LC_kallisto -t 10 -o SRR947005_kallisto SRR947005_1.fastq.gz SRR947005_2.fastq.gz ͬÑùµÄ½á¹ûÎļþÈçÏÂͼËùʾ£¬ÆäÖÐabundance.tsvÀïÓÐÿ¸ö»ùÒòµÄ±í´ïÁ¿¡£ kallisto¶¨Á¿½á¹ûÊä³öÎļþ salmonÎÄÕ±ȽϵÄÄÚÈÝ£¬ÕâÀï²»ÔٱȽϡ£ÏÂÃæÎÒÃÇ×öÒ»¸ö±È½Ï³õ²½µÄ·ÖÎö¡£ Ê×ÏÈ¿´TPM´óÓÚ0, 0.5, 1, 10µÄ»ùÒòÊýÄ¿¡£×¢ÒâÁ½Õßת¼±¾µÄ×ÜÊýÊÇÒ»Öµġ£ TPM 0 0.5 1 10 Salmon 109998 58690 43160 7172 kallisto 116087 60805 44721 7443 kallisto-Salmon 6089 2115 1561 271 ´Ó»ùÒòÊýÁ¿ÉÏÀ´¿´£¬kallistoÓиü¶àµÄ»ùÒòÓÐTPMÖµ£¬¶øÇÒÏàͬת¼±¾»ñµÃµÄTPMÖµ£¬kallisto»ñµÃµÄÍùÍùÒª´óÓÚsalmon»ñµÃµÄ¡£µ«ÕâÒ²²»ÊǾø¶ÔµÄ£¬ÈçÏÂͼ¡£ÒÔת¼±¾TraesCS3B02G080100.1ΪÀý£¬ÕâÀïʹÓÃsalmon»ñµÃµÄTPMÖµÊÇ338.82£¬¶øʹÓÃkallisto»ñµÃµÄÊÇ168.69¡£ÄÇôÕë¶ÔÕâÒ»¸ö»ùÒò£¬Äĸö¸ü׼ȷһµãÄØ£¿ image-20180902220909122 ¶ø²éÔÄÐÅÏ¢¿ÉÖª£¬Ö÷ÒªÊÇÁ½ÕßµÄ effecting length ²»Í¬µ¼Ö£¬¶øcountÊýÁ¿ºÜÏàËÆ¡£ Name Length EffectiveLength TPM(salmon) NumReads target_id length eff_length est_counts tpm(kallisto) TraesCS3B02G080100.1 171 35.605 338.816942 531.769 TraesCS3B02G080100.1 171 78.4896 532.115 168.686 This is the computed effective length of the target transcript. It takes into account all factors being modeled that will effect the probability of sampling fragments from this transcript, including the fragment length distribution and sequence-specific and gc-fragment bias (if they are being modeled). ¶økallistoÀïµÄ¶¨ÒåΪ£º ¡°Effective length¡± is a scaling of transcript length by the fragment length distribution ¾ßÌåµÄ¿É²Î¼û¡°https://haroldpimentel.wordpress.com/2014/05/08/what-the-fpkm-a-review-rna-seq-expression-units/¡±¡£ ²é¹ýһЩ×ÊÁÏ£¬Ô½¿´Ô½ºýÍ¿¡£²»¹ý£¬Èç¹ûʹÓÃͬһÈí¼þ´¦ÀíËùÓеÄÊý¾ÝÓ¦¸ÃÊÇûÓÐÎÊÌâµÄ¡£ ÒòΪIWGSC¹Ù·½Ò²ÓÐÕâ¸öÊý¾Ý¼¯µÄcountºÍTPMÖµ£¬ÎÒÈ¥²é¿Éһϣ¬¾¹È»ºÍÎҵIJ»Ò»Ñù¡£ transcript COUNT \0 COUNT TPM TraesCS3B02G080100.1 294.42 96.0559 ¶øÎÒÕâ±ß¸øµÄcountÊÇ532.115£¬tpmÊÇ168.686¡£ÊÂÇé±äµÃ¸´ÔÓÆðÀ´¡£ÎÒϸÏëÁËÔ­Òò£¬¿ÉÄÜÓÐÁ½·½ÃæµÄÔ­Òò¡£ÆäÒ»£¬ÎÒÃÇʹÓõÄÈí¼þ°æ±¾²»Í¬£¬Æä¶þÎÒÃÇʹÓõÄÊý¾ÝSRR947005£¬ËûÃÇ¿ÉÄܾ­¹ýһЩԤ´¦Àí¡£¶øÎÒÖ±½ÓÏÂÏÂÀ´Ê¹Óã¬Ã»Óо­¹ýÔ¤´¦Àí¡£ ¹ØÓÚÈí¼þ°æ±¾£¬ËûÃÇÓõÄÊÇ0.42.3£¬¶øÎÒÓõÄÊÇkallisto 0.44.0 ¡£ËùÒÔ£¬½ÓÏÂÀ´ÎÒÃǾÍÒªÅųýÈí¼þ°æ±¾µÄ²îÒì¡£ To calculate the read counts and TPMs we used Kallisto version 0.42.3 . The index was built with the default values and K=31. Kallisto was run with the default parameters. All the fastq files from a single sample are run together. The reference used was RefSeqv1.1, including the High and Low quality genes (IWGSC_v1.1_ALL_20170706_transcripts.fasta) ½á¹ûÓеãÈÃÎÒ½ÓÊܲ»ÁË¡£¼´Èç¹ûÎÒʹÓÃ0.42.3°æ±¾£¬µÃµ½µÄcountºÍTPM¾ÍºÍIWGSCÉÏÏÂÔصÄÒ»ÑùÁË¡£µ«ÏÔÈ»ÓëÎÒ0.44.0µÄ°æ±¾²»Ò»Ö¡£ËùÒÔÖмä³öÏÖÁËʲô±ä¹Ê£¿ kallisto target_id length eff_length est_counts tpm(kallisto) 0.44.0 TraesCS3B02G080100.1 171 78.4896 532.115 168.686 0.42.3 TraesCS3B02G080100.1 171 79.8953 294.42 96.0563 ÓÐʲô±ä¹ÊÎÒÃDz»µÃ¶øÖª£¬µ«ÏÔÈ»ÈÃÎÒÓеã½ÓÊܲ»ÁË£¬ÎҵĽá¹ûÀïÓжàÉÙÕâÑùÈÎÐԵĻùÒò£¿×ö³öÀ´µÄ²îÒì»ùÒòÓжàÉÙÓÖÊÇ¿ÉÐŵģ¿ÏÂÃæÊÇ×÷ÕߵĻشð¡£Èí¼þ×÷Õß½¨ÒéʹÓÃ×îа汾¡£ image-20180903155107203 ×÷Õ߶¼ÕâÑù˵ÁË£¬¼ÓÉÏ×îа汾µÄcountÒ²ÓësalmonÒ»Ö£¬ËùÒÔ£¬ÕâÈñ¾´òËãʹÓÃ850 RNA-seq Ñù±¾×öЩ·ÖÎöµÄÎÒÓеã³ÙÒÉ¡£ µÚ¶þ²¿·Ö£¬Ì½¾¿»ùÒò¿½±´Êý¶Ô¶¨Á¿½á¹ûµÄÓ°Ïì ¾¡¹Ü×î½üscienceÉÏת¼×éÄÇƪÎÄÕÂÒ²ÓÐÏàËƵÄÌÖÂÛ£¬²»¹ýÎÒ»¹ÊÇÏëÑÛ¼ûΪʵ¡£Õâ¸ö²âÊÔÒ²·Ç³£¼òµ¥£¬ÄǾÍÊÇÈËΪÔö¼Óij¸ö»ùÒòµÄ¿½±´Êý£¬¹Û²ì¶ÔÕâ¸ö»ùÒò±¾ÉíµÄÓ°ÏìÒÔ¼°ÁíÍâÁí¸öͬԴ»ùÒòµÄÓ°Ïì¡£ÕâÀïÑ¡È¡TraesCS3D02G074400.1 £¬TraesCS3B02G080100.1 ºÍTraesCS1D02G227700.1 ¡£TraesCS3D02G074400.1Êǹ¼ҹÑÈË¡£¶øTraesCS3B02G080100.1ÔòÓжà¸öͬԴ»ùÒò£¬TraesCS3B02G080700.1£¬ TraesCS3D02G067400.1, TraesCS3A02G067400.1, TraesCS3B02G080600.1, TraesCS3D02G067100.1, TraesCS7B02G443100.1, TraesCS3D02G067200.1, TraesCS3D02G219800.1, TraesCS3A02G233600.1 £»¶øTraesCS1D02G227700.1¶ÔÓ¦µÄÓÐTraesCS1B02G240400.1£¬TraesCS1A02G226300.1,ͬʱ¸Ã»ùÒò»¹Óпɱä¼ôÇУ¬TraesCS1D02G227700.2£¬TraesCS1B02G240400.2£¬TraesCS1A02G226300.2¡£ ËùÒÔÎÒÃDZȽϵÄÖصã¾Í·ÅÔÚÕ⼸¸ö»ùÒòÉÏ£¬¿´Õ⼸¸ö»ùÒòµÄ±ä»¯¡£ kallisto index -i IWGSC_v1 .1_HC_LC_kallisto_add IWGSC_v1 .1_HC_LC_add.fasta kallisto quant -i IWGSC_v1 .1_HC_LC_kallisto_add -t 10 -o SRR947005_kallisto_add SRR947005_1 .fastq.gz SRR947005_2 .fastq.gz Ê×ÏȶÔÕâÈý¸ö»ùÒòÀ´Ëµ£¬Æä±í´ïÁ¿¼õ°ë¡£ÒòΪÎÒÃÇÔÚÐòÁÐÉÏÒ»×Öδ¸ÄµÄ¸´ÖÆÁËÕâ3¸öÐòÁС£ËùÒÔ´Ó½á¹û¿´£¬¸´ÖƵĻùÒò·ÖÏíÁËÒ»°ëµÄreads¡£ target_id length eff_length est_counts tpm(kallisto) add|TraesCS3B02G080100.1 171 79.2217 266.054 83.6109 TraesCS3B02G080100.1 171 79.2217 266.054 83.6109 add|TraesCS3D02G074400.1 752 561.072 4175.4 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enrichment analysis of global -omics data¡±¡£¸ÃÎÄ2015Äê·¢±íÔÚgenome biologyÉÏ¡£ ÎÄÖеĽáÂÛÊÇ£º The generation of an estimated background ¡®universe¡¯ in RNA-seq data could be achieved by removing zero-count genes , but the nature of this ¡®universe¡¯ will still depend on many factors. This list should contain only factors (RNA or protein) that are both robustly ¡®probed or sequenced¡¯ (to avoid technology and detection bias) and ¡®called¡¯ as expressed (to avoid biological bias) in the experiment. After all, we do not want to carry out functional enrichment analysis of a specific tissue simply to be informed that we are studying that tissue! In conclusion, functional enrichment analysis must not be considered proof of biological plausibility or validity in the analysis of high-throughput -omics data. We strongly advocate for efforts to generate appropriate background expression ¡®universes¡¯. We also urge that background gene lists are provided for any functional enrichment analysis, and that a higher statistical threshold is used as a default, given the scale of the pre-existing biases, to avoid marginal (e.g., 1 ¡Á 10^−3^ or 1 ¡Á ^10−4^) enrichments being relied on to drive the interpretation of an experiment. ×ö²îÒì»ùÒò¹¦Äܸ»¼¯·ÖÎöµÄÒ»¶¨Òª¿´¿´±¾ÎÄ¡£Àï±ßÌÖÂÛÁ˸÷ÖÖÓпÉÄܵ¼ÖÂ×îÖÕ½á¹û²»×¼È·µÄÇé¿ö¡£ һЩÔÚÏß½øÐÐGO¸»¼¯·ÖÎöµÄÍøÕ¾£¬Èç¹û²»ÄÜ×Ô¼º±³¾°ÐòÁУ¬ÄǾÍÊÇË£Á÷Ã¥¡£ However, somewhat surprisingly, the Gene Ontology consortium website analysis tool does not allow for this option, making any analysis thoroughly unreliable. ʵ¼ÊÉÏÈκÎʵÑéÊֶζ¼²»ÊÇÍêÃÀµÄ¡£ÎÒÃÇÏÖÔÚ×öRNA-seq±È½Ï·½±ã£¬RNA-seq²¢²»ÊÇÍòÄÜÄØ£¬µ°°×ˮƽ¾ÍÒª±Èת¼ˮƽҪºÃ¡£»¹ÓÐ×éÖ¯±Ï¾¹ÊÇ»ìÔÓ£¬Äǵ¥Ï¸°û½á¹ûÓÖÈçºÎÄØ£¿´úл×éÄØ£¿ ͨ¹ý²îÒì±í´ï»ùÒò¹¦Äܸ»¼¯½á¹ûÎÒÃÇ¿ÉÒÔ˵²ÎÓëÁËijЩͨ·£¬»òÕßÔÚÄÄЩͨ·Éϸ»¼¯¡£µ«×îºÃ²»ÒªËµÓëÄÄЩͨ·Î޹أ¬µ«¿ÉÒÔ˵ÕâЩͨ·ÉϵĻùÒòûÓи»¼¯¡£
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1 TaWRKY51 promotes lateral root formation through negatively regulating ethylene biosynthesis in wheat (Triticum aestivum L.). Plant J. 2018 Jul 25. doi: 10.1111/tpj.14038. PMID:30044519 Author : Hu, Zhaorong; Wang, Rui; Zheng, Mei; Liu, Xingbei; Meng, Fei; Wu, Hualing; Yao, Yingyin; Xin, Mingming; Peng, Huiru; Ni, Zhongfu; Sun, Qixin; 2 Reproductive sink enhanced drought induced senescence in wheat fertile line is associated with loss of antioxidant competence compared to its CMS line. Physiol Mol Biol Plants. 2018 Jul;24(4):591-604. doi: 10.1007/s12298-018-0549-9. Epub 2018 May 19. PMID:30042615 Author : Semwal, Vimal Kumar; Khanna-Chopra, Renu; 3 Integrated physiology and proteome analysis of embryo and endosperm highlights complex metabolic networks involved in seed germination in wheat (Triticum aestivum L.). J Plant Physiol. 2018 Jul 11;229:63-76. doi: 10.1016/j.jplph.2018.06.011. PMID:30041047 Author : Liu, Yue; Han, Caixia; Deng, Xiong; Liu, Dongmiao; Liu, Nannan; Yan, Yueming; 4 Root traits and root biomass allocation impact how wheat genotypes respond to organic amendments and earthworms. PLoS One. 2018 Jul 24;13(7):e0200646. doi: 10.1371/journal.pone.0200646. eCollection 2018. PMID:30040842 Author : Junaidi, Junaidi; Kallenbach, Cynthia M; Byrne, Patrick F; Fonte, Steven J; 5 Proteomics of bulked rachides combined with documented QTLs uncovers genotype non-specific players of the Fusarium head blight responses in wheat. Phytopathology. 2018 Jul 24. doi: 10.1094/PHYTO-03-18-0086-R. PMID:30040027 Author : Liu, Jiajun; Li, Lei; Foroud, Nora; Li, Changcheng; Gong, Xuan; Li, Tao; 6 Evaluation and identification of stem rust resistance genes Sr2, Sr24, Sr25, Sr26, Sr31 and Sr38 in wheat lines from Gansu Province in China. PeerJ. 2017 Dec 21;5:e4146. doi: 10.7717/peerj.4146. eCollection 2017. PMID:30038849 Author : Xu, Xiao Feng; Li, Dan Dan; Liu, Yang; Gao, Yue; Wang, Zi Yuan; Ma, Yu Chen; Yang, Shuo; Cao, Yuan Yin; Xuan, Yuan Hu; Li, Tian Ya; 7 Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population. Front Plant Sci. 2018 Jul 9;9:887. doi: 10.3389/fpls.2018.00887. eCollection 2018. PMID:30038630 Author : Camargo, Anyela V; Mackay, Ian; Mott, Richard; Han, Jiwan; Doonan, John H; Askew, Karen; Corke, Fiona; Williams, Kevin; Bentley, Alison R; 8 Differences in hydrolytic enzyme activity accompany natural variation in mature aleurone morphology in barley (Hordeum vulgare L.). Sci Rep. 2018 Jul 23;8(1):11025. doi: 10.1038/s41598-018-29068-4. PMID:30038399 Author : Aubert, Matthew K; Coventry, Stewart; Shirley, Neil J; Betts, Natalie S; Wurschum, Tobias; Burton, Rachel A; Tucker, Matthew R; 9 Genome-Wide Association Study for Spot Blotch Resistance in Hard Winter Wheat. Front Plant Sci. 2018 Jul 6;9:926. doi: 10.3389/fpls.2018.00926. eCollection 2018. PMID:30034404 Author : Ayana, Girma T; Ali, Shaukat; Sidhu, Jagdeep S; Gonzalez Hernandez, Jose L; Turnipseed, Brent; Sehgal, Sunish K; 10 A Malectin-like/LRR receptor protein kinase gene, RLK-V, regulates powdery mildew resistance in wheat. Mol Plant Pathol. 2018 Jul 20. doi: 10.1111/mpp.12729. PMID:30030900 Author : Hu, Ping; Liu, Jiaqian; Xu, Jiefei; Zhou, Chuanyu; Cao, Shuqi; Zhou, Weihao; Huang, Zhenpu; Yuan, Sufan; Wang, Xiue; Xiao, Jin; Zhang, Ruiqi; Wang, Haiyan; Zhang, Shouzhong; Xing, Liping; Cao, Aizhong; 11 Expression Analysis of Nitrogen Metabolism-Related Genes Reveals Differences in Adaptation to Low-Nitrogen Stress between Two Different Barley Cultivars at Seedling Stage. Int J Genomics. 2018 Jun 20;2018:8152860. doi: 10.1155/2018/8152860. eCollection 2018. PMID:30027094 Author : Chen, Zhiwei; Liu, Chenghong; Wang, Yifei; He, Ting; Gao, Runhong; Xu, Hongwei; Guo, Guimei; Li, Yingbo; Zhou, Longhua; Lu, Ruiju; Huang, Jianhua; 12 QTL Mapping and Validation of Adult Plant Resistance to Stripe Rust in Chinese Wheat Landrace Humai 15. Front Plant Sci. 2018 Jul 5;9:968. doi: 10.3389/fpls.2018.00968. eCollection 2018. PMID:30026752 Author : Yuan, Feng-Ping; Zeng, Qing-Dong; Wu, Jian-Hui; Wang, Qi-Lin; Yang, Zu-Jun; Liang, Bang-Ping; Kang, Zhen-Sheng; Chen, Xin-Hong; Han, De-Jun; 13 Measuring Activity of Native Plant Sirtuins - The Wheat Mitochondrial Model. Front Plant Sci. 2018 Jul 5;9:961. doi: 10.3389/fpls.2018.00961. eCollection 2018. PMID:30026749 Author : Soccio, Mario; Laus, Maura N; Alfarano, Michela; Pastore, Donato; 14 Genome-wide sequence and expressional analysis of autophagy Gene family in bread wheat (Triticum aestivum L.). J Plant Physiol. 2018 Jul 11;229:7-21. doi: 10.1016/j.jplph.2018.06.012. PMID:30025220 Author : Yue, Wenjie; Nie, Xiaojun; Cui, Licao; Zhi, Yongqiang; Zhang, Ting; Du, Xianghong; Song, Weining; 15 Applications of Machine Learning Methods to Genomic Selection in Breeding Wheat for Rust Resistance. Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.11.0104. PMID:30025028 Author : Gonzalez-Camacho, Juan Manuel; Ornella, Leonardo; Perez-Rodriguez, Paulino; Gianola, Daniel; Dreisigacker, Susanne; Crossa, Jose; 16 Selection in Early Generations to Shift Allele Frequency for Seminal Root Angle in Wheat. Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.08.0071. PMID:30025018 Author : Richard, Cecile; Christopher, Jack; Chenu, Karine; Borrell, Andrew; Christopher, Mandy; Hickey, Lee; 17 Genomic-enabled Prediction Accuracies Increased by Modeling Genotype x Environment Interaction in Durum Wheat. Plant Genome. 2018 Jul;11(2). doi: 10.3835/plantgenome2017.12.0112. PMID:30025014 Author : Sukumaran, Sivakumar; Jarquin, Diego; Crossa, Jose; Reynolds, Matthew; 18 Cold Tolerance of Photosynthetic Electron Transport System Is Enhanced in Wheat Plants Grown Under Elevated CO2. Front Plant Sci. 2018 Jul 4;9:933. doi: 10.3389/fpls.2018.00933. eCollection 2018. PMID:30022988 Author : Zhu, Xiancan; Liu, Shengqun; Sun, Luying; Song, Fengbin; Liu, Fulai; Li, Xiangnan; 19 Assessing European Wheat Sensitivities to Parastagonospora nodorum Necrotrophic Effectors and Fine-Mapping the Snn3-B1 Locus Conferring Sensitivity to the Effector SnTox3. Front Plant Sci. 2018 Jul 4;9:881. doi: 10.3389/fpls.2018.00881. eCollection 2018. PMID:30022985 Author : Downie, Rowena C; Bouvet, Laura; Furuki, Eiko; Gosman, Nick; Gardner, Keith A; Mackay, Ian J; Campos Mantello, Camila; Mellers, Greg; Phan, Huyen T T; Rose, Gemma A; Tan, Kar-Chun; Oliver, Richard P; Cockram, James; \0 \0
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2018ÄêµÚ29ÖÜСÂóÎÄÏ×»ã×Ü£¨7.21£© 1 Characterization of wheat (Triticum aestivum) TIFY family and role of Triticum Durum TdTIFY11a in salt stress tolerance. PLoS One. 2018 Jul 18;13(7):e0200566. doi: 10.1371/journal.pone.0200566. eCollection 2018. PMID:30021005 Author : Ebel, Chantal; BenFeki, Asma; Hanin, Moez; Solano, Roberto; Chini, Andrea; 2 Barley heads east: Genetic analyses reveal routes of spread through diverse Eurasian landscapes. PLoS One. 2018 Jul 18;13(7):e0196652. doi: 10.1371/journal.pone.0196652. eCollection 2018. PMID:30020920 Author : Lister, Diane L; Jones, Huw; Oliveira, Hugo R; Petrie, Cameron A; Liu, Xinyi; Cockram, James; Kneale, Catherine J; Kovaleva, Olga; Jones, Martin K; 3 Phenotyping of isogenic chlorophyll-less bread and durum wheat mutant lines in relation to photoprotection and photosynthetic capacity. Photosynth Res. 2018 Jul 17. pii: 10.1007/s11120-018-0559-z. doi: 10.1007/s11120-018-0559-z. PMID:30019176 Author : Zivcak, Marek; Brestic, Marian; Botyanszka, Lenka; Chen, Yang-Er; Allakhverdiev, Suleyman I; 4 Melatonin Mitigates Salt Stress in Wheat Seedlings by Modulating Polyamine Metabolism. Front Plant Sci. 2018 Jul 3;9:914. doi: 10.3389/fpls.2018.00914. eCollection 2018. PMID:30018628 Author : Ke, Qingbo; Ye, Jun; Wang, Bomei; Ren, Jianhong; Yin, Lina; Deng, Xiping; Wang, Shiwen; 5 Precrop Functional Group Identity Affects Yield of Winter Barley but Less so High Carbon Amendments in a Mesocosm Experiment. Front Plant Sci. 2018 Jul 3;9:912. doi: 10.3389/fpls.2018.00912. eCollection 2018. PMID:30018627 Author : van Duijnen, Richard; Roy, Julien; Hardtle, Werner; Temperton, Vicky M; 6 Evaluation of the Potential for Genomic Selection to Improve Spring Wheat Resistance to Fusarium Head Blight in the Pacific Northwest. Front Plant Sci. 2018 Jul 3;9:911. doi: 10.3389/fpls.2018.00911. eCollection 2018. PMID:30018626 Author : Dong, Haixiao; Wang, Rui; Yuan, Yaping; Anderson, James; Pumphrey, Michael; Zhang, Zhiwu; Chen, Jianli; 7 A regulator of early flowering in barley (Hordeum vulgare L.). PLoS One. 2018 Jul 17;13(7):e0200722. doi: 10.1371/journal.pone.0200722. eCollection 2018. PMID:30016338 Author : Ibrahim, Ahmed; Harrison, Matthew; Meinke, Holger; Fan, Yun; Johnson, Peter; Zhou, Meixue; 8 Variable Patterning of Chromatin Remodeling, Telomere Positioning, Synapsis, and Chiasma Formation of Individual Rye Chromosomes in Meiosis of Wheat-Rye Additions. Front Plant Sci. 2018 Jul 2;9:880. doi: 10.3389/fpls.2018.00880. eCollection 2018. PMID:30013585 Author : Naranjo, Tomas; 9 Transposable element insertions shape gene regulation and melanin production in a fungal pathogen of wheat. BMC Biol. 2018 Jul 16;16(1):78. doi: 10.1186/s12915-018-0543-2. PMID:30012138 Author : Krishnan, Parvathy; Meile, Lukas; Plissonneau, Clemence; Ma, Xin; Hartmann, Fanny E; Croll, Daniel; McDonald, Bruce A; Sanchez-Vallet, Andrea; 10 Inheritance and Genetic Mapping of the Reduced Height (Rht18) Gene in Wheat. Plants (Basel). 2018 Jul 15;7(3). pii: plants7030058. doi: 10.3390/plants7030058. PMID:30011961 Author : Grant, Nathan P; Mohan, Amita; Sandhu, Devinder; Gill, Kulvinder S; 11 An Extract Purified from the Mycelium of a Tomato Wilt-Controlling Strain of Fusarium sambucinum Can Protect Wheat against Fusarium and Common Root Rots. Pathogens. 2018 Jul 14;7(3). pii: pathogens7030061. doi: 10.3390/pathogens7030061. PMID:30011945 Author : Shcherbakova, Larisa A; Nazarova, Tatyana A; Mikityuk, Oleg D; Istomina, Ekaterina A; Odintsova, Tatyana I; 12 Effect of Ppd-A1 and Ppd-B1 Allelic Variants on Grain Number and Thousand Kernel Weight of Durum Wheat and Their Impact on Final Grain Yield. Front Plant Sci. 2018 Jun 29;9:888. doi: 10.3389/fpls.2018.00888. eCollection 2018. PMID:30008727 Author : Arjona, Jose M; Royo, Conxita; Dreisigacker, Susanne; Ammar, Karim; Villegas, Dolors; 13 Lysine acetylproteome profiling under water deficit reveals key acetylated proteins involved in wheat grain development and starch biosynthesis. J Proteomics. 2018 Jul 9. pii: S1874-3919(18)30263-X. doi: 10.1016/j.jprot.2018.06.019. PMID:30003963 Author : Zhu, Geng-Rui; Yan, Xing; Zhu, Dong; Deng, Xiong; Wu, Ji-Su; Xia, Jian; Yan, Yue-Ming; 14 Genetic analysis of water loss of excised leaves associated with drought tolerance in wheat. PeerJ. 2018 Jul 6;6:e5063. doi: 10.7717/peerj.5063. eCollection 2018. PMID:30002956 Author : Czyczylo-Mysza, Ilona Mieczyslawa; Marcinska, Izabela; Skrzypek, Edyta; Bocianowski, Jan; Dziurka, Kinga; Rancic, Dragana; Radosevic, Radenko; Pekic-Quarrie, Sofija; Dodig, Dejan; Quarrie, Stephen Alexander; 15 Potential of Wheat Straw, Spruce Sawdust, and Lignin as High Organic Carbon Soil Amendments to Improve Agricultural Nitrogen Retention Capacity: An Incubation Study. Front Plant Sci. 2018 Jun 28;9:900. doi: 10.3389/fpls.2018.00900. eCollection 2018. PMID:30002668 Author : Reichel, Rudiger; Wei, Jing; Islam, Muhammad S; Schmid, Christoph; Wissel, Holger; Schroder, Peter; Schloter, Michael; Bruggemann, Nicolas; 16 Mechanisms and Signaling Associated with LPDBD Plasma Mediated Growth Improvement in Wheat. Sci Rep. 2018 Jul 12;8(1):10498. doi: 10.1038/s41598-018-28960-3. PMID:30002439 Author : Rahman, Md Mosiur; Sajib, Salek Ahmed; Rahi, Md Sifat; Tahura, Sharaban; Roy, Nepal Chandra; Parvez, Sarwar; Reza, Md Abu; Talukder, Mamunur Rashid; Kabir, Ahmad Humayan; \0 \0
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2018ÄêµÚ25ÖÜСÂóÎÄÏ×»ã×Ü£¨6.24£© 1 Rht8 gene as an alternate dwarfing gene in elite Indian spring wheat cultivars. PLoS One. 2018 Jun 21;13(6):e0199330. doi: 10.1371/journal.pone.0199330. eCollection 2018. PMID:29927977 Author : Grover, Gomti; Sharma, Achla; Gill, Harsimar S; Srivastava, Puja; Bains, N S; 2 Promoter of the TmHKT1;4-A1 gene of Triticum monococcum directs stress inducible, developmental regulated and organ specific gene expression in transgenic Arbidopsis thaliana. World J Microbiol Biotechnol. 2018 Jun 20;34(7):99. doi: 10.1007/s11274-018-2485-9. PMID:29926196 Author : Tounsi, Sana; Feki, Kaouthar; Saidi, Mohamed Najib; Maghrebi, Sahar; Brini, Faical; Masmoudi, Khaled; 3 Phosphorus Acquisition Efficiency Related to Root Traits: Is Mycorrhizal Symbiosis a Key Factor to Wheat and Barley Cropping? Front Plant Sci. 2018 Jun 5;9:752. doi: 10.3389/fpls.2018.00752. eCollection 2018. PMID:29922321 Author : Campos, Pedro; Borie, Fernando; Cornejo, Pablo; Lopez-Raez, Juan A; Lopez-Garcia, Alvaro; Seguel, Alex; 4 Global QTL Analysis Identifies Genomic Regions on Chromosomes 4A and 4B Harboring Stable Loci for Yield-Related Traits Across Different Environments in Wheat (Triticum aestivum L.). Front Plant Sci. 2018 Apr 25;9:529. doi: 10.3389/fpls.2018.00529. eCollection 2018. PMID:29922302 Author : Guan, Panfeng; Lu, Lahu; Jia, Lijia; Kabir, Muhammad Rezaul; Zhang, Jinbo; Lan, Tianyu; Zhao, Yue; Xin, Mingming; Hu, Zhaorong; Yao, Yingyin; Ni, Zhongfu; Sun, Qixin; Peng, Huiru; 5 Annotation and profiling of barley GLYCOGEN SYNTHASE3/Shaggy-like genes indicated shift in organ-preferential expression. PLoS One. 2018 Jun 19;13(6):e0199364. doi: 10.1371/journal.pone.0199364. eCollection 2018. PMID:29920545 Author : Groszyk, Jolanta; Yanushevska, Yuliya; Zielezinski, Andrzej; Nadolska-Orczyk, Anna; Karlowski, Wojciech M; Orczyk, Waclaw; 6 A Sodium Transporter HvHKT1;1 Confers Salt Tolerance in Barley via Regulating Tissue and Cell Ion Homeostasis. Plant Cell Physiol. 2018 Jun 15. pii: 5038889. doi: 10.1093/pcp/pcy116. PMID:29917153 Author : Han, Yong; Yin, Shuya; Huang, Lu; Wu, Xuelong; Zeng, Jianbin; Liu, Xiaohui; Qiu, Long; Munns, Rana; Chen, Zhong-Hua; Zhang, Guoping; 7 Meiotic chromosome stability of a newly formed allohexaploid wheat is facilitated by selection under abiotic stress as a spandrel. New Phytol. 2018 Jun 19. doi: 10.1111/nph.15267. PMID:29916206 Author : Bian, Yao; Yang, Chunwu; Ou, Xiufang; Zhang, Zhibin; Wang, Bin; Ma, Weiwei; Gong, Lei; Zhang, Huakun; Liu, Bao; 8 Detection of CRISPR/Cas9-Induced Genomic Fragment Deletions in Barley and Generation of Homozygous Edited Lines via Embryogenic Pollen Culture. Methods Mol Biol. 2018;1789:9-20. doi: 10.1007/978-1-4939-7856-4_2. PMID:29916068 Author : Kapusi, Eszter; Stoger, Eva; 9 Evidence of cyclical light/dark-regulated expression of freezing tolerance in young winter wheat plants. PLoS One. 2018 Jun 18;13(6):e0198042. doi: 10.1371/journal.pone.0198042. eCollection 2018. PMID:29912979 Author : Skinner, Daniel Z; Bellinger, Brian; Hiscox, William; Helms, Gregory L; 10 Comparative genome-wide mapping versus extreme pool-genotyping and development of diagnostic SNP markers linked to QTL for adult plant resistance to stripe rust in common wheat. Theor Appl Genet. 2018 Jun 16. pii: 10.1007/s00122-018-3113-7. doi: 10.1007/s00122-018-3113-7. PMID:29909527 Author : Wu, Jianhui; Huang, Shuo; Zeng, Qingdong; Liu, Shengjie; Wang, Qilin; Mu, Jingmei; Yu, Shizhou; Han, Dejun; Kang, Zhensheng; 11 Molecular cloning of TaMATE2 homoeologues potentially related to aluminium tolerance in bread wheat (Triticum aestivum L.). Plant Biol (Stuttg). 2018 Jun 15. doi: 10.1111/plb.12864. PMID:29908003 Author : Garcia-Oliveira, Ana Luisa; Benito, Cesar; Guedes-Pinto, Henrique; Martins-Lopes, Paula; 12 Genetic dissection of pre-anthesis sub-phase durations during the reproductive spike development of wheat. Plant J. 2018 Jun 15. doi: 10.1111/tpj.13998. PMID:29906301 Author : Guo, Zifeng; Chen, Dijun; Roeder, Marion; Ganal, Martin; Schnurbusch, Thorsten; 13 Differential response of wheat cultivars to Pseudomonas brassicacearum and take-all decline soil. Phytopathology. 2018 Jun 15. doi: 10.1094/PHYTO-01-18-0024-R. PMID:29905506 Author : Yang, Mingming; Mavrodi, Dmitri; Thomashow, Linda S; Weller, David M; 14 Drought Tolerance during Reproductive Development is Important for Increasing wheat yield Potential under Climate change in Europe. J Exp Bot. 2018 Jun 12. pii: 5036557. doi: 10.1093/jxb/ery226. PMID:29901813 Author : Senapati, Nimai; Stratonovitch, Pierre; Paul, Matthew J; Semenov, Mikhail A; 14 Overexpression of TaCML20, a calmodulin-like gene, enhances water soluble carbohydrate accumulation and yield in wheat. Physiol Plant. 2018 Jun 14. doi: 10.1111/ppl.12786. PMID:29900558 Author : Kalaipandian, Sundaravelpandian; Xue, Gang-Ping; Rae, Anne L; Glassop, Donna; Bonnett, Graham D; McIntyre, Lynne C; ​ \0 \0
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2018ÄêµÚ24ÖÜСÂóÎÄÏ×»ã×Ü£¨6.15£© 1 Rotary tillage in rotation with plowing tillage improves soil properties and crop yield in a wheat-maize cropping system. PLoS One. 2018 Jun 14;13(6):e0198193. doi: 10.1371/journal.pone.0198193. eCollection 2018. PMID:29902193 Author : Zhang, Li; Wang, Jing; Fu, Guozhan; Zhao, Yonggan; 2 Drought Tolerance during Reproductive Development is Important for Increasing wheat yield Potential under Climate change in Europe. J Exp Bot. 2018 Jun 12. pii: 5036557. doi: 10.1093/jxb/ery226. PMID:29901813 Author : Senapati, Nimai; Stratonovitch, Pierre; Paul, Matthew J; Semenov, Mikhail A; 3 Overexpression of TaCML20, a calmodulin-like gene, enhances water soluble carbohydrate accumulation and yield in wheat. Physiol Plant. 2018 Jun 14. doi: 10.1111/ppl.12786. PMID:29900558 Author : Kalaipandian, Sundaravelpandian; Xue, Gang-Ping; Rae, Anne L; Glassop, Donna; Bonnett, Graham D; McIntyre, Lynne C; 4 Comparative physiological and metabolomics analysis of wheat (Triticum aestivum L.) following post-anthesis heat stress. PLoS One. 2018 Jun 13;13(6):e0197919. doi: 10.1371/journal.pone.0197919. eCollection 2018. PMID:29897945 Author : Thomason, Kayla; Babar, Md Ali; Erickson, John E; Mulvaney, Michael; Beecher, Chris; MacDonald, Greg; 5 Na+ extrusion from the cytosol and tissue-specific Na+ sequestration in roots confer differential salt stress tolerance between durum and bread wheat. J Exp Bot. 2018 Jun 11. pii: 5035931. doi: 10.1093/jxb/ery194. PMID:29897491 Author : Wu, Honghong; Shabala, Lana; Azzarello, Elisa; Huang, Yuqing; Pandolfi, Camilla; Su, Nana; Wu, Qi; Cai, Shengguan; Bazihizina, Nadia; Wang, Lu; Zhou, Meixue; Mancuso, Stefano; Chen, Zhonghua; Shabala, Sergey; 6 Tapetal-Delayed Programmed Cell Death (PCD) and Oxidative Stress-Induced Male Sterility of Aegilops uniaristata Cytoplasm in Wheat. Int J Mol Sci. 2018 Jun 8;19(6). pii: ijms19061708. doi: 10.3390/ijms19061708. PMID:29890696 Author : Liu, Zihan; Shi, Xiaoyi; Li, Sha; Hu, Gan; Zhang, Lingli; Song, Xiyue; 7 Molecular cytogenetic and morphological characterization of two wheat-barley translocation lines. PLoS One. 2018 Jun 11;13(6):e0198758. doi: 10.1371/journal.pone.0198758. eCollection 2018. PMID:29889875 Author : Ivanizs, Laszlo; Farkas, Andras; Linc, Gabriella; Molnar-Lang, Marta; Molnar, Istvan; 8 Wheat Intercropping Enhances the Resistance of Watermelon to Fusarium Wilt. Front Plant Sci. 2018 May 25;9:696. doi: 10.3389/fpls.2018.00696. eCollection 2018. PMID:29887873 Author : Lv, Huifang; Cao, Haishun; Nawaz, Muhammad A; Sohail, Hamza; Huang, Yuan; Cheng, Fei; Kong, Qiusheng; Bie, Zhilong; 9 Optical Sensing for Evaluating the Severity of Disease Caused by Cladosporium sp. in Barley under Warmer Conditions. Plant Pathol J. 2018 Jun;34(3):236-240. doi: 10.5423/PPJ.NT.11.2017.0247. Epub 2018 Jun 1. PMID:29887779 Author : Oh, Dohyeok; Ryu, Jae-Hyun; Oh, Sehee; Jeong, Hoejeong; Park, Jisung; Jeong, Rae-Dong; Kim, Wonsik; Cho, Jaeil; 10 Identification of nicotianamine synthase genes in Triticum monococcum and their expression under different Fe and Zn concentrations. Gene. 2018 Jun 6. pii: S0378-1119(18)30667-X. doi: 10.1016/j.gene.2018.06.015. PMID:29885462 Author : Du, Xuye; Wang, Huinan; He, Jiefang; Zhu, Bin; Guo, Juan; Hou, Wenqian; Weng, Qingbei; Zhang, Xiaocun; 11 A PSTOL-like gene, TaPSTOL, controls a number of agronomically important traits in wheat. BMC Plant Biol. 2018 Jun 8;18(1):115. doi: 10.1186/s12870-018-1331-4. PMID:29884124 Author : Milner, Matthew J; Howells, Rhian M; Craze, Melanie; Bowden, Sarah; Graham, Neil; Wallington, Emma J; 12 Rational Application of Fertilizer Nitrogen to Soil in Combination With Foliar Zn Spraying Improved Zn Nutritional Quality of Wheat Grains. Front Plant Sci. 2018 May 24;9:677. doi: 10.3389/fpls.2018.00677. eCollection 2018. PMID:29881394 Author : Xia, Haiyong; Xue, Yanfang; Liu, Dunyi; Kong, Weilin; Xue, Yanhui; Tang, Yanyan; Li, Jin; Li, Dong; Mei, Peipei; 13 Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat. Front Plant Sci. 2018 May 23;9:674. doi: 10.3389/fpls.2018.00674. eCollection 2018. PMID:29881393 Author : Tan, Changwei; Du, Ying; Zhou, Jian; Wang, Dunliang; Luo, Ming; Zhang, Yongjian; Guo, Wenshan; 14 A newly formed hexaploid wheat exhibits immediate higher tolerance to nitrogen-deficiency than its parental lines. BMC Plant Biol. 2018 Jun 7;18(1):113. doi: 10.1186/s12870-018-1334-1. PMID:29879900 Author : Yang, Chunwu; Yang, Zongze; Zhao, Long; Sun, Fasheng; Liu, Bao; \0 \0
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2018ÄêµÚ21ÖÜСÂóÎÄÏ×»ã×Ü£¨6.10£© 1 Functional and structural insights into candidate genes associated with nitrogen and phosphorus nutrition in wheat (Triticum aestivum L.). Int J Biol Macromol. 2018 Jun 4. pii: S0141-8130(18)31114-0. doi: 10.1016/j.ijbiomac.2018.06.009. PMID:29879411 Author : Kumar, Anuj; Sharma, Mansi; Kumar, Sanjay; Tyagi, Pankaj; Wani, Shabir Hussain; Gajula, M N V Prasad; Singh, Krishna Pal; 2 Effects of straw return on bacterial communities in a wheat-maize rotation system in the North China Plain. PLoS One. 2018 Jun 7;13(6):e0198087. doi: 10.1371/journal.pone.0198087. eCollection 2018. PMID:29879153 Author : Yu, Dali; Wen, Zhiguo; Li, Xiumei; Song, Xiaojun; Wu, Huijun; Yang, Peilong; 3 Wheat differential gene expression induced by different races of Puccinia triticina. PLoS One. 2018 Jun 7;13(6):e0198350. doi: 10.1371/journal.pone.0198350. eCollection 2018. PMID:29879135 Author : Neugebauer, Kerri A; Bruce, Myron; Todd, Tim; Trick, Harold N; Fellers, John P; 4 Proximal Phenotyping and Machine Learning Methods to Identify Septoria Tritici Blotch Disease Symptoms in Wheat. Front Plant Sci. 2018 May 23;9:685. doi: 10.3389/fpls.2018.00685. eCollection 2018. PMID:29875788 Author : Odilbekov, Firuz; Armoniene, Rita; Henriksson, Tina; Chawade, Aakash; 5 Gene Duplication and Evolution Dynamics in the Homeologous Regions Harboring Multiple Prolamin and Resistance Gene Families in Hexaploid Wheat. Front Plant Sci. 2018 May 23;9:673. doi: 10.3389/fpls.2018.00673. eCollection 2018. PMID:29875781 Author : Huo, Naxin; Zhang, Shengli; Zhu, Tingting; Dong, Lingli; Wang, Yi; Mohr, Toni; Hu, Tiezhu; Liu, Zhiyong; Dvorak, Jan; Luo, Ming-Cheng; Wang, Daowen; Lee, Jong-Yeol; Altenbach, Susan; Gu, Yong Q; 6 Development of a wheat-Aegilops searsii substitution line with positively affecting Chinese steamed bread quality. Breed Sci. 2018 Mar;68(2):289-293. doi: 10.1270/jsbbs.17044. Epub 2018 Apr 12. PMID:29875614 Author : Du, Xuye; Ma, Xin; Min, Jingzhi; Zhang, Xiaocun; Jia, Zhenzhen; 7 Wheat Gene TaATG8j Contributes to Stripe Rust Resistance. Int J Mol Sci. 2018 Jun 5;19(6). pii: ijms19061666. doi: 10.3390/ijms19061666. PMID:29874811 Author : Mamun, Md Abdullah-Al; Tang, Chunlei; Sun, Yingchao; Islam, Md Nazrul; Liu, Peng; Wang, Xiaojie; Kang, Zhensheng; 8 Ammonium N influences the uptakes, translocations, subcellular distributions and chemical forms of Cd and Zn to mediate the Cd/Zn interactions in dwarf polish wheat (Triticum polonicum L.) seedlings. Chemosphere. 2018 Feb;193:1164-1171. doi: 10.1016/j.chemosphere.2017.11.058. Epub 2017 Nov 14. PMID:29874745 Author : Cheng, Yiran; Wang, Chao; Chai, Songyue; Shuai, Wendi; Sha, Lina; Zhang, Haiqin; Kang, Houyang; Fan, Xing; Zeng, Jian; Zhou, Yonghong; Wang, Yi; 9 Single nucleotide polymorphisms in a regulatory site of VRN-A1 first intron are associated with differences in vernalization requirement in winter wheat. Mol Genet Genomics. 2018 Jun 5. pii: 10.1007/s00438-018-1455-0. doi: 10.1007/s00438-018-1455-0. PMID:29872926 Author : Kippes, Nestor; Guedira, Mohammed; Lin, Lijuan; Alvarez, Maria A; Brown-Guedira, Gina L; Dubcovsky, Jorge; 10 Root Engineering in Barley: Increasing Cytokinin Degradation Produces a Larger Root System, Mineral Enrichment in the Shoot and Improved Drought Tolerance. Plant Physiol. 2018 Jun 5. pii: pp.18.00199. doi: 10.1104/pp.18.00199. PMID:29871980 Author : Ramireddy, Eswarrayya; Hosseini, Seyed A; Eggert, Kai; Gillandt, Sabine; Gnad, Heike; von Wiren, Nicolaus; Schmulling, Thomas; 11 Molecular mapping of QTL for Fusarium head blight resistance introgressed into durum wheat. Theor Appl Genet. 2018 Jun 4. pii: 10.1007/s00122-018-3124-4. doi: 10.1007/s00122-018-3124-4. PMID:29869075 Author : Zhao, Mingxia; Leng, Yueqiang; Chao, Shiaoman; Xu, Steven S; Zhong, Shaobin; 12 Differential response of hexaploid and tetraploid wheat to interactive effects of elevated and low phosphorus. Plant Cell Rep. 2018 Jun 4. pii: 10.1007/s00299-018-2307-4. doi: 10.1007/s00299-018-2307-4. PMID:29868985 Author : Pandey, Renu; Lal, Milan Kumar; Vengavasi, Krishnapriya; 13 Agronomical, biochemical and histological response of resistant and susceptible wheat and barley under BYDV stress. PeerJ. 2018 May 28;6:e4833. doi: 10.7717/peerj.4833. eCollection 2018. PMID:29868264 Author : Choudhury, Shormin; Hu, Hongliang; Larkin, Philip; Meinke, Holger; Shabala, Sergey; Ahmed, Ibrahim; Zhou, Meixue; 14 Natural Variation in Elicitation of Defense-Signaling Associates to Field Resistance Against the Spot Blotch Disease in Bread Wheat (Triticum aestivum L.). Front Plant Sci. 2018 May 16;9:636. doi: 10.3389/fpls.2018.00636. eCollection 2018. PMID:29868089 Author : Sharma, Sandeep; Sahu, Ranabir; Navathe, Sudhir; Mishra, Vinod K; Chand, Ramesh; Singh, Pawan K; Joshi, Arun K; Pandey, Shree P; 15 Leveraging the Use of Historical Data Gathered During Seed Regeneration of an ex Situ Genebank Collection of Wheat. Front Plant Sci. 2018 May 8;9:609. doi: 10.3389/fpls.2018.00609. eCollection 2018. PMID:29868066 Author : Philipp, Norman; Weise, Stephan; Oppermann, Markus; Borner, Andreas; Graner, Andreas; Keilwagen, Jens; Kilian, Benjamin; Zhao, Yusheng; Reif, Jochen C; Schulthess, Albert W; 16 Absorption and Bio-Transformation of Selenium Nanoparticles by Wheat Seedlings (Triticum aestivum L.). Front Plant Sci. 2018 May 14;9:597. doi: 10.3389/fpls.2018.00597. eCollection 2018. PMID:29868060 Author : Hu, Ting; Li, Huafen; Li, Jixiang; Zhao, Guishen; Wu, Wenliang; Liu, Liping; Wang, Qi; Guo, Yanbin; 17 Shoot iron status and auxin are involved in iron deficiency-induced phytosiderophores release in wheat. BMC Plant Biol. 2018 Jun 4;18(1):105. doi: 10.1186/s12870-018-1324-3. PMID:29866051 Author : Garnica, Maria; Bacaicoa, Eva; Mora, Veronica; San Francisco, Sara; Baigorri, Roberto; Zamarreno, Angel Mari; Garcia-Mina, Jose Maria; 18 Bayesian inference for the genetic control of water deficit tolerance in spring wheat by stochastic search variable selection. Environ Sci Pollut Res Int. 2018 Jun 2. pii: 10.1007/s11356-018-2409-0. doi: 10.1007/s11356-018-2409-0. PMID:29860694 Author : Safari, Parviz; Danyali, Syyedeh Fatemeh; Rahimi, Mehdi; 19 QTL mapping of pre-harvest sprouting resistance in a white wheat cultivar Danby. Theor Appl Genet. 2018 Jun 2. pii: 10.1007/s00122-018-3107-5. doi: 10.1007/s00122-018-3107-5. PMID:29860625 Author : Shao, Mingqin; Bai, Guihua; Rife, Trevor W; Poland, Jesse; Lin, Meng; Liu, Shubing; Chen, Hui; Kumssa, Tadele; Fritz, Allan; Trick, Harold; Li, Yan; Zhang, Guorong; 20 When less can be better: How can we make genomic selection more cost-effective and accurate in barley? Theor Appl Genet. 2018 Jun 1. pii: 10.1007/s00122-018-3120-8. doi: 10.1007/s00122-018-3120-8. PMID:29858950 Author : Abed, Amina; Perez-Rodriguez, Paulino; Crossa, Jose; Belzile, Francois; 21 Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers. Theor Appl Genet. 2018 Jun 1. pii: 10.1007/s00122-018-3122-6. doi: 10.1007/s00122-018-3122-6. PMID:29858949 Author : Li, Faji; Wen, Weie; He, Zhonghu; Liu, Jindong; Jin, Hui; Cao, Shuanghe; Geng, Hongwei; Yan, Jun; Zhang, Pingzhi; Wan, Yingxiu; Xia, Xianchun; 22 Development and characterization of a complete set of Triticum aestivum-Roegneria ciliaris disomic addition lines. Theor Appl Genet. 2018 May 31. pii: 10.1007/s00122-018-3114-6. doi: 10.1007/s00122-018-3114-6. PMID:29855671 Author : Kong, Lingna; Song, Xinying; Xiao, Jin; Sun, Haojie; Dai, Keli; Lan, Caixia; Singh, Pawan; Yuan, Chunxia; Zhang, Shouzhong; Singh, Ravi; Wang, Haiyan; Wang, Xiue; wheatomics2 geizan
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2018ÄêµÚ20ÖÜСÂóÎÄÏ×»ã×Ü£¨6.3£© 1 Molecular cloning and characterization of novel WIN1/SHN1 ethylene responsive transcription factor HvSHN1 in barley (Hordeum vulgare L.). J Plant Physiol. 2018 May 28;228:39-46. doi: 10.1016/j.jplph.2018.04.019. PMID:29852333 Author : Djemal, Rania; Mila, Isabelle; Bouzayen, Mondher; Pirrello, Julien; Khoudi, Habib; 2 Impact of fungicides and weather on cyclodepsipeptide-producing Fusarium spp. and beauvericin and enniatin levels in wheat grains. J Sci Food Agric. 2018 May 31. doi: 10.1002/jsfa.9167. PMID:29851099 Author : Decleer, Marlies; Landschoot, Sofie; De Saeger, Sarah; Rajkovic, Andrea; Audenaert, Kris; 3 Contrasting nutrient-disease relationships: Potassium gradients in barley leaves have opposite effects on two fungal pathogens with different sensitivities to jasmonic acid. Plant Cell Environ. 2018 May 31. doi: 10.1111/pce.13350. PMID:29851096 Author : Davis, Jayne L; Armengaud, Patrick; Larson, Tony R; Graham, Ian A; White, Philip J; Newton, Adrian C; Amtmann, Anna; 4 Meiosis leads to pervasive copy-number variation and distorted inheritance of accessory chromosomes of the wheat pathogen Zymoseptoria tritici. Genome Biol Evol. 2018 May 29. pii: 5020729. doi: 10.1093/gbe/evy100. PMID:29850789 Author : Fouche, Simone; Plissonneau, Clemence; McDonald, Bruce A; Croll, Daniel; 5 Night-time transpiration in barley (Hordeum vulgare) facilitates respiratory carbon dioxide release and is regulated during salt stress. Ann Bot. 2018 May 30. pii: 5025117. doi: 10.1093/aob/mcy084. PMID:29850772 Author : Even, Margaux; Sabo, Marine; Meng, Delong; Kreszies, Tino; Schreiber, Lukas; Fricke, Wieland; 6 Barley Stripe Mosaic Virus gammab Protein Subverts Autophagy to Promote Viral Infection by Disrupting the ATG7-ATG8 Interaction. Plant Cell. 2018 May 30. pii: tpc.18.00122. doi: 10.1105/tpc.18.00122. PMID:29848767 Author : Yang, Meng; Zhang, Yongliang; Xie, Xialin; Yue, Ning; Li, Jinlin; Wang, Xian-Bing; Han, Cheng-Gui; Yu, Jia-Lin; Liu, Yule; Li, Dawei; 7 Identification of stem rust resistance genes in wheat cultivars in China using molecular markers. PeerJ. 2018 May 24;6:e4882. doi: 10.7717/peerj.4882. eCollection 2018. PMID:29844997 Author : Xu, Xiaofeng; Yuan, Depeng; Li, Dandan; Gao, Yue; Wang, Ziyuan; Liu, Yang; Wang, Siting; Xuan, Yuanhu; Zhao, Hui; Li, Tianya; Wu, Yuanhua; 8 Association genetics studies on frost tolerance in wheat (Triticum aestivum L.) reveal new highly conserved amino acid substitutions in CBF-A3, CBF-A15, VRN3 and PPD1 genes. BMC Genomics. 2018 May 29;19(1):409. doi: 10.1186/s12864-018-4795-6. PMID:29843596 Author : Babben, Steve; Schliephake, Edgar; Janitza, Philipp; Berner, Thomas; Keilwagen, Jens; Koch, Michael; Arana-Ceballos, Fernando Alberto; Templer, Sven Eduard; Chesnokov, Yuriy; Pshenichnikova, Tatyana; Schondelmaier, Jorg; Borner, Andreas; Pillen, Klaus; Ordon, Frank; Perovic, Dragan; 9 Candidate Genes for Yellow Leaf Color in Common Wheat (Triticum aestivum L.) and Major Related Metabolic Pathways according to Transcriptome Profiling. Int J Mol Sci. 2018 May 29;19(6). pii: ijms19061594. doi: 10.3390/ijms19061594. PMID:29843474 Author : Wu, Huiyu; Shi, Narong; An, Xuyao; Liu, Cong; Fu, Hongfei; Cao, Li; Feng, Yi; Sun, Daojie; Zhang, Lingli; 10 Comparative analysis of root transcriptome profiles between drought-tolerant and susceptible wheat genotypes in response to water stress. Plant Sci. 2018 Jul;272:276-293. doi: 10.1016/j.plantsci.2018.03.036. Epub 2018 May 1. PMID:29807601 Author : Hu, Ling; Xie, Yan; Fan, Shoujin; Wang, Zongshuai; Wang, Fahong; Zhang, Bin; Li, Haosheng; Song, Jie; Kong, Lingan; 11 Expanded base editing in rice and wheat using a Cas9-adenosine deaminase fusion. Genome Biol. 2018 May 29;19(1):59. doi: 10.1186/s13059-018-1443-z. PMID:29807545 Author : Li, Chao; Zong, Yuan; Wang, Yanpeng; Jin, Shuai; Zhang, Dingbo; Song, Qianna; Zhang, Rui; Gao, Caixia; 12 Effect of straw mulch and seeding rate on the harvest index, yield and water use efficiency of winter wheat. Sci Rep. 2018 May 25;8(1):8167. doi: 10.1038/s41598-018-26615-x. PMID:29802373 Author : Hu, Changlu; Zheng, Cheng; Sadras, Victor O; Ding, Mao; Yang, Xueyun; Zhang, Shulan; 13 Suppression of wheat Fusarium head blight by novel amphiphilic aminoglycoside fungicide K20. Fungal Biol. 2018 Jun;122(6):465-470. doi: 10.1016/j.funbio.2017.12.001. Epub 2017 Dec 8. PMID:29801790 Author : Takemoto, Jon Y; Wegulo, Stephen N; Yuen, Gary Y; Stevens, Julie A; Jochum, Charlene C; Chang, Cheng-Wei T; Kawasaki, Yukie; Miller, Gene W; 14 Wheat CBL-interacting protein kinase 23 positively regulates drought stress and ABA responses. BMC Plant Biol. 2018 May 25;18(1):93. doi: 10.1186/s12870-018-1306-5. PMID:29801463 Author : Cui, Xiao-Yu; Du, Yong-Tao; Fu, Jin-Dong; Yu, Tai-Fei; Wang, Chang-Tao; Chen, Ming; Chen, Jun; Ma, You-Zhi; Xu, Zhao-Shi; 15 Combination of all-stage and high-temperature adult-plant resistance QTL confers high-level, durable resistance to stripe rust in winter wheat cultivar Madsen. Theor Appl Genet. 2018 May 24. pii: 10.1007/s00122-018-3116-4. doi: 10.1007/s00122-018-3116-4. PMID:29797034 Author : Liu, L; Wang, M N; Feng, J Y; See, D R; Chao, S M; Chen, X M; 16 A return to the genetic heritage of durum wheat to cope with drought heightened by climate change. PLoS One. 2018 May 24;13(5):e0196873. doi: 10.1371/journal.pone.0196873. eCollection 2018. PMID:29795584 Author : Slama, Amor; Mallek-Maalej, Elhem; Ben Mohamed, Hatem; Rhim, Thouraya; Radhouane, Leila;
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2018ÄêµÚ17ÖÜСÂóÎÄÏ×»ã×Ü(5.13) ±¾ÖÜ×î´óµÄ¾ªÏ²µ±ÊôÎÚÀ­¶ûͼСÂó»ùÒò×éÎÄÕµķ¢±í¡£Ä¿Ç°ÍøÕ¾ÉÏ£¨ http://202.194.139.32/blast/viroblast.php £©ÒѾ­¿ÉÒÔÔÚÏßblastÀ²£¬Ò²¿ÉÒÔµ÷È¡Ö¸¶¨È¾É«ÌåÇø¼äÄڵĻùÒò£¨ http://202.194.139.32/jbrowse/?data=Triticum_urartu £©£¬¸ü¶àСϸ½ÚµÈÄãÀ´·¢ÏÖ ¡£ 1 Characterization of Novel Heat-Responsive Transcription Factor (TaHSFA6e) Gene Involved in Regulation of Heat Shock Proteins (HSPs) - A Key Member of Heat Stress-Tolerance Network of Wheat. J Biotechnol. 2018 May 7. pii: S0168-1656(18)30151-2. doi: 10.1016/j.jbiotec.2018.05.008. PMID:29746879 Author : Kumar, Ranjeet R; Goswami, Suneha; Singh, Khushboo; Dubey, Kavita; Rai, Gyanendra K; Singh, Bhupinder; Singh, Shivdhar; Grover, Monendra; Mishra, Dwijesh; Kumar, Sanjeev; Bakshi, Suman; Rai, Anil; Pathak, Himanshu; Chinnusamy, Viswanathan; Praveen, Shelly; 2 Characterization and mapping of leaf rust resistance in four durum wheat cultivars. PLoS One. 2018 May 10;13(5):e0197317. doi: 10.1371/journal.pone.0197317. eCollection 2018. PMID:29746580 Author : Kthiri, Dhouha; Loladze, Alexander; MacLachlan, P R; N'Diaye, Amidou; Walkowiak, Sean; Nilsen, Kirby; Dreisigacker, Susanne; Ammar, Karim; Pozniak, Curtis J; 3 Genes for seed longevity in barley identified by genomic analysis on Near Isogenic Lines. Plant Cell Environ. 2018 May 9. doi: 10.1111/pce.13330. PMID:29744896 Author : Wozny, Dorothee; Kramer, Katharina; Finkemeier, Iris; Acosta, Ivan F; Koornneef, Maarten; 4 Characterization of recombinant dihydrodipicolinate synthase from the bread wheat Triticum aestivum. Planta. 2018 May 9. pii: 10.1007/s00425-018-2894-x. doi: 10.1007/s00425-018-2894-x. PMID:29744651 Author : Gupta, Ruchi; Hogan, Campbell J; Perugini, Matthew A; Soares da Costa, Tatiana P; 5 Inhibition of Intestinal Cellular Glucose Uptake by Phenolics Extracted from Whole Wheat Grown at Different Locations. J Nutr Metab. 2018 Mar 18;2018:5421714. doi: 10.1155/2018/5421714. eCollection 2018. PMID:29744225 Author : Shamloo, Maryam; Jones, Peter J H; Eck, Peter K; 6 Molecular cytogenetic identification of three rust-resistant wheat-Thinopyrum ponticum partial amphiploids. Mol Cytogenet. 2018 May 2;11:27. doi: 10.1186/s13039-018-0378-0. eCollection 2018. PMID:29743956 Author : Pei, Yanru; Cui, Yu; Zhang, Yanping; Wang, Honggang; Bao, Yinguang; Li, Xingfeng; 7 Maternal effects of the English grain aphids feeding on the wheat varieties with different resistance traits. Sci Rep. 2018 May 9;8(1):7344. doi: 10.1038/s41598-018-25136-x. PMID:29743686 Author : Hu, Xiang-Shun; Zhang, Zhan-Feng; Zhu, Tong-Yi; Song, Yue; Wu, Li-Juan; Liu, Xiao-Feng; Zhao, Hui-Yan; Liu, Tong-Xian; 8 Genome sequence of the progenitor of wheat A subgenome Triticum urartu. Nature. 2018 May 9. pii: 10.1038/s41586-018-0108-0. doi: 10.1038/s41586-018-0108-0. PMID:29743678 Author : Ling, Hong-Qing; Ma, Bin; Shi, Xiaoli; Liu, Hui; Dong, Lingli; Sun, Hua; Cao, Yinghao; Gao, Qiang; Zheng, Shusong; Li, Ye; Yu, Ying; Du, Huilong; Qi, Ming; Li, Yan; Lu, Hongwei; Yu, Hua; Cui, Yan; Wang, Ning; Chen, Chunlin; Wu, Huilan; Zhao, Yan; Zhang, Juncheng; Li, Yiwen; Zhou, Wenjuan; Zhang, Bairu; Hu, Weijuan; van Eijk, Michiel J T; Tang, Jifeng; Witsenboer, Hanneke M A; Zhao, Shancen; Li, Zhensheng; Zhang, Aimin; Wang, Daowen; Liang, Chengzhi; 9 Evaluation of different gridded rainfall datasets for rainfed wheat yield prediction in an arid environment. Int J Biometeorol. 2018 May 8. pii: 10.1007/s00484-018-1555-x. doi: 10.1007/s00484-018-1555-x. PMID:29740702 Author : Lashkari, A; Salehnia, N; Asadi, S; Paymard, P; Zare, H; Bannayan, M; 10 Wheat F-Box Protein Gene TaFBA1 Is Involved in Plant Tolerance to Heat Stress. Front Plant Sci. 2018 Apr 24;9:521. doi: 10.3389/fpls.2018.00521. eCollection 2018. PMID:29740462 Author : Li, Qinxue; Wang, Wenqiang; Wang, Wenlong; Zhang, Guangqiang; Liu, Yang; Wang, Yong; Wang, Wei; 11 Genome Wide Association Mapping of Seedling and Adult Plant Resistance to Barley Stripe Rust (Puccinia striiformis f. sp. hordei) in India. Front Plant Sci. 2018 Apr 24;9:520. doi: 10.3389/fpls.2018.00520. eCollection 2018. PMID:29740461 Author : Visioni, Andrea; Gyawali, Sanjaya; Selvakumar, Rajan; Gangwar, Om P; Shekhawat, Pradeep S; Bhardwaj, Subhash C; Al-Abdallat, Ayed M; Kehel, Zakaria; Verma, Ramesh P S; 12 Grain number responses to pre-anthesis dry matter and nitrogen in improving wheat yield in the Huang-Huai Plain. Sci Rep. 2018 May 8;8(1):7126. doi: 10.1038/s41598-018-25608-0. PMID:29740083 Author : Duan, Jianzhao; Wu, Yapeng; Zhou, Yi; Ren, Xingxu; Shao, Yunhui; Feng, Wei; Zhu, Yunji; Wang, Yonghua; Guo, Tiancai; 13 Proteomic analysis of the impacts of powdery mildew on wheat grain. Food Chem. 2018 Sep 30;261:30-35. doi: 10.1016/j.foodchem.2018.04.024. Epub 2018 Apr 10. PMID:29739597 Author : Li, Jie; Liu, Xinhao; Yang, Xiwen; Li, Yongchun; Wang, Chenyang; He, Dexian; 14 Transcriptome analysis reveals new microRNAs-mediated pathway involved in anther development in male sterile wheat. BMC Genomics. 2018 May 8;19(1):333. doi: 10.1186/s12864-018-4727-5. PMID:29739311 Author : Sun, Longqing; Sun, Genlou; Shi, Chenxia; Sun, Dongfa; 15 Evaluation and selection of internal reference genes from two- and six-row U.S. malting barley varieties throughout micromalting for use in RT-qPCR. PLoS One. 2018 May 8;13(5):e0196966. doi: 10.1371/journal.pone.0196966. eCollection 2018. PMID:29738567 Author : Walling, Jason G; Zalapa, Leslie A; Vinje, Marcus A; 16 Identification of chromosomes in Thinopyrum intermedium and wheat-Th. intermedium amphiploids based on multiplex oligonucleotide probes. Genome. 2018 May 8. doi: 10.1139/gen-2018-0019. PMID:29738283 Author : Cui, Yu; Zhang, Yanping; Qi, Juan; Wang, H; Wang, Richard R-C; Bao, Yinguang; Li, Xing-Feng; 17 Plant-mediated RNAi of grain aphid CHS1 gene confers common wheat resistance against aphids. Pest Manag Sci. 2018 May 7. doi: 10.1002/ps.5062. PMID:29737050 Author : Zhao, Yanjie; Sui, Xiaoyan; Xu, Lanjie; Liu, Guoyu; Lu, Lihua; You, Mingshan; Xie, Chaojie; Li, Baoyun; Ni, Zhongfu; Liang, Rongqi; 18 Various Physiological Response to Graphene Oxide and Amine-Functionalized Graphene Oxide in Wheat (Triticum aestivum). Molecules. 2018 May 7;23(5). pii: molecules23051104. doi: 10.3390/molecules23051104. PMID:29735929 Author : Chen, Juanni; Yang, Liang; Li, Shili; Ding, Wei; 19 Rapid seedling establishment and a narrow root stele promotes waterlogging tolerance in spring wheat. J Plant Physiol. 2018 Apr 24. pii: S0176-1617(18)30115-9. doi: 10.1016/j.jplph.2018.04.010. PMID:29735176 Author : Sundgren, Tove Kristina; Uhlen, Anne Kjersti; Lillemo, Morten; Briese, Christoph; Wojciechowski, Tobias; 20 Phenotypic and Physiological Evaluation of Two and Six Rows Barley under Different Environmental Conditions. Plants (Basel). 2018 May 4;7(2). pii: plants7020039. doi: 10.3390/plants7020039. PMID:29734706 Author : Naser, Mahmoud; Badran, Mohamed; Abouzied, Hanaa; Ali, Heba; Elbasyoni, Ibrahim; 21 Zinc-Finger Nuclease (ZFN)-mediated precision genome editing of an endogenous gene in hexaploid bread wheat (Triticum aestivum) using a DNA repair template. Plant Biotechnol J. 2018 May 7. doi: 10.1111/pbi.12941. PMID:29734518 Author : Ran, Yidong; Patron, Nicola; Kay, Pippa; Wong, Debbie; Buchanan, Margaret; Cao, Ying-Ying; Sawbridge, Tim; Davies, John P; Mason, John; Webb, Steven R; Spangenberg, German; Ainley, W Michael; Walsh, Terence A; Hayden, Matthew J;
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Plant Biotechnol J. 2018 May 3. doi: 10.1111/pbi.12937. PMID:29723916 Author : Guo, Zifeng; Liu, Guozheng; Roder, Marion S; Reif, Jochen C; Ganal, Martin W; Schnurbusch, Thorsten; 2 The global regulator of pathogenesis PnCon7 positively regulates Tox3 effector gene expression through direct interaction in the wheat pathogen Parastagonospora nodorum. Mol Microbiol. 2018 May 3. doi: 10.1111/mmi.13968. PMID:29722915 Author : Lin, Shao-Yu; Chooi, Yit-Heng; Solomon, Peter S; 3 Genome-wide detection of genes under positive selection in worldwide populations of the barley scald pathogen. Genome Biol Evol. 2018 May 2. pii: 4990908. doi: 10.1093/gbe/evy087. PMID:29722810 Author : Mohd-Assaad, Norfarhan; McDonald, Bruce A; Croll, Daniel; 4 Molecular Mechanisms of Acclimatization to Phosphorus Starvation and Recovery Underlying Full-Length Transcriptome Profiling in Barley (Hordeum vulgare L.). Front Plant Sci. 2018 Apr 18;9:500. doi: 10.3389/fpls.2018.00500. eCollection 2018. PMID:29720989 Author : Ren, Panrong; Meng, Yaxiong; Li, Baochun; Ma, Xiaole; Si, Erjing; Lai, Yong; Wang, Juncheng; Yao, Lirong; Yang, Ke; Shang, Xunwu; Wang, Huajun; 5 Wheat miRNA TaemiR408 Acts as an Essential Mediator in Plant Tolerance to Pi Deprivation and Salt Stress via Modulating Stress-Associated Physiological Processes. Front Plant Sci. 2018 Apr 18;9:499. doi: 10.3389/fpls.2018.00499. eCollection 2018. PMID:29720988 Author : Bai, Qianqian; Wang, Xiaoying; Chen, Xi; Shi, Guiqing; Liu, Zhipeng; Guo, Chengjin; Xiao, Kai; 6 Low-Molecular-Weightt Polysaccharides From Pyropia yezoensis Enhance Tolerance of Wheat Seedlings (Triticum aestivum L.) to Salt Stress. Front Plant Sci. 2018 Apr 17;9:427. doi: 10.3389/fpls.2018.00427. eCollection 2018. PMID:29719543 Author : Zou, Ping; Lu, Xueli; Jing, Changliang; Yuan, Yuan; Lu, Yi; Zhang, Chengsheng; Meng, Lei; Zhao, Hongtao; Li, Yiqiang; 7 The release of cytochrome c and the regulation of the programmed cell death progress in the endosperm of winter wheat (Triticum aestivum L.) under waterlogging. Protoplasma. 2018 May 2. pii: 10.1007/s00709-018-1256-7. doi: 10.1007/s00709-018-1256-7. PMID:29717349 Author : Qi, Yuan-Hong; Mao, Fang-Fang; Zhou, Zhu-Qing; Liu, Dong-Cheng; Min-Yu; Deng, Xiang-Yi; Li, Ji-Wei; Mei, Fang-Zhu; 8 Zinc use efficiency is enhanced in wheat through nanofertilization. Sci Rep. 2018 May 1;8(1):6832. doi: 10.1038/s41598-018-25247-5. PMID:29717180 Author : Dapkekar, Ashwin; Deshpande, Paresh; Oak, Manoj D; Paknikar, Kishore M; Rajwade, Jyutika M; 9 Genomic adaptation to drought in wild barley is driven by edaphic natural selection at the Tabigha Evolution Slope. Proc Natl Acad Sci U S A. 2018 Apr 30. pii: 1721749115. doi: 10.1073/pnas.1721749115. PMID:29712833 Author : Wang, Xiaolei; Chen, Zhong-Hua; Yang, Chongyi; Zhang, Xuelei; Jin, Gulei; Chen, Guang; Wang, Yuanyuan; Holford, Paul; Nevo, Eviatar; Zhang, Guoping; Dai, Fei; 10 Botanical-chemical formulations enhanced yield and protection against Bipolaris sorokiniana in wheat by inducing the expression of pathogenesis-related proteins. PLoS One. 2018 Apr 30;13(4):e0196194. doi: 10.1371/journal.pone.0196194. eCollection 2018. PMID:29708983 Author : Naz, Rabia; Nosheen, Asia; Yasmin, Humaira; Bano, Asghari; Keyani, Rumana; 11 A population of wheat multiple synthetic derivatives: an effective platform to explore, harness and utilize genetic diversity of Aegilops tauschii for wheat improvement. Theor Appl Genet. 2018 Apr 28. pii: 10.1007/s00122-018-3102-x. doi: 10.1007/s00122-018-3102-x. PMID:29705916 Author : Gorafi, Yasir Serag Alnor; Kim, June-Sik; Elbashir, Awad Ahmed Elawad; Tsujimoto, Hisashi; 12 Effects of nitrogen combined with zinc application on glutamate, glutamine, aspartate and asparagine accumulation in two winter wheat cultivars. Plant Physiol Biochem. 2018 Apr 22;127:485-495. doi: 10.1016/j.plaphy.2018.04.022. PMID:29705569 Author : Nie, Zhaojun; Wang, Jia; Rengel, Zed; Liu, Hongen; Gao, Wei; Zhao, Peng; 13 Effects of ZnSO4 and Zn-EDTA broadcast or banded to soil on Zn bioavailability in wheat (Triticum aestivum L.) and Zn fractions in soil. Chemosphere. 2018 Apr 21;205:350-360. doi: 10.1016/j.chemosphere.2018.04.115. PMID:29704842 Author : Zhao, Aiqing; Yang, Shu; Wang, Bini; Tian, Xiaohong; Zhang, Youlin;
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PMID:29698484 Author : Manjunatha, C; Sharma, Sapna; Kulshreshtha, Deepika; Gupta, Sangeeta; Singh, Kartar; Bhardwaj, Subhash C; Aggarwal, Rashmi; 2 Barley beta-glucan improves metabolic condition via short-chain fatty acids produced by gut microbial fermentation in high fat diet fed mice. PLoS One. 2018 Apr 26;13(4):e0196579. doi: 10.1371/journal.pone.0196579. eCollection 2018. PMID:29698465 Author : Miyamoto, Junki; Watanabe, Keita; Taira, Satsuki; Kasubuchi, Mayu; Li, Xuan; Irie, Junichiro; Itoh, Hiroshi; Kimura, Ikuo; 3 Zinc isotope fractionation during grain filling of wheat and a comparison of zinc and cadmium isotope ratios in identical soil-plant systems. New Phytol. 2018 Apr 26. doi: 10.1111/nph.15146. PMID:29696652 Author : Wiggenhauser, Matthias; Bigalke, Moritz; Imseng, Martin; Keller, Armin; Archer, Corey; Wilcke, Wolfgang; Frossard, Emmanuel; 4 Deciphering adverse effects of heavy metals on diverse wheat germplasm on irrigation with urban wastewater of mixed municipal-industrial origin. Environ Sci Pollut Res Int. 2018 Apr 25. pii: 10.1007/s11356-018-1996-0. doi: 10.1007/s11356-018-1996-0. PMID:29696543 Author : Ali, Zeshan; Mujeeb-Kazi, Abdul; Quraishi, Umar Masood; Malik, Riffat Naseem; 5 Mechanisms, origin and heredity of Glu-1Ay silencing in wheat evolution and domestication. Theor Appl Genet. 2018 Apr 25. pii: 10.1007/s00122-018-3098-2. doi: 10.1007/s00122-018-3098-2. PMID:29696298 Author : Luo, Guangbin; Song, Shuyi; Zhao, Liru; Shen, Lisha; Song, Yanhong; Wang, Xin; Yu, Kang; Liu, Zhiyong; Li, Yiwen; Yang, Wenlong; Li, Xin; Zhan, Kehui; Zhang, Aimin; Liu, Dongcheng; 6 Mapping and characterization of the new adult plant leaf rust resistance gene Lr77 derived from Santa Fe winter wheat. Theor Appl Genet. 2018 Apr 25. pii: 10.1007/s00122-018-3097-3. doi: 10.1007/s00122-018-3097-3. PMID:29696297 Author : Kolmer, James A; Su, Zhenqi; Bernardo, Amy; Bai, Guihua; Chao, Shiaoman; 7 Targeted mutagenesis in wheat microspores using CRISPR/Cas9. Sci Rep. 2018 Apr 25;8(1):6502. doi: 10.1038/s41598-018-24690-8. PMID:29695804 Author : Bhowmik, Pankaj; Ellison, Evan; Polley, Brittany; Bollina, Venkatesh; Kulkarni, Manoj; Ghanbarnia, Kaveh; Song, Halim; Gao, Caixia; Voytas, Daniel F; Kagale, Sateesh; 8 A wheat caffeic acid 3-O-methyltransferase TaCOMT-3D positively contributes to both resistance to sharp eyespot disease and stem mechanical strength. Sci Rep. 2018 Apr 25;8(1):6543. doi: 10.1038/s41598-018-24884-0. PMID:29695751 Author : Wang, Minxia; Zhu, Xiuliang; Wang, Ke; Lu, Chungui; Luo, Meiying; Shan, Tianlei; Zhang, Zengyan; 9 Ridge-furrow with plastic film and straw mulch increases water availability and wheat production on the Loess Plateau. Sci Rep. 2018 Apr 25;8(1):6503. doi: 10.1038/s41598-018-24864-4. PMID:29695748 Author : Liu, Gaoyuan; Zuo, Yuhuan; Zhang, Qi; Yang, Lili; Zhao, Erlong; Liang, Lianyou; Tong, Yan' An; 10 Effect of Drought on Agronomic Traits of Rice and Wheat: A Meta-Analysis. Int J Environ Res Public Health. 2018 Apr 24;15(5). pii: ijerph15050839. doi: 10.3390/ijerph15050839. PMID:29695095 Author : Zhang, Jinmeng; Zhang, Shiqiao; Cheng, Min; Jiang, Hong; Zhang, Xiuying; Peng, Changhui; Lu, Xuehe; Zhang, Minxia; Jin, Jiaxin; 11 Variation in the Microbiome, Trichothecenes, and Aflatoxins in Stored Wheat Grains in Wuhan, China. Toxins (Basel). 2018 Apr 24;10(5). pii: toxins10050171. doi: 10.3390/toxins10050171. PMID:29695035 Author : Yuan, Qing-Song; Yang, Peng; Wu, Ai-Bo; Zuo, Dong-Yun; He, Wei-Jie; Guo, Mao-Wei; Huang, Tao; Li, He-Ping; Liao, Yu-Cai; 12 Fluorescent reporter lines for auxin and cytokinin signalling in barley (Hordeum vulgare). PLoS One. 2018 Apr 25;13(4):e0196086. doi: 10.1371/journal.pone.0196086. eCollection 2018. PMID:29694399 Author : Kirschner, Gwendolyn K; Stahl, Yvonne; Imani, Jafargholi; von Korff, Maria; Simon, Rudiger; 13 iTRAQ-Based Proteomic Analysis of Wheat Bunt Fungi Tilletia controversa, T. caries, and T. foetida. Curr Microbiol. 2018 Apr 24. pii: 10.1007/s00284-018-1490-4. doi: 10.1007/s00284-018-1490-4. PMID:29693196 Author : Li, Chao; Wei, Xiaoqing; Gao, Li; Chen, Wanquan; Liu, Taiguo; Liu, Bo; 14 Comparative Proteome Analysis of Wheat Flag Leaves and Developing Grains Under Water Deficit. Front Plant Sci. 2018 Apr 10;9:425. doi: 10.3389/fpls.2018.00425. eCollection 2018. PMID:29692790 Author : Deng, Xiong; Liu, Yue; Xu, Xuexin; Liu, Dongmiao; Zhu, Genrui; Yan, Xing; Wang, Zhimin; Yan, Yueming; 15 A constraint scaffold enhances affinity of a bivalent N-acetylglucosamine ligand against wheat germ agglutinin. Bioorg Med Chem Lett. 2018 Apr 19. pii: S0960-894X(18)30359-7. doi: 10.1016/j.bmcl.2018.04.047. PMID:29691137 Author : Matsushita, Takahiko; Tsuchibuchi, Koji; Koyama, Tetsuo; Hatano, Ken; Matsuoka, Koji; 16 Trace elements bioavailability to winter wheat (Triticum aestivum L.) grown subsequent to high biomass plants in a greenhouse study. Int J Phytoremediation. 2018 May 12;20(6):574-580. doi: 10.1080/15226514.2017.1405377. PMID:29688048 Author : Neu, Silke; Muller, Ingo; Herzig, Rolf; Dudel, E Gert; 17 Phenazine-1-carboxylic acid and soil moisture influence biofilm development and turnover of rhizobacterial biomass on wheat root surfaces. Environ Microbiol. 2018 Apr 24. doi: 10.1111/1462-2920.14244. PMID:29687554 Author : LeTourneau, Melissa K; Marshall, Matthew J; Cliff, John B; Bonsall, Robert F; Dohnalkova, Alice C; Mavrodi, Dmitri V; Devi, S Indira; Mavrodi, Olga V; Harsh, James B; Weller, David M; Thomashow, Linda S; 18 Feasibility of 3D UV-C treatment to reduce fungal growth and mycotoxin loads on maize and wheat kernels. Mycotoxin Res. 2018 Apr 24. pii: 10.1007/s12550-018-0316-3. doi: 10.1007/s12550-018-0316-3. PMID:29687318 Author : Popovic, Vladimir; Fairbanks, Nicholas; Pierscianowski, Jacob; Biancaniello, Michael; Zhou, Ting; Koutchma, Tatiana; 19 Glycoside hydrolase gene transcription by Alicyclobacillus acidocaldarius during growth on wheat arabinoxylan and monosaccharides: a proposed xylan hydrolysis mechanism. Biotechnol Biofuels. 2018 Apr 16;11:110. doi: 10.1186/s13068-018-1110-3. eCollection 2018. PMID:29686728 Author : Lee, Brady D; Apel, William A; Sheridan, Peter P; DeVeaux, Linda C; 20 TaAAP6-3B, a regulator of grain protein content selected during wheat improvement. BMC Plant Biol. 2018 Apr 23;18(1):71. doi: 10.1186/s12870-018-1280-y. PMID:29685104 Author : Jin, Xiufeng; Feng, Bo; Xu, Zhibin; Fan, Xiaoli; Liu, Jing; Liu, Qin; Zhu, Ping; Wang, Tao; 21 Comparative genomics of the wheat fungal pathogen Pyrenophora tritici-repentis reveals chromosomal variations and genome plasticity. BMC Genomics. 2018 Apr 23;19(1):279. doi: 10.1186/s12864-018-4680-3. PMID:29685100 Author : Moolhuijzen, Paula; See, Pao Theen; Hane, James K; Shi, Gongjun; Liu, Zhaohui; Oliver, Richard P; Moffat, Caroline S; 22 Plant-affecting streptomycin-sensitive micro-organisms in barley monoculture soils. New Phytol. 1996 Jun;133(2):245-252. doi: 10.1111/j.1469-8137.1996.tb01891.x. PMID:29681063 Author : Olsson, Stig; Alstrom, Sadhna; 23 Differential responses of two Egyptian barley (Hordeum vulgare L.) cultivars to salt stress. Plant Physiol Biochem. 2018 Apr 12;127:425-435. doi: 10.1016/j.plaphy.2018.04.012. PMID:29684827 Author : Elsawy, Hayam I A; Mekawy, Ahmad Mohammad M; Elhity, Mahmoud A; Abdel-Dayem, Sherif M; Abdelaziz, Maha Nagy; Assaha, Dekoum V M; Ueda, Akihiro; Saneoka, Hirofumi; 24 Dehydration Stress Contributes to the Enhancement of Plant Defense Response and Mite Performance on Barley. Front Plant Sci. 2018 Apr 6;9:458. doi: 10.3389/fpls.2018.00458. eCollection 2018. PMID:29681917 Author : Santamaria, M E; Diaz, Isabel; Martinez, Manuel; 25 Rapid Generation of Barley Mutant Lines With High Nitrogen Uptake Efficiency by Microspore Mutagenesis and Field Screening. Front Plant Sci. 2018 Apr 6;9:450. doi: 10.3389/fpls.2018.00450. eCollection 2018. PMID:29681915 Author : Gao, Runhong; Guo, Guimei; Fang, Chunyan; Huang, Saihua; Chen, Jianmin; Lu, Ruiju; Huang, Jianhua; Fan, Xiaorong; Liu, Chenghong; 26 Water Stress Scatters Nitrogen Dilution Curves in Wheat. Front Plant Sci. 2018 Apr 6;9:406. doi: 10.3389/fpls.2018.00406. eCollection 2018. PMID:29681908 Author : Hoogmoed, Marianne; Sadras, Victor O; 27 High-mass-resolution MALDI mass spectrometry imaging reveals detailed spatial distribution of metabolites and lipids in roots of barley seedlings in response to salinity stress. Metabolomics. 2018;14(5):63. doi: 10.1007/s11306-018-1359-3. Epub 2018 Apr 19. PMID:29681790 Author : Sarabia, Lenin D; Boughton, Berin A; Rupasinghe, Thusitha; van de Meene, Allison M L; Callahan, Damien L; Hill, Camilla B; Roessner, Ute; 28 Identification and characterisation of a previously unknown drought tolerance-associated microRNA in barley. Plant J. 2018 Apr 22. doi: 10.1111/tpj.13938. PMID:29681080 Author : Zhou, Hui; Hussain, Syed Sarfraz; Hackenberg, Michael; Bazanova, Natalia; Eini, Omid; Li, Jie; Gustafson, Perry; Shi, Bujun; 29 Characteristics and nutritional value of whole wheat cracker fortified with tuna bone bio-calcium powder. Food Chem. 2018 Sep 1;259:181-187. doi: 10.1016/j.foodchem.2018.03.124. Epub 2018 Mar 27. PMID:29680042 Author : Benjakul, Soottawat; Karnjanapratum, Supatra; 30 Improving the physicochemical properties of whole wheat model dough by modifying the water-unextractable solids. Food Chem. 2018 Sep 1;259:18-24. doi: 10.1016/j.foodchem.2018.03.093. Epub 2018 Mar 21. PMID:29680041 Author : Jiang, Zhijian; Liu, Liya; Yang, Wei; Ding, Lan; Awais, Muhammad; Wang, Li; Zhou, Sumei; 31 Long-term Survival and Thermal Death Kinetics of Enterohemorrhagic Escherichia coli Serogroups O26, O103, O111 and O157 in Wheat Flour. Appl Environ Microbiol. 2018 Apr 20. pii: AEM.00283-18. doi: 10.1128/AEM.00283-18. PMID:29678913 Author : Forghani, Fereidoun; den Bakker, Meghan; Futral, Alexandra N; Diez-Gonzalez, Francisco; 32 Mapping of Leaf Rust Resistance Genes and Molecular Characterization of the 2NS/2AS Translocation in the Wheat Cultivar Jagger. G3 (Bethesda). 2018 Apr 19. pii: g3.118.200058. doi: 10.1534/g3.118.200058. PMID:29674436 Author : Xue, Shulin; Kolmer, James A; Wang, Shuwen; Yan, Liuling; 33 Genome-wide analysis of family-1 UDP glycosyltransferases (UGT) and identification of UGT genes for FHB resistance in wheat (Triticum aestivum L.). BMC Plant Biol. 2018 Apr 19;18(1):67. doi: 10.1186/s12870-018-1286-5. PMID:29673318 Author : He, Yi; Ahmad, Dawood; Zhang, Xu; Zhang, Yu; Wu, Lei; Jiang, Peng; Ma, Hongxiang; \0 \0
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2018ÄêµÚ16ÖÜСÂóÎÄÏ×ÍƼö£¨4.22£© 1 Temperature-dependent metabolic adaptation of Triticum aestivum seedlings to anoxia. Sci Rep. 2018 Apr 18;8(1):6151. doi: 10.1038/s41598-018-24419-7. PMID:29670175 Author : Huang, Shaobai; Shingaki-Wells, Rachel N; Petereit, Jakob; Alexova, Ralitza; Millar, A Harvey; 2 Transient Overexpression of HvSERK2 Improves Barley Resistance to Powdery Mildew. Int J Mol Sci. 2018 Apr 18;19(4). pii: ijms19041226. doi: 10.3390/ijms19041226. PMID:29670014 Author : Li, Yingbo; Li, Qingwei; Guo, Guimei; He, Ting; Gao, Runhong; Faheem, Muhammad; Huang, Jianhua; Lu, Ruiju; Liu, Chenghong; 3 Feeding fodder beet (Beta vulgaris L.) with either barley straw or pasture silage to non-lactating dairy cows. N Z Vet J. 2018 Apr 18:1-23. doi: 10.1080/00480169.2018.1465484. PMID:29669474 Author : Waghorn, G C; Collier, K; Bryant, M; Dalley, D; 4 SNP-based pool genotyping and haplotype analysis accelerate fine-mapping of the wheat genomic region containing stripe rust resistance gene Yr26. Theor Appl Genet. 2018 Apr 17. pii: 10.1007/s00122-018-3092-8. doi: 10.1007/s00122-018-3092-8. PMID:29666883 Author : Wu, Jianhui; Zeng, Qingdong; Wang, Qilin; Liu, Shengjie; Yu, Shizhou; Mu, Jingmei; Huang, Shuo; Sela, Hanan; Distelfeld, Assaf; Huang, Lili; Han, Dejun; Kang, Zhensheng; 5 Identification, expression analysis, and molecular modeling of Iron-deficiency-specific clone 3 (Ids3)-like gene in hexaploid wheat. 3 Biotech. 2018 Apr;8(4):219. doi: 10.1007/s13205-018-1230-2. Epub 2018 Apr 13. PMID:29666780 Author : Mathpal, Priyanka; Kumar, Upendra; Kumar, Anuj; Kumar, Sanjay; Malik, Sachin; Kumar, Naveen; Dhaliwal, H S; Kumar, Sundip; 6 Effect of fiber sources on fatty acids profile, glycemic index, and phenolic compound content of in vitro digested fortified wheat bread. J Food Sci Technol. 2018 May;55(5):1632-1640. doi: 10.1007/s13197-018-3061-x. Epub 2018 Mar 28. PMID:29666515 Author : Kurek, Marcin Andrzej; Wyrwisz, Jaroslaw; Karp, Sabina; Wierzbicka, Agnieszka; 7 Characterization of specific DNA markers at VRN-H1 and VRN-H2 loci for growth habit of barley genotypes. J Genet. 2018 Mar;97(1):87-95. PMID:29666328 Author : Taheripourfard, Zahra Sadat; Izadi-Darbandi, Ali; Ghazvini, Habibollah; Ebrahimi, Mohsen; Mortazavian, Seyed Mohammad Mahdi; 8 Examining the effectiveness of consuming flour made from agronomically biofortified wheat (Zincol-2016/NR-421) for improving Zn status in women in a low-resource setting in Pakistan: study protocol for a randomised, double-blind, controlled cross-over trial (BiZiFED). BMJ Open. 2018 Apr 17;8(4):e021364. doi: 10.1136/bmjopen-2017-021364. PMID:29666141 Author : Lowe, Nicola M; Khan, Muhammad Jaffar; Broadley, Martin R; Zia, Munir H; McArdle, Harry J; Joy, Edward J M; Ohly, Heather; Shahzad, Babar; Ullah, Ubaid; Kabana, Gul; Medhi, Rashid; Afridi, Mukhtiar Zaman; 9 The potential distribution of the Russian wheat aphid (Diuraphis noxia): an updated distribution model including irrigation improves model fit for predicting potential spread. Bull Entomol Res. 2018 Apr 18:1-12. doi: 10.1017/S0007485318000226. PMID:29665868 Author : Avila, G A; Davidson, M; van Helden, M; Fagan, L; 10 Measurement of water absorption capacity in wheat flour by a headspace gas chromatographic technique. J Sep Sci. 2018 Apr 17. doi: 10.1002/jssc.201800073. PMID:29665264 Author : Xie, Wei-Qi; Yu, Kong-Xian; Gong, Yi-Xian; 11 The gene conferring susceptibility to spot blotch caused by Cochliobolus sativus is located at the Mla locus in barley cultivar Bowman. Theor Appl Genet. 2018 Apr 16. pii: 10.1007/s00122-018-3095-5. doi: 10.1007/s00122-018-3095-5. PMID:29663053 Author : Leng, Yueqiang; Zhao, Mingxia; Wang, Rui; Steffenson, Brian J; Brueggeman, Robert S; Zhong, Shaobin; 12 Accounting for Genotype-by-Environment Interactions and Residual Genetic Variation in Genomic Selection for Water-Soluble Carbohydrate Concentration in Wheat. G3 (Bethesda). 2018 Apr 16. pii: g3.118.200038. doi: 10.1534/g3.118.200038. PMID:29661842 Author : Ovenden, Ben; Milgate, Andrew; Wade, Len J; Rebetzke, Greg J; Holland, James B; 13 Temperature and Nitrogen Supply Interact to Determine Protein Distribution Gradients in the Wheat Grain Endosperm. J Exp Bot. 2018 Apr 5. pii: 4961347. doi: 10.1093/jxb/ery127. PMID:29660003 Author : Savill, George; Michalski, Adam; Powers, Stephen J; Wan, Yongfang; Tosi, Paola; Buchner, Peter; Hawkesford, Malcolm J; 14 Landscape Context Affects Aphid Parasitism by Lysiphlebus testaceipes (Hymenoptera: Aphidiinae) in Wheat Fields. Environ Entomol. 2018 Apr 12. pii: 4969233. doi: 10.1093/ee/nvy035. PMID:29659769 Author : Elliott, Norman C; Brewer, Michael J; Giles, Kristopher L; 15 Progress in single-access information systems for wheat and rice crop improvement. Brief Bioinform. 2018 Apr 5. pii: 4962226. doi: 10.1093/bib/bby016. PMID:29659709 Author : Scheben, Armin; Chan, Chon-Kit Kenneth; Mansueto, Locedie; Mauleon, Ramil; Larmande, Pierre; Alexandrov, Nickolai; Wing, Rod A; McNally, Kenneth L; Quesneville, Hadi; Edwards, David; 16 Measuring Gene Expression in Bombarded Barley Aleurone Layers with Increased Throughput. J Vis Exp. 2018 Mar 30;(133). doi: 10.3791/56728. PMID:29658925 Author : Uwase, Grace; Enrico, Taylor P; Chelimo, David S; Keyser, Benjamin R; Johnson, Russell R; 17 QTL mapping uncovers a semi-dwarf 1 (sdw1) allele in the barley (Hordeum vulgare) ND23049 line. Genome. 2018 Apr 15. doi: 10.1139/gen-2017-0211. PMID:29658311 Author : Belanger, Sebastien; Paquet-Marceau, Stephanie; Diaz Lago, Juan Enrique; Belzile, Francois; 18 Effect of elevated ozone and varying levels of soil nitrogen in two wheat (Triticum aestivum L.) cultivars: Growth, gas-exchange, antioxidant status, grain yield and quality. Ecotoxicol Environ Saf. 2018 Apr 12;158:59-68. doi: 10.1016/j.ecoenv.2018.04.014. PMID:29656165 Author : Pandey, Ashutosh K; Ghosh, Annesha; Agrawal, Madhoolika; Agrawal, S B; 19 Interactions of green coffee bean phenolics with wheat bread matrix in a model of simulated in vitro digestion. Food Chem. 2018 Aug 30;258:301-307. doi: 10.1016/j.foodchem.2018.03.081. Epub 2018 Mar 20. PMID:29655737 Author : Swieca, Michal; Gawlik-Dziki, Urszula; Seczyk, Lukasz; Dziki, Dariusz; Sikora, Malgorzata; 20 UDP-glucose pyrophosphorylase: Isolation, purification and characterization from developing thermotolerant wheat (Triticum aestivum) grains. Protein Expr Purif. 2018 Apr 12;148:68-77. doi: 10.1016/j.pep.2018.04.007. PMID:29654825 Author : Balan, Deepika; Tokas, Jayanti; Singal, H R; 21 Molecular and Ultrastructural Mechanisms Underlying Yellow Dwarf Symptom Formation in Wheat after Infection of Barley Yellow Dwarf Virus. Int J Mol Sci. 2018 Apr 13;19(4). pii: ijms19041187. doi: 10.3390/ijms19041187. PMID:29652829 Author : Rong, Wei; Wang, Xindong; Wang, Xifeng; Massart, Sebastien; Zhang, Zengyan; 22 Comparative analysis of transcriptome in two wheat genotypes with contrasting levels of drought tolerance. Protoplasma. 2018 Apr 12. pii: 10.1007/s00709-018-1237-x. doi: 10.1007/s00709-018-1237-x. PMID:29651660 Author : Kumar, Jitendra; Gunapati, Samatha; Kianian, Shahryar F; Singh, Sudhir P; 23 Effect of the Secondary Symbiont Hamiltonella defensa on Fitness and Relative Abundance of Buchnera aphidicola of Wheat Aphid, Sitobion miscanthi. Front Microbiol. 2018 Mar 29;9:582. doi: 10.3389/fmicb.2018.00582. eCollection 2018. PMID:29651279 Author : Qian, Li; Jia, Fan; Jingxuan, Sun; Manqun, Wang; Julian, Chen; 24 Identification and Pathogenicity of Fungal Pathogens Causing Black Point in Wheat on the North China Plain. Indian J Microbiol. 2018 Jun;58(2):159-164. doi: 10.1007/s12088-018-0709-1. Epub 2018 Jan 24. 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2018ÄêµÚ15ÖÜСÂóÎÄÏ×ÍƼö£¨4.15£© 1 Combined bioaugmentation with anaerobic ruminal fungi and fermentative bacteria to enhance biogas production from wheat straw and mushroom spent straw. Bioresour Technol. 2018 Apr 3;260:364-373. doi: 10.1016/j.biortech.2018.03.128. PMID:29649729 Author : Ferraro, Alberto; Dottorini, Giulia; Massini, Giulia; Mazzurco Miritana, Valentina; Signorini, Antonella; Lembo, Giuseppe; Fabbricino, Massimiliano; 2 Elite UK winter wheat cultivars differ in their ability to support the colonisation of beneficial root-infecting fungi. J Exp Bot. 2018 Apr 10. pii: 4965911. doi: 10.1093/jxb/ery136. PMID:29648609 Author : Osborne, Sarah-Jane; McMillan, Vanessa; White, Rodger; Hammond-Kosack, Kim E; 3 A Review of the Interactions between Wheat and Wheat Pathogens: Zymoseptoria tritici, Fusarium spp. and Parastagonospora nodorum. Int J Mol Sci. 2018 Apr 10;19(4). pii: ijms19041138. doi: 10.3390/ijms19041138. PMID:29642627 Author : Duba, Adrian; Goriewa-Duba, Klaudia; Wachowska, Urszula; 4 Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model. Sensors (Basel). 2018 Apr 6;18(4). pii: s18041120. doi: 10.3390/s18041120. PMID:29642395 Author : Li, He; Liu, Gaohuan; Liu, Qingsheng; Chen, Zhongxin; Huang, Chong; 5 The peptidyl-prolyl cis-trans isomerase activity of the wheat cyclophilin, TaCypA-1, is essential for inducing thermotolerance in Escherichia coli. Biochim Open. 2015 Nov 30;2:9-15. doi: 10.1016/j.biopen.2015.11.003. eCollection 2016 Jun. PMID:29632833 Author : Kaur, Gundeep; Singh, Supreet; Dutta, Tanima; Kaur, Harsimran; Singh, Brinderjit; Pareek, Ashwani; Singh, Prabhjeet; 6 Study of cytokinin transport from shoots to roots of wheat plants is informed by a novel method of differential localization of free cytokinin bases or their ribosylated forms by means of their specific fixation. Protoplasma. 2018 Apr 10. pii: 10.1007/s00709-018-1248-7. doi: 10.1007/s00709-018-1248-7. PMID:29637285 Author : Veselov, Stanislav Yu; Timergalina, Leila N; Akhiyarova, Guzel R; Kudoyarova, Guzel R; Korobova, Alla V; Ivanov, Igor; Arkhipova, Tatiana N; Prinsen, Els; 7 Genome-Wide Association Study for Identification and Validation of Novel SNP Markers for Sr6 Stem Rust Resistance Gene in Bread Wheat. Front Plant Sci. 2018 Mar 27;9:380. doi: 10.3389/fpls.2018.00380. eCollection 2018. PMID:29636761 Author : Mourad, Amira M I; Sallam, Ahmed; Belamkar, Vikas; Wegulo, Stephen; Bowden, Robert; Jin, Yue; Mahdy, Ezzat; Bakheit, Bahy; El-Wafaa, Atif A; Poland, Jesse; Baenziger, Peter S; 8 Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in in vitro ruminal culture. J Sci Food Agric. 2018 Apr 10. doi: 10.1002/jsfa.9056. PMID:29635854 Author : Zhang, Xiumin; Wang, Min; Rong, Wang; Zhiyuan, Ma; Donglei, Long; Hongxiang, Mao; Jiangnan, Wen; Bernard, Lukuyu A; Beauchemin, Karen A; Tan, Zhiliang; 9 Role of Alkyl Silatranes as Plant Growth Regulators: Comparative Substitution effect on Root and Shoot Development of Wheat and Maize. J Sci Food Agric. 2018 Apr 10. doi: 10.1002/jsfa.9052. PMID:29635793 Author : Singh, Gurjaspreet; Sharma, Geetika; Sanchita; Kalra, Pooja; Batish, Daizy Rani; Verma, Vikas; 10 Genotypic difference in physiological and biochemical characteristics in response to single and combined stresses of drought and salinity between the two wheat genotypes (Triticum aestivum) differing in salt tolerance. Physiol Plant. 2018 Apr 10. doi: 10.1111/ppl.12743. PMID:29635753 Author : Dugasa, Mengesha Tesfaye; Cao, Fangbin; Ibrahim, Wasim; Wu, Feibo; 11 Abundance of the arbuscular mycorrhizal fungal taxa associated with the roots and rhizosphere soil of different durum wheat cultivars in the Canadian prairies. Can J Microbiol. 2018 Apr 10. doi: 10.1139/cjm-2017-0637. PMID:29633625 Author : Ellouze, Walid; Hamel, Chantal; Singh, Asheesh K; Mishra, Vachaspati; DePauw, Ron; Knox, Ron; 12 Monoclonal Antibody-Based Serological Detection Methods for Wheat Dwarf Virus. Virol Sin. 2018 Apr 9. pii: 10.1007/s12250-018-0024-3. doi: 10.1007/s12250-018-0024-3. PMID:29633082 Author : Zhang, Minghao; Chen, Rui; Zhou, Xueping; Wu, Jianxiang; 13 Metabolomics and proteomics reveal drought-stress responses of leaf tissues from spring-wheat. Sci Rep. 2018 Apr 9;8(1):5710. doi: 10.1038/s41598-018-24012-y. PMID:29632386 Author : Michaletti, Anna; Naghavi, Mohammad Reza; Toorchi, Mahmoud; Zolla, Lello; Rinalducci, Sara; 14 Metabolic profiling of sourdough fermented wheat and rye bread. Sci Rep. 2018 Apr 9;8(1):5684. doi: 10.1038/s41598-018-24149-w. PMID:29632321 Author : Koistinen, Ville M; Mattila, Outi; Katina, Kati; Poutanen, Kaisa; Aura, Anna-Marja; Hanhineva, Kati; 15 Physiological and biochemical responses of durum wheat under mild terminal drought stress. Cell Mol Biol (Noisy-le-grand). 2018 Mar 31;64(4):59-63. PMID:29631684 Author : Niari Khamssi, Nahid; Najaphy, Abdollah; 16 Does cyclic water stress damage wheat yield more than a single stress? PLoS One. 2018 Apr 9;13(4):e0195535. doi: 10.1371/journal.pone.0195535. eCollection 2018. PMID:29630647 Author : Ding, Jinfeng; Huang, Zhengjin; Zhu, Min; Li, Chunyan; Zhu, Xinkai; Guo, Wenshan; 17 Evaluation of Pathogenic Variability Based on Leaf Blotch Disease Development Components of Bipolaris sorokiniana in Triticum aestivum and Agroclimatic Origin. Plant Pathol J. 2018 Apr;34(2):93-103. doi: 10.5423/PPJ.OA.08.2017.0175. Epub 2018 Apr 1. PMID:29628815 Author : Sultana, Sabiha; Adhikary, Sanjoy Kumar; Islam, Md Monirul; Rahman, Sorder Mohammad Mahbubur; 18 A wheat straw cellulose-based hydrogel for Cu (II) removal and preparation copper nanocomposite for reductive degradation of chloramphenicol. Carbohydr Polym. 2018 Jun 15;190:12-22. doi: 10.1016/j.carbpol.2018.02.032. Epub 2018 Feb 18. PMID:29628228 Author : Ding, Jianzi; Li, Qian; Xu, Xing; Zhang, Xiaojin; Su, Yuan; Yue, Qinyan; Gao, Baoyu; 19 Toxic effects of coal fly ash on wheat seedlings. Environ Geochem Health. 2018 Apr 7. pii: 10.1007/s10653-018-0103-2. doi: 10.1007/s10653-018-0103-2. PMID:29627928 Author : Liao, Zhongbin; Xiao, Xin; Hu, Yingying; Sun, Xiaofei; Wang, Hui; Zhou, Hongxuan; Ma, Yu; Li, James; 20 Arsenic species in wheat, raw and cooked rice: Exposure and associated health implications. Sci Total Environ. 2018 Apr 5;634:366-373. doi: 10.1016/j.scitotenv.2018.03.339. PMID:29627560 Author : Rasheed, Hifza; Kay, Paul; Slack, Rebecca; Gong, Yun Yun; 21 Metabolic responses to drought stress in the tissues of drought-tolerant and drought-sensitive wheat genotype seedlings. AoB Plants. 2018 Mar 1;10(2):ply016. doi: 10.1093/aobpla/ply016. eCollection 2018 Apr. PMID:29623182 Author : Guo, Rui; Shi, LianXuan; Jiao, Yang; Li, MingXia; Zhong, XiuLi; Gu, FengXue; Liu, Qi; Xia, Xu; Li, HaoRu; 22 Decreased photosynthetic rate under high temperature in wheat is due to lipid desaturation, oxidation, acylation, and damage of organelles. BMC Plant Biol. 2018 Apr 5;18(1):55. doi: 10.1186/s12870-018-1263-z. PMID:29621997 Author : Djanaguiraman, M; Boyle, D L; Welti, R; Jagadish, S V K; Prasad, P V V;
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2018ÄêµÚ15ÖÜСÂóÎÄÏ×ÍƼö£¨4.15£© 1 Combined bioaugmentation with anaerobic ruminal fungi and fermentative bacteria to enhance biogas production from wheat straw and mushroom spent straw. Bioresour Technol. 2018 Apr 3;260:364-373. doi: 10.1016/j.biortech.2018.03.128. PMID:29649729 Author : Ferraro, Alberto; Dottorini, Giulia; Massini, Giulia; Mazzurco Miritana, Valentina; Signorini, Antonella; Lembo, Giuseppe; Fabbricino, Massimiliano; 2 Elite UK winter wheat cultivars differ in their ability to support the colonisation of beneficial root-infecting fungi. J Exp Bot. 2018 Apr 10. pii: 4965911. doi: 10.1093/jxb/ery136. PMID:29648609 Author : Osborne, Sarah-Jane; McMillan, Vanessa; White, Rodger; Hammond-Kosack, Kim E; 3 A Review of the Interactions between Wheat and Wheat Pathogens: Zymoseptoria tritici, Fusarium spp. and Parastagonospora nodorum. Int J Mol Sci. 2018 Apr 10;19(4). pii: ijms19041138. doi: 10.3390/ijms19041138. PMID:29642627 Author : Duba, Adrian; Goriewa-Duba, Klaudia; Wachowska, Urszula; 4 Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model. Sensors (Basel). 2018 Apr 6;18(4). pii: s18041120. doi: 10.3390/s18041120. PMID:29642395 Author : Li, He; Liu, Gaohuan; Liu, Qingsheng; Chen, Zhongxin; Huang, Chong; 5 The peptidyl-prolyl cis-trans isomerase activity of the wheat cyclophilin, TaCypA-1, is essential for inducing thermotolerance in Escherichia coli. Biochim Open. 2015 Nov 30;2:9-15. doi: 10.1016/j.biopen.2015.11.003. eCollection 2016 Jun. PMID:29632833 Author : Kaur, Gundeep; Singh, Supreet; Dutta, Tanima; Kaur, Harsimran; Singh, Brinderjit; Pareek, Ashwani; Singh, Prabhjeet; 6 Study of cytokinin transport from shoots to roots of wheat plants is informed by a novel method of differential localization of free cytokinin bases or their ribosylated forms by means of their specific fixation. Protoplasma. 2018 Apr 10. pii: 10.1007/s00709-018-1248-7. doi: 10.1007/s00709-018-1248-7. PMID:29637285 Author : Veselov, Stanislav Yu; Timergalina, Leila N; Akhiyarova, Guzel R; Kudoyarova, Guzel R; Korobova, Alla V; Ivanov, Igor; Arkhipova, Tatiana N; Prinsen, Els; 7 Genome-Wide Association Study for Identification and Validation of Novel SNP Markers for Sr6 Stem Rust Resistance Gene in Bread Wheat. Front Plant Sci. 2018 Mar 27;9:380. doi: 10.3389/fpls.2018.00380. eCollection 2018. PMID:29636761 Author : Mourad, Amira M I; Sallam, Ahmed; Belamkar, Vikas; Wegulo, Stephen; Bowden, Robert; Jin, Yue; Mahdy, Ezzat; Bakheit, Bahy; El-Wafaa, Atif A; Poland, Jesse; Baenziger, Peter S; 8 Urea plus nitrate pretreatment of rice and wheat straws enhances degradation and reduces methane production in in vitro ruminal culture. J Sci Food Agric. 2018 Apr 10. doi: 10.1002/jsfa.9056. PMID:29635854 Author : Zhang, Xiumin; Wang, Min; Rong, Wang; Zhiyuan, Ma; Donglei, Long; Hongxiang, Mao; Jiangnan, Wen; Bernard, Lukuyu A; Beauchemin, Karen A; Tan, Zhiliang; 9 Role of Alkyl Silatranes as Plant Growth Regulators: Comparative Substitution effect on Root and Shoot Development of Wheat and Maize. J Sci Food Agric. 2018 Apr 10. doi: 10.1002/jsfa.9052. PMID:29635793 Author : Singh, Gurjaspreet; Sharma, Geetika; Sanchita; Kalra, Pooja; Batish, Daizy Rani; Verma, Vikas; 10 Genotypic difference in physiological and biochemical characteristics in response to single and combined stresses of drought and salinity between the two wheat genotypes (Triticum aestivum) differing in salt tolerance. Physiol Plant. 2018 Apr 10. doi: 10.1111/ppl.12743. PMID:29635753 Author : Dugasa, Mengesha Tesfaye; Cao, Fangbin; Ibrahim, Wasim; Wu, Feibo; 11 Abundance of the arbuscular mycorrhizal fungal taxa associated with the roots and rhizosphere soil of different durum wheat cultivars in the Canadian prairies. Can J Microbiol. 2018 Apr 10. doi: 10.1139/cjm-2017-0637. PMID:29633625 Author : Ellouze, Walid; Hamel, Chantal; Singh, Asheesh K; Mishra, Vachaspati; DePauw, Ron; Knox, Ron; 12 Monoclonal Antibody-Based Serological Detection Methods for Wheat Dwarf Virus. Virol Sin. 2018 Apr 9. pii: 10.1007/s12250-018-0024-3. doi: 10.1007/s12250-018-0024-3. PMID:29633082 Author : Zhang, Minghao; Chen, Rui; Zhou, Xueping; Wu, Jianxiang; 13 Metabolomics and proteomics reveal drought-stress responses of leaf tissues from spring-wheat. Sci Rep. 2018 Apr 9;8(1):5710. doi: 10.1038/s41598-018-24012-y. PMID:29632386 Author : Michaletti, Anna; Naghavi, Mohammad Reza; Toorchi, Mahmoud; Zolla, Lello; Rinalducci, Sara; 14 Metabolic profiling of sourdough fermented wheat and rye bread. Sci Rep. 2018 Apr 9;8(1):5684. doi: 10.1038/s41598-018-24149-w. PMID:29632321 Author : Koistinen, Ville M; Mattila, Outi; Katina, Kati; Poutanen, Kaisa; Aura, Anna-Marja; Hanhineva, Kati; 15 Physiological and biochemical responses of durum wheat under mild terminal drought stress. Cell Mol Biol (Noisy-le-grand). 2018 Mar 31;64(4):59-63. PMID:29631684 Author : Niari Khamssi, Nahid; Najaphy, Abdollah; 16 Does cyclic water stress damage wheat yield more than a single stress? PLoS One. 2018 Apr 9;13(4):e0195535. doi: 10.1371/journal.pone.0195535. eCollection 2018. PMID:29630647 Author : Ding, Jinfeng; Huang, Zhengjin; Zhu, Min; Li, Chunyan; Zhu, Xinkai; Guo, Wenshan; 17 Evaluation of Pathogenic Variability Based on Leaf Blotch Disease Development Components of Bipolaris sorokiniana in Triticum aestivum and Agroclimatic Origin. Plant Pathol J. 2018 Apr;34(2):93-103. doi: 10.5423/PPJ.OA.08.2017.0175. Epub 2018 Apr 1. PMID:29628815 Author : Sultana, Sabiha; Adhikary, Sanjoy Kumar; Islam, Md Monirul; Rahman, Sorder Mohammad Mahbubur; 18 A wheat straw cellulose-based hydrogel for Cu (II) removal and preparation copper nanocomposite for reductive degradation of chloramphenicol. Carbohydr Polym. 2018 Jun 15;190:12-22. doi: 10.1016/j.carbpol.2018.02.032. Epub 2018 Feb 18. PMID:29628228 Author : Ding, Jianzi; Li, Qian; Xu, Xing; Zhang, Xiaojin; Su, Yuan; Yue, Qinyan; Gao, Baoyu; 19 Toxic effects of coal fly ash on wheat seedlings. Environ Geochem Health. 2018 Apr 7. pii: 10.1007/s10653-018-0103-2. doi: 10.1007/s10653-018-0103-2. PMID:29627928 Author : Liao, Zhongbin; Xiao, Xin; Hu, Yingying; Sun, Xiaofei; Wang, Hui; Zhou, Hongxuan; Ma, Yu; Li, James; 20 Arsenic species in wheat, raw and cooked rice: Exposure and associated health implications. Sci Total Environ. 2018 Apr 5;634:366-373. doi: 10.1016/j.scitotenv.2018.03.339. PMID:29627560 Author : Rasheed, Hifza; Kay, Paul; Slack, Rebecca; Gong, Yun Yun; 21 Metabolic responses to drought stress in the tissues of drought-tolerant and drought-sensitive wheat genotype seedlings. AoB Plants. 2018 Mar 1;10(2):ply016. doi: 10.1093/aobpla/ply016. eCollection 2018 Apr. PMID:29623182 Author : Guo, Rui; Shi, LianXuan; Jiao, Yang; Li, MingXia; Zhong, XiuLi; Gu, FengXue; Liu, Qi; Xia, Xu; Li, HaoRu; 22 Decreased photosynthetic rate under high temperature in wheat is due to lipid desaturation, oxidation, acylation, and damage of organelles. BMC Plant Biol. 2018 Apr 5;18(1):55. doi: 10.1186/s12870-018-1263-z. 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2018ÄêµÚ14ÖÜСÂóÎÄÏ×ÍƼö£¨4.8£© 1 Body growth, intestinal morphology and microflora of quail on diets supplemented with micronised wheat fibre. Br Poult Sci. 2018 Apr 5. doi: 10.1080/00071668.2018.1460461. PMID:29620417 Author : Rezaei, Mehdi; Karimi Torshizi, Mohammad Amir; Wall, Helena; Ivarsson, Emma; 2 Long-Term Irrigation Affects the Dynamics and Activity of the Wheat Rhizosphere Microbiome. Front Plant Sci. 2018 Mar 21;9:345. doi: 10.3389/fpls.2018.00345. eCollection 2018. PMID:29619036 Author : Mavrodi, Dmitri V; Mavrodi, Olga V; Elbourne, Liam D H; Tetu, Sasha; Bonsall, Robert F; Parejko, James; Yang, Mingming; Paulsen, Ian T; Weller, David M; Thomashow, Linda S; 3 Leaf Dorsoventrality as a Paramount Factor Determining Spectral Performance in Field-Grown Wheat under Contrasting Water Regimes. J Exp Bot. 2018 Mar 31. pii: 4957039. doi: 10.1093/jxb/ery109. PMID:29617831 Author : Vergara-Diaz, Omar; Chairi, Fadia; Vicente, Ruben; Fernandez-Gallego, Jose A; Teresa Nieto-Taladriz, Maria; Aparicio, Nieves; Kefauver, Shawn C; Luis Araus, Jose; 4 Anthocyanin bio-fortified colored wheat: Nutritional and functional characterization. PLoS One. 2018 Apr 4;13(4):e0194367. doi: 10.1371/journal.pone.0194367. eCollection 2018. PMID:29617385 Author : Sharma, Saloni; Chunduri, Venkatesh; Kumar, Aman; Kumar, Rohit; Khare, Pragyanshu; Kondepudi, Kanthi Kiran; Bishnoi, Mahendra; Garg, Monika; 5 Conjugation of specifically developed antibodies for HMW and LMW glutenins with fluorescent quantum dots as a tool for their detection in wheat flour dough. J Agric Food Chem. 2018 Apr 4. doi: 10.1021/acs.jafc.7b05711. PMID:29616813 Author : Bonilla, Jose; Ryan, Valerie; Yazar, Gamze; Kokini, Jozef L; Bhunia, Arun K; 6 Expression of TaGF14b, a 14-3-3 adaptor protein gene from wheat, enhances drought and salt tolerance in transgenic tobacco. Planta. 2018 Apr 3. pii: 10.1007/s00425-018-2887-9. doi: 10.1007/s00425-018-2887-9. PMID:29616395 Author : Zhang, Yang; Zhao, Hongyan; Zhou, Shiyi; He, Yuan; Luo, Qingchen; Zhang, Fan; Qiu, Ding; Feng, Jialu; Wei, Qiuhui; Chen, Lihong; Chen, Mingjie; Chang, Junli; Yang, Guangxiao; He, Guangyuan; 7 The Impact of Phosphorus Supply on Selenium Uptake During Hydroponics Experiment of Winter Wheat (Triticum aestivum) in China. Front Plant Sci. 2018 Mar 20;9:373. doi: 10.3389/fpls.2018.00373. eCollection 2018. PMID:29616074 Author : Liu, Hongen; Shi, Zhiwei; Li, Jinfeng; Zhao, Peng; Qin, Shiyu; Nie, Zhaojun; 8 Molecular Cytogenetic Characterization of New Wheat-Dasypyrum breviaristatum Introgression Lines for Improving Grain Quality of Wheat. Front Plant Sci. 2018 Mar 19;9:365. doi: 10.3389/fpls.2018.00365. eCollection 2018. PMID:29616071 Author : Wang, Hongjin; Zhang, Hongjun; Li, Bin; Yu, Zhihui; Li, Guangrong; Zhang, Jie; Yang, Zujun; 9 Identification and characterization of wheat stem rust resistance gene Sr21 effective against the Ug99 race group at high temperature. PLoS Genet. 2018 Apr 3;14(4):e1007287. doi: 10.1371/journal.pgen.1007287. eCollection 2018 Apr. PMID:29614079 Author : Chen, Shisheng; Zhang, Wenjun; Bolus, Stephen; Rouse, Matthew N; Dubcovsky, Jorge; 10 Effect of Silicon on the Tolerance of Wheat (Triticum aestivum L.) to Salt Stress at Different Growth Stages: Case Study for the Management of Irrigation Water. Plants (Basel). 2018 Apr 3;7(2). pii: plants7020029. doi: 10.3390/plants7020029. PMID:29614015 Author : A M, Daoud; M M, Hemada; N, Saber; A A, El-Araby; L, Moussa; 11 Profiling and quantification of grain anthocyanins in purple pericarp x blue aleurone wheat crosses by high-performance thin-layer chromatography and densitometry. Plant Methods. 2018 Mar 31;14:29. doi: 10.1186/s13007-018-0296-5. eCollection 2018. PMID:29610577 Author : Bohmdorfer, Stefan; Oberlerchner, Josua Timotheus; Fuchs, Christina; Rosenau, Thomas; Grausgruber, Heinrich; 12 Metabolomics reveal that amino acids are the main contributors to antioxidant activity in wheat and rice gochujangs (Korean fermented red pepper paste). Food Res Int. 2016 Sep;87:10-17. doi: 10.1016/j.foodres.2016.06.015. Epub 2016 Jun 16. PMID:29606229 Author : Lee, Da Eun; Shin, Gi Ru; Lee, Sunmin; Jang, Eun Seok; Shin, Hye Won; Moon, Byoung Seok; Lee, Choong Hwan; 13 Multisurface modeling of Ni bioavailability to wheat (Triticum aestivum L.) in various soils. Environ Pollut. 2018 Mar 30;238:590-598. doi: 10.1016/j.envpol.2018.03.064. PMID:29609170 Author : Zhao, Xiaopeng; Jiang, Yang; Gu, Xueyuan; Gu, Cheng; Taylor, J Anita; Evans, Les J; 14 Genome-wide association mapping for eyespot disease in US Pacific Northwest winter wheat. PLoS One. 2018 Apr 2;13(4):e0194698. doi: 10.1371/journal.pone.0194698. eCollection 2018. PMID:29608579 Author : Lewien, Megan J; Murray, Timothy D; Jernigan, Kendra L; Garland-Campbell, Kimberly A; Carter, Arron H; 15 Diversity in protein profiling, pasting, empirical and dynamic dough rheological properties of meal from different durum wheat accessions. J Food Sci Technol. 2018 Apr;55(4):1256-1269. doi: 10.1007/s13197-018-3036-y. Epub 2018 Jan 15. PMID:29606740 Author : Katyal, Mehak; Virdi, Amardeep Singh; Singh, Narpinder; Kaur, Amritpal; Rana, J C; Kumari, Jyoti; 16 Effects of dextran with different molecular weights on the quality of wheat sourdough breads. Food Chem. 2018 Aug 1;256:373-379. doi: 10.1016/j.foodchem.2018.02.146. Epub 2018 Feb 28. PMID:29606462 Author : Zhang, Yao; Guo, Lunan; Xu, Dan; Li, Dandan; Yang, Na; Chen, Feng; Jin, Zhengyu; Xu, Xueming; 17 Characterization of wheat endoplasmic reticulum oxidoreductin 1 and its application in Chinese steamed bread. Food Chem. 2018 Aug 1;256:31-39. doi: 10.1016/j.foodchem.2018.02.080. Epub 2018 Feb 14. PMID:29606453 Author : Liu, Guang; Wang, JingJing; Hou, Yi; Huang, Yan-Bo; Wang, JiaJia; Li, Cunzhi; Guo, ShiJun; Li, Lin; Hu, Song-Qing; 18 iTRAQ-based quantitative proteomic analysis reveals the lateral meristem developmental mechanism for branched spike development in tetraploid wheat (Triticum turgidum L.). BMC Genomics. 2018 Apr 2;19(1):228. doi: 10.1186/s12864-018-4607-z. PMID:29606089 Author : Chen, Shulin; Chen, Juan; Hou, Fu; Feng, Yigao; Zhang, Ruiqi; 19 Ozone pollution will compromise efforts to increase global wheat production. Glob Chang Biol. 2018 Mar 31. doi: 10.1111/gcb.14157. PMID:29604158 Author : Mills, Gina; Sharps, Katrina; Simpson, David; Pleijel, Hakan; Broberg, Malin; Uddling, Johan; Jaramillo, Fernando; Davies, William J; Dentener, Frank; Van den Berg, Maurits; Agrawal, Madhoolika; Agrawal, S B; Ainsworth, Elizabeth A; Buker, Patrick; Emberson, Lisa; Feng, Zhaozhong; Harmens, Harry; Hayes, Felicity; Kobayashi, Kazuhiko; Paoletti, Elena; Van Dingenen, Rita; 20 Exogenous Melatonin Confers Cadmium Tolerance by Counterbalancing the Hydrogen Peroxide Homeostasis in Wheat Seedlings. Molecules. 2018 Mar 30;23(4). pii: molecules23040799. doi: 10.3390/molecules23040799. PMID:29601513 Author : Ni, Jun; Wang, Qiaojian; Shah, Faheem Afzal; Liu, Wenbo; Wang, Dongdong; Huang, Shengwei; Fu, Songling; Wu, Lifang; 21 Dietary wheat amylase trypsin inhibitors exacerbate murine allergic airway inflammation. Eur J Nutr. 2018 Mar 29. pii: 10.1007/s00394-018-1681-6. doi: 10.1007/s00394-018-1681-6. PMID:29600329 Author : Zevallos, Victor F; Raker, Verena K; Maxeiner, Joachim; Scholtes, Petra; Steinbrink, Kerstin; Schuppan, Detlef; 22 Plant and Floret Growth at Distinct Developmental Stages During the Stem Elongation Phase in Wheat. Front Plant Sci. 2018 Mar 15;9:330. doi: 10.3389/fpls.2018.00330. eCollection 2018. PMID:29599792 Author : Guo, Zifeng; Chen, Dijun; Schnurbusch, Thorsten; 23 Identification of Leaf Promoters for Use in Transgenic Wheat. Plants (Basel). 2018 Mar 28;7(2). pii: plants7020027. doi: 10.3390/plants7020027. PMID:29597282 Author : Alotaibi, Saqer S; Sparks, Caroline A; Parry, Martin A J; Simkin, Andrew J; Raines, Christine A; 24 Potential of Silicon Amendment for Improved Wheat Production. Plants (Basel). 2018 Mar 28;7(2). pii: plants7020026. doi: 10.3390/plants7020026. PMID:29597277 Author : Walsh, Olga S; Shafian, Sanaz; McClintick-Chess, Jordan R; Belmont, Kelli M; Blanscet, Steven M; � �
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Ô­´´Ð¡³ÌÐò-ÈÃÄãµÄÒýÎïÉè¼ÆÓÖ¿ìÓÖ×¼£¡ ±¾ÆÚ×÷ÕߣºRui Wang Õâ´ÎÎÒÃÇ°´Õռƻ®¼ÌÐøÎÒÃǵÄÉúÐŲËÄñÑø³É¼Ç£¨ÒÔÍùµÄÍÆËÍÎÄÕÂÇë¿´ÎÄÕÂĩβÁÐ±í£©£¬½ñÌìÒѾ­À´µ½ÁËÕâ¸öϵÁеĵÚÁù¼¯£¬ÎÒÃÇÒ²¿ªÊ¼ÉÏһЩcode¡£ÕâЩcodeÓÉJorgeʵÑéÊÒÕžüÀû²©Ê¿¿ª·¢£¬×¨Öθ÷ÖÖÒýÎïÉè¼ÆµÄÒÉÄÑÔÓÖ¢£¬±¾ÈËÒÑÇײ⣬·Ç³£ºÃÓã¬ÆðÂë±ÈPolyMarkerÓÖ¿ìÓÖ×¼£¡ Æäʵ½ñÌìÒÔϵÄÖ÷ÒªÄÚÈÝÒ²¶¼À´×Ô¾üÀûÐÖÔÚÒ»´ÎСÂó»ùÒò¿Ë¡µÄworkshopÖн̴ó¼ÒÉè¼ÆÒýÎïµÄ¿Î¼þ£¬¾­¾üÀûÐÖÔÊÐí£¬½ñÌìÎÞ˽·îÏ׸ø´ó¼Ò£¡Ïëµ½µ±Ç°ÎÞÂÛÊÇÉè¼ÆÒýÎïµÄÈí¼þ»¹ÊÇ×Ô¼º±àдµÄС³ÌÐò¾ùÊÇÒÔÓ¢ÎÄΪÖ÷£¬ËùÒÔ½ñÌìµÄÍÆËÍÒ²¾Í¸ø´ó¼Òԭ֭ԭζµÄÓÃÓ¢ÎÄ·îÉÏ¡£ÁíÍ⣬¶Ô½ñÌìµÄÍÆËÍÖÐһЩ»ù±¾Ô­ÀíÓÐʲôÎÊÌâÇë²Î¼ûÎÒÃÇÉÏ´ÎÉúÐÅϵÁеÄÍÆËÍ£º СÂóÉúÐŲËÄñ¹éÀ´(Îå)¡ªÏµÁÐ×ܽáÒÔ¼°ÌØÒìÐÔÒýÎïÉè¼Æ ¡£ Steps to design genome-specific primers ÒÔÏÂÕâÁù²½Æäʵ¾ÍÊÇÌØÒìÐÔÒýÎïÉè¼ÆµÄºËÐÄ£¬ÆäʵËùÓÐÈí¼þºÍ·½·¨¶¼ÊǸù¾ÝÕâÁù²½¿ª·¢µÄ¡£ÎÒÃDz»½öÒª»áÓ㬸üÒªÖªÆäËùÒÔÈ»¡£ 1. Blast the marker sequence against the pseudomolecule andfind all the homeologsand potentially paralogs: 90% similarity 2. Extract the sequences for all the homeologs and potentially paralogs 3. Multiple Sequence Alignment 4. Find all the variation sites among the homeologs and paralogs 5. Use variation sites or combination of variation sites that are unique to yourtargets to design primers 6. Blast all the primers against the pseudomolecule v1.0 with word length 7 to see whether they also hit other chromosomes Common practices of PCR primers ¡¤ Length: 18 - 25 nt ¡¤ Melting temperature: around 60 ¡ãC ¡¤ GC clamp: G or C bases within the last five basesin the 3' end helps promote specific binding, but more than 3 G/C should beavoided ¡¤ NO secondary structures ¡¤ Avoid template secondary structure or othercomplex regions, such as retros ¡¤ Amplicon length: KASP and dCAPS are short (300 bp), other markers usually 1 kb ¡¤ Primer pair Tm difference 5 ¡ãC Primer Design Tips ÒÔÏÂÖеڶþµã²»ÖªÓжàÉÙС»ï°éÖªµÀ£¬Õâ¸ö˼·ºÜÇÉÃÓùýµÄ¶¼ËµºÃ£¡ 1. Usethe unique variation site as the primer 3' end 7A CGAGCTTGATGACGAAGAAGGA T 7B CGAGCTTGATGACGAAGAAGGA C 2. Two variation sites in the first 4 nt from the 3' end: we canintroduce 1 mutation in the 3rd nt from 3' end (may need to use touchdown PCR) 7A CGAGCTTGATGACGAAGAAGGA T 7B CGAGCTTGATGACGAAGAAGGA C CGAGCTTGATGACGAAGAAG A A T Nucleotide substitution principle : A ¡ú C £» T ¡ú C £» G ¡ú A £» C ¡ú T Validate Primer Location Using Chinese Spring Nullitetrasomic (NT) Lines If we tested our primers target for 7A: N7AT7D (7D7B7D): Absent N7BT7D (7A7D7D): Present N7DT7B (7A7B7B): Present Are our primers 7A-specific? Common PCR-based genotyping methods for SNP markers ÒÔϵÄÈýÖÖ±ê¼ÇÖÖÀà´ó¼Ò¿ÉÄÜÊìϤCPASºÍKASP£¬²»ÖªÓжàÉÙС»ï°éÊìϤdCAPS, Õâ¸öºÍÉÏÃæµÚ¶þµãËùÓõ½µÄ˼·ÊÇÒ»ÑùµÄ¡£ 1. CAPS (Cleaved Amplified Polymorphic Sequences) One SNP allele creates or removes a naturally occurring restriction site Codominant 2. dCAPS (Derived CAPS) For SNPs that donot create a natural restriction site Uses introduced mismatches in one PCR primer to create a restriction site forone allele Codominant 3. KASP (Kompetitive Allele Specific PCR) A homogenous,fluorescence-based genotyping variant of PCR Codominant ΪÁËÈôó¼ÒÊìϤÕâ¸ödCAPs£¬ÒÔÏÂÊÇÒ»¸öÀý×Ó£º IWB1998:CGAGCTTGATGACGAAGAAGGAGA CGGGCAGACCCACGACGT EcoRV: GAT'ATC ÕâÀïÓÖÓÐÒ»¸öÇÉÃîµÄ˼·£º We can add some tails to make dCAPS primer longer to better separate after digestion£º GAAGGTGACCAAGTTCATGCT CGAGCTTGATGACGAAGAAGGATA Primer design software ¡¤ Primer3 ( http://primer3.ut.ee/ ) ¡¤ Polymarker for KASP in wheat ( https://github.com/TGAC/biorubypolyploid tools ) ¡¤ CAPS Designer ( https://solgenomics.net/tools/caps_designer/caps_input.pl ) ¡¤ dCAPS Finder 2.0 ( http://biology4.wustl.edu/dcaps ) ¡¤ indCAPS ( http://indcaps.kieber.cloudapps.unc.edu/ ) ¡¤ GSP (Genome Specific Primers) ( https://probes.pw.usda.gov/GSP/ ) SNP Primer Design Pipeline Õâ¸ö¾ÍÊǾüÀûÐÖ×Ô¼º±àдµÄPythonС³ÌÐò£¬ÒÔÏÂÒ²¸½ÉÏÁËÔÚgithubÉϵÄÔ´´úÂëºÍÏàӦ˵Ã÷Îļþ¡£Ç¿ÁÒÍƼö´ó¼ÒÏÂÔØÓ¦Óã¬ËµÃ÷ÎļþÒ²·Ç³£Ïêϸ £¬ ѧÆðÀ´Ò²²»ÄÑ¡£ 1. Apipeline to design KASP/CAPS/dCAPS primers for SNPs in wheat 2. A Python script which incorporates: ¡¤ Muscle: Multiple sequence alignment program ( http://www.drive5.com/muscle/ ) ¡¤ Primer3: program for designing PCR primers ( http://primer3.sourceforge.net/ ) ¡¤ blast+: BLAST the wheat genome ( https://blast.ncbi.nlm.nih.gov/Blast.cgi ) 3. I have a github repository for this tool https://github.com/pinbo/SNP_Primer_Pipeline ÏÂÃæÊÇPipelineµÄ¹¤×÷Ô­Àí£º 1.Blast each SNP sequence against the pseudomolecule and get hits that are ¡¤ 90% similarity and ¡¤ 90% of length of the best hit AND 50 bp 2.Get 500 bps on each side of the SNP for all the hits ( SNP is at 501 ) 3. Multiple Sequence Alignment of the homeolog sequences with MUSCLE 4. Find all the variation sites that can differ the target from other homeologs 5. Use these sites as forced 3' end in Primer3 and design homeolog specific primers 6. Blast all the primers against the pseudomolecule v1.0 with word length 7 to see whether it also hits other chromosomes ¡¤ Criterion of matches: 2 mismatches in thefirst 4 bps from 3' ÒýÉêÔĶÁ£ºÐ¡ÂóÉúÐÅϵÁÐÎÄÕ 1. µÚһƪÊÇΪÐò£¬½éÉÜÁËÒ»¸ö³£ÓõÄÉúÐÅÍøÕ¾ Graingenes СÂóÉúÐűر¸ÍøÕ¾ºÍÊý¾Ý¿â£¨Ò»£© 2. ½ÓÏÂÀ´ÈýƪÖ÷Òª½éÉÜÁËСÂóÎïÀíͼÆ׵ĽéÉܺÍÓ¦Óã¬ÆäÖжÔСÂó»ùÒò×éÊý¾Ý¿âµÄ×ܽá½éÉÜÊǷdz£»ù´¡ÇÒÖØÒªµÄ֪ʶ¡£ÁíÍ⣬Ҳ½éÉÜÁËһЩ±È½Ï»ùÒò×éѧµÄ֪ʶºÍÓ¦Ó㬰üÀ¨Ò°Éú¶þÁ£Ð¡Âó£¬É½Ñò²Ý£¬ÄâÄϽ棬ºÍË®µ¾¡£ СÂóÉúÐŲËÄñ³É³¤¼Ç(¶þ)--¸ßÊÖÇëÖ±½Ó¿´µÚ¶þ²¿·Ö СÂó»ùÒò×éÊý¾Ý¿â½éÉÜ Ð¡ÂóÉúÐŲËÄñ(Èý)--³£¼ûÎÊÌâ ÈçºÎ»ñȡСÂóÖÐÒ»¸ö»ùÒò¼Ò×åµÄËùÓгÉÔ± ÈçºÎ¸ù¾Ýģʽ×÷ÎïÄâÄϽæºÍË®µ¾µÄ»ùÒòÐòÁÐ Ñ°ÕÒСÂóÀïµÄֱϵͬԴ»ùÒò 3. ½ÓÏÂÀ´¼¸ÆªÐ¡±à´òËã½éÉÜÈý¸öÖ÷Ì⣺»ùÒò±í´ï£¬ÌØÒìÐÔÒýÎïÉè¼Æ£¬ÒÔ¼°Í»±äÌå¿â¡£ СÂóÉúÐŲËÄñ(ËÄ)¡ª»ùÒò±í´ïÊý¾Ý¿â СÂóÉúÐŲËÄñ¹éÀ´(Îå)¡ªÏµÁÐ×ܽáÒÔ¼°ÌØÒìÐÔÒýÎïÉè¼Æ СÂóÉúÐŲËÄñ(Áù)¡ªÌØÒìÐÔÒýÎïÉè¼Æ £¨½ñÌìÍÆËÍ£© СÂóÉúÐŲËÄñ ( Æß )¡ª »ùÒò±í´ïÊý¾Ý·ÖÎö£¨´ýÐø£© СÂóÉúÐŲËÄñ ( °Ë )¡ª СÂóÍ»±äÌåÊý¾Ý¿â½éÉܼ°Ó¦Ó㨴ýÐø£© 4. 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mashengwei 2018-3-24 23:25
2018ÄêµÚ12ÖÜСÂóÎÄÏ×ÍƼö£¨3.24£© ÕâÒ»ÖÜÎÄÏ׺ֵܶ࣬µÃÒ»¶ÁµÄÎÄÏ×Ò²Óм¸Æª¡£ 1 Genome editing of bread wheat using biolistic delivery of CRISPR/Cas9 in vitro transcripts or ribonucleoproteins In recent years, CRISPR/Cas9 has emerged as a powerful tool for improving crop traits. Conventional plant genome editing mainly relies on plasmid-carrying cassettes delivered by Agrobacterium or particle bombardment. Here, we describe DNA-free editing of bread wheat by delivering in vitro transcripts (IVTs) or ribonucleoprotein complexes (RNPs) of CRISPR/Cas9 by particle bombardment. This protocol serves as an extension of our previously published protocol on genome editing in bread wheat using CRISPR/Cas9 plasmids delivered by particle bombardment. The methods we describe not only eliminate random integration of CRISPR/Cas9 into genomic DNA, but also reduce off-target effects. In this protocol extension article, we present detailed protocols for preparation of IVTs and RNPs; validation by PCR/restriction enzyme (RE) and next-generation sequencing; delivery by biolistics; and recovery of mutants and identification of mutants by pooling methods and Sanger sequencing. To use these protocols, researchers should have basic skills and experience in molecular biology and biolistic transformation. By using these protocols, plants edited without the use of any foreign DNA can be generated and identified within 9¨C11 weeks. 2 Yield and grain weight responses to post-anthesis increases in maximum temperature under field grown wheat as modified by nitrogen supply High-temperatures reduce yield of wheat and with global warming episodes of heat waves (only few days of high maximum temperatures) during grain filling will become more frequent. It has been recently reported that the magnitude of the yield penalties imposed by high temperatures under field conditions may interact with nitrogen (N) availability both in barley and maize. We determined, under field conditions, the penalties imposed by post-anthesis high-temperatures waves (increased maximum ¨Cbut not minimum¨C temperatures during part of the grain filling period) on wheat yield under contrasting soil N supply during two consecutive years. The high temperature treatment was imposed for 10 d starting 10 d after anthesis by placing over the crops transparent polyethylene film (125 ¦Ìm) mounted on wood structures of 1.5 m height above the ground. This high-temperature and the unheated controls were imposed on 5 modern and well adapted cultivars under contrasting N availabilities (376, 268 and 68 KgN ha−1). Averaged across N conditions, high-temperature treatments reduced yield by c . 1.5 Mg ha−1 (a loss of c . 17%) even though the treatment was rather mild in terms of different average temperature during grain filling. The magnitude of the loss was consistently shaped by the N condition in which the treatment was imposed: yield penalty produced by high-temperature increased from less than 1 to 2.6 Mg ha−1 (which represents losses from 10 to 25%) in parallel with the increased N supply. The penalties were related to both yield components (grain number and average grain weight) which also were more severely penalised under high than under low N supply. As episodes of high-temperature waves will become more frequent in the future the tools used to establish the needs of N fertilisation should be revised as the rates maximising yield (or gross margin) might induce higher sensitivities to these episodes. Also simulation models used to upscale physiological responses to regional or even global domains might need to be revised to include the effect of heat waves (which would be larger per ¡ãC increase than what is estimated from experiments increasing temperature during the whole day and over longer periods) as well as the interaction with N supply. 3 Identification and characterization of phenolic compounds extracted from barley husks by LC-MS and antioxidant activity in vitro Phenolic compounds were extracted from Tunisian barley husks obtained through a pearling process, by using two different extraction solvents: acid treatment with sulfuric acid and alkaline delignification with sodium hydroxide. Their antioxidant properties in vitro were investigated using 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging test and butylated hydroxyanisole (BHA). Antioxidants composition was evaluated with LC-MS analysis. Findings suggest that the best yields of crude extracts with high level of phenolic compounds exhibiting strong antioxidant activities were found after pre-hydrolysis and delignification step of barley husks. The lowest average total phenolic content found was 763.665 mg/100 g, presenting an EC50 value of 0.93 g/L, four higher antioxidant levels than BHA (0.24 g/L). All extracted fractions showed high contents of p-coumaric acid (¡Ý491.189 mg/100 g), trans-ferulic acid (¡Ý501.475 mg/100 g) and syringic acid (¡Ý192.228 mg/100 g). These results contribute to enhancing the value of barley husks as a good source of natural antioxidants, which serve as new functional food ingredients and dietary supplements. 4 Improving water use efficiency and grain yield of winter wheat by optimizing irrigations in the North China Plain Achieving the combination of high water use efficiency (WUE) and high yield is very important for the sustainable development of wheat production in the North China Plain (NCP). For this study, we investigated how to optimize timing of two irrigations to improve winter wheat grain yield and WUE under field conditions. No-irrigation after sowing (W0) as a control, and six irrigation treatments as follows: irrigation of 75 mm each at late tillering and booting (TB), at late tillering and anthesis (TA); at late tillering and medium milk (TM), at jointing and anthesis (JA), at jointing and medium milk (JM) and at booting and medium milk (BM). Experiments were conducted between the 2014¨C2016 growing seasons. In all the treatments, JA achieved the highest grain yield (9,267.6 kg ha−1) and WUE (20.2 kg ha−1 mm−1). Compared with TB, TA and TM, JA coordinated pre- and post-anthesis water use, reduced pre-anthesis and total evapotranspiration (ET), and increased post-anthesis water use amount and ratio; JA reduced biomass at anthesis, but optimized allocation of assimilation, increased spike partitioning index and maintained high fruiting efficiency, and thus obtained the highest grain number per m2(GN, 23.7 103 m−2). Meanwhile, JA optimized crop characteristics with appropriate leaf area index (LAI), delayed leaf senescence, extended grain filling duration by 1¨C3 days, then increased biomass post-anthesis and harvest index (HI). Compared with JM and BM, JA increased GN, biomass post-anthesis and grain yield as well. These results demonstrated that irrigation at jointing and anthesis could improve grain yield and WUE by increasing biomass post-anthesis, HI and GN. Therefore, we propose that under adequate soil moisture conditions before sowing, two irrigations at jointing and anthesis with 150 mm irrigation amount is the optimal limited irrigation practice for wheat production in NCP. 5 Integrated agronomic practices management improve yield and nitrogen balance in double cropping of winter wheat-summer maize 6 Tillage and residue management for long-term wheat-maize cropping in the North China Plain: I. Crop yield and integrated soil fertility index Conservation tillage has been gaining increasing recognition for its role in improving soil quality and maintaining agricultural sustainability. This is the first in a series of papers describing the impacts of reduced/no-tillage with and without residue based on the field experiment in the North China Plain. The experiment was established in 2006 on a sandy loam soil and involved a winter wheat-summer maize rotation system per year. The objective of this study was to investigate the impacts of different conservation tillage systems on crop yield and soil fertility that was quantified by a minimum data set and integrated index. Soil samples were collected since 2011, and the stocks of soil organic matter (SOM), total nitrogen (TN), alkali-hydrolyzale nitrogen (AN), total phosphorus (TP), available phosphorus (AP), total potassium (TK) and available potassium (AK) were measured for each year as well as soil aggregates were fractionated for 2016. Compared to continuous tillage, the reduced/no-tillage, regardless of residue, significantly increased the macroaggregate mass and soil nutrient stocks at the 0¨C10 cm depth, while further improvements in these soil attributes apart from TK were observed at the 0¨C10 and 10¨C20 cm depths for residue returning relative to residue removing. The accumulations of soil nutrients were closely related to soil macroaggregation. The path analysis revealed that TN was the most important soil attribute to directly determine wheat and maize yields while other soil attributes apart for TK primarily made indirect contributions to the yields. The first two factors extracted using 8 soil attributes through factor analysis were selected as the integrated indicators for the minimum data set, and their integrated score was calculated to quantify soil fertility. It was found that reduced/no-tillage did not improved soil fertility at the 0¨C20 cm depth. Consequently, an average 6.9% decrease in wheat yield across all years was observed under no-tillage while reduced tillage only increased the yield in the first two years in a periodic reduced tillage event. No significant difference was observed for the mean maize yield among the three tillage regimes averaged across all years and residue managements. Wheat and maize yields were significantly correlated with the integrated score for soil fertility, and thus significant increases in grain yields of wheat and maize were observed for residue returning. It can be concluded that grain yields of wheat and maize within a given residue management practice were not significantly higher for reduced/no-tillage than continuous tillage, regardless of the effects of tillage on aggregates and soil nutrients. 7 Wheat miR9678 Affects Seed Germination by Generating Phased siRNAs and Modulating Abscisic Acid/Gibberellin Signaling Seed germination is important for grain yield and quality and rapid, near-simultaneous germination helps in cultivation; however, cultivars that germinate too readily can undergo pre-harvest sprouting (PHS), which causes substantial losses in areas that tend to get rain around harvest time. Moreover, our knowledge of mechanisms regulating seed germination in wheat (Triticum aestivum) remains limited. In this study, we analyzed function of a wheat-specific microRNA 9678 (miR9678), which is specifically expressed in the scutellum of developing and germinating seeds. Overexpression of miR9678 delayed germination and improved resistance to PHS in wheat through reducing bioactive gibberellins (GAs) levels; miR9678 silencing enhanced germination rates. We provide evidence that miR9678 targets a long non-coding RNA(WSGAR)and triggers the generation of phased siRNA which play a role in the delay of seed germination. Finally, we found that abscisic acid (ABA) signaling proteins bind the promoter of miR9678 precursor and activate its expression, indicating that miR9678 affects germination by modulating the GA/ABA signaling. 8 Effect of sowing time and seeding rate on yield components and water use efficiency of winter wheat by regulating the growth redundancy and physiological traits of root and shoot 9 The activity of superoxide dismutases (SODs) at the early stages of wheat deetiolation Unbound tetrapyrroles, i . e . protochlorophyllide (Pchlide), chlorophyllide and chlorophylls, bring the risk of reactive oxygen species (ROS) being generated in the initial stages of angiosperm deetiolation due to inefficient usage of the excitation energy for photosynthetic photochemistry. We analyzed the activity of superoxide dismutases (SODs) in etiolated wheat ( Triticum aestivum ) leaves and at the beginning of their deetiolation. Mn-SOD and three isoforms of Cu/Zn-SODs were identified both in etiolated and greening leaves of T . aestivum . Two Cu/Zn-SODs, denoted as II and III, were found in plastids. The activity of plastidic Cu/Zn-SOD isoforms as well as that of Mn-SOD correlated with cell aging along a monocot leaf, being the highest at leaf tips. Moreover, a high Pchlide content at leaf tips was observed. No correlation between SOD activity and the accumulation of photoactive Pchlide, i . e . Pchlide bound into ternary Pchlide:Pchlide oxidoreductase:NADPH complexes was found. Cu/Zn-SOD I showed the highest activity at the leaf base. A flash of light induced photoreduction of the photoactive Pchlide to chlorophyllide as well as an increase in all the SODs activity which occurred in a minute time-scale. In the case of seedlings that were deetiolated under continuous light of moderate intensity (100 ¦Ìmol photons m-2 s-1), only some fluctuations in plastidic Cu/Zn-SODs and Mn-SOD within the first four hours of greening were noticed. The activity of SODs is discussed with respect to the assembly of tetrapyrroles within pigment-protein complexes, monitored by fluorescence spectroscopy at 77 K. 10 Fungicide and cultivar management of leaf spot diseases of winter wheat in western Canada A complex of leaf spotting diseases are frequently observed on winter wheat in western Canada; however, there are few studies indicating varietal differences in reaction to these diseases or the benefit of fungicide application. To determine the benefit of varietal improvement, and multiple fungicide treatments and application timings, field experiments were conducted at six site-years in western Canada. Two cultivars varying in reaction to leaf spot diseases were used in combination with fungicide treatments. Disease severity ranged from trace to 64% of the combined flag and penultimate leaf area diseased, differed between cultivars, and was reduced from the check by some fungicide treatments. Yield improvement by fungicide treatment varied from 3.3 to 13.2% greater than the non-treated check. At two site-years, the split application of two half rates of fungicide resulted in the greatest yield; however, in both cases the yield benefit did not differ from a single application at the flag leaf growth stage. Cultivar selection and fungicide use under environments conducive to disease are beneficial components of an integrated leaf spot disease management program for winter wheat in western Canada. 11 First report of Fusarium pseudograminearum causing crown rot of wheat in Europe 12 Long-Term Irrigation Affects the Dynamics and Activity of the Wheat Rhizosphere Microbiome 13 Proteomic analysis of melatonin-mediated osmotic tolerance by improving energy metabolism and autophagy in wheat ( Triticum aestivum L.) Melatonin is known to play multiple roles in plant abiotic stress tolerance. However, its role in wheat has been rarely investigated. In this study, 25% polyethylene glycol 6000 (PEG 6000) was used to simulate osmotic stress, and wheat seeds and seedlings were treated with different concentrations of melatonin under PEG stress. Isobaric tag for relative and absolute quantification (iTRAQ)-based proteomic techniques were used to identify the differentially accumulated proteins from melatonin-treated and non-treated seedlings. Seeding priming with melatonin significantly increased the germination rate, coleoptile length, and primary root number of wheat under PEG stress, as well as the fresh weight, dry weight, and water content of wheat seedlings. Under PEG stress, melatonin significantly improved reactive oxygen species homeostasis, as revealed by lower H2O2 and O 2 ¡¤ content; and the expression of antioxidant enzymes at the transcription and translation levels was increased. Melatonin maintained seedling growth by improving photosynthetic rates and instantaneous and intrinsic water use efficiencies, as well as carbon fixation and starch synthesis at the protein level. Melatonin treatment significantly affected the expression of glycolytic proteins, including fructose-1,6-bisphosphate aldolase, hexokinase, glyceraldehyde-3-phosphate dehydrogenase, and enolase, and remarkably increased the expression of the nicotinamide adenine dinucleotide transporter and nicotinamide adenine dinucleotide binding protein, thereby indirectly modulating electron transport in the respiratory chain. This indicated that melatonin improved energy production in PEG-stressed seedlings. Further, melatonin played a regulatory role in autophagy, protease expression, and ubiquitin-mediated protein degradation by significantly upregulating rab-related protein, fused signal recognition particle receptor, aspartyl protease, serine protease, ubiquitin-fold modifier 1, and ubiquitin at the mRNA or protein level. These findings suggested that melatonin might activate a metabolic cascade related to autophagy under PEG stress in wheat seedlings. 14 The wheat TabZIP2 transcription factor is activated by the nutrient starvation-responsive SnRK3/CIPK protein kinase Basic leucine zipper (bZIP) transcription factors (TFs) play key roles in the regulation of grain development and plant responses to abiotic stresses. We investigated the role and molecular mechanisms of function of the TabZIP2 gene isolated from drought-stressed wheat plants. Molecular characterisation of TabZIP2 and derived protein included analyses of gene expression and its target promoter, and the influence of interacting partners on the target promoter activation. Two interacting partners of TabZIP2, the 14-3-3 protein, TaWIN1 and the bZIP transcription factor TaABI5L, were identified in a Y2H screen. We established that under elevated ABA levels the activity of TabZIP2 was negatively regulated by the TaWIN1 protein and positively regulated by the SnRK3/CIPK protein kinase WPK4, reported previously to be responsive to nutrient starvation. The physical interaction between the TaWIN1 and the WPK4 was detected. We also compared the influence of homo- and hetero-dimerisation of TabZIP2 and TaABI5L on DNA binding. TabZIP2 gene functional analyses were performed using drought-inducible overexpression of TabZIP2 in transgenic wheat. Transgenic plants grown under moderate drought during flowering, were smaller than control plants, and had fewer spikes and seeds per plant. However, a single seed weight was increased compared to single seed weights of control plants in three of four evaluated transgenic lines. The observed phenotypes of transgenic plants and the regulation of TabZIP2 activity by nutrient starvation-responsive WPK4, suggest that the TabZIP2 could be the part of a signalling pathway, which controls the rearrangement of carbohydrate and nutrient flows in plant organs in response to drought. 15 Characterization of Pm59 , a novel powdery mildew resistance gene in Afghanistan wheat landrace PI 181356 Powdery mildew, caused by Blumeria graminis f. sp. tritici ( Bgt ), is an important foliar disease of wheat worldwide. In the Great Plains of the USA, Bgt isolates virulent to widely used powdery mildew resistance genes, such as Pm3a , were previously identified. The objectives of this study were to characterize the powdery mildew resistance gene in Afghanistan landrace PI 181356, which exhibited high resistance to Bgt isolates collected in southern Great Plains, and identify molecular markers for marker-assisted selection. An F2 population and F2:3 lines derived from a cross between PI 181356 and OK1059060-126135-3 were used in this study. Genetic analysis indicated that PI 181356 carries a single dominant gene, designated Pm59 , in the terminal region of the long arm of chromosome 7A. Pm59 was mapped to an interval between sequence tag site (STS) markers Xmag1759 and Xmag1714 with genetic distances of 0.4 cM distal to Xmag1759 and 5.7 cM proximal to Xmag1714. Physical mapping suggested that Pm59 is in the distal bin 7AL 0.99¨C1.00. Pm59 is a novel powdery mildew resistance gene, and confers resistance to Bgt isolates collected from the Great Plains and the state of Montana. Therefore, Pm59 can be used to breed powdery mildew-resistant cultivars in these regions. Xmag1759 is ideal for marker-assisted selection of Pm59 in wheat breeding. 16 Characterisation and mapping of adult plant stripe rust resistance in wheat accession Aus27284 Stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), is among the most important constraints to global wheat production. The identification and characterisation of new sources of host plant resistance enrich the gene pool and underpin deployment of resistance gene pyramids in new cultivars. Aus27284 exhibited resistance at the adult plant stage against predominant Pst pathotypes and was crossed with a susceptible genotype Avocet S. A recombinant inbred line (RIL) population comprising 121 lines was developed and tested in the field at three locations in 2016 and two in 2017 crop seasons. Monogenic segregation for adult plant stripe rust response was observed among the Aus27284/Avocet S RIL population and the underlying locus was temporarily designated YrAW11 . Bulked-segregant analysis using the Infinium iSelect 90K SNP wheat array placed YrAW11 in chromosome 3B. Kompetitive allele specific PCR (KASP) primers were designed for the linked SNPs and YrAW11 was flanked by KASP_65624 and KASP_53292 (3 cM) proximally and KASP_53113 (4.9 cM) distally. A partial linkage map of the genomic region carrying YrAW11 comprised nine KASP and two SSR markers. The physical position of KASP markers in the pseudomolecule of chromosome 3B placed YrAW11 in the long arm and the location of markers gwm108 and gwm376 in the deletion bin 3BL2-0.22 supported this conclusion. As no other stripe rust resistance locus has been reported in chromosome 3BL, YrAW11 was formally designated Yr80 . Marker KASP_ 53113 was polymorphic among 94% of 81 Australian wheat cultivars used for validation. 17 Systematic analysis of the lysine malonylome in common wheat In total, 342 lysine malonylated sites were identified in 233 proteins. Bioinformatics analysis showed that the frequency of arginine (R) in position + 1 was highest, and a modification motif, KmaR, was identified. The malonylated proteins were located in multiple subcellular compartments, especially in the cytosol (45%) and chloroplast (30%). The identified proteins were found to be involved in diverse pathways, such as carbon metabolism, the Calvin cycle, and the biosynthesis of amino acids, suggesting an important role for lysine malonylation in these processes. Protein interaction network analysis revealed eight highly interconnected clusters of malonylated proteins, and 137 malonylated proteins were mapped to the protein network database. Moreover, five proteins were simultaneously modified by lysine malonylation, acetylation and succinylation, suggesting that these three PTMs may coordinately regulate the function of many proteins in common wheat. 18 The Impact of Phosphorus Supply on Selenium Uptake During Hydroponics Experiment of Winter Wheat ( Triticum aestivum ) in China Selenium (Se) is a necessary trace element for humans and animals, and Se fertilization is an efficient way to increase Se concentration in the edible parts of crops, thus enhance the beneficiary effects of Se in human and animal health. Due to the similarity of physical and chemical properties between phosphate ( ) and selenite ( ), phosphorus (P) supply often significantly impacts the absorption of Se in plants, but little is known about how P supply influences the subcellular distribution and chemical forms of Se. In this study, the effects of P supply on subcellular distribution and chemical forms of Se in winter wheat were investigated in a hydroponic trial with medium Se level (0.1 mg Se L-1). P was applied with three concentrations (0.31, 3.1, and 31 mg P L-1) in the experiment. The results showed that increasing P supply significantly decreased the concentration and accumulation of Se in the roots, stems, and leaves of winter wheat. An increase in P supply significantly inhibited Se accumulation in the root cell wall, but enhanced Se distribution in the organelles and soluble fraction of root cells. These findings suggest that increased P supply inhibited the root-to-shoot transport of Se. An increase in P supply enhanced Se accumulation in the cell wall of plant stems (both apical and axillary stem) and cell organelles of plants leaves, but inhibited Se distribution in the soluble fraction of stems and leaves. This suggests that P supply enhances Se transportation across the cell membrane in shoots of winter wheat. In addition, increased P supply also altered the chemical forms of Se in tissues of winter wheat. These findings will help in understanding of the regulation grain Se accumulation and provide a practical way to enhance Se intake for humans inform Se-enriched grains. 19 Pm21 from Haynaldia villosa Encodes a CC-NBS-LRR that Confers Powdery Mildew Resistance in Wheat 20 Pm21 , encoding a typical CC-NBS-LRR protein, confers broad-spectrum resistance to wheat powdery mildew disease 21 Genetic relationship of diploid wheat ( Triticum spp.) species assessed by SSR markers Genetic diversity of 139 accessions of diploid Triticum species including Triticum urartu , Triticum boeoticum and Triticum monococcum was studied using 11 SSR (simple sequence repeats) markers. A total of 111 alleles with an average of 10 alleles per locus were detected. The polymorphism information content (PIC) of each SSR marker ranged from 0.30 to 0.90 with an average value of 0.62. Among the three Triticum species T. urartu had the highest number of total alleles (Na = 81), private alleles (Npa = 15) and showed higher genetic diversity (Hex = 0.58; PIC = 0.54). The genotypes from Turkey exhibited the highest genetic diversity (PIC = 0.6), while the least diversity was observed among 4 Georgian accessions (PIC = 0.11). Cluster analysis was able to distinguish 139 wheat accessions at the species level. The highest genetic similarity (GS) was noted between T. boeticum and T. monococcum (GS = 0.84), and the lowest between T. urartu and T. monococcum (GS = 0.46). The grouping pattern of the PCoA analysis corresponded with cluster analysis. No significant differences were found in clustering of T. urartu and T. monococcum accessions with respect to their geographic regions, while within T. boeoticum species, accessions from Iran were somewhat associated with their geographical origin and clustered as a close and separate group. The results from our study demonstrated that SSR markers were good enough for further genetic diversity analysis in einkorn wheat species. 22 A new player in race-specific resistance 23 Complex regulation of the TaMyc1 gene expression in wheat grain synthesizing anthocyanin pigments The wheat TaMyc1 gene encodes for transcriptional factor (TF) with bHLH domain. The gene is expressed in purple wheat grains and activates transcription of the anthocyanin biosynthesis structural genes. To reveal the features of TaMyc1 regulation in wheat pericarp transcription start sites (TSS) were identified by 5¡ä RACE mean and translation efficiency was predicted by in silico methods. Three alternative transcript variants of TaMyc1 differing by 5¡ä leader sequence only were identified in purple pericarp. The three transcripts are generated from distinct TATA boxes and thereby are differed by TSS. Two transcripts ( TaMyc1a, -b ) have identical initiation AUG codons that lead to the TaMYC1 regulatory protein with bHLH domain. However because of different stability of secondary structures predicted in 5¡ä leader the two transcripts might be translated with different efficiency. The third transcript is assumed to be not effectively translated. qRT-PCR and colonies counting were applied to assess contribution each of the transcripts to total TaMyc1 gene transcription level. TaMyc1c has the lowest contribution ( ca . 16%), whereas the others two transcripts contribute equally ( ca . 42%) to total TaMyc1 expression level. The role of the tree mRNA isoforms transcribed in one tissue is discussed. 24 Exploiting the Rht portfolio for hybrid wheat breeding Plant height is an important trait in wheat line breeding, but is of even greater importance in hybrid wheat breeding. Here, the height of the female and male parental lines must be controlled and adjusted relative to each other to maximize hybrid seed production. In addition, the height of the resulting hybrids must be fine-tuned to meet the specific requirements of the farmers in the target regions. Moreover, this must be achieved without adversely impacting traits relevant for hybrid seed production. In this study, we explored Reduced height ( Rht ) loci effective in elite wheat and exploited their utilization for hybrid wheat breeding. We performed association mapping in a panel of 1705 wheat hybrids and their 225 parental lines, which besides the Rht - B1 and Rht - D1 loci revealed Rht24 as a major QTL for plant height. Furthermore, we found that the Rht - 1 loci also reduce anther extrusion and thus cross-pollination ability, whereas Rht24 appeared to have no adverse effect on this trait. Our results suggest different haplotypes of the three Rht loci to be used in the female or male pool of a hybrid breeding program, but also show that in general, plant height is a quantitative trait controlled by numerous small-effect QTL. Consequently, marker-assisted selection for the major Rht loci must be complemented by phenotypic selection to achieve the desired height in the female and male parents as well as in the wheat hybrids. 25 Molecular Cytogenetic Characterization of New Wheat¡ª Dasypyrum breviaristatum Introgression Lines for Improving Grain Quality of Wheat As an important relative of wheat ( Triticum aestivum L), Dasypyrum breviaristatum contains novel high molecular weight glutenin subunits (HMW-GSs) encoded by Glu-1Vb genes. We identified new wheat¡ª D. breviaristatum chromosome introgression lines including chromosomes 1Vb and 1VbL.5VbL by fluorescence in situ hybridization (FISH) combined with molecular markers. We found that chromosome changes occurred in the wheat¡ª D. breviaristatum introgression lines and particularly induced the deletion of 5BS terminal repeats and formation of a new type of 5B-7B reciprocal translocation. The results imply that the D. breviaristatum chromosome 1Vb may contain genes which induce chromosomal recombination in wheat background. Ten putative high molecular weight glutenin subunit (HMW-GS) genes from D. breviaristatum and wheat¡ª D. breviaristatum introgression lines were isolated. The lengths of the HMW-GS genes in Dasypyrum were significantly shorter than typical HMW-GS of common wheat. A new y-type HMW-GS gene, named Glu-Vb1y , was characterized in wheat¡ª D. breviaristatum 1Vb introgression lines. The new wheat¡ª D. breviaristatum germplasm displayed reduced plant height, increased tillers and superior grain protein and gluten contents, improved gluten performance index. The results showed considerable potential for utilization of D. breviaristatum chromosome 1Vb segments in future wheat improvement. 26 Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images The results demonstrate high success rate (higher than 90%) between the algorithm counts and the manual (image-based) ear counts, and precision, with a low standard deviation (around 5%). The relationships between algorithm ear counts and grain yield was also significant and greater than the correlation with manual (field-based) ear counts. In this approach, results demonstrate that automatic ear counting performed on data captured around anthesis correlated better with grain yield than with images captured at later stages when the low performance of ear counting at late grain filling stages was associated with the loss of contrast between canopy and ears. 27 Dynamics of Floret Initiation/Death Determining Spike Fertility in Wheat as Affected by Ppd Genes under Field Conditions As wheat yield is linearly related to grain number, understanding the physiological determinants of the number of fertile florets based on floret development dynamics due to the role of the particular genes is relevant. The effects of photoperiod genes on dynamics of floret development are largely ignored. Field experiments were carried out to (i) characterize the dynamics of floret primordia initiation and degeneration and (ii) to determine which are the most critical traits of such dynamics in establishing genotypic differences in the number of fertile florets at anthesis in near isogenic lines (NILs) carrying photoperiod insensitive alleles. Results varied in magnitude between the two growing seasons, but in general introgression of Ppd-1a alleles reduced the number of fertile florets. The actual effect was affected not only by the genome and the doses but also by the source of the alleles. Differences in the number of fertile florets were mainly explained by differences in the floret generation/degeneration dynamics and in most cases associated with floret survival. Manipulating photoperiod insensitivity, unquestionably useful for changing flowering time, may reduce spike fertility but much less than proportionally to the change in duration of development, as the insensitivity alleles did increase the rate of floret development. 28 Rht18 Semi-Dwarfism in Wheat is Due to Increased Expression of GA 2-oxidaseA9 and Lower GA Content Semi-dwarfing genes have contributed to major yield increases in crop species by reducing height, improving lodging resistance, and partitioning more assimilates to grain growth. In wheat, the Rht18 semi-dwarfing gene was identified and deployed in durum wheat before it was transferred into bread wheat where it was shown to have agronomic potential. Rht18, a dominant and gibberellin (GA) responsive mutant, is genetically and functionally distinct from the widely used GA insensitive semi-dwarfing genes Rht-B1b and Rht-D1b. In this study, the Rht18 gene was identified by mutagenizing the semi-dwarf durum cultivar Icaro (Rht18) and generating mutants with a range of tall phenotypes. Isolating and sequencing chromosome 6A of these 'overgrowth' mutants showed that they contained independent mutations in the coding region of GA2oxA9, a gene predicted to encode a GA 2-oxidase that metabolises GA biosynthetic intermediates into inactive products, thereby lowering the amount of bioactive GA (GA1). Functional analysis of the GA2oxA9 protein demonstrated conversion of the intermediate GA12 to the inactive metabolite GA110. Analysis of transcript abundance and GA content showed that the expression of GA 2-oxA9 was higher, and the GA content lower, in Rht18 compared with its tall parent. These data indicate that the increased expression of GA2oxA9 in Rht18 results in a reduction of both bioactive GA content and plant height. This study describes a height reducing mechanism that can generate new genetic diversity for semi-dwarfism in wheat by combining increased expression with mutations of specific amino acid residues in the GA2oxA9 gene. 29 Photosynthetic and ascorbate-glutathione metabolism in the flag leaves as compared to spikes under drought stress of winter wheat (Triticum aestivum L.). Ascorbate-glutathione (ASA-GSH) cycle is a major pathway of H2O2 scavenging and an effective mechanism of detoxification in plants. The differences in photosynthesis, chlorophyll content (Chl), relative water content (RWC), antioxidants and antioxidative enzyme activities involved in ASA-GSH metabolism were measured between the flag leaves and spike bracts (glumes and lemmas) during grain filling under drought stress. The expression of APX1, GRC1, DHAR, MDHAR, GPX1, and GS3 in ASA-GSH cycle was also measured. Compared with the flag leaves, the spike bracts exhibited stable net photosynthetic rate (PN) and chlorophyll content (Chl), a lower accumulation of reactive oxygen species (ROS), and more enhanced percentages of antioxidant enzyme activities and key enzymes gene transcription levels involved in ASA-GSH metabolism during the grain-filling stage under drought conditions. This could be the reasonable explanation for the more stable photosynthetic capacity in spikes, and the glumes and lemmas senesced later than the flag leaves at the late grain-filling stage. Also, the function of ASA-GSH cycle could not be ignored in alleviating oxidative damage by scavenging more excess ROS in spikes under drought stress. 30 Proteomic analysis of melatonin-mediated osmotic tolerance by improving energy metabolism and autophagy in wheat (Triticum aestivum L.). Melatonin is known to play multiple roles in plant abiotic stress tolerance. However, its role in wheat has been rarely investigated. In this study, 25% polyethylene glycol 6000 (PEG 6000) was used to simulate osmotic stress, and wheat seeds and seedlings were treated with different concentrations of melatonin under PEG stress. Isobaric tag for relative and absolute quantification (iTRAQ)-based proteomic techniques were used to identify the differentially accumulated proteins from melatonin-treated and non-treated seedlings. Seeding priming with melatonin significantly increased the germination rate, coleoptile length, and primary root number of wheat under PEG stress, as well as the fresh weight, dry weight, and water content of wheat seedlings. Under PEG stress, melatonin significantly improved reactive oxygen species homeostasis, as revealed by lower H2O2 and O 2 ¡¤ content; and the expression of antioxidant enzymes at the transcription and translation levels was increased. Melatonin maintained seedling growth by improving photosynthetic rates and instantaneous and intrinsic water use efficiencies, as well as carbon fixation and starch synthesis at the protein level. Melatonin treatment significantly affected the expression of glycolytic proteins, including fructose-1,6-bisphosphate aldolase, hexokinase, glyceraldehyde-3-phosphate dehydrogenase, and enolase, and remarkably increased the expression of the nicotinamide adenine dinucleotide transporter and nicotinamide adenine dinucleotide binding protein, thereby indirectly modulating electron transport in the respiratory chain. This indicated that melatonin improved energy production in PEG-stressed seedlings. Further, melatonin played a regulatory role in autophagy, protease expression, and ubiquitin-mediated protein degradation by significantly upregulating rab-related protein, fused signal recognition particle receptor, aspartyl protease, serine protease, ubiquitin-fold modifier 1, and ubiquitin at the mRNA or protein level. These findings suggested that melatonin might activate a metabolic cascade related to autophagy under PEG stress in wheat seedlings. 31 Analysis of the functions of TaGW2 homoeologs in wheat grain weight and protein content traits GW2 is emerging as a key genetic determinant of grain weight in cereal crops, and has three homoeologs (TaGW2-A1, -B1 and -D1) in hexaploid common wheat (Triticum aestivum L.). Here, by analyzing the gene editing mutants lacking one (B1 or D1), two (B1 and D1) or all three (A1, B1 and D1) homoeologs of TaGW2, several insights are gained into the functions of TaGW2-B1 and -D1 in common wheat grain traits. First, both TaGW2-B1 and -D1 affect thousand grain weight (TGW) through influencing grain width and length, but the effect conferred by TaGW2-B1 is stronger than that by TaGW2-D1. Second, there exists functional interaction between TaGW2 homoeologs because the TGW increase shown by a double mutant (lacking B1 and D1) was substantially larger than that by their single mutants. Third, both TaGW2-B1 and -D1 modulate cell number and length in the outer pericarp of developing grains, with TaGW2-B1 being more potent. Finally, TaGW2 homoeologs also affect grain protein content (GPC) as this parameter was generally increased in the mutants, especially in the lines lacking two or three homoeologs. Consistent with this finding, two wheat end-use quality related parameters, flour protein content and gluten strength, were considerably elevated in the mutants. Collectively, our data shed light on functional difference and additive interaction of TaGW2 homoeologs in the genetic control of grain weight and protein content traits in common wheat, which may accelerate further research on this important gene and its application in wheat improvement. This article is protected by copyright. All rights reserved. 32 Dynamics of Leaf and Spikelet Primordia Initiation in Wheat as Affected by Ppd-1a Alleles under Field Conditions Wheat adaptation is affected by Ppd genes, but the role of these alleles on the rates of leaf and spikelet initiation has not been properly analysed. Twelve near isogenic lines (NILs) combining Ppd-1a alleles from different donors introgressed in A, B and/or D genomes were tested under field conditions during two growing seasons together with the wild type, Paragon. Leaf initiation rate was unaffected by Ppd-1a alleles so final leaf number (FLN) was reduced in parallel with reductions in the duration of vegetative phase. Spikelet primordia initiation was accelerated and consequently the effect on spikelets per spike was less than proportional to the effect on the duration of spikelet initiation. The magnitude of these effects on spikelet-plastochron depended on the doses of Ppd-1 homoeoalleles and the specific insensitivity alleles carried. Double ridge was consistently later than floral initiation but the difference between them was not affected by Ppd-1a alleles. These findings open potential for selecting best combinations from the Ppd-1 homoeoallelic series for manipulating adaptation considering particular effects on spikelet number. 33 Molecular Mapping of Fusarium Head Blight Resistance in the Spring Wheat Line ND2710. ND2710 is a hard red spring wheat line with a very high level of resistance to Fusarium head blight (FHB). It was selected from the progeny of a cross between ND2603 (an advanced breeding line derived from the Sumai 3/Wheaton cross) and Grandin (a spring wheat cultivar). The FHB resistance of ND2710 is presumably derived from Sumai 3 since the other parents Grandin and Wheaton are very susceptible to FHB. To identify and map the quantitative trait loci (QTL) for FHB resistance in ND2710, we developed a mapping population consisting of 233 recombinant inbred lines (RILs) from the cross between ND2710 and the spring wheat cultivar 'Bobwhite'. These RILs along with their parents and checks were evaluated for reactions to FHB in three greenhouse experiments and one field experiment during 2013 to 2014. The population was also genotyped with the wheat 90K SNP iSelect assay, and a genetic linkage map was developed with 1373 non-co-segregating SNP markers, which were distributed on all 21 wheat chromosomes spanning 914.98 cM of genetic distance. Genetic analyses using both phenotypic and genotypic data identified one major QTL (Qfhb.ndwp-3B) on the short arm of chromosome 3B, explaining up to 20% of the phenotypic variation in all experiments, and three minor QTL (Qfhb.ndwp-6B, Qfhb.ndwp-2A, and Qfhb.ndwp-6A) on 6B, 2A, and 6A, respectively. The three minor QTL explained 5 to 12% phenotypic variation in at least two experiments, except for Qfhb.ndwp-2A, which was only detected in the field experiment. Qfhb.ndwp-3B and Qfhb.ndwp-6B were mapped to the genomic regions containing Fhb1 and Fhb2, respectively, confirming that they were originated from Sumai 3. The additive effect of the major and minor QTL may contribute to the high level of FHB resistance in ND2710. The SNP markers closely linked to the FHB resistance QTL will be useful for marker-assisted selection of FHB resistance in wheat breeding programs. 34 Characterization of an Integrated Active Glu-1Ay Allele in Common Wheat from Wild Emmer and Its Potential Role in Flour Improvement. Glu-1Ay , one of six genes encoding a high molecular weight glutenin subunit (HMW-GS), is frequently silenced in hexaploid common wheat. Here, an active allele of Glu-1Ay was integrated from wild emmer wheat ( Triticum turgidum ssp. dicoccoides ) accession D97 into the common wheat ( Triticum aestivum ) cultivar Chuannong 16 via the repeated self-fertilization of the pentaploid interspecific hybrid, culminating in the selection of a line TaAy7-40 shown to express the wild emmer Glu-1Ay allele. The open reading frame of this allele was a 1830 bp long sequence, demonstrated by its heterologous expression in Escherichia coli to encode a 608-residue polypeptide. Its nucleotide sequence was 99.2% identical to that of the sequence within the wild emmer parent. The TaAy7-40 introgression line containing the active Glu-1Ay allele showed higher protein content, higher sodium dodecyl sulfate (SDS) sedimentation value, higher content of wet gluten in the flour, higher grain weight, and bigger grain size than Chuannong 16. The end-use quality parameters of the TaAy7-40 were superior to those of the medium gluten common wheat cultivars Mianmai 37 and Neimai 9. Thus, the active Glu-1Ay allele might be of potential value in breeding programs designed to improve wheat flour quality. 35 Systematic analysis of the lysine malonylome in common wheat In total, 342 lysine malonylated sites were identified in 233 proteins. Bioinformatics analysis showed that the frequency of arginine (R) in position + 1 was highest, and a modification motif, KmaR, was identified. The malonylated proteins were located in multiple subcellular compartments, especially in the cytosol (45%) and chloroplast (30%). The identified proteins were found to be involved in diverse pathways, such as carbon metabolism, the Calvin cycle, and the biosynthesis of amino acids, suggesting an important role for lysine malonylation in these processes. Protein interaction network analysis revealed eight highly interconnected clusters of malonylated proteins, and 137 malonylated proteins were mapped to the protein network database. Moreover, five proteins were simultaneously modified by lysine malonylation, acetylation and succinylation, suggesting that these three PTMs may coordinately regulate the function of many proteins in common wheat. 36 Genome-Wide Identification and Characterization of Long Non-Coding RNA in Wheat Roots in Response to Ca2+ Channel Blocker It remains unclear whether plant lncRNAs are responsive to Ca2+-channel blocking. When using the Ca2+-channel blocker, LaCl3, to treat germinated wheat seeds for 24 h, we found that both root length and mitosis were inhibited in the LaCl3-treated groups. The effect of the Ca2+-channel blocker was verified in three ways: a cytdecrease detected using Fluo-3/AM staining, a decrease in the Ca content measured using inductively coupled plasma mass spectrometry, and an inhibition of Ca2+influx detected using Non-invasive Micro-test Technology. Genome-wide high throughput RNA-seq and bioinformatical methods were used to identify lncRNAs, and found 177 differentially expressed lncRNAs that might be in responsive to Ca2+-channel blocking. Among these, 108 were up-regulated and 69 were down-regulated. The validity of identified lncRNAs data from RNA-seq was verified using qPCR. GO and KEGG analysis indicated that a number of lncRNAs might be involved in diverse biological processes upon Ca2+-channel blocking. Further GO analysis showed that 23 lncRNAs might play roles as transcription factor (TF); Moreover, eight lncRNAs might participate in cell cycle regulation, and their relative expressions were detected using qPCR. This study also provides diverse data on wheat lncRNAs that can deepen our understanding of the function and regulatory mechanism of Ca2+-channel blocking in plants. 36 First report of Fusarium pseudograminearum causing crown rot of wheat in Europe
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mashengwei 2018-3-19 09:18
3/ 18 ±¾ÆÚ×÷ÕߣºRui ÉϴαÊÕß½áºÏ Phytopathology ÉÏһƪ¹ØÓÚ Fhb1 gene £¨ PFT £©µÄÎÄÕÂÔÙ´Î°Ñ PFT µÄÕùÒéÊáÀíÁËһϣ¬ºóÀ´´ó¼ÒµÄÌÖÂÛÒ²ºÜÈÈÁÒ£¬ÖйúÅ©Òµ¿ÆѧԺ×÷Îï¿ÆѧÑо¿ËùµÄÖìÕ¹ÍûÀÏʦҲ°ÑËûÃÇ×îÐÂÔÚ×÷Îïѧ±¨ÉϵÄÎÄÕ·¢¸øÁËС±à¡£ÆäʵÕâÒ²ËãÊÇС±àµÄÊèʧ£¬ÕâƪÎÄÕÂÈ¥ÄêÄêµ×ÔÚÍøÉϾͿÉÒÔ²éÔÄÁË¡£ ¡° Ä¿Ç°ÎÒ¹úСÂó³àù²¡Äê¾ù·¢ÉúÃæ»ý³¬¹ý 533.3 Íò¹«Çê £¬ÆäÖÐ 2012 ¡¢ 2015 ºÍ 2016 ÄêÓÈΪÑÏÖØ¡£½­ËÕÊ¡ 2012¡ª2015 Äê¾ù·¢ÉúÃæ»ýÔ¼ 120 Íò¹«Ç꣬³¬¹ý¸ÃʡСÂóÖÖÖ²Ãæ»ýµÄ 50% £»ºÓÄÏÊ¡ 2012 Äê·¢Éú×îΪÑÏÖØ£¬·¢²¡Ãæ»ý´ï 339.7 Íò¹«Ç꣬ 2016 Äê´ÎÖ®£¬Îª 174.0 Íò¹«Çê ¡£ ¸Ð²¡×ÑÁ£º¬Õæ¾ú¶¾ËØÈçÍÑÑõÑ©¸¯Á­µ¶¾úÏ©´¼ (deoxynivalenol, DON) £¬ ²»½öΣº¦ÈËÐ󽡿µ£¬ »¹ÑÏÖØÓ°ÏìʳÓúÍËÇÓüÛÖµ ¡£ ¡± ¶ÁÍêÕâ¶ÎÎÄÖжԳàù²¡µÄ½éÉÜ£¬¾Í¿ÉÒÔÀí½âÎÒÃÇΪʲôÕâô¹Ø×¢³àù²¡£¬ÎªÊ²Ã´Õâô¹Ø×¢ PFT ¡£ ½ñÌìÍÆËÍÕâƪÎÄÕµÄÔ­ÒòÊÇËü²»½ö½öÊÇ¶Ô PFT ×öÁËÑéÖ¤£¬¸ü¹Ø¼üµÄÊǶÔÁíÍâÒ»¸ö Fhb1 λµãµÄºòÑ¡»ùÒò His ×öÁËÑéÖ¤£¬¶øÇÒÌá³öÁ˷dz£ÖØÒªµÄ½áÂÛ¡£ ÎÄÕÂÕªÒª£º Ñо¿Í¨¹ý·ÖÎö229·ÝСÂóÆ·ÖÖ(ϵ) Fhb1Çø¶ÎÄÚPFT (pore-forming toxin-like)¡¢HC (HCBT-like defense response protein)ºÍ His (histidine-rich calcium-binding protein)»ùÒòµÄ¶àÑùÐÔÓë³àù²¡¿¹ÐԵĹØϵ£¬·¢ÏÖPFT-I/His-IΪ¿¹²¡µ¥±¶ÐÍ¡£ »ùÒò¼ì²âºÍϵÆ×·ÖÎö±íÃ÷£¬ÖйúСÂóÆ·ÖÖËùº¬Fhb1ÖÁÉÙÓÐ2¸öÀ´Ô´£¬·Ö±ðΪËÕÂó3ºÅºÍÄþÂó9ºÅ£¬²¢ÒÔºóÕßΪÖ÷¡£ ±¾Ñо¿¿ª·¢µÄÕï¶ÏÐÔ±ê¼ÇPFT-CAPSºÍHis-InDel¿ÉÓÐЧÓÃÓÚFhb1µÄ·Ö×Ó±ê¼Ç¸¨ÖúÓýÖÖ¡£ Ê×ÏÈÕâƪÎÄÕÂÖÐ¶Ô PFT µÄÑéÖ¤½á¹û»ù±¾ºÍÎÒÃÇÉϴνéÉܵļ¸¸öÑо¿ÊÇÒ»ÑùµÄ£¬¼´º¬ÓÐ PFT µÄÆ·ÖÖ²»Ò»¶¨ÊÇ¿¹²¡µÄ£º×ۺϲâÐòºÍPFT-CAPS±ê¼Ç¼ì²â½á¹û±íÃ÷£¬ÔÚ229·ÝÆ·ÖÖ(ϵ)ÖÐÓÐ24·ÝÓëËÕÂó3ºÅÐòÁÐÏàͬ£¬ÎªPFT-I»ùÒòÐÍ£¬35·ÝΪPFT-II»ùÒòÐÍ£¨¸Ð²¡ÐÍ£©£¬ÆäÓà170·ÝΪPFT-III»ùÒòÐÍ( ¸Ð²¡ÐÍ )¡£ Î÷Å©9871ºÍСÙÈ22µÈ¸ß¸Ð³àù²¡Æ·ÖÖҲΪPFT-I»ùÒòÐÍ£¬±íÃ÷µ¥¶ÀPFT-CAPS²»ÄÜ×÷ΪFhb1µÄÕï¶ÏÐÔ±ê¼Ç¡£ È»ºóÎÄÕÂÓÖ¶Ô His gene×öÁËÑéÖ¤£¬¹ØÓÚÕâ¸ö His gene£¬ ÎÒÃÇÔÚ 2 Ô 7 ºÅÍÆË͹ýһƪ¹ú¼ÒСÂó²úÒµ¼¼ÊõÌåϵËù׫дµÄ 2017ÄêСÂó³àù²¡¿¹ÐÔÒÅ´«×ÊÔ´Óë»ùÒò¶¨Î»Ñо¿½øÕ¹ £¬ÆäÖÐÀïÃæÌáµ½£º ÃÀ¹ú¿°Èø˹ÖÝÁ¢´óѧµÄ°Ø¹ó»ª½ÌÊÚÔòÈÏΪ PFT ×ùλ²àÒíµÄ His »ùÒò£¨ histidine-rich calcium-binding protein £¬ÓÖÃû His »ùÒò»òÕß TaHRC £©ÊÇ Fhb1 µÄºòÑ¡»ùÒò£¬ËûÃÇͨ¹ý¶Ô¹ã·ºÊÕ¼¯µÄ¿¹ÐÔ×ÊÔ´ÐòÁзÖÎö£¬·¢ÏÖ¿¹ÐÔ²ÄÁÏÖÐµÄ His »ùÒòÆÕ±é´æÔÚ 750bp µÄȱʧ£¬²¢·¢ÏÖ·¢Éú His »ùÒòȱʧµÄÖÖÖʽö·Ö²¼ÓÚÖйú»ªÄϵØÇøºÍÈÕ±¾µÄһЩ²ÄÁÏÖС£°Ø¹ó»ª½ÌÊÚÍŶӽøÒ»²½²ÉÓà RNA ¸ÉÈźͻùÒò±à¼­ÊµÑé֤ʵ His »ùÒòÊÇ Fhb1 µÄ¿¹ÐÔ»ùÒò¡£ ÖìÀÏʦÕâƪÎÄÕÂÀûÓà His3B-4 ¶ÔÉÏÊö²ÄÁ쵀 His »ùÒò²âÐò£¬·¢ÏÖ 3 ÖÖµÈλ»ùÒò£¬·Ö±ð¼ÇΪ His-I (1309 bp) ¡¢ His-II (2061bp) ºÍ His-III (2061 bp) £¬ÆäÖÐ His-I ÆðʼÃÜÂë×Ó¸½½üÓÐ 752 bp Õû¶Îȱʧ£¬ His-III ½Ï His-II ÓÐ 4 ¸ö SNP ±äÒì (ÏÂͼ ) ¡£ËÕÂó 3 ºÅºÍÄþ 7840 µÈ 6 ¸öÆ·ÖÖΪ His-I ÐÍ£¬ Î÷Å© 9871 ºÍСÙÈ 22 µÈ 17 ¸öÆ·ÖÖ ( ϵ ) Ϊ His-II ÐÍ£¬ÑÌ 2415 Ϊ His-III ÐÍ ( ±í 3) ¡£ His λµãÄÜÇø·ÖËÕÂó 3 ºÅºÍÎ÷Å© 9871 µÈ¸Ð²¡Æ·ÖÖ£¬¿ÉÓÃÓÚÕï¶ÏÐÔ±ê¼Ç¿ª·¢¡£ ×îºó£¬ÎÄÕ½«ÉÏÊöÁ½¸ögene¹ØÁªÆðÀ´ÑéÖ¤Óë±íÐ͵ĹØϵ£¬ PFT-I ¼ÇΪ PFT(+) £¬ÆäËûµÈλ»ùÒò¼ÇΪ PFT(-) £»½« His-I ¼ÇΪ His(+) £¬ÆäËûµÈλ»ùÒò¼ÇΪ His(-) ¡£ÔÚ 229 ·ÝÆ·ÖÖ ( ϵ ) ÖУ¬ÓÐ 6 ·ÝΪº¬ Fhb1 µÄ PFT(+)/His(+) ÀàÐÍ£¬Æäƽ¾ù²¡ÇéÖ¸ÊýΪ 29.9 £» 18 ·ÝΪ PFT(+)/His(-) ÀàÐÍ£¬ Æäƽ¾ù²¡ÇéÖ¸ÊýΪ 61.8 £¬ÓëÇ°Õß²îÒ켫ÏÔÖø (P 0.001) £»ÓÐ 205 ·ÝΪ PFT(-)/His(-) ÀàÐÍ£¬ Æäƽ¾ù²¡ÇéÖ¸ÊýΪ 60.2 £¬Óë PFT(+)/His(-) ²îÒì²»ÏÔÖø (P = 0.73) £» δ·¢ÏÖ PFT(-)/His(+) ÀàÐÍÆ·ÖÖ ( ͼ 5) ¡£ \0 µ½Õ⣬¹ÊÊÂòËƺÜÇå³þÁË¡£ÄǾÍÊÇ His ±È PFT ¸üÓÐЧ¡£ÎÄÕÂÖÐûÓиø³öµ¥¶À±È½Ï PFT (+) ºÍ PFT (-) Á½ÖÖ»ùÒòÐ͵ĶԱȣ¬Ò²Ðí PFT »ùÒòÔÚÕâ¸ö²âÊÔȺÌåÖиù±¾¾Í²»·¢»Ó×÷Ó᣿ÉϧµÄÊÇ£¬¾ÝÎÒÃÇȺÀïС»ï°é¸æÖª£¬°ØÀÏʦµÄÎÄÕÂÆäʵºÜ¾ÃºÜ¾ÃÒÔÇ°¾ÍͶ³öÈ¥ÁË£¬¿ÉÊdzٳٵȲ»µ½±à¼­µÄÏûÏ¢¡£¸ù¾ÝС±àµÃµ½µÄÊ®·ÖÓÐÏÞµÄÏûÏ¢£¨Æäʵ¾ÍÊÇÎÒ×Ô¼ºÏ¹²Â£©£¬°ØÀÏʦµÄÎÄÕÂÒ²ÊÇͼλ¿Ë¡£¬µ«µÃµ½µÄ»ùÒò¾ÍÊÇ His £¬ÍêȫûÓÐ PFT µÄÓ°×Ó¡£¡£¡£Èç¹ûÕæÊÇÕâÖÖÇé¿ö£¬¾Í²»ÄÑÀí½âΪʲô°ØÀÏʦµÄÎÄÕºÜÄÑ·¢±íÁË¡£ ËùÒÔ£¬¹ÊÊÂÔÙ´ÎÆËË·ÃÔÀëÆðÀ´£¬ ÏÖÔÚ¶Ô²»Í¬µÄÑо¿µÃµ½µÄ²»Í¬½á¹ûΨһµÄ½âÊ;ÍÊÇËùÓõIJÄÁϲ»Ò»Ñù£ºÓÉÓÚ²ÄÁϱ³¾°²»Ò»Ñù£¬ËùÒÔ·¢»Ó¿¹²¡µÄ»ùÒòÒ²²»Ò»Ñù£¬µ«·Ç³£ÇɺϵÄÊÇ£¬ÕâÁ½¸ö gene ÓÖ½ôÃܵÄÁ¬ËøÓÚͬһ¸öλµã¡£¡£¡£ ÆäʵÕâÒ²ÊÇ FHB ¿¹²¡¸´ÔÓÐԵĿ͹۱íÏÖ£º Fhb1 locus²»½ö¸ú»·¾³»¥×÷ºÜ´ó£¬ÊǶà»ùÒò¿ØÖÆ¿¹ÐÔÒ²ÊǺÜÓпÉÄܵġ£ ºÃÁË£¬¹ØÓÚPFTºÍHis£¬Ð¡±à¾Íµ½´Ë½áÊøÁË£¬ÒÔºó³ý·ÇÓÐеĴó·¢ÏÖ£¬·ñÔòÎÒÃǾÍÏȵ½Õâ°É£¬Ð¡ÂóÑо¿Õâ¸ö´ó¿Ó£¨±¦²Ø£©²»½öÐèÒªÎÒÃǵÄÖǻۺÍÓÂÆø£¬¸üÐèÒªÎÒÃÇÓÐÒ»¿ÅƽºÍµÄÄÍÐÄ¡£ ½ÓÏÂÀ´½ñÌìµÚ¶þƪÎÄÕ»òÐíÄÜÌṩһЩ½Ç¶ÈÀ´Àí½â FHB ¿¹ÐԵĸ´ÔÓÐÔ¡£ÕâƪÎÄÕÂÊÇһƪת¼×éµÄÎÄÕ£¬Ð¡±à×î³õ¿´µ½ÌâÄ¿ÒÔΪÕâ 3B É쵀 140kbÒ² ÊÇ Fhb1 locus ÄØ£¬¿É×Ðϸһ¶Á²Å·¢ÏÖÕâ 140kb ¸ú Fhb1 ÊDz»Ò»ÑùµÄλµã¡£¾ßÌåÄܲ»ÄÜ°ÑÕâ¸öλµãµÄÐÅÏ¢¸ú Fhb1 locus ½áºÏÆðÀ´¿¼ÂÇ£¬Ð¡±àÄ¿Ç°»¹Ã»µÃ³ö½áÂÛ£¬ÓÐÐËȤµÄС»ï°é¿ÉÒÔÔĶÁÒ»ÏÂÕâƪÎÄÕ£¬ÓÈÆäÊÇ×¼±¸×ö²¡Àíת¼×éͬѧ¿ÉÒԲο¼ÏÂÕâƪÎÄÕµÄ˼· ¡£ ÐÂλµã FhbL693b £ºInformation regarding pedigree, inheritance, resistance response, chromosomal location, and marker diagnosis indicated that Qfhs-3B was different from Fhb1 : it behaved as a single Mendelian factor and was given the gene symbol FhbL693b . ÎÄÕµÄÖ÷Òª½áÂÛ£º We identified an island of 53 constitutive DEGs in a 140 kb region with high homology to the FhbL693b region on chromosome 3B. Of these genes, 13 were assigned to specific chloroplast-related pathways. Furthermore, one gene encoded inositol monophosphate ( IMPa ) and two genes encoded ribulose-1,5-bisphosphate carboxylase/oxygenase ( RuBisCO ). Our findings suggest that the temporary susceptibility in locally infected spikes results from the cross-talk between RuBisCO and IMPa , which blocks secondary signaling pathways mediated by salicylic acid and induces a systemic acquired resistance in the distant leaf tissue. ÎÄÕµÄÁÁµã£º ×÷ÕßÈÏΪ FHB ¿¹ÐÔÖ÷ÒªÊÇϵͳ»ñµÃÐÔ¿¹ÐÔ£¨ÎҼǵÃÂíÕýÇ¿ÀÏʦÄÇƪ×ÛÊöÖÐÒ²ÓÐÏà¹Ø SA ½éµ¼¿¹ÐÔµÄÄÚÈÝ£©£¬ËùÒÔËûÃÇÈÏΪ×ö FHB µÄת¼×é·ÖÎö£¬Ò¶Æ¬ÖÐµÄ gene ±í´ïÒ²·Ç³£ÖØÒª£¬¶ø²»ÄÜÖ»¾ÖÏÞÓÚ·ÖÎö²¡¾úÇÖȾµÄË벿£º Gene expression changes in distant tissues of plants infected by pathogens, such as the leaves of wheat plants infected by F. graminearum , have not been documented. As FHB resistance mainly results from the systemic acquired resistance induced by infection of the pathogen , we propose that the strongly induced gene expression observed in the leaf may play an important role in FHB resistance. »¶Ó­¹Ø×¢ ¡° СÂóÑо¿ÁªÃË ¡±£¬ Á˽âСÂóнøÕ¹ Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·¢²¼µÈÇëÁªÏµ£º wheatgenome
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mashengwei 2018-3-17 10:09
\0 2018ÄêµÚ11ÖÜСÂóÎÄÏ×ÍƼö£¨3.17£© 3/ 17 ±¾ÆÚ×÷ÕߣºÂóÃÈ ½ñÌìÒ»ÔçÔÚÅóÓÑȦ¿´µ½ÓÐÈË·¢ÁËÒ»ÕÅÐã¶÷°®½Øͼ£¬ÎÒÄøøÅÖѾ¿´¡£ÅÖѾ²»Ð¼µÄ˵£¬ÕⶼÊǶàÀϵĶÎ×ÓÁË£¬»¹ÄÃÀ´Ðã¡£ ºÃ°É£¬»°Ëµµ½Õâ·ÝÉÏ£¬ÎÒÖ»ÄÜתÉíÀ뿪ÁË¡£ Hi£¬´ó¼ÒºÃ!ÎÒÊÇÂóÃÈ£¬ÖÜÄ©Óä¿ì£¡´ó¼ÒµÄ»ù½ð¶¼ÒѾ­½»ÁË°É¡£Ê¹ÓÃÏÂÃæµÄÍøÕ¾¿ÉÒÔËÑË÷¹«ÖÚºÅÀïµÄÎÄÕ£¬ÖØÒªµÄÊÇ»¹¿ÉÒÔÖ¸¶¨ÒªËÑË÷µÄ¹«Öںţ¬ËùÒԸϽôÊÔÒ»ÊÔ°É¡£http://search.xmt.cn/#/wxsearch¡£ ÏÖÔÚ¾ÍÈÃÎÒÃÇÀ´Å̵ãϹýÈ¥Ò»ÖÜÓëСÂóÓйصÄÎÄÏ׸üС£ 1 Genetic Diversity and Population Structure of F3:6 Nebraska Winter Wheat Genotypes Using Genotyping-By-Sequencing https://doi.org/10.3389/fgene.2018.00076 The availability of information on the genetic diversity and population structure in wheat ( Triticum aestivum L.) breeding lines will help wheat breeders to better use their genetic resources and manage genetic variation in their breeding program. The recent advances in sequencing technology provide the opportunity to identify tens or hundreds of thousands of single nucleotide polymorphism (SNPs) in large genome species (e.g., wheat). These SNPs can be utilized for understanding genetic diversity and performing genome wide association studies (GWAS) for complex traits. In this study, the genetic diversity and population structure were investigated in a set of 230 genotypes (F3:6) derived from various crosses as a prerequisite for GWAS and genomic selection. Genotyping-by-sequencing provided 25,566 high-quality SNPs. The polymorphism information content (PIC) across chromosomes ranged from 0.09 to 0.37 with an average of 0.23. The distribution of SNPs markers on the 21 chromosomes ranged from 319 on chromosome 3D to 2,370 on chromosome 3B. The analysis of population structure revealed three subpopulations (G1, G2, and G3). Analysis of molecular variance identified 8% variance among and 92% within subpopulations. Of the three subpopulations, G2 had the highest level of genetic diversity based on three genetic diversity indices: Shannon¡¯s information index ( I ) = 0.494, diversity index ( h ) = 0.328 and unbiased diversity index (uh) = 0.331, while G3 had lowest level of genetic diversity ( I = 0.348, h = 0.226 and uh = 0.236). This high genetic diversity identified among the subpopulations can be used to develop new wheat cultivars. 2 Plant and Floret Growth at Distinct Developmental Stages During the Stem Elongation Phase in Wheat https://doi.org/10.3389/fpls.2018.00330 Floret development is critical for grain setting in wheat ( Triticum aestivum ), but more than 50% of grain yield potential (based on the maximum number of floret primordia) is lost during the stem elongation phase (SEP, from the terminal spikelet stage to anthesis). Dynamic plant (e.g., leaf area, plant height) and floret (e.g., anther and ovary size) growth and its connection with grain yield traits (e.g., grain number and width) are not clearly understood. In this study, for the first time, we dissected the SEP into seven stages to investigate plant (first experiment) and floret (second experiment) growth in greenhouse- and field-grown wheat. In the first experiment, the values of various plant growth trait indices at different stages were generally consistent between field and greenhouse and were independent of the environment. However, at specific stages, some traits significantly differed between the two environments. In the second experiment, phenotypic and genotypic similarity analysis revealed that grain number and size corresponded closely to ovary size at anthesis, suggesting that ovary size is strongly associated with grain number and size. Moreover, principal component analysis (PCA) showed that the top six principal components PCs explained 99.13, 98.61, 98.41, 98.35, and 97.93% of the total phenotypic variation at the green anther, yellow anther, tipping, heading, and anthesis stages, respectively. The cumulative variance explained by the first PC decreased with floret growth, with the highest value detected at the green anther stage (88.8%) and the lowest at the anthesis (50.09%). Finally, ovary size at anthesis was greater in wheat accessions with early release years than in accessions with late release years, and anther/ovary size shared closer connections with grain number/size traits at the late vs. early stages of floral development. Our findings shed light on the dynamic changes in plant and floret growth-related traits in wheat and the effects of the environment on these traits. 3 Utilization of a Wheat55K SNP Array for Mapping of Major QTL for Temporal Expression of the Tiller Number https://doi.org/10.3389/fpls.2018.00333 Maximum tiller number and productive tiller number are important traits for wheat grain yield, but research involving the temporal expression of tiller number at different quantitative trait loci (QTL) levels is limited. In the present study, a population set of 371 recombined inbred lines derived from a cross between Chuan-Nong18 and T1208 was used to construct a high-density genetic map using a Wheat55K SNP Array and to perform dynamic QTL analysis of the tiller number at four growth stages. A high-density genetic map containing 11,583 SNP markers and 59 SSR markers that spanned 4,513.95 cM and was distributed across 21 wheat chromosomes was constructed. A total of 28 single environmental QTL were identified in the recombined inbred lines population, and among these, seven QTL were stable and used for multi-environmental and dynamic analysis. These QTL were mapped to chromosomes 2D, 4A, 4D, 5A, 5D, and 7D, respectively. Each QTL explained 1.63¨C21.22% of the observed phenotypic variation, with an additive effect from -20.51 to 11.59. Dynamic analysis showed that cqTN-2D.2 can be detected at four growth stages of tillering, explaining 4.92¨C17.16% of the observed phenotypic variations and spanning 13.71 Mb ( AX-109283238-AX-110544009 : 82189047-95895626) according to the physical location of the flanking markers. The effects of the stable QTL were validated in the recombined inbred lines population, and the beneficial alleles could be utilized in future marker-assisted selection. Several candidate genes for MTN and PTN were predicted. The results provide a better understanding of the QTL selectively expressing the control of tiller number and will facilitate future map-based cloning. 9.17% SNP markers showed best hits to the Chinese Spring contigs. It was indicated that Wheat55K Array was efficient and valid to construct a high-density wheat genetic map. 4 The Role of Hydrogen Peroxide in Mediating the Mechanical Wounding-Induced Freezing Tolerance in Wheat https://doi.org/10.3389/fpls.2018.00327 Systemic wound response (SWR), a well-characterized systemic signaling response, plays crucial roles in plant defense responses. Progress in understanding of the SWR in abiotic stress has also been aided by the researchers. However, the function of SWR in freezing stress remains elusive. In this study, we showed that local mild mechanical wounding enhanced freezing tolerance in newly occurred systemic leaves of wheat plants ( Triticum aestivum L.). Wounding significantly increased the maximal photochemical efficiency of photosystem II, net photosynthetic rate, and the activities of the antioxidant enzymes under freezing stress. Wounding also alleviated freezing-induced chlorophyll decomposition, electrolyte leakage, water lose, and membrane peroxidation. In addition, wounding-induced freezing stress mitigation was closely associated with the ratio between reduced glutathione (GSH) and oxidized glutathione (GSSG), and the ratio between ascorbate (AsA) and dehydroascorbate (DHA), as well as the contents of total soluble sugars and free amino acids. Importantly, pharmacological study showed that wounding-induced freezing tolerance was substantially arrested by pretreatment of wheat leaves with the scavenger of hydrogen peroxide (H2O2) or the inhibitor of NADPH oxidase (RBOH). These results support the hypothesis that local mechanical wounding-induced SWR in newly occurred leaves is largely attributed to RBOH-dependent H2O2production, which may subsequently induce freezing tolerance in wheat plants. This mechanism may have a potential application to reduce the yield losses of wheat under late spring freezing conditions. 5 Identification and Characterization of Wheat Yellow Striate Virus, a Novel Leafhopper-Transmitted Nucleorhabdovirus Infecting Wheat https://doi.org/10.3389/fmicb.2018.00468 A new wheat viral disease was found in China. Bullet-shaped viral particles within the nucleus of the infected wheat leave cells, which possessed 180¨C210 nm length and 35¨C40 nm width, were observed under transmission electron microscopy. A putative wheat-infecting rhabdovirus vectored by the leafhopper Psammotettix alienus was identified and tentatively named wheat yellow striate virus (WYSV). The full-length nucleotide sequence of WYSV was determined using transcriptome sequencing and RACE analysis of both wheat samples and leafhoppers P. alienus . The negative-sense RNA genome of WYSV contains 14,486 nucleotides (nt) and seven open reading frames (ORFs) encode deduced proteins in the order N-P-P3-M-P6-G-L on the antisense strand. In addition, WYSV genome has a 76-nt 3¡ä leader RNA and a 258-nt 5¡ä trailer, and the ORFs are separated by conserved intergenic sequences. The entire genome sequence shares 58.1 and 57.7% nucleotide sequence identity with two strains of rice yellow stunt virus (RYSV-A and RYSV-B) genomes, respectively. The highest amino acid sequence identity was 63.8% between the L proteins of the WYSV and RYSV-B, but the lowest was 29.5% between the P6 proteins of these viruses. Phylogenetic analysis firmly established WYSV as a new member of the genus Nucleorhabdovirus . Collectively, this study provided evidence that WYSV is likely the first nucleorhabdovirus described infecting wheat via leafhopper P. alienus transmission. 6 Genetic dissection of interactions between wheat flour starch and its components in two populations using two QTL mapping methods https://doi.org/10.1007/s11032-018-0797-y Starch content and its components are important for determining wheat end-use quality and yield. However, little information is available about their interactions at the QTL/gene level in more than one population using different QTL mapping methods. Therefore, to dissect these interactions, two mapping populations from two locations over 2 years were used. The QTLs for the populations were analyzed by unconditional and conditional QTL mapping by two different analysis methods. In the two populations, there were a total of 24 unconditional additive QTLs detected for flour amylose (FAMS), flour amylopectin (FAMP), flour total starch (FTSC), and the ratio of FAMS to FAMP using ICIMapping4.1 methods, but 26 unconditional QTLs were found using QTLNetwork2.0 methods. Of these QTLs, 10 stable major additive QTLs were identified in more than one environment, mainly distributed on chromosomes 3B, 4A, 5A, and 7D. The maximum percentage of phenotypic variance explained (PVE) reached 54.31%. Two new unconditional major additive QTLs on chromosome 3B ( Qftsc3B and Qfamp3B ) were found. A total of 23 and 19 conditional additive QTLs were identified in the two populations using two different methods, respectively. Of which, eight and six stable major conditional QTLs were detected on chromosomes 3B, 4A, and 7D, respectively. New repressed QTLs were identified, such as Qftsc / fams5B-1 and Qftsc/fams5B-2 . There were 20 epistatic unconditional and 15 conditional QTLs detected. In all, important QTLs on chromosomes 3B, 4A, and 7A were found in both populations. However, the number of important QTLs in the special recombinant inbred line (RIL) population was higher than that in the double haploid (DH) population, especially on chromosomes 7D and 5B. Moreover, the QTLs on chromosomes 4A, 7A, and 7D were close to the Wx-1 loci in the RIL population. These indicated better results can be obtained by a special population to target traits than by a common population. The important QTLs on key chromosomes can always be detected no matter what kinds of populations are used, such as the QTLs on chromosome 4A. In addition, QTL clusters were found on chromosomes 4A, 3B, 7A, 7D, and 5A in the two populations, indicating these chromosome regions were very important for starch biosynthesis. 7 Zinc-biofortified seeds improved seedling growth under zinc deficiency and drought stress in durum wheat 10.1002/jpln.201800014 High zinc (Zn) concentration of seeds has beneficial effects both on seed vigor and human nutrition. This study investigated the effect of Zn biofortification on growth of young durum wheat ( Triticum durum cv. Yelken) seedlings under varied Zn and water supply. The seeds differing in Zn concentrations were obtained by spraying ZnSO4 to durum wheat plants at different rates under field conditions. Three groups of seeds were obtained with the following Zn concentrations: 9, 20, and 50 mg Zn kg−1. The seeds differing in Zn were tested for germination rate, seedling height, shoot dry matter production, and shoot Zn concentration under limited and well irrigated conditions in a Zn-deficient soil with and without Zn application. In an additional experiment carried out in solution culture, root and shoot growth and superoxide dismutase activity (SOD) of seedlings were studied under low and adequate Zn supply. Low seed Zn concentration resulted in significant decreases in seedling height both in Zn-deficient and sufficient soil, but more clearly under water-limited soil condition. Decrease in seed germination due to low seed Zn was also more evident under limited water supply. Increasing seed Zn concentration significantly restored impairments in seedling development. Drought-induced decrease in seedling growth at a given seed Zn concentration was much higher when soil was Zn-deficient. Increasing seed Zn concentration also significantly improved SOD activity in seedlings grown under low Zn supply, but not under adequate Zn supply. The results suggest that using Zn-biofortified seeds assures better seed vigor and seedling growth, particularly when Zn and water are limited in the growth medium. The role of a higher antioxidative potential ( i.e ., higher SOD activity) is discussed as a possible major factor in better germination and development of seedlings resulting from Zn-biofortified seeds. 8 QTL mapping for seedling morphology under drought stress in wheat cross synthetic (W7984)/Opata https://doi.org/10.1017/S1479262118000023 Drought stress ¡®particularly at seedling stage¡¯ causes morpho-physiological differences in wheat which are crucial for its survival and adaptability. In the present study, 209 recombinant inbred lines (RILs) from synthetic wheat (W7984)¡Á ¡®Opata¡¯ (also known as SynOpRIL) population were investigated under well-watered and water-limited conditions to identify quantitative trait loci (QTL) for morphological traits at seedling stage. Analysis of variance revealed significant differences (P 0.01) among RILs, and water treatments for all traits with moderate to high broad sense heritability. Pearson's coefficient of correlation revealed positive correlation among all traits except dry root weight that showed poor correlation with fresh shoot weight (FSW) under water-limited conditions. A high-density linkage map was constructed with 2639 genotyping-by-sequencing markers and covering 5047 cM with an average marker density of 2 markers/cM. Composite interval mapping identified 16 QTL distributed over nine chromosomes, of which six were identified under well-watered and 10 in water-limited conditions. These QTL explained from 4 to 59% of the phenotypic variance. Six QTL were identified on chromosome 7B; three for shoot length under water-limited conditions (QSL.nust-7B) at 64, 104 and 221 cM, two for fresh root weight (QFRW.nust-7B) at 124 and 128 cM, and one for root length (QRL.nust-7B) at 122 cM positions. QFSW.nust-7B appeared to be the most significant QTL explaining 59% of the phenotypic variance and also associated with FSW at well-watered conditions. These QTL could serve as target regions for candidate gene discovery and marker-assisted selection in wheat breeding. 9 The wheat multidomain cystatin TaMDC1 displays antifungal, antibacterial, and insecticidal activities in planta Cystatins are the polypeptides with cysteine proteinase inhibitory activities. Plant cystatins or phytocystatins are known to contribute to plant resistance against insect pests. Recently, increasing data proved that some of the phytocystatins also have antifungal activities in vitro. Here, we functionally characterized a wheat multidomain cystatin, TaMDC1, using in planta assays. Expression of TaMDC1 in wheat seedlings is up-regulated in response to methyl jasmonate and salicylic acid, indicating that TaMDC1 is involved in biotic stress responses mediated by these plant hormones. The TaMDC1 cDNA was integrated in tomato genome and expressed under cauliflower mosaic virus 35S promoter. Four transgenic plants that show high level of the transgene expression were selected by RNA gel blot and immunoblot analysis and utilized to assess biotic stress resistance against the bacterial pathogen Pseudomonas syringae , the fungal pathogens Botrytis cinerea and Alternaria alternata , and the insect pest Colorado potato beetle (CPB, Leptinotarsa decemlineata ). Detached leaf inoculation assays revealed that the tomato plants expressing TaMDC1 showed high levels of resistance against P. syringae and A. alternata , and elevated tolerance against B. cinerea . Sustenance of L. decemlineata larvae to the transgenic plants demonstrated inhibition of CPB larvae growth. Inhibitory activity of TaMDC1 against selected pathogens was also demonstrated by in vitro assays with total protein extracted from transgenic tomato plants. Taken together, the presented data suggest that TaMDC1 is involved in a broad spectrum biotic stress resistance in planta. 10 Identification and validation of a major chromosome region for high grain number per spike under meiotic stage water stress in wheat ( Triticum aestivum L.) https://doi.org/10.1371/journal.pone.0194075 Grain number is a major trait for wheat yield under dryland farming. An International Triticeae Mapping Initiative (ITMI) mapping population comprising 105 recombinant inbred lines (RIL) developed from a cross between a Synthetic hexaploid wheat ( Triticum aestivum ) ¡®W7984¡¯ and a spring wheat variety ¡®Opata M85¡¯ was used to identify quantitative trait loci (QTL) associated with grain number per spike under two treatment conditions, normal watering and water stress during meiosis. Two major QTL for grain number per spike on the main stem Q . Gnu . uwa-5A-1 and Q . Gnu . uwa-5A-2 with phenotypic variations of 25.71% and 24.93%, respectively, were detected on the long arm of chromosome 5A when plants were exposed to water stress during meiosis. One QTL ( Q . Gnu . uwa-2A ) with a LOD score of 2.8 was detected on the long arm of chromosome 2A under normal watering condition. The alleles associated with higher grain number per spike under different treatment conditions came from the Synthetic W7984 parent. Two populations developed from crosses Synthetic W7984 ¡Á Lang and Synthetic W7984 ¡Á Westonia were used to validate the identified QTL under water stress during meiosis. SSR markers Xbarc230 and Xbarc319 linked with the identified QTL on chromosome 5AL were validated in the two F2:4 segregating populations. These closely linked SSR markers could potentially be utilized in marker-assisted selection to reduce yield loss in regions where water stress during meiosis occurs frequently. The identified QTL can be incorporated into elite lines / cultivars to improve wheat grain yield. 11 The impacts of phosphorus deficiency on the photosynthetic electron transport chain https://doi.org/10.1104/pp.17.01624 Phosphorus (P) is an essential macronutrient, and P deficiency limits plant productivity. Recent work showed that P deficiency affects electron transport to photosystem I (PSI), but the underlying mechanisms are unknown. Here, we present a comprehensive biological model describing how P deficiency disrupts the photosynthetic machinery and the electron transport chain through a series of sequential events in barley (Hordeum vulgare). Phosphorus deficiency reduces the orthophosphate (Pi) concentration in the chloroplast stroma to levels that inhibit ATP synthase activity. Consequently, protons accumulate in the thylakoids and cause lumen acidification, which inhibits linear electron flow. Limited plastoquinol (PQH2) oxidation retards electron transport to the cytochrome (Cyt) b6f complex, yet the electron transfer rate of PSI is increased under steady-state growth light and is limited under high light conditions. Under P deficiency, the enhanced electron flow through PSI increases the levels of NADPH, whereas ATP production remains restricted and hence reduces CO2 fixation. In parallel, lumen acidification activates the qE component of the non-photochemical quenching (NPQ) mechanism and prevents over-excitation of photosystem II (PSII) and damage to the leaf tissue. Consequently, plants can be severely affected by P deficiency for weeks without displaying any visual leaf symptoms. All of the processes in the photosynthetic machinery influenced by P deficiency appear to be fully reversible and can be restored in less than 60 min after resupply of Pi to the leaf tissue. 12 Differential Expression Profiling of Microspores During the Early Stages of Isolated Microspore Culture Using the Responsive Barley Cultivar Gobernadora https://doi.org/10.1534/g3.118.200208 In barley, it is possible to induce embryogenesis in the haploid and uninucleate microspore to obtain a diploid plant that is perfectly homozygous. To change developmental fates in this fashion, microspores need to engage in cellular de-differentiation, interrupting the pollen formation, and restore totipotency prior to engaging in embryogenesis. In this work, we used the barley cultivar Gobernadora to characterize the transcriptome of microspores prior to (day 0) and immediately after (days 2 and 5) the application of a stress pretreatment. A deep RNA-seq analysis revealed that microspores at these three time points exhibit a transcriptome of ~14k genes, ~90% of which were shared. An expression analysis identified a total of 3,382 differentially expressed genes (DEGs); of these, 2,155 and 2,281 DEGs were respectively identified when contrasting expression at days 0 and 2 and at days 2 and 5. These define 8 expression profiles in which DEGs share a common up- or down-regulation at these time points. Up-regulation of numerous glutathione S-transferase and heat shock protein genes as well as down-regulation of ribosomal subunit protein genes was observed between days 0 and 2. The transition from microspores to developing embryos (days 2 vs 5) was marked by the induction of transcription factor genes known to play important roles in early embryogenesis, numerous genes involved in hormone biosynthesis and plant hormonal signal transduction in addition to genes involved in secondary metabolism. This work sheds light on transcriptional changes accompanying an important developmental shift and provides candidate biomarkers for embryogenesis in barley. 13 Targeted resequencing reveals genomic signatures of barley domestication DOI: 10.1111/nph.15077 Barley ( Hordeum vulgare ) is an established model to study domestication of the Fertile Crescent cereals. Recent molecular data suggested that domesticated barley genomes consist of the ancestral blocks descending from multiple wild barley populations. However, the relationship between the mosaic ancestry patterns and the process of domestication itself remained unclear. To address this knowledge gap, we identified candidate domestication genes using selection scans based on targeted resequencing of 433 wild and domesticated barley accessions. We conducted phylogenetic, population structure, and ancestry analyses to investigate the origin of the domesticated barley haplotypes separately at the neutral and candidate domestication loci. We discovered multiple selective sweeps that occurred on all barley chromosomes during domestication in the background of several ancestral wild populations. The ancestry analyses demonstrated that, although the ancestral blocks of the domesticated barley genomes were descended from all over the Fertile Crescent, the candidate domestication loci originated specifically in its eastern and western parts. These findings provided the first molecular evidence implicating multiple wild or protodomesticated lineages in the process of barley domestication initiated in the Levantine and Zagros clusters of the origin of agriculture. 14 Transcriptome Analysis of a Premature Leaf Senescence Mutant of Common Wheat ( Triticum aestivum L.) https://doi.org/10.3390/ijms19030782 Leaf senescence is an important agronomic trait that affects both crop yield and quality. In this study, we characterized a premature leaf senescence mutant of wheat ( Triticum aestivum L.) obtained by ethylmethane sulfonate (EMS) mutagenesis, named m68 . Genetic analysis showed that the leaf senescence phenotype of m68 is controlled by a single recessive nuclear gene. We compared the transcriptome of wheat leaves between the wild type (WT) and the m68 mutant at four time points. Differentially expressed gene (DEG) analysis revealed many genes that were closely related to senescence genes. Gene Ontology (GO) enrichment analysis suggested that transcription factors and protein transport genes might function in the beginning of leaf senescence, while genes that were associated with chlorophyll and carbon metabolism might function in the later stage. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the genes that are involved in plant hormone signal transduction were significantly enriched. Through expression pattern clustering of DEGs, we identified 1012 genes that were induced during senescence, and we found that the WRKY family and zinc finger transcription factors might be more important than other transcription factors in the early stage of leaf senescence. These results will not only support further gene cloning and functional analysis of m68 , but also facilitate the study of leaf senescence in wheat. 15 Transcriptome Analysis Identifies a 140 kb Region of Chromosome 3B Containing Genes Specific to Fusarium Head Blight Resistance in Wheat https://doi.org/10.3390/ijms19030852 Fusarium head blight (FHB), mainly caused by Fusarium graminearum , is one of the most destructive fungal diseases of wheat ( Triticum aestivum L.). Because of the quantitative nature of FHB resistance, its mechanism is poorly understood. We conducted a comparative transcriptome analysis to identify genes that are differentially expressed in FHB-resistant and FHB-susceptible wheat lines grown under field conditions for various periods after F. graminearum infection and determined the chromosomal distribution of the differentially expressed genes (DEGs). For each line, the expression in the spike (which exhibits symptoms in the infected plants) was compared with that in the flag leaves (which do not exhibit symptoms in the infected plants). We identified an island of 53 constitutive DEGs in a 140 kb region with high homology to the FhbL693b region on chromosome 3B. Of these genes, 13 were assigned to specific chloroplast-related pathways. Furthermore, one gene encoded inositol monophosphate (IMPa) and two genes encoded ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO). Our findings suggest that the temporary susceptibility in locally infected spikes results from the cross-talk between RuBisCO and IMPa, which blocks secondary signaling pathways mediated by salicylic acid and induces a systemic acquired resistance in the distant leaf tissue. 16 Effects of water deficit on breadmaking quality and storage protein compositions in bread wheat (Triticum aestivum L.) DOI: 10.1002/jsfa.8968 Water deficiency produced a shorten grain-filling period and a decrease in grain number, grain weight and grain yield, a reduced starch granule; increased protein content and glutenin macropolymer contents, resulting in superior dough properties and breadmaking quality. Reversed-phase ultra-performance liquid chromatography analysis showed that the total gliadin and glutenin content as well as the accumulation of individual composition were significantly increased by water deficiency. Two-dimensional gel electrophoresis detected 144 individual storage protein spots with significant accumulation changes in developing grains under water deficit. The comparative proteomics analysis revealed that water deficiency resulted in significant upregulation of 12 gliadins, 12 HMW-GSs, and 46 LMW-GSs. Quantitative real-time polymerase chain reaction analysis revealed that the expression of two storage protein biosynthesis related transcription factors Dof and Spa was upregulated by water deficiency. \0 \0 »¶Ó­¹Ø×¢ ¡° СÂóÑо¿ÁªÃË ¡±, Á˽âСÂóнøÕ¹ Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·Ö²¼µÈÇëÁªÏµ£º wheatgenome
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mashengwei 2018-3-15 23:53
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mashengwei 2018-3-15 08:48
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mashengwei 2018-3-14 08:19
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mashengwei 2018-3-13 08:32
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The growing demand on its production can be satisfied by improving yield and resistance to biotic and abiotic stress. Knowledge of the genome sequence would aid in discovering genes and QTLs underlying these traits and provide a basis for genomics-assisted breeding. Physical maps and BAC clones associated with them have been valuable resources from which to generate a reference genome of bread wheat and to assist map-based gene cloning. As a part of a joint effort coordinated by the International Wheat Genome Sequencing Consortium, we have constructed a BAC-based physical map of bread wheat chromosome arm 7DS consisting of 895 contigs and covering 94% of its estimated length. By anchoring BAC contigs to one radiation hybrid map and three high resolution genetic maps, we assigned 73% of the assembly to a distinct genomic position. This map integration, interconnecting a total of 1,713 markers with ordered and sequenced BAC clones from a minimal tiling path, provides a tool to speed up gene cloning in wheat. The process of physical map assembly included the integration of the 7DS physical map with a whole-genome physical map of Aegilops tauschii and a 7DS Bionano genome map, which together enabled efficient scaffolding of physical-map contigs, even in the non-recombining region of the genetic centromere. Moreover, this approach facilitated a comparison of bread wheat and its ancestor at BAC-contig level and revealed a reconstructed region in the 7DS pericentromere. 2 Transcriptome reprogramming due to the introduction of a barley telosome into bread wheat affects more barley genes than wheat Despite a long history, the production of useful alien introgression lines in wheat remains difficult mainly due to linkage drag and incomplete genetic compensation. In addition, little is known about the molecular mechanisms underlying the impact of foreign chromatin on plant phenotype. Here, a comparison of the transcriptomes of barley, wheat and a wheat barley 7HL addition line allowed the transcriptional impact both on 7HL genes of a non-native genetic background, and on the wheat gene complement as a result of the presence of 7HL to be assessed. Some 42% (389/923) of the 7HL genes assayed were differentially transcribed, which was the case for only 3% (960/35,301) of the wheat gene complement. The absence of any transcript in the addition line of a suite of chromosome 7A genes implied the presence of a 36 Mbp deletion at the distal end of the 7AL arm; this deletion was found to be in common across the full set of Chinese Spring/Betzes barley addition lines. The remaining differentially transcribed wheat genes were distributed across the whole genome. The up-regulated barley genes were mostly located in the proximal part of the 7HL arm, while the down-regulated ones were concentrated in the distal part; as a result, genes encoding basal cellular functions tended to be transcribed, while those encoding specific functions were suppressed. An insight has been gained into gene transcription in an alien introgression line, thereby providing a basis for understanding the interactions between wheat and exotic genes in introgression materials. 3 Zinc and Iron Concentration as Affected by Nitrogen Fertilization and Their Localization in Wheat Grain Nearly half of the world cereal production comes from soils low or marginal in plant available zinc, leading to unsustainable and poor quality grain production. Therefore, the effects of nitrogen (N) rate and application time on zinc (Zn) and iron (Fe) concentration in wheat grain were investigated. Wheat ( Triticum aestivum var. Krabat) was grown in a growth chamber with 8 and 16 h of day and night periods, respectively. The N rates were 29, 43, and 57 mg N kg-1 soil, equivalent to 80, 120, and 160 kg N ha-1. Zinc and Fe were applied at 10 mg kg-1 growth media. In one of the N treatments, additional Zn and Fe through foliar spray (6 mg of Zn or Fe in 10 ml water/pot) was applied. Micro-analytical localization of Zn and Fe within grain was performed using scanning macro-X-ray fluorescence (MA-XRF) and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS). The following data were obtained: grain and straw yield pot-1, 1000 grains weight, number of grains pot-1, whole grain protein content, concentration of Zn and Fe in the grains. Grain yield increased from 80 to 120 kg N ha-1 rates only and decreased at 160 kg N ha-1 g. Relatively higher protein content and Zn and Fe concentration in the grain were recorded with the split N application of 160 kg N ha-1. Soil and foliar supply of Zn and Fe (Zn + Fes+f), with a single application of 120 kg N ha-1N at sowing, increased the concentration of Zn by 46% and of Fe by 35%, as compared to their growth media application only. Line scans of freshly cut areas of sliced grains showed co-localization of Zn and Fe within germ, crease and aleurone. We thus conclude that split application of N at 160 kg ha-1 at sowing and stem elongation, in combination with soil and foliar application of Zn and Fe, can be a good agricultural practice to enhance protein content and the Zn and Fe concentration in grain. 5 Genetic Dissection of End-Use Quality Traits in Adapted Soft White Winter Wheat Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations. 6 Expression of TpNRAMP5, a metal transporter from Polish wheat ( Triticum polonicum L.), enhances the accumulation of Cd, Co and Mn in transgenic Arabidopsis plants Numerous natural resistance-associated macrophage proteins (NRAMPs) have been functionally identified in various plant species, including Arabidopsis , rice, soybean and tobacco, but no information is available on NRAMP genes in wheat. In this study, we isolated a TpNRAMP5 from dwarf Polish wheat (DPW, Triticum polonicum L.), a species with high tolerance to Cd and Zn. Expression pattern analysis revealed that TpNRAMP5 is mainly expressed in roots and basal stems of DPW. TpNRAMP5 was localized at the plasma membrane of Arabidopsis leaf protoplast. Expression of TpNRAMP5 in yeast significantly increased yeast sensitivity to Cd and Co, but not Zn, and enhanced Cd and Co concentrations. Expression of TpNRAMP5 in Arabidopsis significantly increased Cd, Co and Mn concentrations in roots, shoots and whole plants, but had no effect on Fe and Zn concentrations. These results indicate that TpNRAMP5 is a metal transporter enhancing the accumulation of Cd, Co and Mn, but not Zn and Fe. Genetic manipulation of TpNRAMP5 can be applied in the future to limit the transfer of Cd from soil to wheat grains, thereby protecting human health. 7 Molecular profiling of a y-type high molecular weight glutenin subunit at Glu-D1 locus from a North Korean landrace wheat ( Triticum aestivum L.) The objective of this study is to demonstrate characteristics of a y-type high molecular weight glutenin subunit (D1y HMW-GS) at Glu-D1 found in IT212991, a North Korean landrace wheat compared to Dy12 and Dy12.K as a novel HMW-GS in JB20, a Korean wheat line onto molecular analyses as PCR, cloning, DNA sequencing, and RP-HPLC and proteomic analyses as sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS¨CPAGE), two-dimensional electrophoresis (2-DE), Fourier-transform mass spectrometry (LTQ-FT-MS). The D1y of IT212991 was identified to have faster electrophoretic mobility than that of Dy12 by SDS¨CPAGE. HMW-GS components of IT212991 were identified to be different from Chinese Spring (CS) and JB20, a Korean wheat line by RP-HPLC. The result of mass spectrometric analysis, the D1y of IT212991 (68510.8 Da) was similar to that of Dy12.K of JB20 (68514.4 Da), and lower than Dy12 of CS (69151.2 Da). The result of LTQ-FT-MS based on 2-DE, the D1y of IT212991 was identified to be similar with Dy12 corresponding to the protein function as ¡®Glutenin, high molecular weight subunit 12¡¯. The D1y encoding the D1y of IT212991 was identified to consist of 652 amino acid sequences corresponding to 1962 bp according to DNA sequencing. The gene was identified to have a insertion and deletion (InDel) corresponding to 18 bp sequences ¡®AACAGGACAAGGGCAACA¡¯ compared to ordinary Dy12 gene. It was demonstrated that the D1y of IT212991 is the same as Dy12.K. 8 Responses of seminal wheat seedling roots to soil water deficits The aims of this paper are to develop our understanding of the ways by which soil water deficits influence early wheat root growth responses, particularly how seminal roots respond to soil drying and the extent to which information on differences in soil water content are conveyed to the shoot and their impact on shoot behaviour. To achieve this, wheat seedlings have been grown, individually for around 25 days after germination in segmented soil columns within vertical plastic compartments. Roots were exposed to different soil volumetric moisture contents (SVMC) within the two compartments. Experiments where the soil in the lower compartment was allowed to dry to different extents, while the upper was maintained close to field capacity, showed that wheat seedlings allocated proportionally more root dry matter to the lower drier soil compartment. The total production of root, irrespective of the upper or lower SVMC, was similar and there were no detected effects on leaf growth rate or gas exchange. The response of seminal roots to proportionally increase their allocation of dry matter, to the drier soil was unexpected with such plasticity of roots system development traditionally linked to heterogeneous nutrient distribution than accessing soil water. In experiments where the upper soil compartment was allowed to dry, root growth slowed and leaf growth and gas exchange declined. Subsequent experiments used root growth rates to determine when seminal root tips first came into contact with drying soil, with the intentions of determining how the observed root growth rates were maintained as an explanation for the observed changes in root allocation. Measurements of seminal root ABA and ethylene from roots within the drying soil are interpreted with respect to what is known about the physiological control of root growth in drying soil. 9 A wheat gene TaSAP17-D encoding an AN1/AN1 zinc finger protein improves salt stress tolerance in transgenic Arabidopsis The stress-associated protein (SAP) multigene family is conserved in both animals and plants. Its function in some animals and plants are known, but it is yet to be deciphered in wheat ( Triticum aestivum L.). We identified the wheat gene TaSAP17-D, a member of the SAP gene family with an AN1/AN1 conserved domain. Subcellular localization indicated that TaSAP17-D localized to the nucleus, cytoplasm, and cell membrane. Expression pattern analyses revealed that TaSAP17-D was highly expressed in seedlings and was involved in NaCl response, polyethylene glycol (PEG), cold, and exogenous abscisic acid (ABA). Constitutive expression of TaSAP17-D in transgenic Arabidopsis resulted in enhanced tolerance to salt stress, confirmed by improved multiple physiological indices and significantly upregulated marker genes related to salt stress response. Our results suggest that TaSAP17-D is a candidate gene that can be used to protect crop plants from salt stress. 10 Light interception and radiation use efficiency response to tridimensional uniform sowing in winter wheat improving radiation use efficiency (RUE) of the canopy is necessary to increase wheat ( Triticum aestivum ) production. Tridimensional uniform sowing (U) technology has previously been used to construct a uniformly distributed population structure that increases RUE. In this study, we used tridimensional uniform sowing to create a wheat canopy within which light was spread evenly to increase RUE. This study was done during 2014¨C2016 in the Shunyi District, Beijing, China. The soil type was sandy loam. Wheat was grown in two sowing patterns: (1) tridimensional uniform sowing (U); (2) conventional drilling (D). Four planting densities were used: 1.8, 2.7, 3.6, and 4.5 million plants ha−1. Several indices were measured to compare the wheat canopies: photosynthetic active radiation intercepted by the canopy (IPAR), leaf area index (LAI), leaf mass per unit area (LMA), canopy extinction coefficient (K), and RUE. In two sowing patterns, the K values decreased with increasing planting density, but the K values of U were lower than that of D. LMA and IPAR were higher for U than for D, whereas LAI was nearly the same for both sowing patterns. IPAR and LAI increased with increasing density under the same sowing pattern. However, the difference in IPAR and LAI between the 3.6 and 4.5 million plants ha−1 treatments was not significant for both sowing patterns. Therefore, LAI within the same planting density was not affected by sowing pattern. RUE was the largest for the U mode with a planting density of 3.6 million plants ha−1 treatment. For the D sowing pattern, the lowest planting density (1.8 million plants ha−1) resulted in the highest yield. Light radiation interception was minimal for the D mode with a planting density of 1.8 million plants ha−1 treatment, but the highest RUE and highest yield were observed under this condition. For the U sowing pattern, IPAR increased with increasing planting density, but yield and RUE were the highest with a planting density of 3.6 million plants ha−1. These results indicated that the optimal planting density for improving the canopy light environment differed between the sowing patterns. The effect of sowing pattern¡Áplanting density interaction on grain yield, yield components, RUE, IPAR, and LMA was significant ( P 0.05). Correlation analysis indicated that there is a positive significant correlation between grain yield and RUE ( r =0.880, P 0.01), LMA ( r =0.613, P 0.05), and spike number ( r =0.624, P 0.05). These results demonstrated that the tridimensional uniform sowing technique, particularly at a planting density of 3.6 million plants ha−1, can effectively increase light interception and utilization and unit leaf area. This leads to the production of more photosynthetic products that in turn lead to significantly increased spike number ( P 0.05), kernel number, grain weight, and an overall increase in yield. 11 Evaluating the Profitability of Foliar Fungicide Programs in Mid-Atlantic Soft-Red Winter Wheat Production In mid-Atlantic soft-red winter wheat (SRWW) production, the standard timing for a fungicide application is between flag leaf emergence (Feekes growth stage 8) and heading (FGS 10.5). However, two-pass and anthesis (FGS 10.5.1) applications are becoming common, yet these programs have not been thoroughly evaluated for disease control, yield, and profitability. Experiments were conducted in the mid-Atlantic in 2015 and 2016 to evaluate fungicide programs with applications at FGS 8, FGS 10.5.1, and two-pass programs with an early application at green-up (FGS 5) followed by (FB) applications at either FGS 8 or FGS 10.5.1. Fungicide programs including an application at FGS 10.5.1 resulted in the highest probability of no disease on the flag leaf (0.29-0.40). The estimated mean yield increases (D ̅) relative to the non-treated check ranged from 253.65 to 634.16 kg ha-1. Using a grain price of 5 bu-1), probabilities were similar between applications at FGS 8 (0.49 to 0.56) and FGS 10.5.1 (0.53). The probability of profitability ranged from 0.48 to 0.57 for FGS 5 FB FGS 8 applications and 0.52 to 0.59 for FGS 5 FB FGS 10.5.1 applications, indicating limited benefit to two-pass programs. 12 Epigenetic perspectives on the evolution and domestication of polyploid plant and crops Polyploidy or whole genome duplication (WGD) is a prominent feature for genome evolution of some animals and all flowering plants, including many important crops such as wheat, cotton, and canola. In autopolyploids, genome duplication often perturbs dosage regulation on biological networks. In allopolyploids, interspecific hybridization could induce genetic and epigenetic changes, the effects of which could be amplified by genome doubling (ploidy changes). Albeit the importance of genetic changes, some epigenetic changes can be stabilized and transmitted as epialleles into the progeny, which are subject to natural selection, adaptation, and domestication. Here we review recent advances for general and specific roles of epigenetic changes in the evolution of flowering plants and domestication of agricultural crops. 13 Wheat stripe rust resistance gene Yr24/Yr26 : A retrospective review The objective of this review is to describe events in China and elsewhere that are related to the discovery, genetic identification, use, and ultimate break-down of a single wheat gene for resistance to stripe rust, namely Yr24/Yr26 . In our retrospective analysis there was an early assumption of at least three genes at or near the locus, which caused an erroneous presumption of genetic diversity for resistance. It is an example of another boom and bust cycle in plant breeding with races virulent to Yr26 (V26 races) now being the majority race group in the Chinese Pst population. We have attempted to present our story in a historical and personal context demonstrating research inputs from different national and international groups, as well as some significant contemporary side issues. It covers the period from the late 1980s to 2017, during which significant rapid advances in the molecular biology of host: pathogen genetics occurred. We attempt to describe both successes and drawbacks in our work. 14 Mapping a leaf senescence gene els1 by BSR-seq in common wheat Leaf senescence is normally the last stage of plant development. Early senescence of functional leaves significantly reduces the photosynthetic time and efficiency, seriously affecting grain yield and quality in wheat. Discovering genes responsible for early leaf senescence ( els ) are necessary for developing novel germplasms and cultivars with delayed leaf-senescence through molecular manipulation and marker assisted selection. In this study, we identified an early leaf senescence line M114 in a derivative of a wheat breeding population. Genetic analysis indicated that early leaf senescence in M114 is controlled by a single recessive gene, provisionally designated els1 . By applying bulked segregant analysis and RNA-Seq (BSR-Seq), seven polymorphic markers linked to els1 were developed and the gene was located on chromosome arm 2BS in a 1.5 cM genetic interval between markers WGGB303 and WGGB305 . A co-segregating marker, WGGB302 , provide a starting point for fine mapping and map-based cloning of els1 . 15 Effects of sulfur fertilization and short-term high temperature on wheat grain production and wheat flour proteins The content of wheat flour proteins affects the quality of wheat flour. Sulfur nutrition in wheat can change the protein content of the flour. The inconsistency and instability of wheat grain quality during grain filling under high temperature stress (HTS) are a major challenge to the production of high-quality wheat. The effects of sulfur fertilization and HTS on wheat flour protein and its components are unknown. In this study, treatments varying two factors: sulfur fertilization and exposure to short-term HTS, at 20 days post-anthesis, were applied to two wheat cultivars with differing gluten types. Plants of a strong-gluten wheat (Gaoyou 2018) and a medium-gluten wheat (Zhongmai 8) were grown in pots in Beijing in 2015¨C2017. HTS significantly increased the contents of total protein, albumin, gliadin, glutenin, Cys, and Met in wheat kernels, but reduced grain yield, grain weight, protein yield, globulin content, and total starch accumulation. The HTS-induced increase in total protein amount was closely associated with nitrate reductase (NR) and glutamine synthetase (GS) activities in flag leaves. Sulfur fertilization increased grain and protein yields; grain weight; total protein, albumin, gliadin, glutenin, and globulin contents; protein yield; total starch; Cys, Met; and NR and GS activities. HTS and sulfur fertilization had larger effects on the strong- than on the medium-gluten cultivar. Sulfur fertilization also alleviated the negative effects of HTS on grain yield, protein yield, and starch content. Thus, growing wheat with additional soil sulfur can improve the quality of the flour. 16 Low pH stress responsive transcriptome of seedling roots in wheat ( Triticum aestivum L.) Soil acidification is one of major problems limiting crop growth and especially becoming increasingly serious in China owing to excessive use of nitrogen fertilizer. Only the STOP1 of Arabidopsis was identified clearly sensitive to proton rhizotoxicity and the molecular mechanism for proton toxicity tolerance of plants is still poorly understood. The main objective of this study was to investigate the transcriptomic change in plants under the low pH stress. The low pH as a single factor was employed to induce the response of the wheat seedling roots. Wheat cDNA microarray was used to identify differentially expressed genes (DEGs). A total of 1057 DEGs were identified, of which 761 genes were up-regulated and 296 were down-regulated. The greater percentage of up-regulated genes involved in developmental processes, immune system processes, multi-organism processes, positive regulation of biological processes and metabolic processes of the biological processes. The more proportion of down-regulation genes belong to the molecular function category including transporter activity, antioxidant activity and molecular transducer activity and to the extracellular region of the cellular components category. Moreover, most genes among 41 genes involved in ion binding, 17 WAKY transcription factor genes and 17 genes related to transport activity were up-regulated. KEGG analysis showed that the jasmonate signal transduction and flavonoid biosynthesis might play important roles in response to the low pH stress in wheat seedling roots. Based on the data, it is can be deduced that WRKY transcription factors might play a critical role in the transcriptional regulation, and the alkalifying of the rhizosphere might be the earliest response process to low pH stress in wheat seedling roots. These results provide a basis to reveal the molecular mechanism of proton toxicity tolerance in plants. 17 High Relative Parasitic Fitness of G22 Derivatives is Associated with the Epidemic Potential of Wheat Stripe Rust in China In total, 13 commercial wheat cultivars around China and four races of Puccinia striiformis f. sp. tritici (namely, CYR32, CYR33, G22-9, and G22-14) were employed for a test of relative parasitic fitness (RPF) using the drop method. The RPF values were measured, including the urediniospore germination rate, the latent period, the uredinial length, the uredinial density, the infection area, the sporulation intensity, the lesion expansion speed, and the sporulation period. The results indicated that the parameters of relative parasitic fitness of the four P. striiformis f. sp. tritici races on the 13 wheat cultivars were significantly different ( P = 0.00) in sporulation intensity, lesion expansion speed, uredinial length, sporulation period, uredinial density, and latent period. The urediniospore germination rates of the four P. striiformis f. sp. tritici races for the test were significantly different ( P = 0.00), whereas no correlation with the different cultivars was observed ( P = 1.00). The infection areas of the tested races on the different cultivars were significantly different ( P = 0.00) but there were no obvious manifestations among the various races ( P = 0.20). Principal component analysis (PCA) showed that the sporulation intensity represented sporulation capacity and scalability, the latent period indicated infection ability, and the urediniospore germination rate represented urediniospore vigor, all of which fully contributed to the RPF in the interaction of the four races and 13 wheat cultivars, which was calculated by the following formula: RPF = (sporulation intensity ¡Á urediniospore germination rate)/latent period. The sporulation and infection of G22-9 on the 13 large-scale cultivated cultivars were the highest, and the RPF of G22-9 was higher than that of the predominant races, CYR32 and CYR33. This result suggested that G22-9 could become a new predominant race and potentially cause epidemics of wheat stripe rust in China. To prevent potential epidemics, susceptible wheat cultivars should be withdrawn from production and breeding programs should reduce the use of Yr10 and Yr26 and use other more effective resistance genes in combination with nonrace-specific resistance for developing wheat cultivars with durable resistance to stripe rust. 18 Genome-Wide Identification and Characterization of Long Non-Coding RNA in Wheat Roots in Response to Ca2+Channel Blocker It remains unclear whether plant lncRNAs are responsive to Ca2+-channel blocking. When using the Ca2+-channel blocker, LaCl3, to treat germinated wheat seeds for 24 h, we found that both root length and mitosis were inhibited in the LaCl3-treated groups. The effect of the Ca2+-channel blocker was verified in three ways: a cyt decrease detected using Fluo-3/AM staining, a decrease in the Ca content measured using inductively coupled plasma mass spectrometry, and an inhibition of Ca2+ influx detected using Non-invasive Micro-test Technology. Genome-wide high throughput RNA-seq and bioinformatical methods were used to identify lncRNAs, and found 177 differentially expressed lncRNAs that might be in responsive to Ca2+-channel blocking. Among these, 108 were up-regulated and 69 were down-regulated. The validity of identified lncRNAs data from RNA-seq was verified using qPCR. GO and KEGG analysis indicated that a number of lncRNAs might be involved in diverse biological processes upon Ca2+-channel blocking. Further GO analysis showed that 23 lncRNAs might play roles as transcription factor (TF); Moreover, eight lncRNAs might participate in cell cycle regulation, and their relative expressions were detected using qPCR. This study also provides diverse data on wheat lncRNAs that can deepen our understanding of the function and regulatory mechanism of Ca2+-channel blocking in plants. 19 Simultaneous improvement of grain yield and protein content in durum wheat by different phenotypic indices and genomic selection Grain yield and protein content are of major importance in durum wheat breeding, but their negative correlation has hampered their simultaneous improvement. To account for this in wheat breeding, the grain protein deviation (GPD) and the protein yield were proposed as targets for selection. The aim of this work was to investigate the potential of different indices to simultaneously improve grain yield and protein content in durum wheat and to evaluate their genetic architecture towards genomics-assisted breeding. To this end, we investigated two different durum wheat panels comprising 159 and 189 genotypes, which were tested in multiple field locations across Europe and genotyped by a genotyping-by-sequencing approach. The phenotypic analyses revealed significant genetic variances for all traits and heritabilities of the phenotypic indices that were in a similar range as those of grain yield and protein content. The GPD showed a high and positive correlation with protein content, whereas protein yield was highly and positively correlated with grain yield. Thus, selecting for a high GPD would mainly increase the protein content whereas a selection based on protein yield would mainly improve grain yield, but a combination of both indices allows to balance this selection. The genome-wide association mapping revealed a complex genetic architecture for all traits with most QTL having small effects and being detected only in one germplasm set, thus limiting the potential of marker-assisted selection for trait improvement. By contrast, genome-wide prediction appeared promising but its performance strongly depends on the relatedness between training and prediction sets. 20 RNAi-Mediated Downregulation of Inositol Pentakisphosphate Kinase ( IPK1 ) in Wheat Grains Decreases Phytic Acid Levels and Increases Fe and Zn Accumulation Enhancement of micronutrient bioavailability is crucial to address the malnutrition in the developing countries. Various approaches employed to address the micronutrient bioavailability are showing promising signs, especially in cereal crops. Phytic acid (PA) is considered as a major antinutrient due to its ability to chelate important micronutrients and thereby restricting their bioavailability. Therefore, manipulating PA biosynthesis pathway has largely been explored to overcome the pleiotropic effect in different crop species. Recently, we reported that functional wheat inositol penta kis phosphate kinase ( TaIPK1 ) is involved in PA biosynthesis, however, the functional roles of the IPK1 gene in wheat remains elusive. In this study, RNAi-mediated gene silencing was performed for IPK1 transcripts in hexaploid wheat. Four non-segregating RNAi lines of wheat were selected for detailed study (S3-D-6-1; S6-K-3-3; S6-K-6-10 and S16-D-9-5). Homozygous transgenic RNAi lines at T4 seeds with a decreased transcript of TaIPK1 showed 28¨C56% reduction of the PA. Silencing of IPK1 also resulted in increased free phosphate in mature grains. Although, no phenotypic changes in the spike was observed but, lowering of grain PA resulted in the reduced number of seeds per spikelet. The lowering of grain PA was also accompanied by a significant increase in iron (Fe) and zinc (Zn) content, thereby enhancing their molar ratios (Zn:PA and Fe:PA). Overall, this work suggests that IPK1 is a promising candidate for employing genome editing tools to address the mineral accumulation in wheat grains. 21 Evaluation of end use quality and root traits in wheat cultivars associated with 1RS.1BL translocation 1RS.1BL translocation in wheat, exploited for its multiple disease resistance ( Lr26, Yr9, Sr31 and Pm8 ), has maintained significance due to its agronomical advantages. However, this translocation exhibits serious defects in dough quality due to the presence of Sec - 1 loci on 1RS arm. In the present investigation micro SDS sedimentation test (MST), high molecular weight glutenin subunits (HMWGS) and bread making analysis of 26 genotypes were studied along with their root phenotyping in the field and under hydroponic culture system. The MST values showed that genotypes having Sec -1 loci had low MST values but in the presence of Glu-D1 (5 + 10) with Glu-B1 (7 + 9) and (7 + 8) they had high MST values, thus overcoming the negative effects of secalin on dough quality. The loaf volume showed positive correlation with MST values of the genotypes. The translocation of 1RS arm led to higher root biomass and longer root length than Pavon 76 without 1RS. Better root traits in recombinant 1RS 44:38 and 1B + 38 than Pavon 1RS.1BL suggested the role of negative epistatic effects between different QTL regions in 1RS arm. The results suggest that it should be possible to harness the useful alleles associated with good dough quality, better root traits, high yield and stress tolerance with or without secalin. 22 Three endoplasmic reticulum-associated fatty acyl-coenzyme a reductases were involved in the production of primary alcohols in hexaploid wheat ( Triticum aestivum L.) We reported the cloning and characterization of three TaFARs, namely TaFAR6 , TaFAR7 and TaFAR8 , encoding fatty acyl-coenzyme A reductases (FAR) in wheat leaf cuticle. Expression analysis revealed that TaFAR6 , TaFAR7 and TaFAR8 were expressed at the higher levels in the seedling leaf blades, and were expressed moderately or weakly in stamen, glumes, peduncle, flag leaf blade, sheath, spike, and pistil. The heterologous expression of three TaFARs in yeast ( Saccharomyces cerevisiae ) led to the production of C24:0 and C26:0 primary alcohols. Transgenic expression of the three TaFARs in tomato ( Solanum lycopersicum ) and rice ( Oryza sativa ) led to increased accumulation of C24:0¨CC30:0 primary alcohols. Transient expression of GFP protein-tagged TaFARs revealed that the three TaFAR proteins were localized to the endoplasmic reticulum (ER), the site of wax biosynthesis. The three TaFAR genes were transcriptionally induced by drought, cold, heat, powdery mildew ( Blumeria graminis ) infection, abscisic acid (ABA) and methyl jasmonate (MeJa) treatments. 23 Analysis of MAPK and MAPKK gene families in wheat and related Triticeae species The work presented here focuses on two subfamilies of Triticeae MAPKs, the MAP kinases (MPKs), and the MAPK kinases (MKKs) whose members phosphorylate the MPKs. In silico analysis of multiple Triticeae sequence databases led to the identification of 152 MAPKs belonging to these two sub-families. Some previously identified MAPKs were renamed to reflect the literature consensus on MAPK nomenclature. Two novel MPKs, MPK24 and MPK25, have been identified, including the first example of a plant MPK carrying the TGY activation loop sequence common to mammalian p38 MPKs. An EF-hand calcium-binding domain was found in members of the Triticeae MPK17 clade, a feature that appears to be specific to Triticeae species. New insights into the novel MEY activation loop identified in MPK11s are offered. When the exon-intron patterns for some MPKs and MKKs of wheat, barley and ancestors of wheat were assembled based on transcript data in GenBank, they showed deviations from the same sequence predicted in Ensembl. The functional relevance of MAPKs as derived from patterns of gene expression, MPK activation and MKK-MPK interaction is discussed. 24 Transcriptome analysis of wheat seedling and spike tissues in the hybrid Jingmai 8 uncovered genes involved in heterosis Heterosis, known as one of the most successful strategies for increasing crop yield, has been widely exploited in plant breeding systems. Despite its great importance, the molecular mechanism underlying heterosis remains elusive. In the present study, RNA sequencing (RNA-seq) was performed on the seedling and spike tissues of the wheat ( Triticum aestivum ) hybrid Jingmai 8 (JM8) and its homozygous parents to unravel the underlying mechanisms of wheat heterosis. In total, 1686 and 2334 genes were identified as differentially expressed genes (DEGs) between the hybrid and the two inbred lines in seedling and spike tissues, respectively. Gene Ontology analysis revealed that DEGs from seedling tissues were significantly enriched in processes involved in photosynthesis and carbon fixation, and the majority of these DEGs expressed at a higher level in JM8 compared to both inbred lines. In addition, cell wall biogenesis and protein biosynthesis-related pathways were also significantly represented. These results confirmed that a combination of different pathways could contribute to heterosis. The DEGs between the hybrid and the two inbred progenitors from the spike tissues were significantly enriched in biological processes related to transcription, RNA biosynthesis and molecular function categories related to transcription factor activities. Furthermore, transcription factors such as NAC , ERF , and TIF-IIA were highly expressed in the hybrid JM8. These results may provide valuable insights into the molecular mechanisms underlying wheat heterosis. 25 A Comparison Between Genotyping-by-sequencing and Array-based Scoring of SNPs for Genomic Prediction Accuracy in Winter Wheat The utilization of DNA molecular markers in plant breeding to maximize selection response via marker-assisted selection (MAS) and genomic selection (GS) has revolutionized plant breeding. A key factor affecting GS applicability is the choice of molecular marker platform. Genotyping-by-sequencing scored SNPs (GBS-scored SNPs) provides a large number of markers, albeit with high rates of missing data. Array scored SNPs are of high quality, but the cost per sample is substantially higher. The objectives of this study were 1) compare GBS-scored SNPs, and array scored SNPs for genomic selection applications, and 2) compare estimates of genomic kinship and population structure calculated using the two marker platforms. SNPs were compared in a diversity panel consisting of 299 hard winter wheat ( Triticum aestivum L.) accessions that were part of a multi-year, multi-environments association mapping study. The panel was phenotyped in Ithaca, Nebraska for heading date, plant height, days to physiological maturity and grain yield in 2012 and 2013. The panel was genotyped using GBS-scored SNPs, and array scored SNPs. Results indicate that GBS-scored SNPs is comparable to or better than Array-scored SNPs for genomic prediction application. Both platforms identified the same genetic patterns in the panel where 90% of the lines were classified to common genetic groups. Overall, we concluded that GBS-scored SNPs have the potential to be the marker platform of choice for genetic diversity and genomic selection in winter wheat. 26 Isochorismate-based salicylic acid biosynthesis confers basal resistance to Fusarium graminearum in barley Salicylic acid (SA) plays an important role in signal transduction and disease resistance. In Arabidopsis , SA can be made by either of two biosynthetic branches, one involving isochorismate synthase (ICS) and the other involving phenylalanine ammonia lyase (PAL). However, the biosynthetic pathway and the importance of SA remains largely unknown in Triticeae. Here, we cloned one ICS and seven PAL genes from barley, and studied their functions by overexpressing and suppressing them in that plant. Suppression of the ICS gene significantly delayed plant growth, while PAL genes, both overexpressed and suppressed, had no significant effect on plant growth. Similarly, suppression of the ICS compromised plant resistance to Fusarium graminearum , while similar suppression of PAL genes had no significant effect. We then focused on transgenic plants with ICS . In a leaf-based test with F. graminearum , transgenic plants with an upregulated ICS were comparable to the wild-type control plants. By contrast, transgenic plants with a suppressed ICS lost the ability to accumulate SA during pathogen infection and were also more susceptible to Fusarium than the wild-type controls. This suggests that ICS plays a unique role in SA biosynthesis in barley, which in turn confers a basal resistance to F. graminearum by modulating the accumulation of H2O2, O2-, and reactive-oxygen associated enzymatic activities. Although SA mediates systemic acquired resistance (SAR) in dicots, there was no comparable SAR response to F. graminearum in barley. This study expands our knowledge about SA biosynthesis in barley and proves that SA confers basal resistance for fungal pathogens. This article is protected by copyright. All rights reserved. 27 Barley yellow dwarf virus Infection Leads to Higher Chemical Defense Signals and Lower Electrophysiological Reactions in Susceptible Compared to Tolerant Barley Genotypes Barley yellow dwarf virus (BYDV) is a phloem limited virus that is persistently transmitted by aphids. Due to huge yield losses in agriculture, the virus is of high economic relevance. Since the control of the virus itself is not possible, tolerant barley genotypes are considered as the most effective approach to avoid yield losses. Although several genes and quantitative trait loci are known and used in barley breeding for virus tolerance, little is known about molecular and physiological backgrounds of this trait. Therefore, we compared the anatomy and early defense responses of a virus susceptible to those of a virus-tolerant cultivar. One of the very early defense responses is the transmission of electrophysiological reactions. Electrophysiological reactions to BYDV infection might differ between susceptible and tolerant cultivars, since BYDV causes disintegration of sieve elements in susceptible cultivars. The structure of vascular bundles, xylem vessels and sieve elements was examined using microscopy. All three were significantly decreased in size in infected susceptible plants where the virus causes disintegration of sieve elements. This could be associated with an uncontrolled ion exchange between the sieve-element lumen and apoplast. Further, a reduced electrophysiological isolation would negatively affect the propagation of electrophysiological reactions. To test the influence of BYDV infection on electrophysiological reactions, electropotential waves (EPWs) induced by leaf-tip burning were recorded using aphids as bioelectrodes. EPWs in infected susceptible plants disappeared already after 10 cm in contrast to those in healthy susceptible or infected tolerant or healthy tolerant plants. Another early plant defense reaction is an increase in reactive oxygen species (ROS). Using a fluorescent dye, we found a significant increase in ROS content in infected susceptible plants but not in infected tolerant plants. Similar results were found for the phytohormones abscisic acid and three jasmonates. Salicylic acid levels were generally higher after BYDV infection compared to uninfected plants. Heat stimulation caused an increase in jasmonates. By shedding light on the plant defense mechanisms against BYDV, this study, provides further knowledge for breeding virus tolerant plants. 28 Polymorphism of floral type gene Cly1 and its association with thermal stress in barley Cleistogamy refers to a type of sexual breeding system with closed flowers. Cleistogamous flowers shed their pollen before flower opening, which leads to autogamy. Two SNPs in the open reading frame region of the Cly1 gene are associated with floral type. In the present study, we investigated the floral type of 436 barley accessions. Molecular markers were developed to genotype these barley accessions based on the two SNPs in the Cly1 gene region. The molecular markers explained floral type in 90% of the accessions. The Cly1 gene was sequenced in accessions with inconsistent genotype and phenotype. Thirteen SNPs were detected with ten new SNPs in the gene region. We further investigated whether floral type was associated with temperature stress tolerance in four field trials. One site experienced frost stress with a minimum temperature of -3.4¡ãC during flowering. Grain fertility rates as low as 85% were observed at this site but ranged from 92¨C96% at the other three sites. The relationship between grain fertility rate and floral type under temperature stress was inconclusive. Some lines with higher grain fertility rates were identified under frost stress, and would be useful for frost stress studies in barley.
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PFT »ùÒòÐòÁÐÔڸв¡²ÄÁÏPH691ºÍ¿¹ÐÔ²ÄÁÏÍûË®°×¡¢ËÕÂó3ºÅÖ®¼äÍêÈ«Ò»Ö£» 2. ÔÚij×éÖØ×é×Ô½»ÏµÀһ¸ö¾ßÓÐÍûË®°× PFT ÀàÐ͵ļÒϵȴÊǸв¡£» 3. 44¸öµØ·½Æ·ÖÖ²ÄÁ쵀 PFT »ùÒòÐòÁÐÓëÍûË®°×ºÍËÕÂó3ºÅÒ»Ö£¬È»¶øÈ´Ö»ÓÐ12¸ö±íÏÖΪ¿¹²¡ÀàÐÍ ×ܽáÀ´Ëµ¾ÍÊÇ£ºÓÐPFT»ùÒòÒ²²»Ò»¶¨ÊÇ¿¹²¡µÄ£¡£¡£¡ È»ºó½ÓÏÂÀ´¾ÍÊÇ×îз¢±íµÄÎÄÕ£¬ÌâÄ¿ÊÇMolecular Characterization and Expression of PFT, an FHB Resistance Gene at the Fhb1 QTL in Wheat£¬Íê³Éµ¥Î»Êǽ­ËÕÅ©¿ÆÔºÁ¸Ê³×÷ÎïÑо¿Ëù£¬µÚÒ»×÷ÕßÊÇYi He£¬Í¨Ñ¶×÷ÕßÊÇHongxiang Ma¡£ÎÄÕµÄÄÚÈÝ»¹ÊDZȽϷḻµÄ£¬±ÈÈçÓкܶàgene±í´ïÊý¾Ý£¬µ«ÊÇÎÒÖ»½ÚÑ¡ÁËgene ÔÚ²»Í¬ÖÖÖÊ×ÊÔ´ÖÐÑéÖ¤Õⲿ·Ö¡£ ²ÄÁϺͷ½·¨£º 348¸ö²ÄÁÏ£ºA total of 348 wheat accessions originating from China (293), Japan (14), U.S.A. (7), Mexico (6), Australia (4), Canada(4), Italy (3), Brazil (2) and 15 unknown origin accessions¡£ ÖØÒª½áÂÛ£º 1. Four haplotypes were found in the 348accessions by the above sequence analysis: Hap-W, Hap-S1, Hap-S2, and Hap-N. 2. However, unlike previous researchers, we found the wild-type PFT sequence existed not only in resistant accessions but also insusceptible accessions such as Nonglin 67, Chuannong 42and Xiaoyan 54. »¹ÊÇÄǾ仰£¬ÓÐÕâ¸ögene£¬Ò²²»Ò»¶¨¿¹²¡¡£ 3. Furthermore, five moderatelyresistant accessions, such as CA25, Ningyan 1 and Zhenmai 6 had mutant instead of wild-type PFT sequences. 4. For the 184 PFT negative accessions, only 102 accessionswere susceptible to FHB, while the remaining 82 accessions demonstrated moderateor high FHB resistance. µÚÈýµãºÍµÚËĵã˵Ã÷ûÓÐÕâ¸öPFT gene£¬Ò²ÕÕÑùÊÇ¿¹²¡µÄ¡£Õâµã²»Ò»¶¨¸úPFTÓйØϵ£¬±Ï¾¹ÕâЩÖÖÖ²×ÊÔ´ÖÐÓпÉÄÜÓÐÆäËüµÄ¿¹²¡»ùÒò¡£ ÒÔÉϵĽá¹û¸ù¾ÝµÄ¾ÍÊÇÕâ¸öͼ¡£ËµÊµ»°£¬Õâ¸öͼ×öΪһ¸öÒÑ¿Ë¡»ùÒòµÄÑéÖ¤½á¹û£¬ÍêÈ«ÊDz»¿ÉÒÔ½ÓÊܵģ¨Èç¹ûÈÏΪÕâ¸ö»ùÒòûÓÐÆäËü»¥×÷»ùÒòµÄ»°£©¡£ÁíÍ⣬Õâ¸öͼÓÐһЩϸ½ÚÒ²ÖµµÃÔÙÉîÍÚһЩ£º±ÈÈç˵Õâ¸öS2µÄhaplotype ËäÈ»³ÊÏÖ³ö·Ç³£¸Ð²¡£¬µ«ÊÇÕâÖÖhaplotype È´Ö»ÓÐËĸöline£»ÁíÍ⣬Wild type ºÍS1 µÄhaplotype Ëä˵ÔÚ±íÐÍÉÏÓвîÒ죬µ«Ã²ËÆҲûÓÐÄÇôÃ÷ÏÔ¡££¨ÎÄÖÐÖ»¸øÁËƽ¾ùÊý£¬Ã»ÓÐStdºÍp value.µ«ÎÄÕ¸½¼ÓÁËԭʼÊý¾Ý£¬ÓÐÐËȤµÄС»ï°é¿ÉÒÔÏÂÔØ£©¡£ ÉÔÓÐÒź¶µÄÊÇ£¬×÷Õß¼ÈÈ»ÓÐÕâЩlineµÄorigin£¬°´ÕÕoriginÀ´·ÖÎöһϽá¹ûÓ¦¸Ã»áºÜÓÐÒâ˼¡£»¹ÓУ¬Õâ300¶à¸öÖÖÖÊ×ÊÔ´ºÍNGÎÄÕÂÖеÄ40¸ö²ÄÁÏÓÐʲô²»Í¬»òÕßÏàͬµãÄØ£¨±ÈÈç´ÓoriginºÍÓýÖÖÆ×ϵÀ´·ÖÎö£©£¬ÎªÊ²Ã´ËûÃǵõ½µÄ½á¹ûÊÇÍêÈ«¶ÔÓ¦£¬¶ø±¾Îĵõ½µÄ½á¹ûÈ´²»Ò»Ñù£¨µ±È»£¬´ÓÎÄÕµÄÌâÄ¿¿ÉÒÔ¿´³ö£¬ÕâƪÎÄÕµijö·¢µãºÍÂß¼­½á¹¹¸úÎҵijö·¢µã²»Ò»Ñù£¬ËùÒÔ¿ÉÄÜҲû´òËãÔÚÕâ·½Ãæ¶àϹ¦·ò£©¡£ ¸ù¾ÝÒÔÉϽá¹û£¬×÷ÕßÌá³öFHB¿¹ÐÔ¿ÉÄÜÊǶà»ùÒò¸´ºÏÌ壺 We speculate that wheat resistance to FHB is a multigenic complex trait, and PFT represents one of the genes to assist FHB resistance. Additional efforts are still needed to reveal the mechanisms of Fhb1 in FHB resistance. ×îºó£¬Ð¡±àÏë˵£¬ËäȻ˵ºóÐøµÄÑо¿¶ÔNGÄÇƪÎÄÕµĽá¹û¶¼²»ÄÜÍêÃÀÑéÖ¤£¬µ«ÎÒ»¹ÊǶÔÕâƪÎÄÕ³äÂú¾´ÒâµÄ£¬ÆðÂë´ÓÄÇƪÎÄÕµĽṹºÍÂß¼­À´Ëµ£¬È·ÊµÊÇûÓÐÎÊÌâµÄ¡£¿ÉÊÇ×÷ÕßÃÇҲȷʵºöÂÔ»òÕß˵ÎÞÒâÖдí¹ýÁËÌá³ö²»È·¶¨ÐÔÕâÑùÒ»¸ö»ú»á¡£ÎÒ²»ÖªµÀÈç¹ûÕâ¸öÑо¿ÔÚSupplementary Table 6 £¨40¸öline£©µÄ»ù´¡ÉÏÔÙ¶àÑ¡¼¸¸ö²ÄÁÏ»òÕß˵ûÓÐÄÇô¡°ÔËÆøºÃ¡±µÄ»°£¬·¢ÏÖ¼¸¸öÓлùÒòÈ´²»¿¹²¡£¬»òÕßû»ùÒòҲȴ¿¹²¡µÄÇé¿ö£¬È»ºóÔÚÎÄÕÂÖÐÌá³ö»¹ÓÐÆäËüµÄ»ùÒòÒ²¿ÉÄܲÎÓëPFT¸´ºÏÌ壬ÊDz»ÊǾ͸üºÃһЩ¡£¾ÍÏñÎÄÖÐËùÌá³öµÄ£¬Our discovery identifies a new type of durable plant resistance geneconferring quantitative disease resistance to plants against Fusarium species. ¼ÈÈ»×÷ÕßÒѾ­Òâʶµ½Õâ¸ögeneÊǸöquantitative resistance£¬Ìá³ö»¹ÓÐÆäËü»ùÒò²ÎÓ뿹ÐÔÆäʵҲËãÊÇ˳Àí³ÉÕ°ɡ£²»¹ýÒªÕæÊÇÕâÖÖÇé¿öµÄ»°£¬ÎÄÕÂÊDz»ÊÇ»¹ÄÜ·¢ÔÚNGÉϾÍÕæ²»ºÃ˵ÁË¡£ ×ÜÖ®£¬ÎÒÃÇÆÚ´ý¹ØÓÚ Fhb1 ¸ü¶à¸ü¾«²ÊµÄÑо¿£¬ÓÐÕùÒé²»¿ÉÅ£¬½â¾öÕùÒéµÄ¹ý³ÌÒ²¾ÍÊÇ×ßÏòÕæÀíµÄ¹ý³Ì¡£
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mashengwei 2018-3-1 11:24
Ã÷È·ºÍ׼ȷÅжÏСÂó»¨Ò©·¢ÓýµÄ²»Í¬Ê±ÆÚ¶ÔÑо¿Ð¡Âó»¨Ò©»ò»¨·Û·¢ÓýÖÁ¹ØÖØÒª¡£½ñÌìºÍ´ó¼ÒÒ»¿é·ÖÏíһƪ¸Õ·¢±íÔÚFrontiers in Plant ScienceÉϵÄÎÄÕ£º Anther Morphological Development and Stage Determination in Triticum aestivum (doi: 10.3389/fpls.2018.00228) ¸ÃÎÄÕ½«Ð¡Âó»¨Ò©·¢ÓýµÄÕû¸ö¹ý³Ì·ÖΪ15¸öʱÆÚ£¬²¢ÇÒÑо¿ÁËÒ¶»·¾à¡¢Ë볤¡¢Ð¡»¨³¤¶È¡¢»¨Ò©³¤¶ÈºÍ¿í¶ÈÓ뻨ҩ·¢Óý²»Í¬Ê±ÆÚµÄÏà¹ØÐÔ¡£Ñо¿·¢ÏÖÒ¶»·¾àºÍºÍË볤¿ÉÒÔ×÷Ϊ²»Í¬»¨Ò©·¢ÓýʱÆڵĿìËÙ¼ø¶¨Ö¸±ê£¬¶ø»¨Ò©³¤¶È¿É½øÒ»²½¶Ô²»Í¬µÄ·¢ÓýʱÆÚ½øÐо«×¼¼ø¶¨¡£ÁíÍ⣬СÂó»¨Ò©·¢Óýµ½ËÄ·ÖÌåÄ©ÆÚºÍСæß×Ó²úÉúµÄÔçÆÚ£¨µÚ8-9ÆÚ£©£¬ÈÞÕ±²ã¿ªÊ¼³öÏÖPCD£¨programmed cell death£©£¬²¢Ò»Ö³ÖÐøµ½µÚ11ÆÚ£¨ vacuolate pollen stage£©¡£Ð¡ÂóÈÞÕ±²ãϸ°ûµÄPCDÓëË®µ¾Ïà±È¿ªÊ¼ÉÔÍí£¬µ«±ÈÄâÄϽæÒªÔçÁ½¸öʱÆÚ¡£ СÂó»¨Ò©·¢Óý15¸ö²»Í¬Ê±ÆڵĽ綨¼°ÐÎ̬ÐìÌصã¿ÉÒԲμûÏÂ±í£¨×ó»®¿É¿´È«ÎÄ£©£º Stage Stage name Description 1 Stamen primordia stage Anther is round or oval, with epidermis clear. Inner tissue comprised of primordial cells with little or no differentiation. 2 Archesporial stage Anther becomes oval in shape. Archesporial tissue begins to form the connective tissue to separate the theca of the anther. 3 Sporogenous tissue stage Four independent lobes begin to form, with parietal and sporogenous tissue present at corners of anther. Vascular region begins to form. 4 Lobe formation stage Four lobes are separate and clearly defined, each containing an endothecium and middle layer. Sporogenous tissue is still present. Vascular tissue is more highly developed. 5 Pre-callose stage Tapetal layer is present around the locules. Upper and lower locules separate at the stomium region and maintain distinct epidermal layers. 6 Central callose stage Tapetal cells grow larger as tapetum becomes complete and uniform. Microspore Mother Cells form from sporogenous tissue. Callose is visible in the center of the locules, encasing the MMCs. 7 Meiotic stage MMCs begin to undergo meiosis as the tapetum continues to grow and vacuolate. Anther size increases and meiotic microspores move to wall of tapetum, leaving a hollow region in the center of the locules. Meiotic cells exhibit globular shape as they move toward tapetal wall. 8 Tetrad stage Meiotic cells break apart to form tetrads. Middle layer begins to be crushed between tapetum and outer layers. 9 Young microspore stage Callose wall surrounding tetrads degrades and tetrads are released as young microspores. Middle layer is barely present and tapetum is at its largest and most swollen size. Young microspores are loose within the locules. 10 Vacuolate microspore stage Microspores become vacuolate and press into tapetal wall. An exine layer begins to develop on the now vacuolate microspores. Orbicules are visible between tapetum and microspores at high magnification. Tapetum begins to reduce in size as anther grows larger. 11 Vacuolate pollen stage Microspores grow larger and more spherical, becoming multi-nucleate. Two nuclei are visible in microspores. Tapetal layer is thinner and uneven as tapetal degeneration is at its peak. 12 3-nucleate pollen stage Pollen grains become round and starch filled. Gametes develop within pollen grains. Tapetum is very minimal or completely gone. The anther is at its largest point. 13 Bilocular stage Pollen grains dehydrate and contract. The septal region separating the upper and lower locules degrades, causing the anther to become bilocular. 14 Dehiscence Epidermal cells at stomium region degrade, causing locules to open and the now mature pollen grains to be released. 15 Senescence Pollen continues to be released as the anther becomes brittle and degrades. Eventually the senescing anther will release from the filament and fall from the flower. ×÷ÕßͬʱÑо¿ÁËÒ¶»·¾à£¨auricle distance£©¡¢Ë볤£¨spike length£©¡¢Ð¡»¨³¤¶È£¨spikelet length£©¡¢»¨Ò©³¤¶È£¨anther length£©ºÍ¿í¶È£¨anther width£©Îå¸öÖ¸±êÓ뻨ҩ·¢ÓýʱÆÚÖ®¼äµÄÏà¹ØÐÔ¡£Ã¿¸öÖ¸±êµÄ¶¨Òå¿É²Î¼ûÏÂͼ£º ¼òµ¥¸ÅÀ¨Ò»Ï£¨¾ßÌåϸ½Ú¿ÉÒԲμûÔ­ÎÄ£©£º Ò¶»·¾à£º ÓÉÓÚ²»Í¬²ÄÁÏÖ®¼äµÄÖê¸ß²îÒì½Ï´ó£¬ÏàÓ¦µØÒ¶»·¾à£¨ÆìÒ¶Ò¶¶úµ½µ¹¶þÒ¶Ò¶¶úµÄ¾àÀ룩µÄ±ä»¯Ò²¾Í½Ï´ó£¬ÔÚͬһ²ÄÁÏÖÐÒ¶»·¾àµÄ´óСÓ뻨ҩ·¢ÓýʱÆÚµÄÏßÐÔ¹Øϵ½ÏºÃ£¬¿ÉÓÃÓÚͬһƷÖÖÄÚ»¨Ò©·¢ÓýʱÆڵļø¶¨£¬µ«Æä¾ø¶Ô³¤¶È²¢²»ÊʺÏÖê¸ß²îÒìÃ÷ÏԵIJ»Í¬²ÄÁÏÖ®¼äµÄÅжϡ£ »¨Ò©³¤¶È£º ÔÚ»¨Ò©·¢ÓýµÄµÚ4-10ÆÚ£¬»¨Ò©³¤¶È¿ÉÒÔ×÷Ϊһ¸öÏà¶Ô׼ȷµÄ²ÎÊýÀ´È·¶¨²»Í¬Æ·Öֵķ¢ÓýʱÆÚ£¬µ«ÔÚ»¨Ò©·¢ÓýµÄºóÆÚ׼ȷÐÔϽµ¡£ »¨Ò©¿í¶È£º ÔÚ»¨Ò©·¢ÓýµÄµÚ8-10ÆÚ£¬»¨Ò©¿í¶È±ä»¯²¢²»Ã÷ÏÔ£¨Í£Ö¹±ä¿í£©£¬Òò´Ë²¢²»ÊʺÏ×÷Ϊ»¨Ò©·¢ÓýʱÆÚµÄÅжÏÖ¸±ê¡£ Ë볤ºÍС»¨³¤¶È£º ³ýÁË»¨Ò©·¢ÓýµÄµÚ8ºÍµÚ9ÆÚÖ®Í⣬Ë볤ºÍС»¨³¤¶ÈÔÚµÚ4-12ÆÚ»ù±¾ÊÇÏßÐÔÔö¼ÓµÄ£¬µ«ÔÚ²»Í¬Æ·ÖÖÖÐÓÖ´æÔÚ²îÒ죬Òò´Ë¿ÉÒÔ×÷ΪͬһƷÖÖÄÚ²¿»¨Ò©·¢ÓýʱÆÚÅж¨µÄÖ¸±ê¡£ ÕâƪÎÄÕÂÓ¦¸ÃÊÇÊ״ζÔСÂó»¨Ò©·¢ÓýµÄ²»Í¬Ê±ÆÚ½øÐÐÁËÈ«Ãæ¶øÏêϸµÄ¶¨ÒåºÍ½éÉÜ£¬²¢¸øÎÒÃÇÌṩÁËÒ»¸öÏà¶Ô׼ȷµØÅжϻ¨Ò©·¢ÓýʱÆڵķ½·¨£ºÎÒÃÇ¿ÉÒÔͨ¹ý»¨Ò©µÄ³¤¶È¶Ôij¸ö²ÄÁϵķ¢Óý½×¶Î½øÐÐÅжϣ¬²»Í¬²ÄÁÏÖ®¼ä»¨Ò©¾ø¶Ô³¤¶ÈµÄ±ä»¯²»Ã÷ÏÔ£»Ò¶»·¾àºÍË볤ÔÚͬһ²ÄÁÏÄÚ²¿»¹ÊÇÓ뻨ҩ·¢Óý½×¶ÎÓнϺõÄÏà¹ØÐÔ£¬ÊÇÒ»¸ö¼òµ¥ÓÐЧµØÅжÏÖ¸±ê£¬µ«ÔÚÆÀ¼Û֮ǰÐèÒªÌáÇ°½¨Á¢Ò»¸ö±ê×¼¡£
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Co-evolution and divergence also occur within pathogen species, leading to highly specialized subspecies with narrow host ranges. For example, cereal rust and mildew pathogens ( Puccinia and Blumeria spp.) display high host specificity as a result of ongoing co-evolution with a narrow range of grass species. In rare cases, however, some plant species are in a transition from host to nonhost or are intermediate hosts (near nonhost). Barley was reported as a useful model for genetic and molecular studies of nonhost resistance due to rare susceptibility to numerous heterologous rust and mildew fungi. This review evaluates host specificity in numerous Puccinia/Blumeria ¨Ccereal pathosystems and discusses various approaches for transferring nonhost resistance (NHR) genes between crop species to reduce the impact of important diseases in food production. 2 Elucidation of the origin of ¡° agriocrithon ¡± based on domestication genes questions the hypothesis that Tibet is one of the centers of barley domestication Wild barley forms a two-rowed spike with a brittle rachis, whereas domestic barley has two- or six-rowed spikes with a tough rachis. As does domestic barley, ¡° agriocrithon¡± forms a six-rowed spike; however the spike is brittle the same as wild barley, which makes the origin of agriocrithon obscure. Haplotype analysis of the Six-rowed spike 1 ( vrs1 ) and the Non-brittle rachis 1 (btr1 ) and 2 ( btr2 ) genes was conducted to infer the origin of agriocrithon barley. Some agriocrithon barley accessions ( eu-agriocrithon ) carried Btr1 and Btr2 haplotypes that are not found in any cultivars, implying that they are directly derived from wild barley through a mutation at the vrs1 locus. Other agriocrithon barley accessions ( pseudo-agriocrithon ), carried Btr1 or Btr2 from cultivated barley, thus implying that they originated from hybridization between six-rowed landraces carrying btr1Btr2 and Btr1btr2 genotypes followed by recombination to produce Btr1Btr2 . All materials we collected from Tibet belong to pseudo-agriocrithon and thus do not support the Tibetan Plateau as a center of barley domestication. Tracing the evolutionary history of these allelic variants revealed that eu-agriocrithon represented six-rowed barley lineages that were selected by early farmers; once in south-eastern Turkmenistan ( vrs1.a1 ) and again in the eastern part of Uzbekistan ( vrs1.a4 ). 3 Distinct domains of the AVRPM3A2/F2 avirulence protein from wheat powdery mildew are involved in immune receptor recognition and putative effector function Recognition of the AVRPM3A2/F2 avirulence protein from powdery mildew by the wheat PM3A/F immune receptor induces a hypersensitive response after co-expression in Nicotiana benthamiana . The molecular determinants of this interaction and how they shape natural AvrPm3**a2/f2 allelic diversity are unknown. We sequenced the AvrPm3**a2/f2 gene in a worldwide collection of 272 mildew isolates. Using the natural polymorphisms of AvrPm3**a2/f2 as well as sequence information from related gene family members, we tested 85 single-residue-altered AVRPM3A2/F2 variants with PM3A, PM3F and PM3FL456P/Y458H(modified for improved signaling) in Nicotiana benthamiana for effects on recognition. An intact AvrPm3**a2/f2 gene was found in all analyzed isolates and the protein variant recognized by PM3A/F occurred globally at high frequencies. Single-residue alterations in AVRPM3A2/F2 mostly disrupted, but occasionally enhanced, the recognition response by PM3A, PM3F and PM3FL456P/Y458H. Residues enhancing hypersensitive responses constituted a protein domain separate from both naturally occurring polymorphisms and positively selected residues of the gene family. These results demonstrate the utility of using gene family sequence diversity to screen residues for their role in recognition. This approach identified a putative interaction surface in AVRPM3A2/F2 not polymorphic in natural alleles. We conclude that molecular mechanisms besides recognition drive AvrPm3**a2/f2 diversification. 4 TaNAC2 is a negative regulator in the wheat-stripe rust fungus interaction at the early stage NAC transcription factors play important roles in plant response to various stresses. In this study, the roles of TaNAC2 in wheat against biotic and abiotic stresses were investigated. The expression of TaNAC2 was highly induced in wheat- Puccinia striiformis ( Pst ) interactions and ABA treatment. TaNAC2 was localized in the nuclei of Arabidopsis protoplasts. The C-terminus of TaNAC2 was necessary for transcriptional activation by the yeast one-hybrid assay. Furthermore, silencing of TaNAC2 enhanced tolerance to Pst via a significant increase of H2O2 generation and suppressing hyphal growth at the early interaction stage. 5 Mapping of HKT1;5 Gene in Barley Using GWAS Approach and Its Implication in Salt Tolerance Mechanism Studies of salinity tolerance in the diploid wheat ancestor Triticum monococcum showed that HKT1;5 -like gene was a major gene in the QTL for salt tolerance, named Nax2 . In the present study, we were interested in investigating the molecular mechanisms underpinning the role of the HKT1;5 gene in salt tolerance in barley ( Hordeum vulgare ). A USDA mini-core collection of 2,671 barley lines, part of a field trial was screened for salinity tolerance, and a Genome Wide Association Study (GWAS) was performed. Our results showed important SNPs that are correlated with salt tolerance that mapped to a region where HKT1;5 ion transporter located on chromosome four. Furthermore, sodium (Na+) and potassium (K+) content analysis revealed that tolerant lines accumulate more sodium in roots and leaf sheaths, than in the sensitive ones. In contrast, sodium concentration was reduced in leaf blades of the tolerant lines under salt stress. In the absence of NaCl, the concentration of Na+ and K+were the same in the roots, leaf sheaths and leaf blades between the tolerant and the sensitive lines. In order to study the molecular mechanism behind that, alleles of the HKT1;5 gene from five tolerant and five sensitive barley lines were cloned and sequenced. Sequence analysis did not show the presence of any polymorphism that distinguishes between the tolerant and sensitive alleles. Our real-time RT-PCR experiments, showed that the expression of HKT1;5 gene in roots of the tolerant line was significantly induced after challenging the plants with salt stress. In contrast, in leaf sheaths the expression was decreased after salt treatment. In sensitive lines, there was no difference in the expression of HKT1;5 gene in leaf sheath under control and saline conditions, while a slight increase in the expression was observed in roots after salt treatment. These results provide stronger evidence that HKT1;5 gene in barley play a key role in withdrawing Na+ from the xylem and therefore reducing its transport to leaves. Given all that, these data support the hypothesis that HKT1;5 gene is responsible for Na+unloading to the xylem and controlling its distribution in the shoots, which provide new insight into the understanding of this QTL for salinity tolerance in barley. 6 Association of yield-related traits in founder genotypes and derivatives of common wheat ( Triticum aestivum L.) The genotypes of 215 wheat cultivars including 11 founder parents and 106 derivatives were analyzed by the 9 K wheat SNP iSelect assay. A total of 4138 polymorphic single nucleotide polymorphism (SNP) loci were detected on 21 chromosomes, of which 3792 were mapped to single chromosome locations. All genotypes were phenotyped for six yield-related traits including plant height (PH), spike length (SL), spikelet number per spike (SNPS), kernel number per spike (KNPS), kernel weight per spike (KWPS), and thousand kernel weight (TKW) in six irrigated environments. Genome-wide association analysis detected 117 significant associations of 76 SNPs on 15 chromosomes with phenotypic explanation rates ( R 2 ) ranging from 2.03 to 12.76%. In comparing allelic variation between founder parents and their derivatives (106) and other cultivars (98) using the 76 associated SNPs, we found that the region 116.0¨C133.2 cM on chromosome 5A in founder parents and derivatives carried alleles positively influencing kernel weight per spike (KWPS), rarely found in other cultivars. 7 Rht24 reduces height in the winter wheat population ¡®Solitär ¡Á Bussard¡¯ without adverse effects on Fusarium head blight infection ˼·¿ÉÒÔ¹ØעһϠThe introduction of the Reduced height ( Rht )- B1 and Rht - D1 semi-dwarfing genes led to remarkable increases in wheat yields during the Green Revolution. However, their utilization also brings about some unwanted characteristics, including the increased susceptibility to Fusarium head blight. Thus, Rht loci that hold the potential to reduce plant height in wheat without concomitantly increasing Fusarium head blight (FHB) susceptibility are urgently required. The biparental population ¡®Solitär ¡Á Bussard¡¯ fixed for the Rht - 1 wild-type alleles, but segregating for the recently described gibberellic acid (GA)-sensitive Rht24 gene, was analyzed to identify quantitative trait loci (QTL) for FHB severity, plant height, and heading date and to evaluate the effect of the Rht24 locus on these traits. The most prominent QTL was Rht24 on chromosome 6A explaining 51% of genotypic variation for plant height and exerting an additive effect of − 4.80 cm. For FHB severity three QTL were detected, whereas five and six QTL were found for plant height and heading date, respectively. No FHB resistance QTL was co-localized with QTL for plant height. Unlike the Rht - 1 semi-dwarfing alleles, Rht24b did not significantly affect FHB severity. This demonstrates that the choice of semi-dwarfing genes used in plant breeding programs is of utmost consideration where resistance to FHB is an important breeding target. 8 Novel sources of resistance to Septoria nodorum blotch in the Vavilov wheat collection identified by genome-wide association studies The fungus Parastagonospora nodorum is the causal agent of Septoria nodorum blotch (SNB) of wheat. The pathosystem is mediated by multiple fungal necrotrophic effector¨Chost sensitivity gene interactions that include SnToxA¨C Tsn1 , SnTox1¨C Snn1, and SnTox3¨C Snn3 . A P. nodorum strain lacking SnToxA , SnTox1, and SnTox3 ( toxa13 ) retained wild-type-like ability to infect some modern wheat cultivars, suggesting evidence of other effector-mediated susceptibility gene interactions or the lack of host resistance genes. To identify genomic regions harbouring such loci, we examined a panel of 295 historic wheat accessions from the N. I. Vavilov Institute of Plant Genetic Resources in Russia, which is comprised of genetically diverse landraces and breeding lines registered from 1920 to 1990. The wheat panel was subjected to effector bioassays, infection with P. nodorum wild type (SN15) and toxa13 . In general, SN15 was more virulent than toxa13. Insensitivity to all three effectors contributed significantly to resistance against SN15, but not toxa13 . Genome-wide association studies using phenotypes from SN15 infection detected quantitative trait loci (QTL) on chromosomes 1BS ( Snn1 ), 2DS, 5AS, 5BS ( Snn3 ), 3AL, 4AL, 4BS, and 7AS. For toxa13 infection, a QTL was detected on 5AS (similar to SN15), plus two additional QTL on 2DL and 7DL. Analysis of resistance phenotypes indicated that plant breeders may have inadvertently selected for effector insensitivity from 1940 onwards. We identify accessions that can be used to develop bi-parental mapping populations to characterise resistance-associated alleles for subsequent introgression into modern bread wheat to minimise the impact of SNB. 9 Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study The panicle traits of wheat, such as grain number per spike and 1000-grain weight, are closely correlated with grain yield. Superior and effective alleles at loci related to panicles developments play a crucial role in the progress of molecular improvement in wheat yield breeding. Here, we revealed several notable allelic variations of seven panicle-related traits through an integration of genome-wide association mapping and a linkage analysis. The linkage analysis was performed using a recombinant inbred line (RIL) population (173 lines of F8:9) with a high-density genetic map constructed with 90K SNP arrays, Diversity Arrays Technology (DArT) and simple sequence repeat (SSR) markers in five environments. Thirty-five additive quantitative trait loci (QTL) were discovered, including eleven stable QTLs on chromosomes 1A, 2D, 4B, 5B, 6B, and 6D. The marker interval between EX_C101685 and RAC875_C27536 on chromosome 4B exhibited pleiotropic effects for GW, SL, GNS, FSN, SSN, and TSS, with the phenotypic variation explained (PVE) ranging from 5.40 to 37.70%. In addition, an association analysis was conducted using a diverse panel of 205 elite wheat lines with a composite map (24,355 SNPs) based on the Illumina Infinium assay in four environments. A total of 73 significant marker-trait associations (MTAs) were detected for panicle traits, which were distributed across all wheat chromosomes except for 4D, 5D, and 6D. Consensus regions between RAC875_C27536_611 and Tdurum_contig4974_355 on chromosome 4B for GW in multiple environments, between QTSS5A.7 - 43 and BS00021805_51 on 5A for SD and TSS, and between QSD3A.2 - 164 and RAC875_c17479_359 on 3A for SL and GNS in multiple environments were detected through linkage analysis and a genome-wide association study (GWAS). In addition, six stable QTL clusters on chromosomes 2D, 3A, 4B, 5A, and 6A were identified with high PVE% on a composite map. This study provides potentially valuable information on the dissection of yield-component traits and valuable genetic alleles for molecular-design breeding or functional gene exploration. 10 Precise identification of wheat-Thinopyrum intermedium translocation chromosomes carrying resistance to wheat stripe rust in line Z4 and its derived progenies The wheat- Thinopyrum intermedium derived line Z4 has displayed novel and effective stripe rust resistance for over 40 years. This study aimed to precisely identify the chromosome constitution of Z4 and determine the stripe rust resistance contribution using multicolor fluorescent in situ hybridization (FISH) and molecular marker analysis. The results indicated that the Z4 line (2n=44) contained two pairs of non-Robertsonian translocations without the 3A chromosomes of wheat. FISH karyotypes of F3 progenies derived from crosses between Z4 and MY11 indicated that the transmission of the translocated chromosomes appeared normal and the number of wheat chromosomes 3A and 3D frequently varied. The FISH signal distribution of a new repetitive probe named Oligo-3A1 confirmed the physical breakage points on chromosome 3AL incorporated into translocated chromosomes. PLUG markers revealed the breakage points on chromosomes 3A, 7JS and 3D invloved in the translocated chromosomes and they were designated as T3DS-3AS.3AL-7JSS and T3AL-7JSS.7JSL. Stripe rust resistances surveys indicated that the proximal region of 7JSS or 7JSL may confer the resistance at the adult plant stage. The precise characterization of the chromosome complements of wheat-Th. intermedium Z4 and derived progenies has demonstrated the importance of combining cytogenetic and molecular approaches in the genomics era for further wheat genetic manipulation and breeding purposes 11 Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding Genomics and phenomics have promised to revolutionize the field of plant breeding. The integration of these two fields has just begun and is being driven through big data by advances in next-generation sequencing and developments of field-based high-throughput phenotyping (HTP) platforms. Each year the International Maize and Wheat Improvement Center (CIMMYT) evaluates tens-of-thousands of advanced lines for grain yield across multiple environments. To evaluate how CIMMYT may utilize dynamic HTP data for genomic selection (GS), we evaluated 1170 of these advanced lines in two environments, drought (2014, 2015) and heat (2015). A portable phenotyping system called ¡®Phenocart¡¯ was used to measure normalized difference vegetation index and canopy temperature simultaneously while tagging each data point with precise GPS coordinates. For genomic profiling, genotyping-by-sequencing (GBS) was used for marker discovery and genotyping. Several GS models were evaluated utilizing the 2254 GBS markers along with over 1.1 million phenotypic observations. The physiological measurements collected by HTP, whether used as a response in multivariate models or as a covariate in univariate models, resulted in a range of 33% below to 7% above the standard univariate model. Continued advances in yield prediction models as well as increasing data generating capabilities for both genomic and phenomic data will make these selection strategies tractable for plant breeders to implement increasing the rate of genetic gain. 12 Estimating wheat and maize daily evapotranspiration using artificial neural network In this research, artificial neural network (ANN) is used for estimating wheat and maize daily standard evapotranspiration. Ten ANN models with different structures were designed for each crop. Daily climatic data , leaf area index (LAI), and plant height ( h ) were used as inputs. For five structures of ten, the evapotranspiration (ETC) values calculated by ETC = ET0 ¡Á  K C equation (ET0 from Penman-Monteith equation and K C from FAO-56, ANNC) were used as outputs, and for the other five structures, the ETC values measured by weighing lysimeter (ANNM) were used as outputs. In all structures, a feed forward multiple-layer network with one or two hidden layers and sigmoid transfer function and BR or LM training algorithm was used. Favorite network was selected based on various statistical criteria. The results showed the suitable capability and acceptable accuracy of ANNs, particularly those having two hidden layers in their structure in estimating the daily evapotranspiration. Best model for estimation of maize daily evapotranspiration is «M»ANN1C (8-4-2-1), with T max, T min, RHmax, RHmin, U 2, n , LAI, and h as input data and LM training rule and its statistical parameters (NRMSE, d , and R2) are 0.178, 0.980, and 0.982, respectively. Best model for estimation of wheat daily evapotranspiration is «W»ANN5C (5-2-3-1), with T max, T min, Rn, LAI, and h as input data and LM training rule, its statistical parameters (NRMSE, d , and R 2) are 0.108, 0.987, and 0.981 respectively. In addition, if the calculated ETCused as the output of the network for both wheat and maize, higher accurate estimation was obtained. Therefore, ANN is suitable method for estimating evapotranspiration of wheat and maize. 13 Evaluation of Yield, Processing Quality, and Nutritional Quality in Different-Colored Wheat Grains under Nitrogen and Phosphorus Fertilizer Application Increased grain yield and improved processing and nutritional quality are important factors in wheat ( Triticum aestivum L.) production. Six wheat cultivars with different-colored grains (white, red, and purple) were used to investigate the effect of combined N (N1: 90 kg N ha−1; N2: 240 kg N ha−1) and P fertilizer (P1: 60 kg P2O5 ha−1; P2: 209 kg P2O5 ha−1) on yield, dough rheological properties, grain Fe and Zn content, and phenolic acid content in two sowing years. Fertilization, cultivar, and its interactions all had a significant effect on most of the tested parameters. Both purple cultivars had a higher average protein content (14.46 and 14.13%), total insoluble phenolic acid content (840.24 and 778.46 ¦Ìg g−1) and antioxidant activity (16.16 and 13.94 ¦Ìmol FeSO4 g−1) than the red and white cultivars. Meanwhile, the two red cultivars had the highest total soluble phenolic acid content. High N application increased grain yield, protein content, dough rheological properties, grain Fe and Zn, and accumulative contents. Highest insoluble ferulic acid and total insoluble phenolic acid contents were observed under high P (N1P2 or N2P2) treatment, whereas the highest total soluble phenolic acid contents were observed under low-N treatment. High combined N and P fertilizer application also resulted in higher antioxidant activity. Wheat cultivars with a medium to strong dough strength would benefit from N2P2 treatment in terms of yield, processing quality, and nutritional quality. This is especially true for purple cultivars, which have a high nutritional quality. In contrast, soft gluten cultivars would benefit from N1P2 treatment. 14 Isolation of Mutations Conferring Increased Glyphosate Resistance in Spring Wheat A mutation breeding approach was used to explore the feasibility of isolating glyphosate-resistant (GR) wheat ( Triticum aestivum L.) lines. Although transgenic GR wheat cultivars were developed, they were never introduced due to lack of consumer acceptance and concern over management of volunteer wheat in rotation. Large-scale screening experiments recovered ethyl methanesulfonate mutants able to resist 360 to 480 g acid equivalent (ae) ha−1 glyphosate in four spring wheat cultivars, ¡®Hollis¡¯, ¡®Louise¡¯, ¡®Macon¡¯, and ¡®Tara2002¡¯, indicating that it is possible to recover resistance in a wide range of genetic backgrounds (glyphosate is typically applied at 840 g ae ha−1 in transgenic crops). Glyphosate rates of 420 to 530 g ae ha−1 were sufficient to kill the susceptible wild-type parents. Seven GR mutants were characterized: GRH9-5, GRH9-8, GRL1, GRL33, GRL65, GRM14, and GRT20. Glyphosate resistance was examined at the whole-plant level in dose¨Cresponse experiments. Three mutant lines¡ªGRL33, GRH9-5, and GRT20¡ªexhibited resistance based on a significant increase in the dose required to retard growth compared with the corresponding susceptible wild type. According to F2 segregation analysis, GRL1, GRL65, and GRT20 segregated as a single dominant gene, whereas GRL33, GRH9-5, and GRH9-8 appeared to be either a single semidominant or polygenic trait. Although GRL1 was associated with an amino acid substitution (L239F) in TaEPSPS-7D1 , no nucleotide changes were observed in the coding regions of wheat 5-enolpyruvylshikimate-3-phosphate synthase ( EPSPS ) gene in GRL33 and GRH9-8. Results suggest that glyphosate resistance can result from multiple genetic mechanisms in wheat. 15 Reciprocal Hosts' Responses to Powdery Mildew Isolates Originating from Domesticated Wheats and Their Wild Progenitor The biotroph wheat powdery mildew, Blumeria graminis (DC.) E.O. Speer, f. sp. tritici Em. Marchal ( Bgt ), has undergone long and dynamic co-evolution with its hosts. In the last 10,000 years, processes involved in plant evolution under domestication, altered host-population structure. Recently both virulence and genomic profiling separated Bgt into two groups based on their origin from domestic host and from wild emmer wheat. While most studies focused on the Bgt pathogen, there is significant knowledge gaps in the role of wheat host diversity in this specification. This study aimed to fill this gap by exploring qualitatively and also quantitatively the disease response of diverse host panel to powdery mildew . A set of eight Bgt isolates, originally collected from domesticated and wild wheat was used for screening this wheat collection. The isolates from domesticated wheat elicited susceptible to moderate plant responses on domesticated wheat lines and high resistance on wild genotypes (51.7% of the tested lines were resistant). Isolates from wild emmer elicited reciprocal disease responses: high resistance of domesticated germplasm and high susceptibility of the wild material (their original host). Analysis of variance of the quantitative phenotypic responses showed a significant Isolates ¡Á Host species interaction and further supported these findings. Furthermore, analysis of the range of disease severity values showed that when the group of host genotypes was inoculated with Bgt isolate from the reciprocal host, coefficient of variation was significantly higher than when inoculated with its own isolates. This trend was attributed to the role of major resistance genes in the latter scenario (high proportion of complete resistance). By testing the association between disease severity and geographical distance from the source of inoculum, we have found higher susceptibility in wild emmer close to the source. Both qualitative and quantitative assays showed a reciprocal resistance pattern in the wheat host and are well aligned with the recent findings of significant differentiation into wild-emmer and domesticated-wheat populations in the pathogen. 16 Anther Morphological Development and Stage Determination in Triticum aestivum Anther development progresses through 15 distinct developmental stages in wheat, and accurate determination of anther developmental stages is essential in anther and pollen studies. A detailed outline of the development of the wheat anther through its entire developmental program, including the 15 distinct morphological stages, is presented. In bread wheat ( Triticum aestivum ), anther developmental stages were correlated with five measurements, namely auricle distance, spike length, spikelet length, anther length and anther width. Spike length and auricle distance were shown to be suitable for rapid anther staging within cultivars. Anther length is an accurate measurement in determining anther stages and may be applicable for use between cultivars. Tapetal Programmed Cell Death (PCD) in wheat begins between late tetrad stage (stage 8) and the early young microspore stage (stage 9) of anther development. Tapetal PCD continues until the vacuolate pollen stage (stage 11), at which point the tapetum fully degrades. The timing of tapetal PCD initiation is slightly delayed compared to that in rice, but is two stages earlier than in the model dicot Arabidopsis. The MYB80 gene, which encodes a transcription factor regulating the timing of tapetal PCD, reaches its peak expression at the onset of tapetal PCD in wheat. 17 Genomic-Enabled Prediction Kernel Models with Random Intercepts for Multi-environment Trials In this study, we compared the prediction accuracy of the main genotypic effect model (MM) without G¡ÁE interactions, the multi-environment single variance G¡ÁE deviation model (MDs), and the multi-environment environment-specific variance G¡ÁE deviation model (MDe) where the random genetic effects of the lines are modeled with the markers (or pedigree). With the objective of further modeling the genetic residual of the lines, we incorporated the random intercepts of the lines (l) and generated another three models . Each of these 6 models were fitted with a linear kernel method (Genomic Best unbiased predictor, GB) and a Gaussian Kernel (GK) method. We compared these 12 model-method combinations with another two multi-environment G¡ÁE interactions models with unstructured variance-covariances (MUC) using GB and GK kernels (4 model-method). Thus, we compared the genomic-enabled prediction accuracy of a total of 16 model-method combinations on two maize data sets with positive phenotypic correlations among environments, and on two wheat data sets with complex G¡ÁE that includes some negative and close to zero phenotypic correlations among environments. The two models (MDs and MDE with the random intercept of the lines and the GK method) were computationally efficient and gave high prediction accuracy in the two maize data sets. Regarding the more complex G¡ÁE wheat data sets, the prediction accuracy of the model-method combination with G¡ÁE, MDs and MDe, including the random intercepts of the lines with GK method had important savings in computing time as compared with the G¡ÁE interaction multi-environment models with unstructured variance-covariances but with lower genomic prediction accuracy. 18 Probabilities of having minimum amounts of available soil water at wheat planting Winter wheat ( Triticum aestivum L.)-fallow (WF) remains a prominent cropping system throughout the Central Great Plains despite documentation confirming the inefficiency of precipitation storage during the summer fallow period. Wheat yield is greatly influenced by available soil water at planting, and that quantity is influenced by cropping intensity, tillage intensity, crop grown prior to winter wheat planting, and length of the non-crop period prior to winter wheat planting. The objective of this study was to determine the effect of cropping system intensity, tillage, and crop prior to wheat planting on available soil water at planting and the probabilities of having certain minimum amounts of available soil water at wheat planting. Available soil water was measured at wheat planting for nine cropping systems varying in fallow frequency, tillage intensity, and crop prior to wheat over a 25-yr period at Akron, CO. Available soil water at wheat planting was found to be greatest (average 218 mm) for no-tillage (NT) and reduced-tillage (RT) systems in which a fallow period of 12¨C14 months preceded wheat planting. The lowest amounts of available soil water at wheat planting were found for the continuously cropped rotations (average 100 mm). The cumulative probability exceedance graphs of available soil water at planting fell into three groupings: 1) the five rotations that had a NT or RT fallow period prior to the next wheat crop; 2) the WF (conventional till) rotation; 3) the three rotations with either pea ( Pisum sativum L.) or proso millet ( Panicum miliaceum L.) prior to the next wheat crop. These graphs provide a valuable decision support tool for helping farmers assess risk in moving from a WF cropping system to a system of greater cropping intensity and diversity. 19 Fast-Forwarding Genetic Gain ¡®Speed breeding¡¯ enables scientists to exploit gene bank accessions and mutant collections for an unparalleled rapid gene discovery and gene deployment. Combining speed breeding and other leading-edge plant breeding technologies with strategic global partnerships, has the potential to achieve the genetic gain targets required to deliver our future crops.
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Plant Sci.ÉϵÄÎÄÕÂÀ´½øÒ»²½½â¶Á£¬¸ÃÎĵÄÌâÄ¿ÊÇ¡°A Combined Association Mapping and Linkage Analysis of Kernel Number Per Spike in Common Wheat ( Triticum aestivum L.)¡±¡£ÏÂͼÁгöÁËÎÄÕµÄ×÷ÕßÐÅÏ¢£¬ÏàÐÅÒ»¶¨ÓкܶàС»ï°éÊìϤ¡£ Çëµã»÷ÊäÈëͼƬÃèÊö Kernel number per spike (KNPS) in wheat is a key factor that limits yield improvement. In this study, we genotyped a set of 264 cultivars, and a RIL population derived from the cross Yangmai 13/C615 using the 90K wheat iSelect SNP array. We detected 62 significantly associated signals for KNPS at 47 single nucleotide polymorphism (SNP) loci through genome-wide association analysis of data obtained from multiple environments. These loci were on 19 chromosomes, and the phenotypic variation attributable to each one ranged from 1.53 to 39.52%. Twelve (25.53%) of the loci were also significantly associated with KNPS in the RIL population grown in multiple environments. For example, BS00022896_51-2ATT , BobWhite_c10539_201-2DAA, Excalibur_c73633_120-3BGG , and Kukri_c35508_426-7 DTT were significantly associated with KNPS in all environments. Our findings demonstrate the effective integration of association mapping and linkage analysis for KNPS, and underpin KNPS as a target trait for marker-assisted selection and genetic fine mapping. 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(1993) ºÍGriffiths et al . (2006) ÀûÓÃ5BȾɫÌåȱʧ²ÄÁϽ« Ph1 ËõСµ½Ò»¸ö2.5 MBÇøÓò£¬Kulvinder Gill×é±È½Ï»ùÒò×éѧ½«´ËÇøÓòͬ²½µ½Ë®µ¾»ùÒò×é450kbµÄÇøÓò£¬Ê×ÏÈÀûÓÃÉúÎïÐÅϢѧ·ÖÎö½«¸ÃÇøÓòµÄ91¸ö»ùÒò¹ýÂ˵½26¸ö»ùÒò£¬È»ºóVIGSÑéÖ¤·ÖÎö¼ø¶¨³öÒ»¸öºòÑ¡»ùÒò ( C-Ph1 ; LOC_Os9g30320 , wheat expressed sequence tag(EST) homolog BE498862)£¬²¢½øÐкóÐøµÄ¹¦ÄÜÑéÖ¤Ö¤Ã÷ÆäÊÇ Ph1 µÄºòÑ¡»ùÒò¡£ C-Ph1 µÄÎÄÕÂÒ»¾­·¢±í£¬ÒýÆðÁ˲»Éٺ䶯£¬µ«ÊÇÒ²Óв»Éٴ󿧱íʾÖÊÒÉ¡£¼ÓÉÏ´ËÇ°Graham Moore×éÌá³öµÄ CDK2-like »ùÒò´ØÀíÂÛ£¬¸÷ÖÖÕùÂÛ½Óõà¶øÀ´¡£ÔÚ2016ÄêPAG»áÉÏ£¬Ë½µ×ϸúGraham Moore½ÌÊÚ½»Á÷µÄʱºò£¬Ëû·Ç³£¿Ï¶¨µÄ˵ C-Ph1 ²»ÊÇ Ph1 ¡£¹ûÈ»£¬ÔÚ³Á¼ÅÁË3ÄêÖ®ºó£¬¸÷ÖÖÕùÂÛÐìÐìµ½À´¡£ 2017Äê4Ô£¬Graham Moore×éÔÚChromosomaÉÏ·¢ÎÄ ½øÒ»²½²ûÊÍ Ph1 ÔÚȾɫÌåÁª»áºÍ½»²æÖØ×éµÄ»úÀí £¨¼ûÏÂͼ£©¡£»ùÓÚËûÃÇ2014ÄêµÄÑо¿£¬ Ph1 µÄ¹¦ÄÜÊÇ´Ù½ø¼õÊý·ÖÁÑÔçÆÚͬԴȾɫÌå¼äµÄÁª»á£¬Ò²»á×èÖ¹ÒѾ­·¢ÉúÁª»áµÄ²¿·ÖͬԴȾɫÌåÖÐµÄ MLH1 λµãÏòcrossoverµÄת±ä (Mart¨ªn et al . 2014)¡£Ê×ÏÈ£¬ËûÃDZ¾ÎÄ·¢ÏÖ²»ÂÛ Ph1 ÊÇ·ñ´æÔÚ£¬²¿·ÖͬԴȾɫÌå¼äµÄÁª»áÊDz»ÄÜÔÚ¶ËÁ£»¨ÊøÆÚ·¢ÉúµÄ£¬¶øÖ»ÓÐͬԴȾɫÌå¼äµÄÁª»á»áÔÚÕâ¸öʱÆÚ·¢Éú¡£ÔÚûÓÐ Ph1 ʱ£¬Áª»áµÄ½ø³ÌÃ÷ÏÔÍíÓÚ¶ËÁ£»¨ÊøÆÚ£¬´ó²¿·ÖµÄ²¿·ÖͬԴȾɫÌå¼äµÄÁª»á·¢ÉúÓÚ»¨ÊøÆÚÒÔºó¡£Æä´Î£¬ÔÚûÓÐ Ph1 ʱ£¬ MLH1 λµãÏòcrossoverµÄת±äÊÇÄܹ»±»»·¾³Ìõ¼þ²Ù×ݵģ¬±ÈÈç¸ßÓªÑøˮƽµÄÍÁÈÀºÍ½ÏµÍεĴ¦Àí¾ùÄÜÔö¼ÓͬԴȾɫÌå¼äºÍ²¿·ÖͬԴȾɫÌå¼äcrossoverµÄ±ÈÀý¡£¶ø ÕâЩ½á¹û¶ÔÓÚÔÚÓýÖÖÖÐÓ¦Óà Ph1 Í»±äÌåÌṩÁ˸ü¶àµÄ¿ÉÄÜ ¡£ Graham Moore×é±¾ÎÄÖÐÌá³ö Ph1 λµãÒѾ­±»Ãª¶¨ÔÚÕâ¸öº¬ÓÐ CDK2-like »ùÒòºÍ¼×»ù»¯×ªÒÆø(SAM-MTases)»ùÒòµÄ»ùÒò´Ø£¬Õâ¸öÇøÓò°üº¬ÁËÒ»¸öÀ´×Ô3BȾɫÌåµÄƬ¶Î£¬¸ÃƬ¶ÎÖдøÓÐÒ»¸ö֮ǰÃüÃûΪ hypothetical 3 ( Hyp3 ) µÄ»ùÒò(Griffiths et al. 2006; Al-Kaff et al. 2008)£¬ÏÖÔÚÖØÐÂÃüÃûΪ ZIP4 (UniProtKB-Q2L3T5)¡£¶ø Ph1 ¶ÔÓÚcrossoverÐγɵÄÓ°ÏìºÜ¿ÉÄܾÍÊÇÕâ¸ö ZIP4 »ùÒòµÄ×÷Óà ¡£ ½ô½Ó×Å£¬2017Äê7Ô£¬Graham Moore×éÔÚMol. Breeding·¢±íÎÄÕ£¨¼ûÏÂͼ£©£¬½è²ûÊÍ Ph1 ÇøÓò Tazip4-B2 »ùÒòÍ»±äÌåµÄ»ú»á£¬½øÒ»²½º´ÎÀÁËËûÃǵÄÀíÂÛ ¡° Ph1 λµãÊÇÒ»¸ö¸´ÔӵĻùÒò´Ø£¬°üº¬ÁË CDK2-like »ùÒòºÍ¼×»ù»¯×ªÒÆø£¨ ZIP4 µÄÅÔϵͬԴ»ùÒò£©Ò²ÔÚÄÚ¡±£¨Ô­»°ÊÇ Ph1 locus is a complex cluster of CDK2-like and methyl transferase genescontaining a ZIP4 paralogue£©¡£ ÆäÔÚÎÄÖÐϬÀûÖ¸³ö C-Ph1 ÔÚË®µ¾ÖеÄͬԴ»ùÒò Os9g30320 ʵ¼ÊÉÏÊÇÒ»¸öÈÞÕ±²ãϸ°û»ùÒò£¨Jeon et al .1999£©¡£¶øÇÒСÂóÖÐµÄ C-Ph1 µÄÅÔϵͬԴ»ùÒò£¬ÃûΪ Raftin1 £¬Ò²±»È϶¨ÎªÊÇÈÞÕ±²ãϸ°û»ùÒò (Wang et al .2003)¡£ÈÞÕ±²ãϸ°û»ùÒòµÄ±í´ï³ÊÏָ߷å»áÒòΪÈÞÕ±²ãϸ°ûÍêÈ«¸½×ÅÔÚ¼õÊýµÚÒ»´Î·ÖÁÑÖÐÆÚ»¨·Ûĸϸ°û¶ø·¢Éú¡£´ËÀà»ùÒòµÄÎÉÂһᵼÖ»¨·Ûĸϸ°ûÊܵ½Ð²ÆÈ£¬È¾É«Ìå¾Û¼¯µ½Ò»ÆðºÍÐÛÐÔ²»Óý£¬Òò¶ø ÀûÓôËÀà»ùÒò¿ÉÒÔÓÕµ¼²úÉúÐÛÐÔ²»Óýϵ £¬Á½¸öרÀûÒ²ÒѾ­±»ÊÚȨ(Patents WO2000026389A3 ºÍUS20040060084)¡£ÕâµãÒ²µÃµ½Á˹«ÖÚºÅС±àÄ߷ɲ©Ê¿£¨Ì«¹ÈºË²»Óý»ùÒò Ms2 ¿Ë¡µÄÖ÷Òª²ÎÓëÕߣ©µÄÈ·ÈÏ¡£²¢ÇÒ֮ǰAl-Kaff et al. (2008)±¨µÀµÄ2.5 MBÇøÓòÄÚµÄȱʧ²ÄÁÏÖÐҲȱʧÁË C-Ph1 »ùÒò£¬È´Ã»ÓбíÏÖ³ö Ph1 Í»±äÌåµÄ±íÐÍ£¬ËûÃÇÍƲâBhullar et al. (2014)±¨µÀµÄȱʧ²ÄÁϵıíÐÍ¿ÉÄܱ»´íÎó¼ø¶¨£¬»òÕßVIGS¼ø¶¨µÄ±íÐÍÊÇÓÉÍÑ°ÐЧӦÔì³ÉµÄ¡£×Ðϸ±È½Ï»á·¢ÏÖÆ䱨µÀµÄVIGS¼ø¶¨µÄ±íÐͱÈÕû¸ö5BȾɫÌåµÄȱʧ»¹¾çÁÒ¡£ Òò¶ø£¬ C-Ph1 Ó¦¸Ã²»ÊÇPh1 £¡£¡£¡ Graham Moore×éÔÙ´ÎÇ¿µ÷ÀûÓÃȱʧϵµÄ·ÖÎöÒѾ­°Ñ Ph1 λµã궨ÔÚÕâ¸ö2.5MBÇøÓò£¬Õâ¸öÇøÓò°üº¬ÁËÒ»¸öÀ´×Ô3BȾɫÌåµÄ´øÓÐÒìȾɫÖÊºÍ TaZIP4-B2 »ùÒò (Ô­ÃûΪ Hyp3 , UniProtKBQ2L3T5)µÄ¸´ÖÆƬ¶Î£¬´ËƬ¶Î²åÈëµ½ÁË CDK2-like »ùÒò´Ø£¨´©²åÁ˼׻ù»¯×ªÒÆø»ùÒò£¬Ô­ÃûΪ SpG , UniProtKB-Q2L3W3) (Griffiths et al . 2006; Al-Kaff et al . 2008; Mart¨ªn et al . 2017)¡£µ«ÊÇÕâЩ»ùÒò¶Ô Ph1 ±íÐ͵űÏ×»¹ÊÇδ֪µÄ¡£¼øÓÚ ph1b Í»±äÌå´øÓÐÌ«¶àµÄ²¿·ÖͬԴȾɫÌå½»²æÖØ×éµ¼ÖµÄȾɫÌåÒì¹¹£¬¶øÇÒÑÏÖØÓ°ÏìÓýÐÔ(S¨¢nchez-Mor¨¢n et al . 2001)£¬ËûÃDZ¾ÎÄ ³É¹¦µØ·ÖÀë³öСÂóÖÐÄܹ»´øÓнÏСӰÏìµÄ TaZIP4-B2 »ùÒòÍ»±äÌåCadenza1691ºÍCadenza0348£¬½ø¶ø¿ÉÒÔÍƹãÓ¦Óà ¡£ Õ⻹ûÍ꣬Kulvinder Gill×éÔÚ2018ÄêPAG´ó»áÉÏÌá½»ÁË3¸ö C-Ph1 Ïà¹ØabstractºÍposter ( https://pag.confex.com/pag/xxvi/meetingapp.cgi/Person/50501 )¡£ÎÄÖÐÉù³Æ ÀûÓà C-Ph1 ¶Ô ph1b Í»±äÌå½øÐл¥²¹¹¦ÄÜÑéÖ¤ £¬·¢ÏÖת»ùÒòÖ²ÖêÓëºÚÂóȾɫÌåµÄÅä¶ÔÄÜÁ¦±È¶ÔÕÕÃ÷ÏÔϽµ£¬Òò¶ø C-Ph1 Äܹ»»Ö¸´ ph1b Õý³£µÄȾɫÌåÅä¶Ô¹¦ÄÜ¡£´ËÍ⣬Óë¶þ±¶ÌåÏà±È£¬ C-Ph1-5B ¿½±´Í¨¹ýһЩ½ø»¯µÄ¸Ä±ä¶ø¾ßÓÐÁËÐµĹ¦ÄÜ£¬¾ßÌåÊÇi) 29bp ȱʧ£»ii) 60bp²åÈëµ¼Ö»ñµÃÁËеÄmotif£»iii) ¿É±ä¼ôÇУ»iv) ¼õÊýµÚÒ»´Î·ÖÁÑÇ°ÆÚ-ÖÐÆڵĹýÔç±í´ï¡£ ¿ÉÊÇ£¬Í¬ÔÚ2018ÄêPAG´ó»áÉÏ£¬À´×ÔNational Research Council (Canada)µÄSateesh KagaleÒ²ÓÐһƪabstractÊǹØÓÚ Ph1 µÄ( https://pag.confex.com/pag/xxvi/meetingapp.cgi/Paper/31148 )£¬¸ÃÎÄÀûÓÃCS ºÍCs- Ph1b Í»±äÌåµÄRNA sequenceÊý¾ÝºÍСÂó»ùÒò×éÊý¾Ý½øÐзÖÎö£¬ »ñµÃÁË Ph1 ÇøÓòµÄÍêÕû»ùÒòÐòÄ¿¡£ÕâЩ»ùÒò½øÐÐ×ۺϽṹºÍ±í´ï·ÖÎö±íÃ÷ Ph1 ÊÇÒ»¸ö´øÓжàÖغòÑ¡»ùÒò²¢´øÓÐÈßÓ๦Äܵĸ´ÔÓλµã ¡£ ×ÛºÏÒÔÉÏÑо¿±¨µÀ£¬¿ÉÒÔ½«Æä»ã×ܵ½Ò»ÕÅͼÉÏ£¨¼ûÏÂͼ£©£¬Graham Moore×éÈÏΪ Ph1 ÊÇÒ»¸ö¸´ÔӵĻùÒò´Ø£¬°üÀ¨ÁË Cdk-like genesºÍ TaZIP4-B2 £»¶øºóSateesh Kagale¶Ô ph1b Í»±äÌåµÄÉúÎïÐÅÏ¢·ÖÎöÒ²µÃ³öÁË Ph1 ÊǸ´ÔÓ»ùÒò¸´ºÏÌåµÄÏàËƽáÂÛ£»È»¶øKulvinder Gill×黹ÊǼá³Ö C-Ph1 ÊǺòÑ¡»ùÒòµÄÀíÂÛ£¬²¢Éù³Æ1¸ö C-Ph1 ¾Í»Ö¸´ÁË ph1b Í»±äÌåµÄÕý³£Åä¶Ô¹¦ÄÜ£¬µ«ÊÇ°üÀ¨±¾ÎÄ×÷ÕßÔÚÄÚµÄһЩÑо¿ÈËÔ±¶Ô´Ë½á¹û³Ö»³ÒÉ̬¶È¡££¨Í¼ÖÐÏÔʾ C-Ph1 µÄÈ·ÔÚ֮ǰGraham Moore×é´´ÖƵÄȱʧϵÖз¢Éúȱʧ£¬µ«ÊÇûÓбíÏÖ³ö ph1b µÄ±íÐÍ£©¡£ ¿´ÁËÕâôЩÁîÈËѪÂöÅçÕŵÄÑо¿ÒÔ¼°ÕùÂÛ£¬¹ØÓÚÕýÊ·µÄ±¨µÀµ½ÕâÀïËãÊǸæÒ»¶ÎÂ䣬ÏàÐÅËæ׏ØÓÚ Ph1 »ùÒò¸÷ÖÖÑо¿µÄ¸ú½ø£¬ Ph1 µÄ¹ÊÊÂÒ²»áÔ½À´Ô½ÄÍÈËѰ棬ÎÒÃÇÀë½Ò¿ª Ph1 µÄÃæÉ´Ò²Ô½·¢µÄ½Ó½ü¡£ ±¾ÎÄÓõ½µÄÎÄÏ×£º Al-Kaff,N., Knight, E., Bertin, I., Foote, T., Hart, N., Griffiths, S., and Moore, G.(2008). Detailed dissection of the chromosomal region containing the Ph1 locus in wheat Triticum aestivum : withdeletion mutants and expression profiling. AnnBot 101 , 863-872. Bhullar, R.,Nagarajan, R., Bennypaul, H., Sidhu, G.K., Sidhu, G., Rustgi, S., VonWettstein, D., and Gill, K.S. (2014). Silencing of a metaphase I-specific generesults in a phenotype similar to that of the Pairing homeologous 1 ( Ph1 ) gene mutations. Proc Natl Acad Sci U S A 111 , 14187-14192. Gill, K.S., Gill, B.S., Endo, T.R., andMukai, Y. (1993). Fine physical mapping of Ph1, a chromosome pairing regulatorgene in polyploid wheat. Genetics 134, 1231-1236. Griffiths, S., Sharp,R., Foote, T.N., Bertin, I., Wanous, M., Reader, S., Colas, I., and Moore, G.(2006). Molecular characterization of Ph1 as a major chromosome pairing locus in polyploid wheat. Nature 439 , 749-752. Jeon, J.-S., Chung,Y.-Y., Lee, S., Yi, G.-H., Oh, B.-G., and An, G. (1999). Isolation andcharacterization of an anther-specific gene, RA8 , from rice (Oryza sativa L.). Plant molecular biology 39 , 35-44. Mart¨ªn, A.C., Rey,M.-D., Shaw, P., and Moore, G. (2017). Dual effect of the wheat Ph1 locus on chromosome synapsis andcrossover. Chromosoma 126 , 669-680. Martin, A.C., Shaw,P., Phillips, D., Reader, S., and Moore, G. (2014). Licensing MLH1 sites for crossover during meiosis. Nat Commun 5 , 4580. Sanchez-Moran, E.,Benavente, E., and Orellana, J. (2001). Analysis of karyotypic stability ofhomoeologous-pairing ( ph ) mutants inallopolyploid wheats. Chromosoma 110 , 371-377. Wang, A., Xia, Q.,Xie, W., Datla, R., and Selvaraj, G. (2003). The classical Ubisch bodies carrya sporophytically produced structural protein ( RAFTIN ) that is essential for pollen development. Proceedings of the National Academy ofSciences 100 , 14487-14492.
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In this study, 95 Austrian and Belgian wheat cultivars maintained at the Centre for Genetic Resources (CGN) in the Netherlands were characterised using 1052 diversity array technology (DArT) markers to evaluate their genetic diversity, relationships and population structure. The rarefacted allelic richness recorded in the Austrian and Belgian breeding pools ( A 25 = 1.396 and 1.341, respectively) indicated that the Austrian germplasm contained a higher genetic diversity than the Belgian pool. The expected heterozygosity ( HE ) values of the Austrian and Belgian pools were 0.411 and 0.375, respectively. Moreover, the values of the polymorphic information content (PIC) of the Austrian and Belgian pools were 0.337 and 0.298, respectively. Neighbour-joining tree divided each of the Austrian and Belgian germplasm pools into two genetically distinct groups. The structure analyses of the Austrian and Belgian pools were in a complete concordance with their neighbour-joining trees. Furthermore, the 95 cultivars were compared to 618 wheat genotypes from nine European countries based on a total of 141 common DArT markers in order to place the Austrian and Belgian wheat germplasm in a wider European context. The rarefacted allelic richness ( A 10) varied from 1.224 (Denmark) to 1.397 (Austria). Cluster and principal coordinates (PCoA) analyses divided the wheat genotypes of the nine European countries into two main clusters. The first cluster comprised the Northern and Western European wheat genotypes, whereas the second included the Central European cultivars. The structure analysis of the 618 European wheat genotypes was in a complete concordance with the results of cluster and PCoA analyses. Interestingly, a highly significant difference was recorded between regions (26.53%). In conclusion, this is the first study to reveal the high diversity levels and structure of the uncharacterised Austrian and Belgian wheat germplasm maintained at the CGN as well as place them in a wider European context. The results should help plant breeders to utilise the most promising wheat genotypes of this study in future breeding programmes for enhancing wheat cultivars. 2 Fast modification on wheat straw outer surface by water vapor plasma and its application on composite material The presence of non-poplar extracts, cutin, and wax layer in the wheat straw outer surface (WOS) greatly limit its application in bio-composite preparation. In this study, a dielectric-barrier-discharge plasma using water vapor as feeding gas was used to fast modify the WOS. The morphology, free radical concentrations, surface chemical components, and contact angles of WOS before and after plasma modification were investigated. Wheat straw was further prepared into wheat straw-based composites (WSC) and its bonding strength was evaluated by a paper tension meter. The results showed that water vapor plasma leads to the appearance of surface roughness, the generation of massive free radicals, and the introduction of oxygen-containing groups. In addition, both initial and equilibrium contact angle and the surface total free energy were significantly increased after plasma modification. These results synergistically facilitate the spread and permeation of adhesive onto the WOS and thus improve the bonding strength of all prepared WSCs. A good linear relationship between bonding strength and surface roughness parameters, contact angles, and total free energy were observed. In general, this study provided a time-saving and cost-effective modification method to realize WSC manufacture. 4 Genetic mapping of a novel recessive allele for non-glaucousness in wild diploid wheat Aegilops tauschii: implications for the evolution of common wheat Cuticular wax on the aerial surface of plants has a protective function against many environmental stresses. The bluish¨Cwhitish appearance of wheat leaves and stems is called glaucousness. Most modern cultivars of polyploid wheat species exhibit the glaucous phenotype, while in a wild wheat progenitor, Ae. tauschii , both glaucous and non-glaucous accessions exist. Iw2 , a wax inhibitor locus on the short arm of chromosome 2D, is the main contributor to this phenotypic variation in Ae. tauschii , and the glaucous/non-glaucous phenotype of Ae. tauschii is usually inherited by synthetic hexaploid wheat. However, a few synthetic lines show the glaucous phenotype although the parental Ae. tauschii accessions are non-glaucous. Molecular marker genotypes indicate that the exceptional non-glaucous Ae. tauschii accessions share the same genotype in the Iw2 chromosomal region as glaucous accessions, suggesting that these accessions have a different causal locus for their phenotype. This locus was assigned to the long arm of chromosome 3D using an F2 mapping population and designated W4 , a novel glaucous locus in Ae. tauschii . The dominant W4 allele confers glaucousness, consistent with phenotypic observation of Ae. tauschii accessions and the derived synthetic lines. These results implied that glaucous accessions of Ae. tauschii with the W2W2iw2iw2W4W4 genotype could have been the D-genome donor of common wheat. 5 Comparison of a one- and two-stage mixed model analysis of Australia¡¯s National Variety Trial Southern Region wheat data A one-stage analysis of a series of variety trials involves a combined analysis of the individual plot data across trials. Together with prudent modelling of the genetic effects across trials, this is considered to be the gold standard analysis of multi-environment field trial data. An alternative is a two-stage approach in which the variety means from an analysis of the individual trials in stage one are combined into a weighted mixed model analysis in stage two to give the full set of predicted variety by environment effects and an estimate of their associated variance structure. The two-stage analysis will exactly reproduce the one-stage analysis if the full variance-covariance matrix of the means from stage one is known and is utilised in stage two. Typically the full matrix is not stored and a diagonal approximation is used. This introduces a compromise to the full analysis. The impacts of a diagonal approximation are greater in the presence of sophisticated models for the genetic effects. A second compromise is through a loss of information in estimating the non-genetic variance parameters using the two-stage approach. In this paper we draw a direct link between the one and two-stage analysis approaches for crop variety evaluation data in Australia. We now have the computing power to analyse large and complex multi-environment variety trial data sets using the one-stage approach without the need for a two-stage approximation. This should motivate a move away from the two-stage approach in a range of contexts. 6 Genetic Dissection of Wheat Kernel Hardness Using Conditional QTL Mapping of Kernel Size and Protein-Related Traits Kernel hardness (KH) is one of the primary quality parameters for common wheat ( Triticum aestivum L.) and has a major impact on milling, flour quality, and end-product properties. In addition to Puroindoline ( Pin ) mutations and differences in Pin expression, other factors, such as kernel size and protein-related traits, play noticeable roles in determining hardness, but at the quantitative trait locus (QTL) level, the influence of these factors remains unclear. In this study, genetic relationships between KH and kernel size traits and between KH and protein-related traits were demonstrated by unconditional and conditional mapping using a wheat 90K genotyping assay with a segregating population of 173 recombinant inbred lines in four environments. Eight additive QTL for KH were detected using unconditional QTL mapping analysis; these QTL were primarily distributed on chromosomes 4B, 5A, 5B, and 6D, with phenotypic variation that ranged from 0.2 to 17.7%. In addition, one pair of epistatic QTL ( QKH3B.4-65 / QKH4B.6-2 ) was identified by unconditional mapping, and this pair accounted for 1.6% of the phenotypic variation. Through conditional mapping, after excluding the influences of kernel size and protein-related traits, 14 QTL were discovered and accounted for 0.6¨C18.5% of the phenotypic variation. Of them, the stable QTL QKH4B.4-17 made the largest contribution, which was partially contributed by the kernel length (KL), kernel thickness (KT), and dry gluten content (DGC). Furthermore, QKH4B.4-17 was crucially contributed by the kernel width (KW), kernel diameter (KD), kernel protein content (KPC), and wet gluten content (WGC) and was independent of the sedimentation volume (SV) and gluten index (GI). Another major QTL, QKH5B.10-63 , was independent of the KW and KT; partly due to the variations in KL, KD, DGC, and WGC; and conclusively contributed by the KPC, SV, and GI. Seven additional QTL were only detected in the conditional analysis and were crucially contributed by kernel size or protein-related traits. These results demonstrated that kernel size and protein-related traits play significant roles in determining KH. The present study increases the understanding of the relationships between KH and kernel size and between KH and protein-related traits at the QTL level. 7 Introgression of Aegilops mutica genes into common wheat genome Introgression of genetic material from wheat wild relatives into the common wheat genome remains important. This is a natural and inexhaustible source of enrichment of the wheat gene pool with genes that improve wheat¡¯s adaptive potential. Hexaploid lines F4¨CF5 of wheat type were developed via hybridization of common wheat Aurora (AABBDD) and genome-substituted amphidiploid Aurotica (AABBTT). The hexaploid genome of the latter includes the diploid genome TT from wheat relative Aegilops mutica instead of subgenome DD of common wheat. F1¨CF3 hybrids had limited self-fertility, which had substantially increased for some derivatives in F4¨CF5. For all generations, development of the lines was accompanied by cytogenetic control of the chromosome numbers. The chromosome numbers varied in general from 33 to 46 depending upon generation. In most descendants, that number was 42 chromosomes in F4when plants with chromosome numbers 40¨C44 were selected in each generation. F5 lines originate from nine selffertile F2 plants, differ from Aurora according to some morphological characters, and have alien DNA in their genome as was demonstrated by DNA dot-blot hybridization with genomic DNA of Aegilops mutica as a probe. 8 GABA Shunt in Durum Wheat Plant responses to salinity are complex, especially when combined with other stresses, and involve many changes in gene expression and metabolic fluxes. Until now, plant stress studies have been mainly dealt only with a single stress approach. However, plants exposed to multiple stresses at the same time, a combinatorial approach reflecting real-world scenarios, show tailored responses completely different from the response to the individual stresses, due to the stress-related plasticity of plant genome and to specific metabolic modifications. In this view, recently it has been found that ¦Ã-aminobutyric acid (GABA) but not glycine betaine (GB) is accumulated in durum wheat plants under salinity only when it is combined with high nitrate and high light. In these conditions, plants show lower reactive oxygen species levels and higher photosynthetic efficiency than plants under salinity at low light. This is certainly relevant because the most of drought or salinity studies performed on cereal seedlings have been done in growth chambers under controlled culture conditions and artificial lighting set at low light. However, it is very difficult to interpret these data. To unravel the reason of GABA accumulation and its possible mode of action, in this review, all possible roles for GABA shunt under stress are considered, and an additional mechanism of action triggered by salinity and high light suggested. 9 Simultaneous Transfer of Leaf Rust and Powdery Mildew Resistance Genes from Hexaploid Triticale Cultivar Sorento into Bread Wheat Wheat powdery mildew, caused by Blumeria graminis f. sp. tritici , and wheat leaf rust, caused by Puccinia triticina Eriks, are two important diseases that severely threaten wheat production. Sorento, a hexaploid triticale cultivar from Poland, shows high resistance to the wheat powdery mildew isolate E09 and the leaf rust isolate PHT in Beijing, China. To introduce resistance genes into common wheat, Sorento was crossed with wheat line Xuezao, which is susceptible to both diseases, and the F1 hybrids were then backcrossed with Xuezao as the recurrent male parent. By marker analysis, we demonstrate that the long arm of the 2R (2RL) chromosome confers resistance to both the leaf rust and powdery mildew isolates at adult-plant and seedling stages, while the long arm of 4R (4RL) confers resistance only to powdery mildew at both stages. The chromosomal composition of BC2F3 plants containing 2R or 2RL and 4R or 4RL in the form of substitution and translocation were confirmed by GISH (genomic in situ hybridization) and FISH (fluorescence in situ hybridization). Monosomic and disomic substitutions of a wheat chromosome with chromosome 2R or 4R, as well as one 4RS-4DL/4DS-4RL reciprocal translocation homozigote and one 2RL-1DL translocation hemizigote, were recovered. Such germplasms are of great value in wheat improvement. 10 Chromosome-scale comparative sequence analysis unravels molecular mechanisms of genome evolution between two wheat cultivars (ÖÜÎå»Ô¸ç¸Õ½éÉܹý) Background: Recent improvements in DNA sequencing and genome scaffolding have paved the way to generate high-quality de novo assemblies of pseudomolecules representing complete chromosomes of wheat and its wild relatives. These assemblies form the basis to compare the evolutionary dynamics of wheat genomes on a megabase-scale. Results: Here, we provide a comparative sequence analysis of the 700-megabase chromosome 2D between two bread wheat genotypes, the old landrace Chinese Spring and the elite Swiss spring wheat line CH Campala Lr22a. Both chromosomes were assembled into megabase-sized scaffolds. There was a high degree of sequence conservation between the two chromosomes. Analysis of large structural variations revealed four large insertions/deletions (InDels) of 100 kb. Based on the molecular signatures at the breakpoints, unequal crossing over and double-strand break repair were identified as the evolutionary mechanisms that caused these InDels. Three of the large InDels affected copy number of NLRs, a gene family involved in plant immunity. Analysis of single nucleotide polymorphism (SNP) density revealed three haploblocks of 8 Mb, 9 Mb and 48 Mb with a 35-fold increased SNP density compared to the rest of the chromosome. Gene content across the two chromosomes was highly conserved. Ninety-nine percent of the genic sequences were present in both genotypes and the fraction of unique genes ranged from 0.36 to 0.63%. Conclusions: This comparative analysis of two high-quality chromosome assemblies enabled a comprehensive assessment of large structural variations and gene content. The insight obtained from this analysis will form the basis of future wheat pan-genome studies. 11 Characterization of gluten proteins and celiac disease-related immunogenic epitopes in the Triticeae: cereal domestication and breeding contributed to decrease the content of gliadins and gluten Wheat proteins are important for the physico-chemical properties of bread-dough and contribute to the protein intake in the human diet. In certain individuals, an immunological reactivity of the gluten protein family is strongly implicated in the etiology of celiac disease (CD) and non-celiac wheat sensitivity (NCWS). There is evidence that gluten-related disorders have increased in frequency in recent years. Gluten proteins were characterized and quantified by reversed-phase high-performance liquid chromatography (RP-HPLC) while the occurrence of CD immunogenic epitopes was searched in the gliadin sequences of Triticeae within the NCBI database. We have observed a tendency toward low content of gliadins in cultivated species compared to that of the wild ancestors in all Triticeae members. Regarding the glutenin subunits, there was no clear trend, but levels tended to be higher in cultivated species. Thousand-kernel weight is higher for domesticated and cultivated species. Quantification of DQ2- and DQ8-restricted epitopes in gliadin sequences showed a great variability in the number of CD epitopes per species and genome. A higher frequency of immunnogenic epitopes was found to be associated with genomes of the DD, BBAADD, and RR type. Durum wheats tend to have a lower content of gluten and CD immunogenic epitopes. Cultivated barley could be an alternative cereal with low immunogenic epitopes and low gluten. The results reported in this study suggest that domestication and breeding have contributed to a decrease in the content of gliadins and total gluten in the Triticeae species over time. 12 Development and Applications of a High Throughput Genotyping Tool for Polyploid Crops: Single Nucleotide Polymorphism (SNP) Array Polypoid species play significant roles in agriculture and food production. Many crop species are polyploid, such as potato, wheat, strawberry, and sugarcane. Genotyping has been a daunting task for genetic studies of polyploid crops, which lags far behind the diploid crop species. Single nucleotide polymorphism (SNP) array is considered to be one of, high-throughput, relatively cost-efficient and automated genotyping approaches. However, there are significant challenges for SNP identification in complex, polyploid genomes, which has seriously slowed SNP discovery and array development in polyploid species. Ploidy is a significant factor impacting SNP qualities and validation rates of SNP markers in SNP arrays, which has been proven to be a very important tool for genetic studies and molecular breeding. In this review, we (1) discussed the pros and cons of SNP array in general for high throughput genotyping, (2) presented the challenges of and solutions to SNP calling in polyploid species, (3) summarized the SNP selection criteria and considerations of SNP array design for polyploid species, (4) illustrated SNP array applications in several different polyploid crop species, then (5) discussed challenges, available software, and their accuracy comparisons for genotype calling based on SNP array data in polyploids, and finally (6) provided a series of SNP array design and genotype calling recommendations. This review presents a complete overview of SNP array development and applications in polypoid crops, which will benefit the research in molecular breeding and genetics of crops with complex genomes. 13 Decomposing Additive Genetic Variance Revealed Novel Insights into Trait Evolution in Synthetic Hexaploid Wheat Whole genome duplication (WGD) is an evolutionary phenomenon, which causes significant changes to genomic structure and trait architecture. In recent years, a number of studies decomposed the additive genetic variance explained by different sets of variants. However, they investigated diploid populations only and none of the studies examined any polyploid organism. In this research, we extended the application of this approach to polyploids, to differentiate the additive variance explained by the three subgenomes and seven sets of homoeologous chromosomes in synthetic allohexaploid wheat (SHW) to gain a better understanding of trait evolution after WGD. Our SHW population was generated by crossing improved durum parents ( Triticum turgidum; 2n = 4x = 28, AABB subgenomes) with the progenitor species Aegilops tauschii (syn Ae. squarrosa, T. tauschii ; 2n = 2x = 14, DD subgenome). The population was phenotyped for 10 fungal/nematode resistance traits as well as two abiotic stresses. We showed that the wild D subgenome dominated the additive effect and this dominance affected the A more than the B subgenome. We provide evidence that this dominance was not inflated by population structure, relatedness among individuals or by longer linkage disequilibrium blocks observed in the D subgenome within the population used for this study. The cumulative size of the three homoeologs of the seven chromosomal groups showed a weak but significant positive correlation with their cumulative explained additive variance. Furthermore, an average of 69% for each chromosomal group's cumulative additive variance came from one homoeolog that had the highest explained variance within the group across all 12 traits. We hypothesize that structural and functional changes during diploidization may explain chromosomal group relations as allopolyploids keep balanced dosage for many genes. Our results contribute to a better understanding of trait evolution mechanisms in polyploidy, which will facilitate the effective utilization of wheat wild relatives in breeding. 14 The Effect of Grain Position on Genetic Improvement of Grain Number and Thousand Grain Weight in Winter Wheat in North China Genetic improvements have significantly contributed to wheat production. Five wheat cultivars¡ªwidely grown in north China in the 1950s, 1990s, or 2010s¡ªwere grown in field experiments conducted in the 2014¨C2015 and 2015¨C2016 growing seasons. This study evaluated the genetic progress in wheat grain yield and its related traits in north China and explored how breeding and selection have influenced grain numbers and weights within spikelets in the past 60 years. The results showed that the significant increases in grain yield in the past 60 years were mainly due to increases in grain number per spike and grain weight, while spike number per m2 has not changed significantly. Improvements in thousand grain weight (TGW) from the 1950s to 2010s have occurred at four grain positions (G1 to G4). The relative contribution of G4 to TGW increased over time, but was much less than the contributions of G1, G2, and G3. Indeed, the average grain weight at G4 was much less than that of 1000 grains. The increase in grain number per spike since the 1950s was mainly due to an increase in grain number at G1, G2 and G3, with the relative contribution of grain position to grain number being G1 G2 G3 G4. Dwarfing genes increased grain number per spike and grain number at G3 and G4, but not TGW. In future, yields could be boosted by enhancing grain weight at G4 and grain number at G3 and G4, while maintaining those at G1 and G2. 15 Inheritance and Linkage of Virulence Genes in Chinese Predominant Race CYR32 of the Wheat Stripe Rust Pathogen Puccinia striiformis f. sp. tritici Puccinia striiformis f.sp. tritici ( Pst ) is the causal agent of stripe (yellow) rust on wheat. It seriously threatens wheat production worldwide. The obligate biotrophic fungus is highly capable of producing new virulent races that can overcome resistance. Studying the inheritance of Pst virulence using the classical genetic approach was not possible until the recent discovery of its sexual stage on barberry plants. In the present study, 127 progeny isolates were obtained by selfing a representative Chinese Yellow Rust (CYR) race, CYR32, on Berberis aggregate . The parental isolate and progeny isolates were characterized by testing them on 25 wheat lines with different Yr genes for resistance and 10 simple sequence repeat (SSR) markers. The 127 progeny isolates were classified into 27 virulence phenotypes (VPs), and 65 multi-locus genotypes (MLGs). All progeny isolates and the parental isolate were avirulent to Yr5, Yr8, Yr10, Yr15, Yr24, Yr26, Yr32 , and YrTr1 ; but virulent to Yr1, Yr2, Yr3, Yr4, Yr25, Yr44 , and Yr76 . The VPs of the parental isolate to nine Yr genes ( Yr6, Yr7, Yr9, Yr17, Yr27, Yr28, Yr43, YrA , and YrExp2 ) and the avirulence phenotype to YrSP were found to be heterozygous. Based on the segregation of the virulence/avirulence phenotypes, we found that the VPs to Yr7, Yr28, Yr43 , and YrExp2 were controlled by a dominant gene; those to Yr6, Yr9 , and YrA ( Yr73, Yr74 ) by two dominant genes; those to Yr17 and Yr27 by one dominant and one recessive gene; and the avirulence phenotype to YrSP by two complementary dominant genes. Molecular mapping revealed the linkage of 10 virulence/avirulence genes. Comparison of the inheritance modes of the virulence/avirulence genes in this study with previous studies indicated complex interactions between virulence genes in the pathogen and resistance genes in wheat lines. The results are useful for understanding the plant-pathogen interactions and developing wheat cultivars with effective and durable resistance. 16 Genome-Wide Association Analyses Identify QTL Hotspots for Yield and Component Traits in Durum Wheat Grown under Yield Potential, Drought, and Heat Stress Environments Understanding the genetic bases of economically important traits is fundamentally important in enhancing genetic gains in durum wheat. In this study, a durum panel of 208 lines (comprised of elite materials and exotics from the International Maize and Wheat Improvement Center gene bank) were subjected to genome wide association study (GWAS) using 6,211 DArTseq single nucleotide polymorphisms (SNPs). The panel was phenotyped under yield potential (YP), drought stress (DT), and heat stress (HT) conditions for 2 years. Mean yield of the panel was reduced by 72% (to 1.64 t/ha) under HT and by 60% (to 2.33 t/ha) under DT, compared to YP (5.79 t/ha). Whereas, the mean yield of the panel under HT was 30% less than under DT. GWAS identified the largest number of significant marker-trait associations on chromosomes 2A and 2B with p -values 10−06 to 10−03 and the markers from the whole study explained 7¨C25% variation in the traits. Common markers were identified for stress tolerance indices: stress susceptibility index, stress tolerance, and stress tolerance index estimated for the traits under DT (82 cM on 2B) and HT (68 and 83 cM on 3B; 25 cM on 7A). GWAS of irrigated (YP and HT combined), stressed (DT and HT combined), combined analysis of three environments (YP + DT + HT), and its comparison with trait per se and stress indices identified QTL hotspots on chromosomes 2A (54¨C70 cM) and 2B (75¨C82 cM). This study enhances our knowledge about the molecular markers associated with grain yield and its components under different stress conditions. It identifies several marker-trait associations for further exploration and validation for marker-assisted breeding. 17 Intercropping with wheat lowers nutrient uptake and biomass accumulation of maize, but increases photosynthetic rate of the ear leaf Intercropping is an ancient agricultural practice that provides a possible pathway for sustainable increases in crop yields. Here, we determine how competition with wheat affects nutrient uptake (nitrogen and phosphorus) and leaf traits, such as photosynthetic rate, in maize. In a field experiment, maize was planted as a sole crop, in three different intercrop configurations with wheat (a replacement intercrop and two add-row intercrops), and as a skip-row system with one out of each three maize rows omitted. Nitrogen and phosphorus uptake were determined at flowering and maturity. Specific leaf area, leaf nitrogen concentration, chlorophyll content, and photosynthetic rate of the ear leaf were determined at flowering. Nitrogen and phosphorus concentrations were significantly lower in intercropped maize than in sole maize and skip-row maize at flowering, but these differences were smaller at maturity. At flowering, specific leaf area was significantly greater in intercrops than in skip-row maize. Leaf nitrogen concentration was significantly lower in add-row intercrops than in sole maize, skip-row maize or maize in the replacement intercrop. Leaf chlorophyll content was highest in sole and skip-row maize, intermediate in maize in the replacement intercrop, and lowest in maize grown in add-row intercrops. On the contrary, photosynthetic rate was significantly higher in the replacement intercrop than in sole maize, skip-row maize and the intercrop with an additional maize row. The findings indicate that competition with intercropped wheat severely constrained nutrient uptake in maize, while photosynthetic rate of the ear leaf was not negatively affected. Possible mechanisms for higher photosynthesis rate at lower leaf nitrogen content in intercropped maize are discussed. 18 Durum Wheat Landraces from East and West Regions of the Mediterranean Basin Are Genetically Distinct for Yield Components and Phenology Genetic diversity of durum wheat landraces is a powerful tool for the introgression of new alleles of commercial interest in breeding programs. In a previous study, our team structured a collection of 172 durum wheat landraces from 21 Mediterranean countries in four genetic populations related to their geographical origin: east Mediterranean (17), east Balkan and Turkey (23), west Balkan and Egypt (25), and West Mediterranean (73), leaving 34 genotypes as admixed, and association mapping was carried out for important agronomic traits. Using a subset of this collection, the current study identified 23 marker alleles with a differential frequency in landraces from east and west regions of the Mediterranean Basin, which affected important agronomic traits. Eastern landraces had higher frequencies than the western ones of alleles increasing the number of spikes (wPt-5385 on chromosome 1B), grains per m2 (wPt-0841 on chromosome 7B), and grain filling duration (7 significant marker trait associations). Eastern landraces had higher frequencies of marker alleles located on chromosomes 4A, 5B, and 6B associated with reduced cycle length, and lighter grains than the western ones. Also for lower kernel weight, four marker alleles were located on chromosome 1A. Breeders may use the molecular markers identified in the current study for improving yield under specific Mediterranean environments. 19 Influence of cadmium and phosphorus enhance absorption and membrane damage in wheat seedlings grown in nutrient medium The effects of cadmium (Cd) and their amelioration with phosphorus (P) on plant growth, antioxidative components, and accumulation of Cd, iron (Fe), and zinc (Zn) were studied in wheat ( Triticum aestivum L.) seedlings. Reduced biomass and chlorophyll contents under the influence of Cd were observed to be increased on P application. As compared to control, the content of NP-SH, proline, and cysteine were observed to be increased in Cd treated seedlings which was also comparatively higher in Cd with P exposed seedlings. The activities of CAT, POX, SOD, APX, and GR were increased both in root and shoot at lower dose of Cd but reduced at higher dose, while P application enhanced the activity of these enzymes even at higher dose. Application of P, reduced the uptake of Cd but enhanced the accumulation of Fe and Zn both in root and shoot tissue. A close relationship existed between lipid peroxidation and tissue metal concentration.
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The wheat Stb6 gene controlling agene-for-gene resistance to Zymoseptoria tritici encodes a wall-associated kinase-like protein Nature Genetics Feb. 2018 ÓÉÓÚϵͳÎÊÌ⣬ÏÖÔÚÕâƪÎÄÕÂÔÚÏ߲鲻µ½ÁË£¬ÒÔϵļò½éÊǸÃÎÄÔÚ 2016 ÄêÒ»´Î»áÒéµÄÕªÒª¡£ µ¼¶Á£º½ÓÏÂÀ´µÄÇ°ËÄƪÎÄÕ¶¼ÊÇΧÈÆSeptoria tritici blotch (STB)À´Õ¹¿ªµÄ£¬µÚһƪ·¢ÏÖ¿¹²¡»ùÒò·ûºÏgene-for-geneÄ£ÐÍ£¬¸úÒ»°ãµÄ¸¯Éú¾ú¿¹²¡¡° reverse gene-for-gen¡±Ä£ÐͲ»Ò»Ñù£¬ÕâÒ²¾ÍÊÇΪʲôÄÜ·¢NGµÄÔ­Òò°É¡£ Z. tritici is an ascomycete fungus that causesSeptoria tritici blotch (STB), a globally economically damaging foliar disease of wheat. Resistance to STB is an important target in wheat breeding and during the past several decades at least 18 major resistance loci, most of which confer an isolate-specific resistance, have been identified and genetically mapped. However, none of these have so far been cloned. Stb6 is the most well-characterized resistance gene that controls Z. tritici isolates carrying a matching avirulence gene AvrStb6 via an unknown mechanism not involving HR. Here we report the isolation of Stb6 using a combination of map-based cloning, VIGS, TILLING and stable wheat transformation. We show that Stb6 encodes a transmembrane protein with an extracellular galacturonan-binding domain and a cytoplasmic kinase domain, and thus is a member of the wall-associated receptor kinase(WAK) gene family. This finding is in line with Z. tritici being a pathogen that colonizes leaf apoplast and does not penetrate host plant cells or develop appressoria. We also show that the common disease susceptibility alleles contain non-synonymous mutations corresponding to changes at the conserved amino acid residues in the kinase domain of the encoded protein, suggesting a mechanism of susceptibility which involves a loss of kinase activity. To our knowledge, this is the first report demonstrating control of gene-for-gene resistance by a WAK-like protein in plants. https://www.ismpmi.org/congress/2016/abstracts/pages/abstractdetail.aspx?LID=689 2. A small secreted protein in Zymoseptoria tritici is responsible for avirulence on wheat cultivars carrying the Stb6 resistance gene New Phytologist Feb. 2017 µ¼¶Á£ºµÚ¶þƪµ½µÚËÄƪ½²µÄÊDz¡Ô­¾úÕâ¸ö½Ç¶ÈµÄ»ùÒò¿Ë¡£¬ AvrStb6 ÕýºÃÊÇÉÏÎÄÖиú Stb6 ¶ÔÓ¦µÄÒò×Ó¡£ Zymoseptoria tritici is the causal agent of Septoria tritici blotch, a major pathogen of wheat globally and the most damaging pathogen of wheat in Europe. A gene-for-gene (GFG) interaction between Z. tritici and wheat cultivars carrying the Stb6 resistance gene has been postulated for many years, but the genes have not been identified. We identified AvrStb6 by combining quantitative trait locus mapping in a cross between two Swiss strains with a genome-wide association study using a natural population of c. 100 strains fromFrance. We functionally validated AvrStb6 using ectopic transformations. AvrStb6 encodes a small, cysteine-rich, secreted protein that produces an avirulence phenotype on wheat cultivars carrying the Stb6 resistance gene. We found 16 nonsynonymous single nucleotide polymorphisms among the tested strains, indicating that AvrStb6 is evolving very rapidly. AvrStb6 is located in a highly polymorphic subtelomeric region and is surrounded by transposable elements, which may facilitate its rapid evolution to overcome Stb6 resistance. AvrStb6 is the first avirulence gene to be functionally validated in Z. tritici, contributing to our understanding of avirulence in apoplastic pathogens and the mechanisms underlying GFGinteractions between Z. tritici and wheat. http://onlinelibrary.wiley.com/wol1/doi/10.1111/nph.14434/full 3. Have we finally opened the door to understanding Septoria tritici blotch disease in wheat? New Phytologist Mar. 2017 ÕâƪÊǵڶþƪµÄÆÀÂÛÐÔÎÄÕ The ability of a fungal pathogen to colonize and infect a plant is a special and unique process. Nearly all plant-fungal interactions occur out of sight as plants have evolved complex systems to recognize and resist most pathogens. However, there is a low percentage of fungal species that have evolved tools to circumvent host defense and cause disease, and it is the basis of these interactions which is of intense interest amongst plant and microbe researchers. It is now recognized that pathogens facilitate disease by secreting virulence molecules (also known as effectors) that target and manipulate endogenous host processes. Consequently, the identification and characterization of these effectors has been the focus of the molecular plant pathology field now for several decades, not only to understand the basis of disease, but also to underpin novel disease management strategies. In the study by Zhong et al . in this issue of New Phytologist (pp.619¨C631), the authors have identified the first effector from the devastating wheat pathogen Zymoseptoria tritici involved in a gene-for-gene interaction with a host resistance protein and, in doing so,have opened the door to finally begin to understand how it inflicts devastating yield losses. http://onlinelibrary.wiley.com/doi/10.1111/nph.14502/full 4. Characterization of an antimicrobial and phytotoxic ribonuclease secreted by the fungal wheat pathogen Zymoseptoria tritici New Phytologist Sept. 2017 µ¼¶Á£ºµÚËÄƪÈÔÈ»ÊDz¡Ô­¾ú½Ç¶È¿Ë¡Ö²¡Òò×Ó£¬effector Zt6£¬Õâ¸öÒò×ÓÓ¦¸Ã·ûºÏReverse gene-for-gene model£¬ÒòΪËüÊÇÒ»¸ö¶¾Ëص°°×£¬²»¹ýÕâ¸öÑо¿µÄ´´ÐµãÔÚÓÚ·¢ÏÖÕâ¸öÒò×ÓÓÐË«ÖØЧÓ㬳ýÁË×öΪ¶¾ËØÇÖȾËÞÖ÷ÒÔÍ⣬»¹ÄÜ×öΪantimicrobialÒò×ÓÀ´ÒÖÖÆÆäËü²¡Ô­¾úµÄÉú³¤½ø¶ø¼õÉÙ¾ºÕù£¨ÕâЩ¶¾ËØÒªÊÇÄܱ»Ìá´¿¿ª·¢³É¹ãÆ׿¹ÉúËØ»òÕß¿¹Õæ¾úÒ©ÎÄÇ¿ÉÊÇÁ˲»µÃµÄ³É¹û£¡£© The fungus Zymoseptoria tritici is the causal agent of SeptoriaTritici Blotch (STB) disease of wheat leaves. Zymoseptoria tritici secretes many functionally uncharacterized effector proteins during infection. Here, we characterized a secreted ribonuclease (Zt6) with an unusual biphasic expression pattern. Transient expression systems were used to characterize Zt6, and mutants thereof, in both host and non-hostplants. Cell-free protein expression systems monitored the impact of Zt6protein on functional ribosomes, and in vitro assays of cells treated with recombinant Zt6 determined toxicity against bacteria, yeasts, and filamentous fungi. We demonstrated that Zt6 is a functional ribonuclease and that phytotoxicity is dependent on both the presence of a 22-amino-acid N-terminal ¡®loop¡¯ region and its catalytic activity.Zt6 selectively cleaves both plant and animal rRNA species and is toxic to wheat, tobacco, bacterial and yeast cells, but not to Z. tritici itself. Zt6 is the first Z. tritici effector demonstrated to have a likely dual functionality. The expression pattern of Zt6 and potent toxicity towards microorganisms suggest that, although it may contribute to the execution of wheat cell death, it is also likely to have an important secondary function in antimicrobial competition and nice protection. http://onlinelibrary.wiley.com/doi/10.1111/nph.14786/full 5. The hijacking of a receptor kinase-driven pathway bya wheat fungal pathogen leads to disease Science Advances Oct. 2016 µ¼¶Á£ºÕâƪÊǾ­µäµÄreversegene-for-gene model µÄÑо¿ÎÄÕ£¬³ö×ÔÎÒÊ·´ó¸çÖ®ÊÖ£¡ Necrotrophic pathogens live and feed on dying tissue, but their interactions with plants are not well understood compared to biotrophic pathogens. The wheat Snn1 gene confers susceptibility to strains of the necrotrophic pathogen Parastagonospora nodorum that produce the SnTox1 protein. We report the positional cloning of Snn1, a member of the wall-associated kinase class of receptors, which are known to drive pathways for biotrophic pathogen resistance. Recognition of SnTox1by Snn1 activates programmed cell death, which allows this necrotroph to gain nutrients and sporulate. These results demonstrate that necrotrophic pathogens such as P. nodorum hijack host molecular pathways that are typically involved in resistance to biotrophic pathogens, revealing the complex nature of susceptibility and resistance in necrotrophic and biotrophic pathogen interactions with plants. http://advances.sciencemag.org/content/2/10/e1600822 Á½Æª×ÛÊöÐÔÎÄÕ£º ÎÄÕ·¢µÄÔÙÅ££¬Óõ½ÌïÀï²ÅËã³É¹¦£¡ËÎÀÏʦǰÌìµÄÍÆËÍ¡° ¿¹²¡ÓýÖÖÖ®ÎÒåÚÏ롱ÎÒÕæÊǸÐÊÜÆÄÉÎÒ×ÔÉíÆäʵ¾ÍÊÇ´Ó·Ö×ÓÖ²²¡µÄ±³¾°×ªµ½ÓýÖÖ¿ÎÌâ×飬Æð³õÒ²ÊDz»ÄÜÌ«Àí½âÓýÖÖʵ¼ùÖеÄһЩ˼άºÍ²Ù×÷£¬µ«ÊÇÏÖÔÚÔ½À´Ô½Ã÷°×£¬ÔÚСÂóÑо¿ÁìÓòÖУ¬ÀíÂÛºÍÓ¦Óû¹ÊÇÓкܴóµÄÒ»¸öºè¹µµÄ¡£²»¹ýºè¹µÔ½´ó£¬ÎÒÃÇÕâЩСÂóÑо¿ÕßÃDzÅÔ½Óзܶ·µÄ¶¯Á¦ºÍ¼ÛÖµ ! 6. Navigating complexity to breed disease-resistant crops Nature Reviews Genetics Jan. 2018 Plant diseases are responsible for substantial crop losses each year and pose a threat to global food security and agricultural sustainability. Improving crop resistance to pathogens through breeding is an environmentally sound method for managing disease and minimizing these losses. However, it is challenging to breed varieties with resistance that is effective, stable and broad-spectrum. Recent advances in genetic and genomic technologies have contributed to a better understanding of the complexity of host-pathogen interactions and have identified some of the genes and mechanisms that underlie resistance. This new knowledge is benefiting crop improvement through better-informed breeding strategies that utilize diverse forms of resistance at different scales, from the genome of a single plant to the plant varieties deployed across a region. https://www.nature.com/articles/nrg.2017.82 7. A review of wheat diseases¡ªa field perspective £¨ÕâƪÎÒÃÇÔÚ 10/24 ÍÆË͹ý£º СÂ󲡺¦×ÛÊö--³ýÁË°×·Û²¡ £© Molecular Plant Pathology Dec. 2017 Wheat is one of the primary staple foods throughout the planet.Significant yield gains in wheat production over the past 40 years have resulted in a steady balance of supply versus demand. However, predicted global population growth rates and dietary changes mean that substantial yield gains over the next several decades will be needed to meet this escalating demand. Akey component to meeting this challenge is better management of fungal incited diseases, which can be responsible for 15%¨C20% yield losses per annum.Prominent diseases of wheat that currently contribute to these losses include the rusts, blotches and head blight/scab. Other recently emerged or relatively unnoticed diseases, such as wheat blast and spot blotch, respectively, also threaten grain production. This review seeks to provide an overview of the impact, distribution and management strategies of these diseases. In addition, the biology of the pathogens and the molecular basis of their interaction with wheat are discussed. http://onlinelibrary.wiley.com/doi/10.1111/mpp.12618/full »¶Ó­¹Ø×¢ ¡°Ð¡ÂóÑо¿ÁªÃË¡±£¬ Á˽âСÂóнøչͶ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·¢²¼µÈÇëÁªÏµ£º wheatgenome
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2018ÄêµÚÎåÖÜСÂóÎÄÏ×ÍƼö£¨2.4£© 1 The goat grass genome¡¯s role in wheat improvement Nature plantsÉÏÃæµÄһƪµãÆÀ£¬Í¨Ñ¶×÷ÕßÊǺÎÖл¢ÀÏʦ¡£ The recently published reference genome of Aegilops tauschii provides new insights into the originator of the D genome donor of hexaploid wheat. This will be a foundation for exploring the genomic diversity underpinning adaptive traits in wheat, and ultimately advance wheat improvement efforts. 2 Identification of QTL conferring resistance to stripe rust (Puccinia striiformis f. sp. hordei) and leaf rust (Puccinia hordei) in barley using nested association mapping (NAM) The biotrophic rust fungi Puccinia hordei and Puccinia striiformis are important barley pathogens with the potential to cause high yield losses through an epidemic spread. The identification of QTL conferring resistance to these pathogens is the basis for targeted breeding approaches aiming to improve stripe rust and leaf rust resistance of modern cultivars. Exploiting the allelic richness of wild barley accessions proved to be a valuable tool to broaden the genetic base of resistance of barley cultivars. In this study, SNP-based nested association mapping (NAM) was performed to map stripe rust and leaf rust resistance QTL in the barley NAM population HEB-25, comprising 1,420 lines derived from BC1S3 generation. By scoring the percentage of infected leaf area, followed by calculation of the area under the disease progress curve and the average ordinate during a two-year field trial, a large variability of resistance across and within HEB-25 families was observed. NAM based on 5,715 informative SNPs resulted in the identification of twelve and eleven robust QTL for resistance against stripe rust and leaf rust, respectively. Out of these, eight QTL for stripe rust and two QTL for leaf rust are considered novel showing no overlap with previously reported resistance QTL. Overall, resistance to both pathogens in HEB-25 is most likely due to the accumulation of numerous small effect loci. In addition, the NAM results indicate that the 25 wild donor QTL alleles present in HEB-25 strongly differ in regard to their individual effect on rust resistance. In future, the NAM concept will allow to select and combine individual wild barley alleles from different HEB parents to increase rust resistance in barley. The HEB-25 results will support to unravel the genetic basis of rust resistance in barley, and to improve resistance against stripe rust and leaf rust of modern barley cultivars. 3 Phosphorus Alters Starch Morphology and Gene Expression Related to Starch Biosynthesis and Degradation in Wheat Grain Phosphorus is an essential plant macronutrient which profoundly affects the yield and quality of wheat starch. In this study, scanning electron microscopy showed that P fertilizer amount (0, 46, and 92 kg P ha−1) had no significant effect on the shape of starch granules in wheat (cv. Xindong 20) grain. However, confocal laser scanning microscopy with 3-(4-carboxybenzoyl) quinoline-2-carboxaldehyde and methanolic merbromin stains indicated that P amount influenced the microstructure of the starch granules. Starch granules from the 46 kg P ha−1 treatment released significantly more reducing sugars than those from the 0 and 92 kg P ha−1 treatments during digestion with alpha-amylase and amyloglucosidase digestion. Phosphorus application (especially the 46 kg P ha−1 treatments) significantly increased the relative expression of genes related to starch synthesis (especially during early to mid-grain filling) and starch degradation (especially during mid- and late grain filling). Phosphorus application also increased the transcript abundance of amylase genes at the periphery of the endosperm. We propose that P application, especially the 46 kg P ha−1 treatment, enhanced channels in wheat starch granules. These channels facilitated the transport of substances required for starch biosynthesis, thus increasing starch accumulation in wheat endosperm. These results provide insight into the potential mechanisms through which P influences the microstructure and biosynthesis of wheat starch. 4 Enhancement of Germination, Seedling Growth, and Oxidative Metabolism of Barley under Simulated Acid Rain Stress by Exogenous Trehalose This study investigated the effects of simulated acid rain on germination, seedling growth, and oxidative metabolism in barley (Hordeum vulgare L.). Barley seeds were separately soaked in trehalose solutions of 5, 10, and 15 mM concentration or distilled water (the control). Results showed inhibited seed germination, increased foliar damage, decreased chlorophyll content, damaged roots, and delayed seedlings growth in barley when exposed to acid rain at pH 3.0. Although the treatment with acid rain increased the activities of peroxidase, catalase, and plasma membrane H+-ATPase, membrane permeability and malondialdehyde content still increased significantly. However, the addition of exogenous trehalose significantly alleviated the negative effect of acid rain on growth inhibition of barley and increased total leaf chlorophyll due to an increase of chlorophyll a content. Trehalose also increased catalase and peroxidase activity, which led to an increase in the antioxidant capacity and a balance in production and scavenging of free radicals. Plasma membrane H+-ATPase activities of roots and leaves also increased with trehalose and maintained stable pH of the cytoplasm of roots and leaf cells under low pH. The 10 mM trehalose pretreatment was enough to alleviative the negative effects of acid rain in barley 5 Genome-Wide Comparative Analysis of Flowering-Related Genes in Arabidopsis, Wheat, and Barley Early flowering is an important trait influencing grain yield and quality in wheat ( Triticum aestivum L.) and barley ( Hordeum vulgare L.) in short-season cropping regions. However, due to large and complex genomes of these species, direct identification of flowering genes and their molecular characterization remain challenging. Here, we used a bioinformatic approach to predict flowering-related genes in wheat and barley from 190 known Arabidopsis ( Arabidopsis thaliana (L.) Heynh.) flowering genes. We identified 900 and 275 putative orthologs in wheat and barley, respectively. The annotated flowering-related genes were clustered into 144 orthologous groups with one-to-one, one-to-many, many-to-one, and many-to-many orthology relationships. Our approach was further validated by domain and phylogenetic analyses of flowering-related proteins and comparative analysis of publicly available microarray data sets for in silico expression profiling of flowering-related genes in 13 different developmental stages of wheat and barley. These further analyses showed that orthologous gene pairs in three critical flowering gene families (PEBP, MADS, and BBX) exhibited similar expression patterns among 13 developmental stages in wheat and barley, suggesting similar functions among the orthologous genes with sequence and expression similarities. The predicted candidate flowering genes can be confirmed and incorporated into molecular breeding for early flowering wheat and barley in short-season cropping regions. 6 Genomic, Biochemical, and Modeling Analyses of Asparagine Synthetases from Wheat Asparagine synthetase activity in cereals has become an important issue with the discovery that free asparagine concentration determines the potential for formation of acrylamide, a probably carcinogenic processing contaminant, in baked cereal products. Asparagine synthetase catalyses the ATP-dependent transfer of the amino group of glutamine to a molecule of aspartate to generate glutamate and asparagine. Here, asparagine synthetase-encoding polymerase chain reaction (PCR) products were amplified from wheat ( Triticum aestivum ) cv. Spark cDNA. The encoded proteins were assigned the names TaASN1, TaASN2, and TaASN3 on the basis of comparisons with other wheat and cereal asparagine synthetases. Although very similar to each other they differed slightly in size, with molecular masses of 65.49, 65.06, and 66.24 kDa, respectively. Chromosomal positions and scaffold references were established for TaASN1, TaASN2 , and TaASN3 , and a fourth, more recently identified gene, TaASN4 . TaASN1, TaASN2 , and TaASN4 were all found to be single copy genes, located on chromosomes 5, 3, and 4, respectively, of each genome (A, B, and D), although variety Chinese Spring lacked a TaASN2 gene in the B genome. Two copies of TaASN3 were found on chromosome 1 of each genome, and these were given the names TaASN3.1 and TaASN3.2 . The TaASN1, TaASN2, and TaASN3 PCR products were heterologously expressed in Escherichia coli ( TaASN4 was not investigated in this part of the study). Western blot analysis identified two monoclonal antibodies that recognized the three proteins, but did not distinguish between them, despite being raised to epitopes SKKPRMIEVAAP and GGSNKPGVMNTV in the variable C-terminal regions of the proteins. The heterologously expressed TaASN1 and TaASN2 proteins were found to be active asparagine synthetases, producing asparagine and glutamate from glutamine and aspartate. The asparagine synthetase reaction was modeled using SNOOPY® software and information from the BRENDA database to generate differential equations to describe the reaction stages, based on mass action kinetics. Experimental data from the reactions catalyzed by TaASN1 and TaASN2 were entered into the model using Copasi, enabling values to be determined for kinetic parameters. Both the reaction data and the modeling showed that the enzymes continued to produce glutamate even when the synthesis of asparagine had ceased due to a lack of aspartate. 7 Comparative Transcriptome Profiles of Near-Isogenic Hexaploid Wheat Lines Differing for Effective Alleles at the 2DL FHB Resistance QTL Fusarium head blight (FHB), caused by the fungus Fusarium graminearum, represents one of the major wheat diseases worldwide, determining severe yield losses and reduction of grain quality due to the accumulation of mycotoxins. The molecular response associated with the wheat 2DL FHB resistance QTL was mined through a comprehensive transcriptomic analysis of the early response to F. graminearum infection, at 3 days post-inoculation, in spikelets and rachis. The analyses were conducted on two near isogenic lines (NILs) differing for the presence of the 2DL QTL (2-2618, resistant 2DL+ and 2-2890, susceptible null). The general response to fungal infection in terms of mRNAs accumulation trend was similar in both NILs, even though involving an higher number of DEGs in the susceptible NIL, and included down-regulation of the primary and energy metabolism, up-regulation of enzymes implicated in lignin and phenylpropanoid biosynthesis, activation of hormons biosynthesis and signal transduction pathways and genes involved in redox homeostasis and transcriptional regulation. The search for candidate genes with expression profiles associated with the 2DL QTL for FHB resistance led to the discovery of processes differentially modulated in the R and S NILs related to cell wall metabolism, sugar and JA signaling, signal reception and transduction, regulation of the redox status and transcription factors. Wheat FHB response-related miRNAs differentially regulated were also identified as putatively implicated in the superoxide dismutase activities and affecting genes regulating responses to biotic/abiotic stresses and auxin signaling. Altered gene expression was also observed for fungal non-codingRNAs. The putative targets of two of these were represented by the wheat gene WIR1A, involved in resistance response, and a gene encoding a jacalin-related lectin protein, which participate in biotic and abiotic stress response, supporting the presence of a cross-talk between the plant and the fungus. ÕâƪÎÄÕÂÓЩÒýÏÓÒÉ£¬Í¨¹ýת¼×éÑо¿2DL QTLÒѾ­Óм¸ÆªÁË£¬ÕâƪÓÖÒýÓÃÁ˼¸ÆªÄØ¡£¡£¡£¡£ 8 Impact of Timing and Method of Virus Inoculation on the Severity of Wheat Streak Mosaic Disease Wheat streak mosaic virus (WSMV), transmitted by the wheat curl mite Aceria tosichella , frequently causes significant yield loss in winter wheat throughout the Great Plains of the United States. A field study was conducted in the 2013¨C14 and 2014¨C15 growing seasons to compare the impact of timing of WSMV inoculation (early fall, late fall, or early spring) and method of inoculation (mite or mechanical) on susceptibility of winter wheat cultivars Mace (resistant) and Overland (susceptible). Relative chlorophyll content, WSMV incidence, and yield components were determined. The greatest WSMV infection occurred for Overland, with the early fall inoculations resulting in the highest WSMV infection rate (up to 97%) and the greatest yield reductions relative to the control (up to 94%). In contrast, inoculation of Mace resulted in low WSMV incidence (1 to 28.3%). The findings from this study indicate that both method of inoculation and wheat cultivar influenced severity of wheat streak mosaic; however, timing of inoculation also had a dramatic influence on disease. In addition, mite inoculation provided much more consistent infection rates and is considered a more realistic method of inoculation to measure disease impact on wheat cultivars. 9 A Genome-Wide Association Study of Field and Seedling Response to Individual Stem Rust Pathogen Races Reveals Combinations of Race-Specific Genes in North American Spring Wheat Stem rust of wheat caused by the fungal pathogen Puccinia graminis f. sp. tritici historically caused major yield losses of wheat worldwide. To understand the genetic basis of stem rust resistance in contemporary North American spring wheat, genome-wide association analysis (GWAS) was conducted on an association mapping panel comprised of 250 elite lines. The lines were evaluated in separate nurseries each inoculated with a different P. graminis f. sp. tritici race for 3 years (2013, 2015, and 2016) at Rosemount, Minnesota allowing the evaluation of race-specificity separate from the effect of environment. The lines were also challenged with the same four races at the seedling stage in a greenhouse facility at the USDA-ARS Cereal Disease Laboratory. A total of 22,310 high-quality SNPs obtained from the Infinium 90,000 SNPs chip were used to perform association analysis. We observed often negative and sometimes weak correlations between responses to different races that highlighted the abundance of race-specific resistance and the inability to predict the response of the lines across races. Markers strongly associated with resistance to the four races at seedling and field environments were identified. At the seedling stage, the most significant marker-trait associations were detected in the regions of known major genes ( Sr6, Sr7a , and Sr9b ) except for race QFCSC where a strong association was detected on chromosome arm 1AL. We postulated the presence of Sr2, Sr6, Sr7a, Sr8a, Sr9b, Sr11, Sr12, Sr24, Sr25, Sr31 , and Sr57 ( Lr34 ) in this germplasm based on phenotypic and marker data. We found over half of the panel possessed three or more Sr genes, and most commonly included various combinations of Sr6, Sr7a, Sr8a, Sr9b, Sr11, Sr12 , and Sr57 . Most of these genes confer resistance to specific P. graminis f. sp. tritici races accounting for the prevalent stem rust resistance in North American spring wheat. 10 Identification and Expression Analysis of Wheat TaGF14 Genes The 14-3-3 gene family members play key roles in various cellular processes. However, little is known about the numbers and roles of 14-3-3 genes in wheat. The aims of this study were to identify TaGF14 numbers in wheat by searching its whole genome through blast, to study the phylogenetic relationships with other plant species and to discuss the functions of TaGF14s . The results showed that common wheat harbored 20 TaGF14 genes, located on wheat chromosome groups 2, 3, 4, and 7. Out of them, eighteen TaGF14s are non-¦Å proteins, and two wheat TaGF14 genes, TaGF14i and TaGF14f , are ¦Å proteins. Phylogenetic analysis indicated that these genes were divided into six clusters: cluster 1 ( TaGF14d, TaGF14g, TaGF14j, TaGF14h, TaGF14c , and TaGF14n ); cluster 2 ( TaGF14k ); cluster 3 ( TaGF14b, TaGF14l, TaGF14m , and TaGF14s ); cluster 4 ( TaGF14a, TaGF14e , and TaGF14r ); cluster 5 ( TaGF14i and TaGF14f ); and cluster 6 ( TaGF14o, TaGF14p, TaGF14q , and TaGF14t ). Tissue-specific gene expressions suggested that all TaGF14s were likely constitutively expressed, except two genes, i.e., TaGF14p and TaGF14f . And the highest amount of TaGF14 transcripts were observed in developing grains at 20 days post anthesis (DPA), especially for TaGF14j and TaGF14l. After drought stress, five genes, i.e., TaGF14c , TaGF14d , TaGF14g , TaGF14h , and TaGF14j , were up-regulated expression under drought stress for both 1 and 6 h, suggesting these genes played vital role in combating against drought stress. However, all the TaGF14s were down-regulated expression under heat stress for both 1 and 6 h, indicating TaGF14s may be negatively associated with heat stress by reducing the expression to combat heat stress or through other pathways. These results suggested that cluster 1, e.g., TaGF14j , may participate in the whole wheat developing stages, e.g., grain-filling (starch biosynthesis) and may also participate in combating against drought stress. Subsequently, a homolog of TaGF14j , TaGF14-JM22 , were cloned by RACE and used to validate its function. Immunoblotting results showed that TaGF14-JM22 protein, closely related to TaGF14d , TaGF14g , and TaGF14j , can interact with AGP-L, SSI, SSII, SBEIIa, and SBEIIb in developing grains, suggesting that TaGF14s located on group 4 may be involved in starch biosynthesis. Therefore, it is possible to develop starch-rich wheat cultivars by modifying TaGF14s . 11 Towards a genetic road map of wheat-processing quality The elucidation of wheat-quality genetics may be seen metaphorically as a road map to greater knowledge, and also as an interlocking jigsaw puzzle. Major genes relevant to the attributes needed for wheat-processing quality have been identified, namely, protein content, grain hardness, milling yield, dough strength, dough extensibility, baking quality, starch-paste viscosity and nutritional value . 12 Variation in grain Zn concentration, and the grain ionome, in field-grown Indian wheat Wheat is an important dietary source of zinc (Zn) and other mineral elements in many countries. Dietary Zn deficiency is widespread, especially in developing countries, and breeding (genetic biofortification) through the HarvestPlus programme has recently started to deliver new wheat varieties to help alleviate this problem in South Asia. To better understand the potential of wheat to alleviate dietary Zn deficiency, this study aimed to characterise the baseline effects of genotype (G), site (E), and genotype by site interactions (GxE) on grain Zn concentration under a wide range of soil conditions in India. Field experiments were conducted on a diverse panel of 36 Indian-adapted wheat genotypes, grown on a range of soil types (pH range 4.5¨C9.5), in 2013¨C14 (five sites) and 2014¨C15 (six sites). Grain samples were analysed using inductively coupled plasma-mass spectrometry (ICP-MS). The mean grain Zn concentration of the genotypes ranged from 24.9¨C34.8 mg kg-1, averaged across site and year. Genotype and site effects were associated with 10% and 6% of the overall variation in grain Zn concentration, respectively. Whilst G x E interaction effects were evident across the panel, some genotypes had consistent rankings between sites and years. Grain Zn concentration correlated positively with grain concentrations of iron (Fe), sulphur (S), and eight other elements, but did not correlate negatively with grain yield, i.e. no yield dilution was observed. Despite a relatively small contribution of genotype to the overall variation in grain Zn concentration, due to experiments being conducted across many contrasting sites and two years, our data are consistent with reports that biofortifying wheat through breeding is likely to be effective at scale given that some genotypes performed consistently across diverse soil types. Notably, all soils in this study were probably Zn deficient and interactions between wheat genotypes and soil Zn availability/management (e.g. the use of Zn-containing fertilisers) need to be better-understood to improve Zn supply in food systems. 13 Fitness traits of deoxynivalenol and nivalenol-producing Fusarium graminearum species complex strains from wheat Fusarium graminearum of the 15-acetyl(A)deoxynivalenol(DON) chemotype is the main cause of Fusarium head blight (FHB) of wheat in south of Brazil. However, 3-ADON and nivalenol(NIV) chemotypes in other members of the species complex have been found in wheat. To improve our understanding of the pathogen biology and ecology, we assessed a range of fitness-related traits in a sample of 30 strains representatives of 15-ADON (F. graminearum), 3-ADON (F. cortaderiae and F. austroamericanum) and NIV (F. meridionale and F. cortaderiae). These included: perithecia formation on three cereal-based substrates, mycelial growth at two suboptimal temperatures, sporulation and germination, pathogenicity towards a susceptible and a moderately resistant cultivar and sensitivity to tebuconazole. The most important trait favoring F. graminearum was a two times higher sexual fertility ( 40% PPI = perithecia production index) than the other species ( 30% PPI); PPI varied among substrates (maize rice wheat). In addition, sensitivity to tebuconazole appeared lower in F. graminearum which had the only strain with EC50 1 ppm. In the pathogenicity assays, the DON-producers were generally more aggressive (1.5 to 2 ¡Á higher final severity) towards the two cultivars, with 3-ADON or 15-ADON leading to higher area under the severity curve than the NIV strains in the susceptible and moderately resistant cv., respectively. There was significant variation among strains of a same species with regards asexual fertility (mycelial growth, macroconidia production and germination), which suggested a strain- rather than a species-specific difference. These results contribute new knowledge to improve our understanding of the pathogen-related traits that may explain the dominance of certain members of the species complex in specific wheat agroecosystems. 14 The future of CRISPR technologies in agriculture Conventional plant breeding is unlikely to meet increasing food demands and other environmental challenges. By contrast, CRISPR technology is erasing barriers to genome editing and could revolutionize plant breeding. However, to fully benefit from the CRISPR revolution, we should focus on resolving its technical and regulatory uncertainties. 15 Asparagine synthetase genes (AsnS1 and AsnS2) in durum wheat: structural analysis and expression under nitrogen stress Wheat is one of the most widely grown cereal crops based on the amount of calories it provides in the human diet. Durum wheat ( Triticum turgidum ssp. durum ) is largely used for production of pasta and other products. In order to use genetic knowledge to improve the understanding of N-use efficiency, we carried out, for the first time in durum wheat, the isolation and the characterization of four members of the asparagine synthetase ( AsnS ) gene family. Phylogenetic inference clustered the Ttu - AsnS1 (1.1 and 1.2) and Ttu - AsnS2 (2.1 and 2.2) genes in AsnS gene class I, which is present in monocots and dicots. Class I genes underwent a subsequent duplication leading to the formation of two subgroups. Plants of Svevo cultivar were grown under N-stress conditions and expression of the four AsnS genes was investigated at three developmental stages (seedling, booting, and late milk development), crucial for N absorption, assimilation and remobilization. AsnS1 genes were down-regulated in N-stressed roots, stems and leaves during seedling growth and booting, but seemed to play a role in N remobilization in flag leaves during grain filling. AsnS2 genes were scarcely expressed in roots, stems, and leaves. In N-stressed spikes there was no differential expression in any of the genes. The genes were mapped in silico using a durum wheat SNP map, assigning Ttu - AsnS1 genes to chromosome 5 and Ttu - AsnS2 to chromosome 3. These findings provide a better understanding of the role of ASN genes in response to N stress in durum wheat. 16 A new opening for wheat seed production Crop plant domestication has targeted a variety of traits, including synchronous development of ovules and stamens to maximize fertilization and seed production. In wheat, with its autogamous, or self-fertilizing, flowers, this is very attractive for guaranteeing yield but extremely frustrating for a researcher trying to cross individuals of distinct genotypes, and even more so for a breeder trying to generate hybrids. Now, Okada et al. (2017) have provided a turning point by characterizing the developmental physiology of wheat florets opening after a few days post-anthesis (¡®second opening¡¯). This additional opportunity for pollination facilitates out-crossing, and provides a method to further understand the regulation of wheat flower architecture and development. 17 Unfertilized ovary pushes wheat flower open for cross-pollination Bread wheat is strongly autogamous; however, an opportunity for outcrossing occurs when self-pollination fails and florets open. The first phase of floret opening at anthesis is short and induced by lodicule turgidity. Some wheat florets re-open post-anthesis for several days, known as the 'second opening', for which the underlying mechanisms are largely unknown. We performed detailed physiological, anatomical, and histological investigations to understand the biological basis of the flower opening process. Wheat florets were observed open when the ovary was unfertilized. Unfertilized ovaries significantly increased in radial size post-anthesis, pushing the lemma and palea apart to open the florets. The absence of fertile pollen was not directly linked to this, but anther filament elongation coincided with initiation of ovary swelling. The pericarp of unfertilized ovaries did not undergo degeneration as normally seen in developing grains, instead pericarp cells remained intact and enlarged, leading to increased ovary radial size. This is a novel role for the ovary pericarp in wheat flower opening, and the knowledge is useful for facilitating cross-pollination in hybrid breeding. Ovary swelling may represent a survival mechanism in autogamous cereals such as wheat and barley, ensuring seed set in the absence of self-fertilization and increasing genetic diversity through cross-pollination. 18 Mapping and validation of a new QTL for adult-plant resistance to powdery mildew in Chinese elite bread wheat line Zhou8425B Zhou8425B is an elite wheat ( Triticum aestivum L.) line widely used as a parent in Chinese wheat breeding programs. Identification of genes for adult-plant resistance (APR) to powdery mildew in Zhou8425B is of high importance for continued controlling the disease. In the current study, the high-density Illumina iSelect 90K single-nucleotide polymorphism (SNP) array was used to map quantitative trait loci (QTL) for APR to powdery mildew in 244 recombinant inbred lines derived from the cross Zhou8425B/Chinese Spring. Inclusive composite interval mapping identified QTL on chromosomes 1B, 3B, 4B, and 7D, designated as QPm.caas - 1BL . 1 , QPm.caas - 3BS , QPm.caas - 4BL . 2, and QPm.caas - 7DS , respectively. Resistance alleles at the QPm.caas - 1BL.1 , QPm.caas - 3BS, and QPm.caas - 4BL . 2 loci were contributed by Zhou8425B, whereas that at QPm.caas - 7DS was from Chinese Spring. QPm.caas - 3BS , likely to be a new APR gene for powdery mildew resistance, was detected in all four environments. One SNP marker closely linked to QPm.caas - 3BS was transferred into a semi-thermal asymmetric reverse PCR (STARP) marker and tested on 103 commercial wheat cultivars derived from Zhou8425B. Cultivars with the resistance allele at the QPm.caas - 3BS locus had averaged maximum disease severity reduced by 5.3%. This STARP marker can be used for marker-assisted selection in improvement of the level of powdery mildew resistance in wheat breeding. 19 A new leaf rust resistance gene Lr79 mapped in chromosome 3BL from the durum wheat landrace Aus26582 Aus26582, a durum wheat landrace from the A. E. Watkins Collection, showed seedling resistance against durum-specific and common wheat-specific Puccinia triticina (Pt) pathotypes. Genetic analysis using a recombinant inbred line (RIL) population developed from a cross between Aus26582 and the susceptible parent Bansi with Australian Pt pathotype showed digenic inheritance and the underlying loci were temporarily named LrAW2 and LrAW3 . LrAW2 was located in chromosome 6BS and this study focused on characterisation of LrAW3 using RILs lacking LrAW2 . LrAW3 was incorporated into the DArTseq map of Aus26582/Bansi and was located in chromosome 3BL. Markers linked with LrAW3 were developed from the chromosome survey sequence contig 3B_10474240 in which closely-linked DArTseq markers 1128708 and 3948563 were located. Although bulk segregant analysis (BSA) with the 90 K Infinium array identified 51 SNPs associated with LrAW3 , only one SNP-derived KASP marker mapped close to the locus. Deletion bin mapping of LrAW3 -linked markers located LrAW3 between bins 3BL11-0.85-0.90 and 3BL7-0.63. Since no other all stage leaf rust resistance gene is located in chromosome 3BL, LrAW3 represented a new locus and was designated Lr79 . Marker sun786 mapped 1.8 cM distal to Lr79 and Aus26582 was null for this locus. However, the marker can be reliably scored as it also amplifies a monomorphic fragment that serves as an internal control to differentiate the null status of Aus26582 from reaction failure. This marker was validated among a set of durum and common wheat cultivars and was shown to be useful for marker-assisted selection of Lr79 at both ploidy levels. 20 Targeted Haplotype Comparisons between South African Wheat Cultivars Appear Predictive of Pre-harvest Sprouting Tolerance Pre-harvest sprouting (PHS) has been a serious production constraint for over two decades, especially in the summer rainfall wheat production regions of South Africa. It is a complex genetic trait controlled by multiple genes, which are significantly influenced by environmental conditions. This complicates the accurate prediction of a cultivar's stability in terms of PHS tolerance. A number of reports have documented the presence of major QTL on chromosomes 3A and 4A of modern bread wheat cultivars, which confer PHS tolerance. In this study, the SSR marker haplotype combination of chromosomes 3A and 4A of former and current South African cultivars were compared with the aim to select for improved PHS tolerance levels in future cultivars. A total of 101 wheat cultivars, including a susceptible cultivar and five international tolerant sources, were used in this study. These cultivars and donors were evaluated for their PHS tolerance by making use of a rain simulator. In addition, five seeds of each entry were planted out into seedling trays and leaf material harvested for DNA isolation. A modified CTAB extraction method was used before progressing to downstream PCR applications. Eight SSR markers targeted from the well-characterized 3A and 4A QTL regions associated with PHS tolerance, were used to conduct targeted haplotype analysis. Additionally, recently published KASP SNP markers, which identify the casual SNP mutations within the TaPHS1 gene, were used to genotype the germplasm. The haplotype marker data and phenotypic PHS data were compared across all cultivars and different production regions. A relative change in observed phenotypic variation percentage was obtained per marker allele and across marker haplotype combinations when compared to the PHS susceptible cultivar, Tugela-DN. Clear favorable haplotypes, contributing 40¨C60% of the variation for PHS tolerance, were identified for QTL 3A and 4A. Initial analyses show haplotype data appear to be predictive of PHS tolerance status and germplasm can now be selected to improve PHS tolerance. These haplotype data are the first of its kind for PHS genotyping in South Africa. In future, this can be used as a tool to predict the possible PHS tolerance range of a new cultivar. 21 Irrigation and Nitrogen Regimes Promote the Use of Soil Water and Nitrate Nitrogen from Deep Soil Layers by Regulating Root Growth in Wheat Unreasonably high irrigation levels and excessive nitrogen (N) supplementation are common occurrences in the North China Plain that affect winter wheat production. Therefore, a 6-yr-long stationary field experiment was conducted to investigate the effects of irrigation and N regimes on root development and their relationship with soil water and N use in different soil layers. Compared to the non-irrigated treatment (W0), a single irrigation at jointing (W1) significantly increased yield by 3.6¨C45.6%. With increases in water (W2, a second irrigation at flowering), grain yield was significantly improved by 14.1¨C45.3% compared to the W1 treatments during the drier growing seasons (2010¨C2011, 2012¨C2013, and 2015¨C2016). However, under sufficient pre-sowing soil moisture conditions, grain yield was not increased, and water use efficiency (WUE) decreased significantly in the W2 treatments during normal precipitation seasons (2011¨C2012, 2013¨C2014, and 2014¨C2015). Irrigating the soil twice inhibited root growth into the deeper soil depth profiles and thus weakened the utilization of soil water and NO3-N from the deep soil layers. N applications increased yield by 19.1¨C64.5%, with a corresponding increase in WUE of 66.9¨C83.9% compared to the no-N treatment (N0). However, there was no further increase in grain yield and the WUE response when N rates exceeded 240 and 180 kg N ha−1, respectively. A N application rate of 240 kg ha−1 facilitated root growth in the deep soil layers, which was conducive to utilization of soil water and NO3-N and also in reducing the residual NO3-N. Correlation analysis indicated that the grain yield was significantly positively correlated with soil water storage (SWS) and nitrate nitrogen accumulation (SNA) prior to sowing. Therefore, N rates of 180¨C240 kg ha−1 with two irrigations can reduce the risk of yield loss that occurs due to reduced precipitation during the wheat growing seasons, while under better soil moisture conditions, a single irrigation at jointing was effective and more economical. 22 Genome-Wide Association Studies and Comparison of Models and Cross-Validation Strategies for Genomic Prediction of Quality Traits in Advanced Winter Wheat Breeding Lines The aim of the this study was to identify SNP markers associated with five important wheat quality traits (grain protein content, Zeleny sedimentation, test weight, thousand-kernel weight, and falling number), and to investigate the predictive abilities of GBLUP and Bayesian Power Lasso models for genomic prediction of these traits. In total, 635 winter wheat lines from two breeding cycles in the Danish plant breeding company Nordic Seed A/S were phenotyped for the quality traits and genotyped for 10,802 SNPs. GWAS were performed using single marker regression and Bayesian Power Lasso models. SNPs with large effects on Zeleny sedimentation were found on chromosome 1B, 1D, and 5D. However, GWAS failed to identify single SNPs with significant effects on the other traits, indicating that these traits were controlled by many QTL with small effects. The predictive abilities of the models for genomic prediction were studied using different cross-validation strategies. Leave-One-Out cross-validations resulted in correlations between observed phenotypes corrected for fixed effects and genomic estimated breeding values of 0.50 for grain protein content, 0.66 for thousand-kernel weight, 0.70 for falling number, 0.71 for test weight, and 0.79 for Zeleny sedimentation. Alternative cross-validations showed that the genetic relationship between lines in training and validation sets had a bigger impact on predictive abilities than the number of lines included in the training set. Using Bayesian Power Lasso instead of GBLUP models, gave similar or slightly higher predictive abilities. Genomic prediction based on all SNPs was more effective than prediction based on few associated SNPs. 23 Plasma membrane proteome analysis identifies a role of barley Membrane Steroid Binding Protein in root architecture response to salinity Although physiological consequences of plant growth under saline conditions have been well described, understanding the core mechanisms conferring plant salt adaptation has only started. We target the root plasma membrane (PM) proteomes of two barley varieties, cvs. Steptoe and Morex, with contrasting salinity tolerance. In total, 588 PM proteins were identified by mass spectrometry, of which 182 were either cultivar- or salinity stress-responsive. Three candidate proteins with increased abundance in the tolerant cv. Morex were involved either in sterol-binding (a GTPase-activating protein for the ADP ribosylation factor, ZIGA2, and a membrane steroid binding protein, MSBP) or in phospholipid synthesis (phosphoethanolamine methyltransferase, PEAMT). Overexpression of barley MSBP conferred salinity tolerance to yeast cells, while knock-out of the heterologous AtMSBP1 increased salt sensitivity in Arabidopsis. Atmsbp1 plants showed a reduced number of lateral roots under salinity and root tip-specific expression of barley MSBP in Atmsbp1 complemented this phenotype. In barley, an increased abundance of MSBP correlates with reduced root length and lateral root formation as well as increased levels of auxin under salinity being stronger in the tolerant cv. Morex. Hence, we concluded the involvement of MSBP in phytohormone-directed adaptation of root architecture in response to salinity.
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mashengwei 2018-2-1 09:27
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mashengwei 2018-1-30 21:41
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mashengwei 2018-1-29 15:27
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However, introgression of R genes into crops is a lengthy process often associated with co-integration of deleterious linked genes and pathogens can rapidly evolve to overcome R genes when deployed singly. Introducing multiple cloned R genes into crops as a stack would avoid linkage drag and delay emergence of resistance-breaking pathogen races. However, current R gene cloning methods require segregating or mutant progenies, which are difficult to generate for many wild relatives due to poor agronomic traits. We exploited natural pan-genome variation in a wild diploid wheat by combining association genetics with R gene enrichment sequencing (AgRenSeq) to clone four stem rust resistance genes in 6 months. RenSeq combined with diversity panels is therefore a major advance in isolating R genes for engineering broad-spectrum resistance in crops. 2 Genome-wide association analyses identify QTL hotspots for yield and component traits in durum wheat grown under yield potential, drought, and heat stress environments Understanding the genetic bases of economically important traits is fundamentally important in enhancing genetic gains in durum wheat. In this study, a durum panel of 208 lines (comprised of elite materials and exotics from the International Maize and Wheat Improvement Center gene bank) were subjected to genome wide association study (GWAS) using 6,211 DArTseq single nucleotide polymorphisms (SNPs). The panel was phenotyped under yield potential (YP), drought stress (DT), and heat stress (HT) conditions for two years. Mean yield of the panel was reduced by 72% (to 1.64 t/ha) under HT and by 60% (to 2.33 t/ha) under DT, compared to YP (5.79 t/ha). Whereas, the mean yield of the panel under HT was 30% less than under DT. GWAS identified the largest number of significant marker-trait associations on chromosomes 2A and 2B with p-values 10-06 to 10-03 and the markers from the whole study explained 7 to 25% variation in the traits. Common markers were identified for stress tolerance indices: stress susceptibility index, stress tolerance, and stress tolerance index estimated for the traits under DT (82 cM on 2B) and HT (68 and 83 cM on 3B; 25 cM on 7A). GWAS of irrigated (YP and HT combined), stressed (DT and HT combined), combined analysis of three environments (YP + DT + HT), and its comparison with trait per se and stress indices identified QTL hotspots on chromosomes 2A (54 to 70 cM) and 2B (75 to 82 cM). This study enhances our knowledge about the molecular markers associated with grain yield and its components under different stress conditions. It identifies several marker-trait associations for further exploration and validation for marker-assisted breeding. 3 QTL mapping of flag leaf-related traits in wheat (Triticum aestivum L.) QTL controlling flag leaf length, flag leaf width, flag leaf area and flag leaf angle were mapped in wheat. This study aimed to advance our understanding of the genetic mechanisms underlying morphological traits of the flag leaves of wheat (Triticum aestivum L.). A recombinant inbred line (RIL) population derived from ND3331 and the Tibetan semi-wild wheat Zang1817 was used to identify quantitative trait loci (QTLs) controlling flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA), and flag leaf angle (FLANG). Using an available simple sequence repeat genetic linkage map, 23 putative QTLs for FLL, FLW, FLA, and FLANG were detected on chromosomes 1B, 2B, 3A, 3D, 4B, 5A, 6B, 7B, and 7D. Individual QTL explained 4.3-68.52% of the phenotypic variance in different environments. Four QTLs for FLL, two for FLW, four for FLA, and five for FLANG were detected in at least two environments. Positive alleles of 17 QTLs for flag leaf-related traits originated from ND3331 and 6 originated from Zang1817. QTLs with pleiotropic effects or multiple linked QTL were also identified on chromosomes 1B, 4B, and 5A; these are potential target regions for fine-mapping and marker-assisted selection in wheat breeding programs. 4 Relationship between QTL for grain shape, grain weight, test weight, milling yield, and plant height in the spring wheat cross RL4452/¡®AC Domain¡¯ Kernel morphology characteristics of wheat are complex and quantitatively inherited. A doubled haploid (DH) population of the cross RL4452/¡®AC Domain¡¯ was used to study the genetic basis of seed shape. Quantitative trait loci (QTL) analyses were conducted on a total of 18 traits: 14 grain shape traits, flour yield (Fyd), and three agronomic traits (Plant height , 1000 Grain weight , Test weight ), using data from trial locations at Glenlea, Brandon, and Morden in Manitoba, Canada, between 1999 and 2004. Kernel shape was studied through digital image analysis with an Acurum® grain analyzer. Plht, Gwt, Twt, Fyd, and grain shape QTL were correlated with each other and QTL analysis revealed that QTL for these traits often mapped to the same genetic locations. The most significant QTL for the grain shape traits were located on chromosomes 4B and 4D, each accounting for up to 24.4% and 53.3% of the total phenotypic variation, respectively. In addition, the most significant QTL for Plht, Gwt, and Twt were all detected on chromosome 4D at the Rht-D1 locus. Rht-D1b decreased Plht, Gwt, Twt, and kernel width relative to the Rht-D1a allele. A narrow genetic interval on chromosome 4B contained significant QTL for grain shape, Gwt, and Plht. The ¡®AC Domain¡¯ allele reduced Plht, Gwt, kernel length and width traits, but had no detectable effect on Twt. The data indicated that this variation was inconsistent with segregation at Rht-B1 . Numerous QTL were identified that control these traits in this population. 5 Identification and Validation of a New Source of Low Grain Cadmium Accumulation in Durum Wheat Cadmium (Cd) is a heavy metal that has no known biological function and is toxic for many living organisms. The maximum level of Cd concentration allowed in the international market for wheat grain is 0.2 mg kg-1. Because phenotyping for Cd uptake is expensive and time consuming, molecular markers associated with genes conferring low Cd uptake would expedite selection and lead to the development of durum cultivars with reduced Cd concentrations. Here, we identified single nucleotide polymorphisms (SNPs) associated with a novel low Cd uptake locus in the durum experimental line D041735, which has hexaploid common wheat in its pedigree. Genetic analysis revealed a single major QTL for Cd uptake on chromosome arm 5BL within a 0.3 cM interval flanked by SNP markers. Analysis of the intervening sequence revealed a gene with homology to an aluminum-induced protein as a candidate gene. Validation and allelism tests revealed that the low Cd uptake gene identified in this study is different from the closely linked *Cdu1-B *gene, which also resides on 5BL. This study therefore confirmed that the durum experimental line D041735 contains a novel low Cd uptake gene that was likely acquired from hexaploid wheat. 6 Pleiotropic e ects of the wheat domestication gene Q on yield and grain morphology Mutation of the Q gene, well-known a ecting wheat spike structure, represents a key domestication step in the formation of today¡¯s free-threshing, economically important wheats. In a previous study, multiple yield components and spike charac- teristics were associated with the Q gene interval in the bread wheat ¡®Forno¡¯ ¡Á European spelt ¡®Oberkulmer¡¯ recombinant inbred line population. Here, we reported that this interval was also associated with grain yield, grains m−2, grain morphol- ogy, and spike dry weight at anthesis. To clarify the roles of Q in agronomic trait performance, a functional marker for the Q gene was developed. Analysis of allelic e ects showed that the bread wheat Q allele conferred free-threshing habit, soft glumes, and short and compact spikes compared with q. In addition, the Q allele contributed to higher grain yield, more grains m−2, and higher thousand grain weight, whereas q contributed to more grains per spike/spikelet likely resulting from increased preanthesis spike growth. For grain morphology, the Q allele was associated with reduced ratio of grain length to height, indicating a rounder grain. These results are supported by analysis of four Q mutant lines in the Chinese Spring background. Therefore, the transition from q to Q during wheat domestication had profound e ects on grain yield and grain shape evolution as well, being a consequence of pleiotropy. 7 An Overexpressed Q Allele Leads to Increased Spike Density and Improved Processing Quality in Common Wheat (Triticum aestivum) Spike density and processing quality are important traits in the modern wheat production that is controlled by multiple gene loci. The associated genes have been intensively studied and new discoveries have been constantly reported during the past few decades. However, no gene playing significant roles in the development of these two traits was identified. In the current study, a common wheat mutant with extremely compact spikes and good processing quality was isolated and characterized. A new allele ( Qc1 ) of Q gene (an important domestication gene) responsible for the mutant phenotype was cloned and the molecular mechanism for the mutant phenotype was studied. Results revealed that Qc1 was originated from a point mutation that interferes with the miRNA172-directed cleavage of the Q transcripts, leading to its overexpression. It also reduces the longitudinal cell size of rachises, resulting in an increased spike density. Furthermore, Qc1 increases the number of vascular bundles, which suggests a higher efficiency in the transportation of assimilates in the spikes of the mutant than that of WT. This accounts for the improved processing quality. The effects of Qc1 on spike density and wheat processing quality were confirmed by analyzing nine common wheat mutants possessing four different Qc alleles. These results deepen our understanding of the key roles of Q gene and provide new insights for the potential application of Qc alleles in wheat quality breeding. 8 Transgenerationally precipitated meiotic chromosome instability fuels rapid karyotypic evolution and phenotypic diversity in an artificially constructed allotetraploid wheat Whereas a distinct karyotype with defined chromosome number and structure characterizes each biological species, it is intrinsically labile. Polyploidy or whole genome duplication (WGD) has played a pervasive and ongoing role in the evolution of all eukaryotes, and is the most dramatic force known to cause rapid karyotypic reconfiguration, especially at the initial stage. However, issues concerning transgenerational propagation of karyotypic heterogeneity and its translation to phenotypic diversity in nascent allopolyploidy, at the population level, have yet to be studied in detail. Here, we report a large-scale examination of transgenerationally propagated karyotypic heterogeneity and its phenotypic manifestation in an artificially constructed allotetraploid with a genome composition of AADD, i.e., involving two of the three progenitor genomes of polyploid wheat. Specifically, we show that ( i ) massive organismal karyotypic heterogeneity is precipitated after 12 consecutive generations of selfing from a single euploid founder individual; ( ii ) there exist dramatic differences in aptitudes between subgenomes and among chromosomes for whole-chromosome gain and/or loss and structural variations; ( iii ) majority of the numerical and structural chromosomal variations are concurrent due to mutual contingency and possible functional constraint; ( iv ) purposed and continuous selection and propagation for euploidy over generations did not result in enhanced karyotype stabilization; and ( v ) extent of karyotypic variation correlates with variability of phenotypic manifestation. Together, our results document that allopolyploidization catalyzes rampant and transgenerationally heritable organismal karyotypic heterogeneity that drives population-level phenotypic diversification, which lends fresh empirical support to the still contentious notion that WGD enhances organismal evolvability. 9 Genomic Imprinting was Evolutionarily Conserved during Wheat Polyploidization Genomic imprinting is an epigenetic phenomenon that causes genes to be differentially expressed depending on their parent-of-origin. To evaluate the evolutionary conservation of genomic imprinting and the effects of ploidy on this process, we investigated parent-of-origin-specific gene expression patterns in the endosperm of diploid (Aegilops spp.), tetraploid, and hexaploid wheat (Triticum spp.) at various stages of development via high-throughput transcriptome sequencing. We identified 91, 135, and 146 maternally or paternally expressed genes (MEGs or PEGs, respectively) in diploid, tetraploid, and hexaploid wheat, respectively, 52.7% of which exhibited dynamic expression patterns at different developmental stages. Gene ontology enrichment analysis suggested that MEGs and PEGs were involved in metabolic processes and DNA-dependent transcription, respectively. Nearly half of the imprinted genes exhibited conserved expression patterns during wheat hexaploidization. In addition, forty percent of the homeolog pairs originating from whole genome duplication were consistently maternally or paternally biased in the different subgenomes of hexaploid wheat. Furthermore, imprinted expression was found for 41.2% and 50.0% of homolog pairs that evolved by tandem duplication after genome duplication in tetraploid and hexaploid wheat, respectively. These results suggest that genomic imprinting was evolutionarily conserved between closely related Triticum and Aegilops species, and in the face of polyploid hybridization between species in these genera. 10 Ubiquitin-related genes are differentially expressed in isogenic lines contrasting for pericarp cell size and grain weight in hexaploid wheat(òËÆÈ¥ÄêÕâƪÎÄÕÂÒѾ­½éÉܹýÁË) There is an urgent need to increase global crop production. Identifying and combining genes controlling indidviual yield components, such as grain weight, holds the potential to enhance crop yields. Transcriptomics is a powerful tool to gain insights into the complex gene regulatory networks that underlie such traits, but relies on the availability of a high-quality reference sequence and accurate gene models. Previously, we identified a grain weight QTL on wheat chromosome 5A (5A QTL) which acts during early grain development to increase grain length through cell expansion in the pericarp. In this study, we performed RNA-sequencing on near isogenic lines (NILs) segregating for the 5A QTL and used the latest gene models to identify differentially expressed (DE) genes and pathways that potentially influence pericarp cell size and grain weight in wheat. We sampled grains at four and eight days post anthesis and found genes associated with metabolism, biosynthesis, proteoloysis and defence response to be upregulated during this stage of grain development in both NILs. We identified a specific set of 112 transcripts DE between 5A NILs at either time point, including seven potential candidates for the causal gene underlying the 5A QTL. The 112 DE transcripts had functional annotations including non-coding RNA, transpon-associated, cell-cycle control, and ubiquitin-related processes. Many of the wheat genes identified belong to families that have been previously associated with seed/grain development in other species. However, few of these wheat genes are the direct orthologs and none have been previously characterised in wheat. Notably, we identified DE transcripts at almost all steps of the pathway associated with ubiquitin-mediated protein degradation. In the promoters of a subset of DE transcripts we identified enrichment of binding sites associated with C2H2, MYB/SANT, YABBY, AT-HOOK and Trihelix transcription factor families. In this study, we identified DE transcripts with a diverse range of predicted biological functions, reflecting the complex nature of the pathways that control early grain development. Further functional characterisation of these candidates and how they interact could provide new insights into the control of grain size in cereals, ultimately improving crop yield. 11 Defense Enzyme Responses in Dormant Wild Oat and Wheat Caryopses Challenged with a Seed Decay Pathogen Seeds have well-established passive physical and chemical defense mechanisms that protect their food reserves from decay-inducing organisms and herbivores. However, there are few studies evaluating potential biochemical defenses of dormant seeds against pathogens. Caryopsis decay by the pathogenic Fusarium avenaceum strain F.a .1 was relatively rapid in wild oat ( Avena fatua L.) isoline ¡°M73,¡± with 50% decay after 8 days with almost no decay in wheat ( Triticum aestivum L.) var. RL4137. Thus, this fungal strain has potential for selective decay of wild oat relative to wheat. To study defense enzyme activities, wild oat and wheat caryopses were incubated with F.a .1 for 2¨C3 days. Whole caryopses were incubated in assay reagents to measure extrinsic defense enzyme activities. Polyphenol oxidase, exochitinase, and peroxidase were induced in whole caryopses, but oxalate oxidase was reduced, in response to F.a .1 in both species. To evaluate whether defense enzyme activities were released from the caryopsis surface, caryopses were washed with buffer and enzyme activity was measured in the leachate. Significant activities of polyphenol oxidase, exochitinase, and peroxidase, but not oxalate oxidase, were leached from caryopses. Defense enzyme responses were qualitatively similar in the wild oat and wheat genotypes evaluated. Although the absolute enzyme activities were generally greater in whole caryopses than in leachates, the relative degree of induction of polyphenol oxidase, exochitinase, and peroxidase by F.a .1 was greater in caryopsis leachates, indicating that a disproportionate quantity of the induced activity was released into the environment from the caryopsis surface, consistent with their assumed role in defense. It is unlikely that the specific defense enzymes studied here play a key role in the differential susceptibility to decay by F.a .1 in these two genotypes since defense enzyme activities were greater in the more susceptible wild oat, compared to wheat. Results are consistent with the hypotheses that (1) dormant seeds are capable of mounting complex responses to pathogens, (2) a diversity of defense enzymes are involved in responses in multiple plant species, and (3) it is possible to identify fungi capable of selective decay of weed seeds without damaging crop seeds, a concept that may be applicable to weed management in the field. While earlier work on seed defenses demonstrated the presence of passive defenses, this work shows that dormant seeds are also quite responsive and capable of activating and releasing defense enzymes in response to a pathogen. 12 Inter- and intraspecific variation in leaf economics traits in wheat and maize Leaf economics spectrum (LES) trait variation underpins multiple agroecological processes and many prominent crop yield models. While there are numerous independent studies assessing trait variation in crops, to date there have been no comprehensive assessments of intraspecific trait variation (ITV) in LES traits for wheat and maize: the world¡¯s most widespread crops. Using trait databases and peer-reviewed literature, we compiled over 700 records of specific leaf area (SLA), maximum photosynthetic rates ( A max), and leaf nitrogen (N) concentrations, for wheat and maize. We evaluated intraspecific LES trait variation, and intraspecific trait-environment relationships. While wheat and maize occupy the upper 90th percentile of LES trait values observed across a global species pool, ITV ranged widely across the LES in wheat and maize. Fertilization treatments had strong impacts on leaf N, while plant developmental stage (here standardized as the number of days since planting) had strong impacts on A max; days since planting, N fertilization, and irrigation all influenced SLA. When controlling for these factors, intraspecific responses to temperature and precipitation explained 39.4 and 43.7% of the variation in A maxand SLA, respectively, but only 5.4% of the variation in leaf N. Despite a long history of domestication in these species, ITV in wheat and maize among and within cultivars remains large. ITV is a critical consideration to refine regional- to global models of agroecosystem structure, function, and food security. Considerable opportunities and benefits exist for consolidating a crop trait database for a wider range of domesticated plant species. 13 Cloning and characterization of a specific UDP-glycosyltransferase gene induced by DON and Fusarium graminearum TaUGT5: can reduce the proliferation and destruction of F. graminearum and enhance the ability of FHB resistance in wheat. Deoxynivalenol (DON) is one of the most important toxins produced by Fusarium species that enhances the spread of the pathogen in the host. As a defense, the UDP-glycosyltransferase (UGT) family has been deduced to transform DON into the less toxic form DON-3-O-glucoside (D3G), but the specific gene member in wheat that is responsible for Fusarium head blight (FHB) resistance has been little investigated and proved. In this study, a DON and Fusarium graminearum responsive gene TaUGT5, which is specific for resistant cultivars, was cloned with a 1431 bp open reading frame (ORF) encoding 476 amino acids in Sumai3. TaUGT5 is located on chromosome 2B, which has been confirmed in nulli-tetrasomic lines of Chinese Spring (CS) and is solely expressed among three homologs on the A, B and D genomes. Over-expression of this gene in Arabidopsis conferred enhanced tolerance when grown on agar plates that contain DON. Similarly, the coleoptiles of wheat over-expressing TaUGT5 showed more resistance to F. graminearum, evidencing reduced proliferation and destruction of plant tissue by the pathogen. However, the disease resistance in spikes was not as significant as that on coleoptile compared with wild-type plants. A subcellular localization analysis revealed that TaUGT5 was localized on the plasma membrane of tobacco leaf epidermal cells. It is possible that TaUGT5 could enhance tolerance to DON, protect the plant cell from the pathogen infection and result in better maintenance of the cell structure, which slows down pathogen proliferation in plant tissue. 14 Transcriptomic insights into phenological development and cold tolerance of wheat grown in the field Cold acclimation and winter survival in cereal species is determined by complicated environmentally regulated gene expression. However, studies investigating these complex cold responses are mostly conducted in controlled environments that only consider the responses to single environmental variables. In this study, we have comprehensively profiled global transcriptional responses in crowns of field grown spring and winter wheat genotypes and their near isogenic lines (NILs) with the VRN-A1 alleles swapped. This in-depth analysis revealed multiple signaling, interactive pathways that influence cold tolerance and phenological development to optimize plant growth and development in preparation for a wide range of over-winter stresses. Investigation of genetic differences at the VRN-A1 locus revealed that a vernalization requirement maintained a higher level of cold response pathways while VRN-A1 genetically promoted floral development. Our results also demonstrated the influence of genetic background on the expression of cold and flowering pathways. The link between delayed shoot apex development and the induction of cold tolerance was reflected by the gradual upregulation of ABA-dependent and CBF pathways. This was accompanied by the down regulation of key genes involved in meristem development as the autumn progressed. The chromosome location of differentially expressed genes between winter and spring wheat genetic backgrounds showed a striking pattern of biased gene expression on chromosome 6A and 6D indicating a transcriptional regulation at the genome level. This finding adds to the complexity of the genetic cascades and gene interactions that determine the evolutionary patterns of both phenological development and cold tolerance traits in wheat. 15 Association mapping for total polyphenol content, total flavonoid content and antioxidant activity in barley A genome-wide association study (GWAS) was conducted for total phenolic content (TPC), total flavonoid content (FLC) and antioxidant activity (AOA) in 67 cultivated and 156 Tibetan wild barley genotypes. Most markers associated with phenolic content were different in cultivated and wild barleys. The markers bPb-0572 and bPb-4531 were identified as the major QTLs controlling phenolic compounds in Tibetan wild barley. Moreover, the marker bPb-4531 was co-located with the UDP- glycosyltransferase gene ( HvUGT ), which is a homolog to Arabidopsis UGTs and involved in biosynthesis of flavonoid glycosides . 16 Mapping resistance to powdery mildew in barley reveals a large-effect nonhost resistance QTL The durability and effectiveness of nonhost resistance suggests promising practical applications for crop breeding, relying upon elucidation of key aspects of this type of resistance. We investigated which genetic factors determine the nonhost status of barley ( Hordeum vulgare L.) to powdery mildews ( Blumeria graminis ). We set out to verify whether genes involved in nonhost resistance have a wide effectiveness spectrum, and whether nonhost resistance genes confer resistance to the barley adapted powdery mildew. Two barley lines, SusBgtSC and SusBgtDC, with some susceptibility to the wheat powdery mildew B. graminis f.sp. tritici ( Bgt ) were crossed with cv Vada to generate two mapping populations. Each population was assessed for level of infection against four B. graminis ff.spp, and QTL mapping analyses were performed. Our results demonstrate polygenic inheritance for nonhost resistance, with some QTLs effective only to non-adapted mildews, while others play a role against adapted and non-adapted forms. Histology analyses of nonhost interaction show that most penetration attempts are stopped in association with papillae, and also suggest independent layers of defence at haustorium establishment and conidiophore formation. Nonhost resistance of barley to powdery mildew relies mostly on non-hypersensitive mechanisms. A large-effect nonhost resistance QTL mapped to a 1.4 cM interval is suitable for map-based cloning. 17 Expression of two barley proteinase inhibitors in tomato promotes endogenous defensive response and enhances resistance to Tuta absoluta The aim of this study was to investigate the in vivo effect of a serine proteinase inhibitor (BTI-CMe) and a cysteine proteinase inhibitor (Hv-CPI2) from barley on this insect and to examine the effect their expression has on tomato defensive responses. We found that larvae fed on tomato transgenic plants co-expressing both proteinase inhibitors showed a notable reduction in weight. Moreover, only 56% of these larvae reached the adult stage. The emerged adults showed wings deformities and reduced fertility. We also investigated the effect of proteinase inhibitors ingestion on the insect digestive enzymes. Our results showed a decrease in larval trypsin activity. Transgenes expression had no harmful effect on Nesidiocoris tenuis (Reuter) (Heteroptera: Miridae), a predator of Tuta absoluta, despite transgenic tomato plants attracted the mirid. We also found that barley cystatin expression promoted plant defense by inducing the expression of the tomato endogenous wound inducible Proteinase inhibitor 2 ( Pin2 ) gene, increasing the production of glandular trichomes and altering the emission of volatile organic compounds. 18 Genome-Wide Association Analysis of Grain Yield-Associated Traits in a Pan-European Barley Cultivar Collection A collection of 379 Hordeum vulgare cultivars, comprising all combinations of spring and winter growth habits with two and six row ear type, was screened by genome wide association analysis to discover alleles controlling traits related to grain yield. Genotypes were obtained at 6,810 segregating gene-based single nucleotide polymorphism (SNP) loci and corresponding field trial data were obtained for eight traits related to grain yield at four European sites in three countries over two growth years. The combined data were analyzed and statistically signi cant associations between the traits and regions of the barley genomes were obtained. Combining this information with the high resolution gene map for barley allowed the identi cation of candidate genes underlying all scored traits and superposition of this information with the known genomics of grain trait genes in rice resulted in the assignation of 13 putative barley genes controlling grain traits in European cultivated barley. Several of these genes are associated with grain traits in both winter and spring barley. 19 Alterations in wheat pollen lipidome during high day and night temperature stress Understanding the adaptive changes in wheat pollen lipidome during high temperature stress is critical to improving seed set and developing high temperature tolerant wheat varieties. We found that the most heat-responsive lipids in pollen were extraplastidic phospholipids, phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidic acid (PA), and phosphatidylserine (PS). Comparison of the present results on wheat pollen with results of our previous research on wheat leaves suggests that similar lipid changes contribute to high temperature adaptation in both leaves and pollen, though the lipidomes have inherently distinct compositions. 20 Drought Response in Wheat: Key Genes and Regulatory Mechanisms Controlling Root System Architecture and Transpiration Efficiency Abiotic stresses such as, drought, heat, salinity, and flooding threaten global food security. Crop genetic improvement with increased resilience to abiotic stresses is a critical component of crop breeding strategies. Wheat is an important cereal crop and a staple food source globally. Enhanced drought tolerance in wheat is critical for sustainable food production and global food security. Recent advances in drought tolerance research have uncovered many key genes and transcription regulators governing morpho-physiological traits. Genes controlling root architecture and stomatal development play an important role in soil moisture extraction and its retention, and therefore have been targets of molecular breeding strategies for improving drought tolerance. In this systematic review, we have summarized evidence of beneficial contributions of root and stomatal traits to plant adaptation to drought stress. Specifically, we discuss a few key genes such as, DRO1 in rice and ERECTA in Arabidopsis and rice that were identified to be the enhancers of drought tolerance via regulation of root traits and transpiration efficiency. Additionally, we highlight several transcription factor families, such as, ERF (ethylene response factors), DREB (dehydration responsive element binding), ZFP (zinc finger proteins), WRKY, and MYB that were identified to be both positive and negative regulators of drought responses in wheat, rice, maize, and/or Arabidopsis. The overall aim of this review is to provide an overview of candidate genes that have been identified as regulators of drought response in plants. The lack of a reference genome sequence for wheat and non-transgenic approaches for manipulation of gene functions in wheat in the past had impeded high-resolution interrogation of functional elements, including genes and QTLs, and their application in cultivar improvement. The recent developments in wheat genomics and reverse genetics, including the availability of a gold-standard reference genome sequence and advent of genome editing technologies, are expected to aid in deciphering of the functional roles of genes and regulatory networks underlying adaptive phenological traits, and utilizing the outcomes of such studies in developing drought tolerant cultivars. 21 Tissue-specific changes in apoplastic proteins and cell wall structure during cold acclimation of winter wheat crowns The wheat ( Triticum aestivum L.) crown is the critical organ of low temperature stress survival over winter. In cold-acclimated crowns, ice formation in the apoplast causes severe tissue disruption as it grows at the expense of intracellular water. While previous crown studies have shown the vascular transition zone (VTZ) to have a higher freezing sensitivity than the shoot apical meristem (SAM), the mechanism behind the differential freezing response is not fully understood. Cooling cold-acclimated crowns to ¨C10 ¡ãC resulted in an absence of VTZ tetrazolium chloride staining, whereas the temperatures at which 50% of the SAM stained positive and 50% of plants recovered (LT50) were similar after cold acclimation for 21 (¨C16 ¡ãC) and 42 d (¨C20 ¡ãC) at 4 ¡ãC. Proteomic analysis of the apoplastic fluids identified dehydrins, vernalization-responsive proteins, and cold shock proteins preferentially accumulated in the SAM. In contrast, modifications to the VTZ centered on increases in pathogenesis-related proteins, anti-freeze proteins, and sugar hydrolyzing enzymes. Fourier transform infrared spectroscopy focal plane array analysis identified the biochemical modification of the cell wall to enhance methyl-esterified cross-linking of glucuronoarabinoxylans in the VTZ. These findings indicate that the SAM and VTZ express two distinct tissue-specific apoplastic responses during cold acclimation. 22 Quantitative trait loci (QTL) analysis of root traits under phosphorus deficiency at the seedling stage in wheat A segregating population of 136 recombinant inbred lines derived from a cross between the durum wheat cv. ¡°Simeto¡± and the T. dicoccum accession ¡°Molise Colli¡± was grown in soil and evaluated for a number of shoot and root morphological traits. A total of 17 quantitative trait loci (QTL) were identified for shoot dry weight, number of culms, and plant height and for root dry weight, volume, length, surface area, and number of forks and tips, on chromosomes 1B, 2A, 3A, 4B, 5B, 6A, 6B, and 7B. LODs were 2.1 to 21.6, with percent of explained phenotypic variability between 0.07 and 52. Three QTL were mapped to chromosome 4B, one of which corresponds to the Rht-B1 locus and has a large impact on both shoot and root traits (LOD 21.6). Other QTL that have specific effects on root morphological traits were also identified. Moreover, meta-QTL analysis was performed to compare the QTL identified in the ¡°Simeto¡± ¡Á ¡°Molise Colli¡± segregating population with those described in previous studies in wheat, with three novel QTL defined. Due to the complexity of phenotyping for root traits, further studies will be helpful to validate these regions as targets for breeding programs for optimization of root function for field performance. ½ñÌìµÄÎÄÏ×µ½´Ë½áÊø£¬ ÓÐûÓÐÄãÏëÒª¼ÌÐø¶ÁµÄ?Èç¹ûÓУ¬»¶Ó­·ÖÏí¸øÎÒÃÇÄãµÄÀí½â¡£
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call variants from wheat RNA_seq
mashengwei 2018-1-25 22:39
call variants from wheat RNA_seq 1 24 ±¾ÆÚ×÷ÕߣºNeal call variants from wheat RNA_seq ÉÏÖÜÎÒÃÇÍÆË͵ĺÎÖл¢Ñо¿Ô±µÄÎÄÕ£¨ ÖйúСÂó²úÒµ·¢Õ¹Óë¿Æ¼¼½ø²½¡ª¡ªÐ¡ÂóÀïÎÒ¼û¹ýµÄ×îºÀ»ª×÷ÕßÕóÈÝ £©£¬Ä¿Ç°ÔĶÁÈËÊýÊÇ8400¶àÈË£¬Ò²ÊÇÆù½ñΪֹÎÒÃǹ«ÖÚºÅÔĶÁÈËÊý×î¸ßµÄÍÆËÍÖ®Ò»£¬ÕâÒ²Ö±½ÓÈÃÎÒÃǵĹØ×¢ÈËÊýÃÍÔöµ½3000ÈË¡£¹ýÈ¥Ò»¶Îʱ¼ä£¬Óв»ÉÙСÂóÓýÖÖÀÏʦºÍר¼ÒÒ²¹Ø×¢ÁËÎÒÃÇ£¬ÎÒÃǷdz£»¶Ó­¸÷λ·ÖÏíÓýÖÖ·½ÃæµÄ¾­Ñé¡£ ½ñÌìҪ˵һЩ˵´ÓRNA seqÊý¾ÝÀïµÃµ½ÐòÁбäÒìµÄ²½Öè¡£Ê×ÏÈÒª½»´úһϱ³¾°£¬ÎÒÃÇÒªÑо¿Ò»¸öEMSÍ»±äÌ壨Òѻؽ»¶à´Î£©£¬Ç°ÆÚÒѾ­½«Í»±ä»ùÒò¶¨Î»µ½Ò»¸öȾɫÌåÇø¼ä£¬¸ù¾ÝÖйú´º²Î¿¼ÐòÁУ¬ÎÒÃÇÒѾ­·¢ÏÖÒ»¸öºòÑ¡»ùÒòÒѾ­ÔÚË®µ¾Àï±»±¨µÀ¹ýÁË£¬²âÐò·¢ÏÖ£¬¸Ã»ùÒòȷʵ·¢ÉúÁ˱äÒì¡£ºóÆÚ°²ÅÅÁËRNA seqʵÑ飬ÏëÔÚ»úÖÆ·½Ãæ×öÒ»¸öÓÐÒæµÄ³¢ÊÔ¡£ÁíÍâÎÒÃÇÒ²Ïëͨ¹ýÕâÑùÒ»¸öRNA_seqÊý¾Ý£¬±È½ÏÔÚ¶¨Î»Çø¼äÄÚ»¹ÓÐÄÇЩ»ùÒò·¢ÉúÁ˱äÒ죬Òò´Ë¾ÍÓÐÁ˽ñÌìÕâÑùÒ»¸öÍÆËÍ¡£ ÕâÀﻹҪÌرðÇ¿µ÷Ò»µã£¬Õâ²»ÊÇ»ì³ØÊý¾Ý£¬·ÖÎö¹ý³ÌÖеÄһЩ²ÎÊýÇë¸ù¾ÝʵÑéÄ¿µÄµ÷Õû¡£ ʹÓÃSTAR½«reads mappingÖÁСÂó»ùÒò×飬ȻºóʹÓÃsentieonÁ÷³Ì£¨±¾ÖÊÊÇGATK£©call variant£¬½Ó×ÅʹÓÃSnpSiftɸѡ¸ßÖÊÁ¿SNP£¬½áºÏEMSÓÕ±äµÄÌص㣬½øÒ»²½Åųý¿ÉÄܵļÙÑôÐÔSNP£¬×îºó»ñµÃ´ó¸Å300¸öSNP£¬Ê¹ÓÃSnpEff×¢ÊÍSNP¡£¸ù¾ÝÇ°ÆÚÒÅ´«¶¨Î»½á¹û£¬ÎÒÃÇ·¢ÏÖÖ»ÓÐ4¸öSNPλÓÚÎÒÃǵÄÇø¼äÄÚ(20Mb)£¬µ«ÊÇÖ»ÓÐÒ»¸öSNPµ¼Öµ°°×ÌáÇ°ÖÕÖ¹£¬¸ÃSNPËùÔڵĻùÒòÆäÔÚË®µ¾ÀïµÄֱϵͬԴ»ùÒòÒѱ»±¨µÀ£¬Í»±äÖ®ºóÓëÎÒÃǵÄÍ»±äÌå±íÐͷdz£ÏàËÆ¡£ ÏÂÃæÊǾßÌåµÄÁ÷³Ì£¬Èç¹ûÓÐÐËȤ»¶Ó­½»Á÷¡£Õâ¸öÐèÒª¾ßÓÐÒ»¶¨µÄ¸ßͨÁ¿Êý¾Ý·ÖÎö»ù´¡£¬ÆäËûµÄ¾ÍûÓÐʲôÌرðµÄµØ·½ÁË¡£ # ¹¤×÷Ŀ¼ cd / data / rna_seq / genome / #¹¹½¨ A »ùÒò×é index STAR -- runThreadN 10 -- runMode genomeGenerate -- genomeDir ./ -- genomeFastaFiles CS_A_genome_part . fasta -- sjdbFileChrStartEnd TGACv1_part_A . ss -- limitGenomeGenerateRAM 68800833920 #!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'wheatomics' import subprocess # inpu.txt·Å×ÅfastqÎļþµÄÃû×Ö with open ( 'input.txt' , 'r' ) as f : for line in f : line = line . strip (). split () fq1 , fq2 = line print fq1 , fq2 # 1. Mapping reads with STAR proc = subprocess . Popen ( , 'SM:' + fq1 . split ( '_' ) , 'PL:ILLUMINA' ], shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () # 2. Metrics proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( + '-metrics-report.pdf' , 'gc=gc_metrics.txt' , 'qd=qd_metrics.txt' , 'mq=mq_metrics.txt' , 'isize=is_metrics.txt' ], shell = False ) proc . wait () # 3. Remove Duplicate Reads proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () # 4. Split reads at Junction proc = subprocess . Popen ( , shell = False ) proc . wait () # 5. Indel realigner proc = subprocess . Popen ( + '.realigned.bam' ], shell = False ) proc . wait () Call SNP #´Ë´¦Ö»Í³¼ÆÁËunique mappedµÄreads sentieon driver - r / data2 / masw_data / rna_seq / dqyRNA - seq / masw_analysis / genome / CS_A_genome_part . fasta -- read_filter MapQualFilter , min_map_qual = 60 - t 10 - i WT . realigned . bam - i br . realigned . bam -- algo Genotyper -- emit_conf 20 -- call_conf 20 WT_br_UG . vcf ɸѡSNP # # ҪעÒ⣬EMSÓÕ±äµÄ±äÒìÒ»°ãÊÇC/TºÍA/GµÄ±äÒ죬ÆäËûÀàÐ͵ıäÒìƵÂʺܵͺܵ͡£ÁíÍ⣬ͻ±äÀïµÄ¹Ø¼ü¹¦ÄܱäÒìÀíÂÛÉÏÓë²Î¿¼ÐòÁв»Í¬¡£EMS mutations result in G:C to A:T mutations, whereas false positives could be any change. Thus, we retained only the alleles that corresponded to G:C to A:T mutations using SnpSift cat WT_ms_UG . vcf | java - jar / data / snpEff / SnpSift . jar filter (QUAL 30) (MQ 40) (QD 5) (FS 30.0) GEN .DP 5 GEN .DP 5 (((GEN .GT = '0/0') (GEN .GT = '1/1')) | ((GEN .GT = '1/1') (GEN .GT = '0/0'))) WT_ms_UG_filtered . vcf #ÉÏÊöɸѡ²ÎÊý²»Êǹ̶¨µÄ£¬Òª¸ù¾ÝʵÑéºÍ·ÖÎö½á¹ûµ÷Õû¡£¾ßÌåÿ¸ö²ÎÊý±íʾµÄÒâ˼£¬ÇëGoogleËÑË÷SnpSift¼´¿É¡£ vcfÎļþÀïµÄÒ»ÌõȾɫÌ廹ÊDz𿪵ģ¬ÐèÒªºÏ²¢³ÉÒ»¸öÕûÌå¡£ #!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'wheatomics' chr = , , , , , , , , , , , , , , , , , , , , ] with open ( 'WT_br_UG_filtered.vcf' , 'r' ) as f : for line in f : if line . startswith ( '#' ): print line , else : line = line . replace ( '_part1' , '' ) line = line . strip (). split ( '' ) if line . endswith ( 'part2' ): for i in chr : if line . split ( '_' ) == i : line = int ( line ) + int ( i ) line = line . split ( '_' ) for m in line : print str ( m ) + '' , print line + '' , ×îºÃÔÙÐÞ¸ÄÏÂvcfµÄ±íÍ·ÐÅÏ¢ ##contig=ID=chr1A,length=594102056,assembly=unknown ##contig=ID=chr2A,length=780798557,assembly=unknown ##contig=ID=chr3A,length=750843639,assembly=unknown ##contig=ID=chr4A,length=744588157,assembly=unknown ##contig=ID=chr5A,length=709773743,assembly=unknown ##contig=ID=chr6A,length=618079260,assembly=unknown ##contig=ID=chr7A,length=736706236,assembly=unknown ##contig=ID=chrUn,length=480980714,assembly=unknown ת»»Ö®ºó¾ÍҪͳ¼ÆSNPµÄÐÅÏ¢£¬±ÈÈçȾɫÌåÉϵÄSNP¸öÊýµÈ #ʹÓÃsnpEff×¢ÊÍSNP java - Xmx8g - jar snpEff . jar IWGSCv1 . 0 WT_itr_UG_filtered_whole . vcf WT_itr_UG_filtered_whole_eff . vcf ¸ù¾ÝÉÏÊö½á¹û£¬¼´¿É½øÐÐÏÂÒ»²½µÄ·ÖÎö¡£ SnpEffÕâ¸öÎÒÃÇÇ°ÃæÒ²½éÉܹý£¬¿ÉÒԲο¼ ʹÓÃSnpEff ¶ÔSNP½á¹û½øÐзÖÎö ¡£ »¶Ó­¹Ø×¢ ¡° СÂóÑо¿ÁªÃË ¡±£¬ Á˽âСÂóнøÕ¹ Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·Ö²¼µÈÇëÁªÏµ£º wheatgenome ԭʼÁ´½Ó
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mashengwei 2018-1-23 08:53
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2018-01-22 Rui Wang ½ñÌì³ýÁ˵ÚÒ»ÌõÍÆËÍÒÔÍ⣬ÌØµØ Îª´ó¼Ò×¼±¸ÁËÒ»¶Ù·áÊ¢µÄСÂóÉúÐÅ»ù´¡´ó²Í £¬ Ö÷Òª¾ÍÊǽéÉÜÒ»ÏÂСÂó»ùÒò×éÐòÁеĸ÷ÖÖÊý¾Ý¿â£¬ÆäÖоͰüÀ¨½ñÌìËù½éÉܵÄIWGSC RefSeq 1.0 ÒÔ¼°Ç°¶Îʱ¼äȺÀïС»ï°éÁĵ½µÄÔÚplants.ensemblÉϱߵÄTGAC°æ±¾¡£µ±È»£¬ÕâÆäÖÐ×îÐÂ×îÈ«µÄ»¹ÊÇIWGSC RefSeq1.0£¬Æ½³£´ó¼Ò»¹ÊÇÒªÊ×Ñ¡Õâ¸öÊý¾Ý¿â£¬µ«Êǵ±ÄãµÄÐòÁÐÔÚÕâ¸ö°æ±¾Éϲ鲻µ½»òÕßÄãµÄgenetic map¸úRefSeqÏßÐÔ¹ØϵºÜ²îµÄʱºò£¬¾Í±ØÐëÒªÊÔÒ»ÊÔÆäËüµÄ°æ±¾ÁË¡£¸üÖØÒªµÄÊÇ£¬ÏñһЩСÂó»ùÒò±í´ïÊý¾Ý¿â»òÕßСÂóTILLINGÊý¾Ý¿â²¢²»ÊÇ°´ÕÕ×îеÄIWGSC RefSeq 1.0À´×öannotationµÄ£¬ËùÒÔ˵ÕÆÎÕÁËСÂóÊý¾Ý¿âµÄ¸÷ÖÖ°æ±¾²ÅÄÜÔÚÒÔºóµÄѧϰ¹ý³ÌÖÐÓÎÈÐÓÐÓ࣡ ÄÚÈÝÒ»£º Genome assemblies ½éÉÜ À´×Ô£º www.wheat-training.com Õâ·Ý×ܽáûÓаüÀ¨È¥Äê×îÐÂÊÍ·ÅµÄ D genome µÄÊý¾Ý¿â£¬²»¹ý´ó¼Ò¶ÁÍêÁËÏÂÃæµÄ×ܽá¿Ï¶¨¾ÍÄÜ´¥ÀàÅÔͨÁË¡£ a) Introduction to the wheat genome Wheat is an allopolyploid of which there are two major types: hexaploid common wheat ( Triticum aestivum ssp. aestivum; 17 Gb genome size; AABBDD genomes), which is mainly used for bread and biscuit products tetraploid durum wheat ( Triticumturgidum ssp. durum ;12Gbgenomesize;AABB genomes), used mainly for pasta. Hexaploid wheat arose from a polyploidization event ~ 10,000 years ago, whereas tetraploids wheat arose ~ 400,000 years ago ( Figure 1 ). Figure 1: The evolutionary history of allopolyploid wheat. FromBorrill et al., 2015. DOI: 10.1111/nph.13533 Hexaploid wheat contains three closely related genomes (A, B and D) which contain homoeologous genes in a conserved order. Wheat homoeologues share over 95% sequence identity within coding regions and most wheat genes are expected to be present as three copies in the A, B, and D genome. Due to the high sequence conservation between homoeologues, genes may be functionally redundant or act in a dose-dependent manner. This means that often all three copies must be knocked out to cause a strong phenotype. However, in other cases, the homoeologous genes have developed specialized functions or become pseudogenized over time due to reduced selection pressure on duplicated genes. b) Multiple genome assemblies are available The large size of the wheat genome has made it very challenging to produce a reference genome. Different strategies have been used to create draft genome assemblies. Currently, several genome assemblies need to be used in a complementary fashion because no single reference is the best across all regions. A brief explanation about each genome assembly is given below alongside any caveats. c) Introduction to each assembly Chinese spring Survey Sequence (CSS) The International Wheat Genome Sequencing Consortium (IWGSC) has used flow-sorting to separate out individual chromosome arms. The landrace used (Chinese Spring) had aneuploid genetic stocks available, which have only one arm of each chromosome, e.g. the short arm of chromosome 1A is deleted so chromosome arm 1AL can be separated from the other chromosomes. This enabled the IWGSC to separate each individual chromosome arm by flow sorting, before sequencing each chromosome arm separately. Individual chromosome arms were sequenced to 30-240x coverage using Illumina NGS, generating a 10.2 Gb assembly of Chinese Spring (termed Chinese Spring survey sequence (CSS)). Gene models were created by mapping RNA-seq data and using gene models from related species. A total of 99,386 protein-coding genes were predicted, with 193,667 transcripts and splice variants. The gene models presented rely on the scaffolds assembled and in some cases, gene models are incomplete because of the underlying genomic scaffolds are not full-length assemblies. For example in some cases genes are split between two different genomic scaffolds (shown below), therefore one gene is given two different identifiers. Figure 2: CSS gene models are affected by truncated scaffolds. Chromosome 3B was assembled using a BAC by BAC approach and is currently considered the ¡°gold standard¡± for the reference genome assembly. 3B gene models were created separately using RNA-seq data. CSS reference: IWGSC 2014, DOI:10.1126/science.1251788 CSS data access: http://archive.plants.ensembl.org/Triticum_aestivum/Info/Index W7984 A whole-genome sequencing approach was undertaken in the synthetic hexaploid wheat ¡°Synthetic W7984¡±. This approached used large-insert sequencing libraries and enabled separate assemblies of the three homoeologues genomes, to a total assembly size of 9.1Gb. In some regions, the W7984 scaffolds are more continuous than the CSS, but for other regions, the CSS is more continuous than the W7984. Using both references will give the complete picture of genomic regions of interest. W7984 does not have any gene models associated with it. W7984 reference: Chapman et al.,2015 DOI: 10.1186/s13059-015-0582-8 W7984 data access: http://www.cerealsdb.uk.net/cerealgenomics/CerealsDB/blast_WGS.php TGAC A whole genome shotgun sequence assembly of Chinese Spring was carried out using nested long mate-pair libraries alongside a modified version of the DISCOVAR algorithm for assembly. This method created an assembly of total length 13.4 Gb, with approximately 10x N50 longer than the CSS and W7984 assemblies. Gene models from IWGSC were projected onto the TGAC assembly, with 99% of the total genes located on the TGAC assembly. De novo gene prediction has been carried out for the TGAC assembly resulting in a total of 273,739 transcripts (including non-coding and transcript variants). Of these, 104,305 are high confidence protein-coding genes. In general, these gene models are more complete than the CSS gene models due to the longer contig length within the TGAC assembly. These gene models are available from http://plants.ensembl.org TGAC reference: Clavijo et al., 2017 DOI:10.1101/gr.217117.116 TGAC data access: http://plants.ensembl.org/Triticum_aestivum/Info/Index?db=core https://wheatis.tgac.ac.uk/grassroots-portal/blast Triticum 3.1 A whole genome shotgun sequence assembly of Chinese Spring, which was assembled using short Illumina and long PacBio reads: the assembly was done in several steps using the MaSuRCA and Celera Assembler software. The combination of very long reads (average read length ~10 kb) coupled with deep sequencing of low error-rate short reads (65x coverage) produced an assembly with a total length of 15.3 Gb represented by 279,439 contigs with an N50 of 232,659 bp and average contig size of 54,912 bp. In contrast to other assemblies of the wheat genome, the Triticum 3.1 assembly is highly contiguous and does not contain unknown nucleotides (Ns). T he Triticum 3.1 assembly was aligned to an existing assembly of A egilops tauschii (the D-genome progenitor of hexaploidy wheat) to identify its D-genome portion; this data was saved into a separate assembly called Triticum D 1.0. There is currently no further annotation available for the Triticum 3.1 assembly. Triticum 3.1 reference: Zimin et al., 2017DOI: 10.1093/gigascience/gix097 Triticum 3.1 data access: https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA392179 TriticumD 1.0 data access: ftp://ftp.ccb.jhu.edu/pub/data/Triticum_aestivum/Wheat_D_genome/ RefSeqv1.0 A whole genome assembly has been carried out by the IWGSC in collaboration with the company NRGene. Using a proprietary algorithm DeNovoMAGIC with Illumina sequencing data, a 14.5 Gbassembly was produced. This assembly has much larger contigs (N50 super-scaffold length 22.8 Mb) and represents a draft genome more similar in quality to rice and other model species. Sequences have been ordered using POPSEQ data and Hi-C (chromosome conformation capture) to generate 21 pseudomolecules representing the majority of the wheat genome. Gene models have been generated consisting of 107,891 high confidence genes (homology to genes in other species) and161,537 low confidence genes (e.g. truncated genes missing a start or stop codons and genes lacking transcriptional evidence or lacking homology to other species). WGA reference: unpublished WGA data access: available after registration with URGI. BLAST at https://urgi.versailles.inra.fr/blast_iwgsc/?dbgroup=wheat_whole_genome_assembliesprogram=bl astn All data downloadable at https://urgi.versailles.inra.fr/download/iwgsc/IWGSC-WGA/ d) Comparison between assemblies Currently, all 4reference genomes have their merits due to the differences in gene annotation, incorporation into other resources (e.g. expression browsers, SNP markers and TILLING mutants) and the variety which was sequenced. Table1. Comparison between different genome assemblies. ÄÚÈݶþ£º What is TGAC: À´×Ô https://www.wheatgenome.org/News/Latest-news/New-wheat-genome-assembly-available-at-TGAC The Genome Analysis Centre (TGAC) announced recently that it has made available a new assembly of the wheat genome. TheIWGSC welcomes the production of additional resources ahead of the completion of the full reference sequence, anticipated for 2018. This latest assembly provides an incremental improvement to the genic information currently available to breeders and researchers. Taking advantage of recent improvements in high throughput sequencing technologies, the new assembly from TGAC builds on the IWGSC chromosome survey sequence to assign improved gene sequences assembled from whole genome sequencing to individual wheat chromosomes. With this new resource, it will be easier to define the structures of genes and the sequences that surround them, which often have a role in their regulation. The challenge remains, however, to order all of this information along each of the chromosomes to support the identification and isolation of genes and regulatory elements underlying agronomically important traits in bread wheat. Towards this end, the IWGSC will continue to pursue the physical map-based sequencing of individual chromosomes, such as the recently completed 3B chromosome to (1) provide an efficient link between genetic maps and the draft sequences; and (2) achieve a reference sequence comparable in quality to that of the rice genome gold standard. The TGAC gene assemblies and all other future efforts that deliver genomic resources for bread wheat will be integrated by the IWGSC into the final gold standard wheat genome sequence.
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2018ÄêµÚÈýÖÜСÂóÎÄÏ×ÍƼö£¨1.21£©¡ª¡ª2017ÄêÖйúСÂóÁìÓò¸ß±»ÒýѧÕ߶¼ÓÐË­£¿ ×î½üÓÐÀÏʦ˽ÏÂÎÊÎÒÓÐûÓÐÈÏʶÓÅÐãÒ»µãµÄѧÉú£¬ÍƼö¶ÁËûµÄ²©Ê¿¡£ÎÒÏëÁËһȦûÓУ¬ÔÚÎÒÃǹ«ÖÚºÅÀï±È½Ï»îÔ¾µÄÈ˶àÊý¶¼ÊDz©Ê¿¡£ºóÃæÎÒÄÔ¶´´ó¿ª£¬Èç¹ûÓлú»áºóÃæÎÒÃÇ»áÕë¶ÔÎÒÃǹ«ÖÚºÅÍÆË͵ÄһЩÄÚÈݳöһЩ²âÊÔÌ⣬³É¼¨ÓÅÐãµÄ½±Àøºì°ü£¬ÔñÓÅÏòÀÏʦÃÇÍƼö¡£Ò²»¶Ó­ÈÈ°®Ð¡ÂóµÄС»ï°é¸øÎÒÃÇͶ¸å£¬·ÖÏíʵÑéºÍѧϰÐĵõȡ£ »¹ÒªËµËµ½ñÌì¿´µ½µÄ¸ß±»ÒýѧÕß°ñµ¥£¬ÎÒ¿´ÁËÏÂÎÒÃÇСÂóÁìÓòÓ¦¸ÃÊÇ4ÈË£¬·Ö±ðÊÇ£º¿µÕñÉúԺʿ¡¢ºÎÖл¢Ñо¿Ô±¡¢¼Ö¼ÌÔöÑо¿Ô±¡¢Áõ±¦½ÌÊÚ¡£Õâ4λѧÕß×öСÂóµÄÓ¦¸Ã¶¼ÈÏʶ£¬ÎÒÃÇÇ°ÃæÒ²ÍÆË͹ýºÜ¶àËûÃÇÑо¿×éµÄÎÄÕ£¬ÔÚ¹«ÖÚºÅÄÚËÑË÷¼´¿É¡£Èç¹ûÃûµ¥ÓÐÒÅ©£¬»¶Ó­ÁôÑÔ²¹³ä¡£ËäÈ»ÎÒÍ··¢²»ÊÇÌر𳤣¬µ«ÊÇÎÒ¼ûʶÌرð¶Ì¡£ ºÃÁË£¬¼ÌÐøÎÒÃǽñÌìµÄÎÄÏ×ÍƼö¡£ 1 Natural variation and genetic make‑up of leaf blade area in spring barley Despite long-standing studies in the morpho-physiological characters of leaf blade area (LA) in cereal crops, advanced genetic studies to explore its natural variation are lacking. The importance of modifying LA in improving cereal grain yield and the genes controlling leaf traits have been well studied in rice but not in temperate cereals. To better understand the natural genetic variation of LA at four developmental stages, main culm LA was measured from 215 worldwide spring barleys including 92 photoperiod-sensitive accessions and 123 accessions with reduced photoperiod sensitivity ( ppd - H1 ) locus under controlled greenhouse conditions (long-day; 16/8 h; ~ 20/~ 16 ¡ãC day/night). The LA of Ppd - H1 -carrying accessions was always smaller than in ppd - H1 -carrying accessions. We found that nine SNPs from the Ppd - H1 gene were present in the collection of which marker 9 (M9; G/T in the CCT-domain) showed the most significant and consistent effect on LA at all studied developmental stages. Genome-wide association scans (GWAS) showed that the accessions carrying the ppd - H1 allele T/M9 (late heading) possessed more genetic variation in LA than the Ppd - H1 group carrying G/M9 (early heading). Several QTL with major effects on LA variation were found close to plant stature-related heading time, phytohormone- and sugar-related genes. The results provide evidence that natural variation of LA is an important source for improving grain yield, adaptation and canopy architecture of temperate cereals. 2 A major QTL controlling the tolerance to manganese toxicity in barley (Hordeum vulgare L.) Waterlogging stress disturbs plant metabolism through increased ion (manganese and iron) toxicity resulting from the changes in the soil redox potential under hypoxic conditions. Our previous study found a significant correlation between the tolerance to Mn2+ toxicity and waterlogging stress tolerance in barley, suggesting that waterlogging tolerance could be increased by improving the tolerance to Mn2+ toxicity. In this study, a doubled-haploid (DH) population from the cross between barley varieties Yerong and Franklin (waterlogging-tolerant and -sensitive, respectively) was used to identify QTL controlling tolerance to Mn2+ toxicity based on chlorophyll content and plant survival as selection criteria. Four significant QTL for plant survival under Mn2+ stress ( QSur.yf.1H , QSur.yf.3H , QSur.yf.4H , and QSur.yf.6H ) were identified in this population at the seedling stage. Two significant QTL ( QLC.yf.3H and QLC.yf.6H ) controlling leaf chlorosis under Mn2+ stress were identified on chromosomes 3H and 6H close to QSur.yf.3H and QSur.yf.6H . The major QTL QSur.yf.3H , located near the marker Bmag0013, explained 21% of the phenotypic variation. The major QTL for plant survival on 3H was validated in a different DH population (TX9425/Naso Nijo). This major QTL could potentially be used in breeding programmes to enhance tolerance to both manganese toxicity and waterlogging. 3 Genome wide identification of wheat and Brachypodium type one protein phosphatases and functional characterization of durum wheat TdPP1a Reversible phosphorylation is an essential mechanism regulating signal transduction during development and environmental stress responses. An important number of dephosphorylation events in the cell are catalyzed by type one protein phosphatases (PP1), which catalytic activity is driven by the binding of regulatory proteins that control their substrate specificity or subcellular localization. Plants harbor several PP1 isoforms accounting for large functional redundancies. While animal PP1s were reported to play relevant roles in controlling multiple cellular processes, plant orthologs remain poorly studied. To decipher the role of plant PP1s, we compared PP1 genes from three monocot species, Brachypodium, common wheat and rice at the genomic and transcriptomic levels. To gain more insight into the wheat PP1 proteins, we identified and characterized TdPP1 a, the first wheat type one protein phosphatase from a Tunisian durum wheat variety Oum Rabiaa3. TdPP1a is highly conserved in sequence and structure when compared to mammalian, yeast and other plant PP1s. We demonstrate that TdPP1a is an active, metallo-dependent phosphatase in vitro and is able to interact with AtI2, a typical regulator of PP1 functions. Also, TdPP1a is capable to complement the heat stress sensitivity of the yeast mutant indicating that TdPP1a is functional also in vivo . Moreover, transient expression of TdPP1a::GFP in tobacco leaves revealed that it is ubiquitously distributed within the cell, with a strong accumulation in the nucleus. Finally, transcriptional analyses showed similar expression levels in roots and leaves of durum wheat seedlings. Interestingly, the expression in leaves is significantly induced following salinity stress, suggesting a potential role of TdPP1a in wheat salt stress response. 4 Estimating the responses of winter wheat yields to moisture variations in the past 35 years in Jiangsu Province of China Jiangsu is an important agricultural province in China. Winter wheat, as the second major grain crop in the province, is greatly affected by moisture variations. The objective of this study was to investigate whether there were significant trends in changes in the moisture conditions during wheat growing seasons over the past decades and how the wheat yields responded to different moisture levels by means of a popular drought index, the Standardized Precipitation Evapotranspiration Index (SPEI). The study started with a trend analysis and quantification of the moisture conditions with the Mann-Kendall test and Sen¡¯s Slope method, respectively. Then, correlation analysis was carried out to determine the relationship between de-trended wheat yields and multi-scalar SPEI. Finally, a multivariate panel regression model was established to reveal the quantitative yield responses to moisture variations. The results showed that the moisture conditions in Jiangsu were generally at a normal level, but this century appeared slightly drier in because of the relatively high temperatures. There was a significant correlation between short time scale SPEI values and wheat yields. Among the three critical stages of wheat development, the SPEI values in the late growth stage (April-June) had a closer linkage to the yields than in the seedling stage (October-November) and the over-wintering stage (December-February). Moreover, the yield responses displayed an asymmetric characteristic, namely, moisture excess led to higher yield losses compared to moisture deficit in this region. The maximum yield increment could be obtained under the moisture level of slight drought according to the 3-month SPEI at the late growth stage, while extreme wetting resulted in the most severe yield losses. The moisture conditions in the first 15 years of the 21stcentury were more favorable than in the last 20 years of the 20th century for wheat production in Jiangsu. 5 Effect of Fusarium head blight management practices on mycotoxin contamination of wheat straw Management of Fusarium graminearum-associated mycotoxins in wheat grain has been extensively evaluated, but little is known about management of mycotoxins in straw. Two research trials were conducted at four locations from 2011 to 2014. The objective of the first trial was to determine the efficacy of fungicides, and the objective of the second trial was to evaluate the use of integrated disease management strategies, for the control of Fusarium head blight (FHB) and reducing the concentration of the Fusarium mycotoxins deoxynivalenol, 3-acetyl-deoxynivalenol, and 15-acetyl-deoxynivalenol in straw. In the first trial, it was determined that demethylation inhibitor (DMI) fungicides did not offer significant (P ¡Ü 0.05) reductions of mycotoxin concentrations in the straw compared to a no-fungicide control treatment, but significant (P ¡Ü 0.05) reductions in mycotoxin concentration were observed in the control when compared to treatments with the application of quinone outside inhibitor (QoI)-containing fungicides. In the second trial, mycotoxin concentrations in the straw were significantly (P ¡Ü 0.05) reduced in the moderately resistant cultivar compared to the susceptible cultivar, but were not effected by the use of a fungicide. The practices typically used to manage Fusarium mycotoxins in wheat grain, especially the selection of resistant cultivars and not using a QoI fungicide, may be an effective means to reduce mycotoxin concentrations in the straw. 6 Adult Plant Leaf Rust Resistance Derived from the Soft Red Winter Wheat Cultivar ¡®Caldwell¡¯ Maps to Chromosome 3BS ¡®Caldwell¡¯ is a US soft red winter wheat ( Triticum aestivum L.) that has partial, adult plant resistance to the leaf rust pathogen Puccinia triticina Eriks. A line of ¡®Thatcher 2/Caldwell¡¯ with adult plant resistance derived from Caldwell was crossed with ¡®Thatcher¡¯ to develop a population of recombinant inbred lines (RILs). The parents and RIL population were evaluated for segregation of leaf rust resistance in four field tests. A genetic map of the RIL population was constructed using 90K single-nucleotide polymorphism (SNP) markers with the Illumina Infinium iSelect 90K wheat bead array. Significant effects for reduction of leaf rust severity in all four tests were found for a quantitative trait locus on chromosome 3BS. Simple sequence repeat (SSR) markers linked to the adult plant resistance gene *Lr74 and kompetitive allele specific polymerase chain reaction (KASP) assay markers were added to the map on chromosome 3BS. Thatcher and the resistant Thatcher 2/Caldwell parent were negative for the presence of *Sr2 on chromosome 3BS based on the tightly linked marker csSr2 . The SSR marker cfb5006 linked closely to Lr74 mapped the closest to the logarithm of odds peak for leaf rust resistance on chromosome 3BS. The SNP and SSR markers on chromosome 3BS can be used to add Caldwell leaf rust resistance to wheat breeding germplasm. 7 Can spelt wheat be used as heterotic group for hybrid wheat breeding? The feasibility to switch from line to hybrid breeding is currently a hot topic in the wheat community. One limitation seems to be the lack of divergent heterotic groups within wheat adapted to a certain region. Spelt wheat is a hexaploid wheat that can easily be crossed with bread wheat and that forms a divergent genetic group when compared to elite bread wheat. The aim of this study was to investigate the potential of Central European spelt as a heterotic group for Central European bread wheat. We performed two large experimental field studies comprising in total 43 spelt lines, 14 wheat lines, and 273 wheat¨Cspelt hybrids, and determined yield, heading time, plant height, resistance against yellow rust, leaf rust, and powdery mildew, as well as protein content and sedimentation volume. Heterosis of yield was found to be lower than that of hybrids made between elite wheat lines. Moreover, heterosis of the quality trait sedimentation volume was negative. Consequently, spelt wheat does not appear suited to be used as heterotic group in hybrid wheat breeding. Nevertheless, high combining abilities of a few spelt lines with elite bread wheat lines make them interesting resources for pre-breeding in bread wheat. Thereby, the low correlation between line per se performance and combining ability of these spelt lines shows the potential to unravel the breeding value of genetic resources by crossing them to an elite tester. 8 Genomic, Biochemical, and Modeling Analyses of Asparagine Synthetases from Wheat 9 Overexpression of a wheat (Triticum aestivum L.) bZIP transcription factor gene, TabZIP6 , decreased the freezing tolerance of transgenic Arabidopsis seedlings by down-regulating the expression of CBFs The basic leucine zipper (bZIP) proteins play important roles against abiotic stress in plants, including cold stress. However, most bZIPs involved in plant freezing tolerance are positive regulators. Only a few bZIPs function negatively in cold stress response. In this study, TabZIP6 , a Group C bZIP transcription factor gene from common wheat (Triticum aestivum L.), was cloned and characterized. The transcript of TabZIP6 *was strongly induced by cold treatment (4¡ãC). TabZIP6 is a nuclear-localized protein with transcriptional activation activity. Arabidopsis plants overexpressing *TabZIP6 *showed decreased tolerance to freezing stress. Microarray as well as quantitative real-time PCR (qRT-PCR) analysis showed that CBFs and some key COR genes, including C OR47 and COR15B , were down-regulated by cold treatment in *TabZIP6- overexpressing Arabidopsis lines. TabZIP6 was capable of binding to the G-box motif and the CBF1 and CBF3 *promoters in yeast cells. A yeast two-hybrid assay revealed that TabZIP6, as well as the other two Group S bZIP proteins involved in cold stress tolerance in wheat, Wlip19 and TaOBF1, can form homodimers by themselves and heterodimers with each other. These results suggest that TabZIP6 may function negatively in the cold stress response by binding to the promoters of CBFs, and thereby decreasing the expression of downstream COR genes in TabZIP6 -overexpressing Arabidopsis seedlings. 10 Pangenome analyses of the wheat pathogen Zymoseptoria tritici reveal the structural basis of a highly plastic eukaryotic genome We constructed and analyzed the pangenome of Zymoseptoria tritici, a major pathogen of wheat that evolved host specialization by chromosomal rearrangements and gene deletions. We used single-molecule real-time sequencing and high-density genetic maps to assemble multiple genomes. We annotated the gene space based on transcriptomics data that covered the infection life cycle of each strain. Based on a total of five telomere-to-telomere genomes, we constructed a pangenome for the species and identified a core set of 9149 genes. However, an additional 6600 genes were exclusive to a subset of the isolates. The substantial accessory genome encoded on average fewer expressed genes but a larger fraction of the candidate effector genes that may interact with the host during infection. We expanded our analyses of the pangenome to a worldwide collection of 123 isolates of the same species. We confirmed that accessory genes were indeed more likely to show deletion polymorphisms and loss-of-function mutations compared to core genes. 11 2017ÄêСÂó»ùÒò±àºÅ https://shigen.nig.ac.jp/wheat/komugi/genes/macgene/supplement2017.pdf 12 Genetic dissection of the relationships between grain yield components by genome-wide association mapping in a collection of tetraploid wheats Increasing grain yield potential in wheat has been a major target of most breeding programs. Genetic advance has been frequently hindered by negative correlations among yield components that have been often observed in segregant populations and germplasm collections. A tetraploid wheat collection was evaluated in seven environments and genotyped with a 90K SNP assay to identify major and stable quantitative trait loci (QTL) for grain yield per spike (GYS), kernel number per spike (KNS) and thousand-kernel weight (TKW), and to analyse the genetic relationships between the yield components at QTL level. The genome-wide association analysis detected eight, eleven and ten QTL for KNS, TKW and GYS, respectively, significant in at least three environments or two environments and the mean across environments. Most of the QTL for TKW and KNS were found located in different marker intervals, indicating that they are genetically controlled independently by each other. Out of eight KNS QTL, three were associated to significant increases of GYS, while the increased grain number of five additional QTL was completely or partially compensated by decreases in grain weight, thus producing no or reduced effects on GYS. Similarly, four consistent and five suggestive TKW QTL resulted in visible increase of GYS, while seven additional QTL were associated to reduced effects in grain number and no effects on GYS. Our results showed that QTL analysis for detecting TKW or KNS alleles useful for improving grain yield potential should consider the pleiotropic effects of the QTL or the association to other QTLs. 13 Molecular marker assisted breeding and genome composition analysis of Zhengmai 7698, an elite winter wheat cultivar Zhengmai 7698 is an elite winter wheat variety widely cultivated in the Southern regions of the Yellow-Huai River Valley of China. Here, we report the molecular markers used for breeding Zhengmai 7698 and the genome composition of this cultivar revealed using genome-wide SNPs. A total of 26 DNA markers derived from the genes controlling gluten protein quality, grain hardness, flour color, disease resistance, or pre-harvesting sprouting resistance were used during breeding. Consequently, Zhengmai 7698 had strong gluten, high grain hardness index, white flour color, and high levels of resistance to powdery mildew, stripe rust infections, and pre-harvesting sprouting. Using genome complexity reduction, 28,996 high-quality SNPs distributed on 21 wheat chromosomes were identified among Zhengmai 7698 and its three parental lines (4B269, Zhengmai 9405 and Zhoumai 16). Zhengmai 7698 shared 12,776, 14,411 and 16,085 SNPs with 4B269, Zhengmai 9405 and Zhoumai 16, respectively. Thus, the contributions of 4B269, Zhengmai 9405 and Zhoumai 16 to the genome of Zhengmai 7698 were comparable. Interestingly, Zhengmai 7698 had 307 unique SNPs that are absent in all three parents. We suggest that molecular markers facilitate selection of a wheat cultivar with multiple elite traits. Analysis of genome composition with SNPs may provide useful clues for further dissecting the genetic basis of improved wheat performance. 14 Characterization of a new Pm2 allele associated with broad-spectrum powdery mildew resistance in wheat line Subtil Wheat powdery mildew is a severe disease affecting yield and quality. Host resistance was proved to be effective and environment-friendly. Wheat line Subtil is an elite germplasm resource resistant to 28 of 30 tested Bgt isolates. Genetic analysis showed that the powdery mildew resistance in Subtil was conferred by a single dominant gene, temporarily designated PmSub. Using bulked segregant analysis, PmSub was mapped to chromosome arm 5DS, and flanked by the markers Bwm16 and Cfd81/Bwm21 at 5.0 and 0.9 cM, respectively. Allelism tests further confirmed PmSub was allelic with documented Pm2 alleles. Then, homologous sequences of Pm2a related sequence was cloned from Subtil and Chinese Spring. It was completely identical to the reported Pm2a sequence, but significantly different from that of Chinese Spring. A marker SWGI067 was developed based on the sequence divergence of homologous sequence in Subtil and Chinese Spring. SWGI067 was closely linked to PmSub, indicating that the gene PmSub itself was different from the cloned Pm2a related sequence. Meanwhile, Subtil produced significantly different reaction pattern compared with other genotypes with Pm genes at or near Pm2 locus. Therefore, PmSub was most likely a new allele of Pm2. PmSub has opportunities for marker-assisted selecting for high-efficiency wheat improvement. 15 Discovery of Consistent QTLs of Wheat Spike-Related Traits under Nitrogen Treatment at Different Development Stages Spike-related traits such as spike length (Sl), fertile spikelet number (Fsn), sterile spikelet number (Ssn), grain number per spike (Gns), and thousand-kernel weight (Tkw) are important factors influencing wheat yield. However, reliably stable markers that can be used for molecular breeding in different environments have not yet been identified. In this study, a double haploid (DH) population was used for quantitative trait locus (QTL) mapping of five spike-related traits under four different nitrogen (N) supply dates in two locations and years. Seventy additive QTLs with phenotypic variation ranging from 4.12 to 34.74% and 10 major epistatic QTLs were identified. Eight important chromosomal regions on five chromosomes (1B, 2B, 2D, 5D, and 6A) were found. Sixteen stable QTLs were detected for which N application had little effect. Among those stable QTLs, QSl.sdau-2D-1 , and QSl.sdau-2D-2 , with phenotypic variation explained (PVE) of 10.4 and 24.2%, respectively, were flanked by markers Xwmc112 and Xcfd53 in the same order. The QTLs QSsn.sdau-2B-1, QFsn.sdau-2B-1 , and QGns.sdau-2B , with PVE ranging from 4.37 to 28.43%, collocated in the Xwmc179 - Xbarc373 marker interval. The consistent kernel wheat QTL ( QTkw.sdau-6A ) on the long arm of chromosome 6A, flanked by SSR markers Xbarc1055 and Xwmc553 , showed PVE of 5.87¨C15.18%. Among these stable QTLs, the two flanking markers Xwmc112 and Xcfd53 have been validated using different varieties and populations for selecting Sl. Therefore, these results will be of great value for marker-assisted selection (MAS) in breeding programs and will accelerate the understanding of the genetic relationships among spike-related traits at the molecular level. »¶Ó­¹Ø×¢ СÂóÑо¿ÁªÃË
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Meyers,ÎÄÕµÄÕªÒªÈçÏ¡£ MicroRNAs ( miRNAs ) are ~21 nucleotide-long regulatory RNAs that arise from endonucleolytic processing of hairpin precursors. Many function as essential post-transcriptional regulators of target mRNAs and long non-coding RNAs. Alongside miRNAs, plants also produce large numbers of short interfering RNAs ( siRNAs ), which are distinguished from miRNAs primarily by their biogenesis ( typically processed from long double-stranded RNA instead of single-stranded hairpins ) and functions (typically via roles in transcriptional regulation instead of posttranscriptional regulation). Next-generation DNA sequencing methods have yielded extensivedatasets of plant small RNAs, resulting in many miRNA annotations. However, it has become clear that many miRNA annotations are questionable. The sheer number of endogenous siRNAs compared to miRNAs has been a major factor in the erroneous annotation of siRNAs as miRNAs.Here, we provide updated criteria for the confident annotation of plant miRNAs, suitable for the era of ¡°big data¡± from DNA sequencing. The updated criteria emphasize replication, the minimization of false positives, and they require next-generation sequencing of small RNAs. We argue that improved annotation systems are needed for miRNAs and all other classes of plant small RNAs. Finally, to illustrate the complexities of miRNA and siRNA annotation, we review the evolution and functions of miRNAs and siRNAs in plants. È˳õµ½Ò»¸öÄ°ÉúµÄ»·¾³£¬ÓÉÓÚÀ뿪ÁË×Ô¼ºµÄµØÅÌ£¬À뿪ÁËÐÄÀïÊæÊÊÇø£¬ÍùÍù»á¸Ðµ½ÉÔ΢ÐÄÀï¿Ö»Å¡£ÕâÆäʵÊÇÒ»ÖÖÕý³£µÄ¶¯ÎïÉú´æ±¾ÄÜ¡£ÕýÊÇÓÐÕâÑùÒ»¸ö±¾ÄÜ£¬µ±ÎÒÃǶÔÒ»¸öÐÂÁìÓò²»Á˽âµÄʱºò£¬ÍùÍù»á¸Ðµ½ºÜÄÑ¡£Êµ¼ÊÉÏ£¬µÈÄã½Ó´¥¶àÁË£¬ÕæÕýÁ˽âÁËÖ®ºó£¬Ò²¾Í¾õµÃûʲôÁË¡£Ãæ¶ÔÒ»¸öÏÂÃæ»áÓõ½µÄÐÂÁìÓò£¬just do it£¬×öÏÂÈ¥£¬ÆäʵûÓÐÄãÏëÏóµÄÄÑ¡£Èç¹û֮ǰûÓнӴ¥¹ýmiRNA£¬²»Òªº¦Å£¬Ó¢ÎIJ»ÐУ¬ÖªÍøÉÏÒ²ÓкܶàÓÅÐãµÄÖÐÎIJ©Ê¿ÂÛÎÄ£¬´ó¼Ò¿ÉÒÔÕÒÀ´¿´¿´£¬¶à¿´Ò»Ð©£¬»ù±¾ÉϾͿÉÒÔÁ˽âmiRNAÑо¿ÖÐһЩ³£¹æÌ×·£¬ÕâÑùÒÔºóÔÙ¿´µ½ÀàËƵÄÎÄÕ£¬ÔÚ˼ÏëÉϾͲ»»áÕâôÅųâÁË¡£ËùÒÔ˵ÁËÕâô¶à£¬¹ØÓÚmiRNAµÄ±³¾°ÖªÊ¶ÕâÀï¾Í²»½éÉÜÁË£¨ÕÒµÄÀíÓɺò»ºÃ £©£¬Èç¹ûÄ㻹²»Á˽⣬ÍøÉÏÄÜËÑÉÏÍòÌõ½á¹û¡£ ±¾ÎÄÖ÷Òª¹Ø×¢MicroRNAs£¬Phased siRNAs (phasiRNAs)ºÍHeterochromatic siRNAs (hc-siRNAs)¡£PhasiRNAsÊÇÒ»ÀàÌØÊâµÄСRNA£¬ÊÇÔÚÀ´×ÔÇ°ÌåRNAµÄת¼±¾µÄ21»ò24-nt¼ä¸ô²úÉúµÄ£¬¶ø¸ÃÇ°ÌåÍùÍùÊÇmiRNA»òÕßsiRNAµÄ°Ð»ùÒò£¬Ò²¼´phasiRNAsÊÇÔÚÆäËüСRNAµÄ½éµ¼Ï²úÉúµÄ£¬ÏÂͼչʾµÄÊÇÄâÄϽæÖÐphasiRNAsÉú³Éͨ·µÄÒ»ÖÖģʽ¡£Èç¹û»¹ÊǸе½Ä°Éú£¬¿ÉÒԲμûÕÅÆô·¢ÔºÊ¿2016Äê·¢±íÔÚPNASÉϵÄÎÄÕ¡° PMS1T, producing phased small-interfering RNAs, regulates photoperiod-sensitive male sterility in rice ¡±£¬Åª¶®´ËÎÄÒ²¾Í¶ÔphasiRNAsÓиöÖ±¹ÛµÄÈÏʶÁË¡£ Heterochromatic siRNAs (hc-siRNAs)£¬ÆäʵÎÒ¶Ôhc-siRNAsÕâ¸öÃû×ÖÊǵִ¥µÄ£¬Äܲ»ÄÜÆð¸öºÃµãµÄÃû×Ö£¬ÖÐÎĽÐÒìȾɫÖÊsiRNAs¡£hc-siRNAsµÄ²úÉú¹ý³ÌºÍphasiRNAsÓеãÀàËÆ£¬²»¹ýÇ°Ìå´ó¸ÅÖ»ÓÐ30-50nt£¬×îºóÖ»²úÉúÒ»Ìõ³¤24ntµÄsiRNA¡£hc-siRNAsÍùÍù°ÐÏòÓÚÐÂÉúµÄÒìȾɫÖʷDZàÂëRNA£¬ÔÚDNAµÄ´ÓÍ·¼×»ù»¯ºÍÒìȾɫÖÊ×éµ°°×±ê¼Ç·½Ãæ·¢»Ó×Å×÷ÓᣳýÁËÕâЩСRNA»¹ÓкܶàÆäËûÀàÐ͵ÄСRNA£¬±ÈÈç×î½ü·¢±íÔÚnature geneticÉϵÄһƪÄâÄϽæµÄÑо¿ÂÛÎÄÒ²ÊǹØÓÚÒ»ÖÖÀàÐ͵ÄСRNAµÄ½éÉÜ£¬ÎÄÕµÄÌâÄ¿ÊÇ¡° Transposon-derived small RNAs triggered by miR845 mediate genome dosage response in Arabidopsis ¡±£¬ÓÐÐËȤµÄ¿ÉÒÔ½øÒ»²½¹Øעϣ¬ÎÒÃÇСÂó¿É±éµØ¶¼ÊÇת×ù×Ó°¡ ¡£ ±¾ÎĵÄ×÷ÕßÔÚ2008ÄêµÄʱºòͬÑùÔÚthe plant cellÉÏ·¢±íÁËһƪ¹ØÓÚÖ²ÎïmiRNA×¢Êͱê×¼µÄÎÄÕ£¬ÎÄÕÂÌâÄ¿ÊÇ¡°Criteria for annotation of plant microRNAs¡±£¬¼ø¶¨¹ýmiRNAµÄС»ï°éÊDz»ÊǺÜÊìϤ ¡£10ÄêÖ®ºóµÄ2018ÄêËûÃÇÓÖ·¢ÎÄ˵£¬2008ÄêµÄÄǸö±ê×¼ÒѾ­ÂäÎéÁË£¬²»ÊʺÏʱ´úµÄ·¢Õ¹ÁË£¬ÎÒºÍÎÒÃǵÄС»ï°éÃÇÓÐÖƶ¨ÁËÒ»Ì×еıê×¼¡£ÎÄÖдӶà¸ö·½Ãæ²ûÊöÁËÐÂʱÆÚÏÂΪɶÔçÏȵıê×¼²»ÐÐÁË¡£Ï±íÁгöÁËоɰ汾±ê×¼µÄ±È½Ï¡£ÎÄÖÐÓÐÏêϸµÄ½âÊÍ£¬ÕâÀï¾Í²»ÔÚһһ˵һЩϸ֦ĩҶÁË£¬¾ÍÎÄÕÂһЩϸ½Ú·½ÃæµÄ¶«Î÷£¬»¶Ó­½øȺ½»Á÷¡£ÆäʵÎÒÃÇдÁ˺ܶà½â¶ÁʽµÄÎÄÕ£¬ÈºÀïÈ´ÏÊÓоÍÕâЩÎÄÏ×µÄÌÖÂÛ£¬µ¹ÊÇÎÒÃÇÖ÷±àȺÀï»áʱ²»Ê±¾ÍÎÄÏ×ÔĶÁ·½ÃæµÄÎÊÌâ½øÐн»Á÷¡£¿´ÎÄÏ×Óöµ½²»Ã÷°×µÄµØ·½¿ÉÒÔÈ¥ÎÊÎʵ¼Ê¦£¬Ê¦ÐÖʦ½ã£¬»òÕßÔÚȺÀï»òÕßÁôÑÔѯÎÊ£¬ÎÒÃǶ¼»á¾¡Á¿½â´ð£¬Ö»ÓÐÕâÑù²Å»á½ø²½¿ì¡£ ͬʱ£¬×÷ÕßÒ²¸ø³öÁËÒ»¸öÀý×ÓÀ´ËµÃ÷Ϊɶ2008°æÂäÎéÁË¡£ÄâÄϽæµÄMIR399bºÍMIR405a£¬ÆäÖÐMIR399b»ù±¾¶¼·ûºÏ±ê×¼£¬¶øMIR405aÈ´²»ºÏ·û´ó²¿·Ö±ê×¼¡£ ΪʲôҪ¸üÐÂÕâÑùµÄÒ»¸ö±ê×¼£¬»òÕß»òΪʲôҪ±ÜÃâ´íÎóµÄmiRNA×¢ÊÍ¡£×ö¹ýmiRNA¼ø¶¨µÄС»ï°éÒ»¶¨Á˽⣬¼ø¶¨miRNAµÄÈí¼þºÜ¶àºÜ¶à£¬²¢ÇÒ²»Í¬Èí¼þÖ®¼ä¼ø¶¨³öÀ´µÄmiRNA²î±ðºÜ´ó¡£2014ÄêרÃÅÓÐһƪÎÄÕÂʹÓÃÒ»¸öÊý¾Ý¼¯ÆÀ¼ÛÁËÕâЩÈí¼þ¡£ÏÂͼ¸ø³öÁ˼¸¸öÆÀ¼ÛÖ¸±ê£¬´ÓÕâЩָ±êÀ´¿´miR-PREFeRºÍShortStackÕâ¸ö¿îÈí¼þ±íÏֽϺ㬵«ÊÇҪעÒ⣬Õâ²¢²»±íʾËûÃÇûÓмÙÑôÐԵĽá¹û³öÀ´£¬×îºÃµÄÄÇÒ»¿îÖ¸²»¶¨ÔÚÄǸöÕÉĸÄïµÄ¶Ç×ÓÀïÄØ¡£×î½ü²»ÊÇÁ÷ÐÐÈ˹¤ÖÇÄÜÂ˵²»¶¨¹ýЩʱºòÏà¹Ø·½ÃæµÄÈí¼þ¾Í»á³öÀ´ÁË¡£×î½üµÄÒ»¿îÈí¼þ£¬Mirnovo tool£¬¾Ý˵ÔÚ¶¯ÎïÀï±íÏÖÓÅÐ㣬µ«ÔÚÖ²Îï±íÏÖÏà¶ÔÑ·É«£¬Õâ¸öÈí¼þ»¹ÓÐÒ»¸öÓŵãÄǾÍÊDz»ÐèÒª²Î¿¼»ùÒò×é¡£×î½üµÄ ShortStack Èí¼þÎÒʹÓÃÁËÏ£¬¸Ð¾õ»¹Í¦²»´íµÄ£¬¹Ø¼üÊÇ»¹Äܼø¶¨phasiRNA¡£¹«Ë¾µÄС»ï°é¿ÉÒÔÊÔ×Å°ÑÄãÃǵÄÁ÷³Ì¸üÐÂÏ¡£ ×÷Õß»¹Ë³±ãͲÛÁËÄÇЩÔÚһƪÎÄÕÂÀï·¢ÏÖÁ˳ɰÙÉÏǧµÄеÄmiRNAµÄÑо¿£¬²¢ÇÒ»¹ÌáÐÑÉó¸åÈËÒª¹ØÇÐÏÂÕâÑùµÄÑо¿¡£ÒòΪ¼´Ê¹ÔÚÄâÄϽæÀïÒ²²Å¼¸°Ù¸ömiRNA¡£ ÏÂÃæ̸µ½miRbase£¨ www.miRBase.org £©Õâ¸öÍøÕ¾£¬¸ÃÍøÕ¾ÊÕ¼Á˺ܶàÎïÖÖÖеÄmiRNA£¬ÊÕ¼µÄmiRNAÖ÷ÒªÀ´×ÔÓÚ·¢±íµÄÎÄÏס£µ«ÊǸÃÍøÕ¾ÊÕ¼µÄ6942¸öÖ²ÎïmiRNAλµãÖУ¬Ö»ÓÐ8.5%µÄmiRNA±»ÈÏΪÊǸ߿ÉÐŵģ¬ÕâÒâζ×ÅmiRbaseÀïÊÕ¼µÄmiRNA¿ÉÄܺܶ඼ÊÇÓÐÎÊÌâµÄ¡£½Ó×Å¿´ÏÂÀ´£¬ÎÄÕÂÀïÓÐÒ»´ó¶ÎÊÇÔÚÍÂÔãmiRbaseµÄȱµãºÍ²»×÷Ϊ£¬ÕâÀï¾Í²»ËµÁË¡£ ÏÂÃæ˵µ½miRNAµÄ±£ÊØÐÔÎÊÌâ¡£ÕâÑù¸ö»°ÌâÒ²ÊǸö¿Ó£¬ÎÄÖÐ×÷Õ߸ø³öÁË×Ô¼ºµÄ¹Ûµã£¬ÏÂͼÁгöÁ˲¿·Ö±£ÊصÄmiRNAµÄÎïÖÖ·Ö²¼Çé¿ö¡£ phasiRNAsÓеÄʱºò»á±»ÈÏΪÊÇmiRNA£¬±ÈÈçË®µ¾µÄmiR5792£¬ÕâÆäʵÊÇÒ»¸öphasiRNA¡£Ôì³ÉÕâÖÖ¾ÖÃæµÄÔ­ÒòÖ÷ÒªÊÇÒòΪmiR5792Ö»ÔÚij¸öÌض¨µÄ×éÖ¯±í´ï¡£¶øhc-siRNAÔÚģʽ×÷ÎïÀïÑо¿µÄ¶àÒ»µã¡£phasiRNAºÍhc-siRNA»¹ÐèÒª¸ü¶àµÄÑо¿¡£ ±¾ÎÄÖ÷ÒªÊǶÔmiRNA×¢Êͱê×¼µÄ¸üУ¬Ê£Ïµľø´ó²¿·Ö¶¼ÊÇÔÚÃèÊömiRNAÑо¿ÖдæÔÚµÄһЩÎÊÌâºÍÄѵ㡣ÎÄÕµĽâ¶Á¾Íµ½´ËΪֹÁË£¬ÁíÍâÎÒ»¹Òª½éÉÜÒ»¸ö×î½ü·¢±íµÄmiRNA°Ð»ùÒòµÄÍøÕ¾£¬¸ÃÍøÕ¾µÄ°Ð»ùÒòÊý¾ÝÊÇÓнµ½â×éÊý¾ÝÖ§³ÖµÄ£¬ÖØÒªµÄÊÇÒ²Ö§³ÖÎÒÃÇСÂó»ùÒòµÄ²éѯ¡£ÍøÕ¾µØÖ·ÊÇ http://202.195.246.60/DPMIND/network.php?race_id=4565 £¬·¢±íµÄÂÛÎÄÌâÄ¿ÊÇ¡° DPMIND: Degradome-based Plant MiRNA-Target Interaction and Network Database ¡±¡£ »¶Ó­¹Ø×¢ ¡° СÂóÑо¿ÁªÃË ¡±£¬ Á˽âСÂóнøÕ¹ Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·Ö²¼µÈÇëÁªÏµ£º wheatgenome
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In wheat, most of the previous SNP discovery initiatives targeted the coding fraction, leaving almost 98% of the wheat genome largely unexploited. Here we report on the use of whole-genome resequencing data from eight wheat lines to mine for SNPs in the genic, the repetitive and non-repetitive intergenic fractions of the wheat genome. Eventually, we identified 3.3 million SNPs, 49% being located on the B-genome, 41% on the A-genome and 10% on the D-genome. We also describe the development of the TaBW280K high-throughput genotyping array containing 280,226 SNPs. Performance of this chip was examined by genotyping a set of 96 wheat accessions representing the worldwide diversity. Sixty-nine percent of the SNPs can be efficiently scored, half of them showing a diploid-like clustering. The TaBW280K was proven to be a very efficient tool for diversity analyses, as well as for breeding as it can discriminate between closely related elite varieties. Finally, the TaBW280K array was used to genotype a population derived from a cross between Chinese Spring and Renan, leading to the construction a dense genetic map comprising 83,721 markers. The results described here will provide the wheat community with powerful tools for both basic and applied research 2 Mapping of quantitative trait loci for grain yield and its components in a US popular winter wheat TAM 111 using 90K SNPs Stable quantitative trait loci (QTL) are important for deployment in marker assisted selection in wheat (Triticum aestivum L.) and other crops. We reported QTL discovery in wheat using a population of 217 recombinant inbred lines and multiple statistical approach including multi-environment, multi-trait and epistatic interactions analysis. We detected nine consistent QTL linked to different traits on chromosomes 1A, 2A, 2B, 5A, 5B, 6A, 6B and 7A. Grain yield QTL were detected on chromosomes 2B.1 and 5B across three or four models of GenStat, MapQTL, and QTLNetwork while the QTL on chromosomes 5A.1, 6A.2, and 7A.1 were only significant with yield from one or two models. The phenotypic variation explained (PVE) by the QTL on 2B.1 ranged from 3.3-25.1% based on single and multi-environment models in GenStat and was pleiotropic or co-located with maturity (days to heading) and yield related traits (test weight, thousand kernel weight, harvest index). The QTL on 5B at 211 cM had PVE range of 1.8-9.3% and had no significant pleiotropic effects. Other consistent QTL detected in this study were linked to yield related traits and agronomic traits. The QTL on 1A was consistent for the number of spikes m-2 across environments and all the four analysis models with a PVE range of 5.8-8.6%. QTL for kernels spike-1 were found in chromosomes 1A, 2A.1, 2B.1, 6A.2, and 7A.1 with PVE ranged from 5.6-12.8% while QTL for thousand kernel weight were located on chromosomes 1A, 2B.1, 5A.1, 6A.2, 6B.1 and 7A.1 with PVEranged from 2.7-19.5%. Among the consistent QTL, five QTL had significant epistatic interactions (additive ¡Á additive) at least for one trait and none revealed significant additive ¡Á additive ¡Á environment interactions. Comparative analysis revealed that the region within the confidence interval of the QTL on 5B from 211.4-244.2 cM is also linked to genes for aspartate-semialdehyde dehydrogenase, splicing regulatory glutamine/lysine-rich protein 1 isoform X1, and UDP-glucose 6-dehydrogenase 1-like isoform X1. The stable QTL could be important for further validation, high throughput SNP development, and marker-assisted selection (MAS) in wheat. 3 Genotyping-by-Sequencing Derived High-Density Linkage Map and its Application to QTL Mapping of Flag Leaf Traits in Bread Wheat Winter wheat parents ¡®Harry¡¯ (drought tolerant) and ¡®Wesley¡¯ (drought susceptible) were used to develop a recombinant inbred population with future goals of identifying genomic regions associated with drought tolerance. To precisely map genomic regions, high-density linkage maps are a prerequisite. In this study genotyping-by- sequencing (GBS) was used to construct the high-density linkage map. The map contained 3,641 markers distributed on 21 chromosomes and spanned 1,959 cM with an average distance of 1.8 cM between markers. The constructed linkage map revealed strong collinearity in marker order across 21 chromosomes with POPSEQ-v2.0, which was based on a high-density linkage map. The reliability of the linkage map for QTL mapping was demonstrated by co-localizing the genes to previously mapped genomic regions for two highly heritable traits, chaff color, and leaf cuticular wax. Applicability of linkage map for QTL mapping of three quantitative traits, flag leaf length, width, and area, identified 21 QTLs in four environments, and QTL expression varied across the environments. Two major stable QTLs, one each for flag leaf length ( Qfll . hww-7A ) and flag leaf width ( Qflw . hww-5A ) were identified. The map constructed will facilitate QTL and fine mapping of quantitative traits, map-based cloning, comparative mapping, and in marker-assisted wheat breeding endeavors. 4 A genome-wide association study of wheat yield and quality-related traits in southwest China Wheat ( Triticum aestivum L.) is one of the most productive and important crops and its yield potential and quality characteristics are tightly linked with the global food security. In this study, genome-wide association study (GWAS) was conducted for yield and quality-related traits. Based on the high-density wheat 90K Illumina iSelect SNP Array, 192 bread wheat lines from southwest China, including 25 synthetic hexaploid wheat lines, 80 landraces, and 87 cultivars were analyzed. Association analysis results indicated that there were 57, 27, 30, and 34 SNPs associated with plant height (PH), grain protein content (GPC), thousand kernel weight (TKW), and SDS sedimentation volume (SSV) have been detected, respectively. Then, integrating RNA-Seq with bioinformatics analysis, 246 candidate genes (102 for GPC, 52 for TKW, and 92 for SSV) were found. Further analysis indicated that one up-regulated and two down-regulated expression genes affect GPC. Additionally, two haplotypes significantly affecting PH were detected in a 2.2-Mb genome region encompassing a gene which encoded an ubiquitin-specific protease, TaUBP24. The functional markers of TaUBP24 have been developed, which could be used for marker-assisted selection to improve wheat quality and yield. 5 Characterization of Novel Gene Yr79 and Four Additional QTL for All-stage and High-temperature Adult-plant Resistance to Stripe Rust in Spring Wheat PI 182103 Stripe rust, caused by Puccinia striiformis f. sp. tritici , is an important disease of wheat worldwide. Exploring new resistance genes is essential for breeding resistant wheat cultivars. PI 182103, a spring wheat landrace originally from Pakistan, has shown a high level of resistance to stripe rust in fields for many years, but genes for resistance to stripe rust in the variety have not been studied. To map the resistance gene(s) in PI 182103, 185 recombinant inbred lines (RILs) were developed from a cross with Avocet Susceptible (AvS). The RIL population was genotyped with SSR and SNP markers and tested with races PST-100 and PST-114 at the seedling stage under controlled greenhouse conditions and at the adult-plant stage in fields at Pullman and Mt. Vernon, Washington under natural infection by the stripe rust pathogen in 2011, 2012, and 2013. A total of five quantitative trait loci (QTL) were detected. QyrPI182103.wgp-2AS and QyrPI182103.wgp-3AL were detected at the seedling stage, QyrPI182103.wgp-4DL was detected only in Mt. Vernon field tests, and QyrPI182103.wgp-5BS was detected in both seedling and field tests. QyrPI182103.wgp-7BL was identified as a high-temperature adult-plant (HTAP) resistance gene and detected in all field tests. Interactions among the QTL were mostly additive, but some negative interactions were detected. The 7BL QTL was mapped in chromosomal bin 7BL 0.40-0.45 and identified as a new gene, permanently designated as Yr79 . SSR markers Xbarc72 and Xwmc335 flanking the Yr79 locus were highly polymorphic in various wheat genotypes, indicating that the molecular markers are useful for incorporating the new gene for potentially durable stripe rust resistance into new wheat cultivars. 6 Succession of Fungal and Oomycete Communities in Glyphosate-Killed Wheat Roots. The successional dynamics of root-colonizing microbes are hypothesized to be critical to displacing fungal pathogens that can proliferate after the use of some herbicides. Applications of glyphosate in particular, which compromises the plant defense system by interfering with the production of aromatic amino acids, is thought to promote a buildup of root pathogens and can result in a ¡®greenbridge¡¯ between weeds or volunteers and crop hosts. By planting two to three weeks after spraying, growers can avoid most negative impacts of the greenbridge by allowing pathogen populations to decline, but with the added cost of delayed planting dates. However, the specific changes in microbial communities during this period of root death and the microbial taxa likely to be involved in displacing pathogens are poorly characterized. Using high-throughput sequencing, we characterized fungal and oomycete communities in roots after applications of herbicides with different modes of action (glyphosate or clethodim) and tracked their dynamics over three weeks in both naturally infested soil and soil inoculated with Rhizoctonia solani *AG-8. We found that many unexpected taxa were present at high relative abundance (eg. *Pythium volutum and Myrmecridium species) in live and dying wheat roots and may play an under-recognized role in greenbridge dynamics. Moreover, communities were highly dynamic over time and had herbicide-specific successional patterns, but became relatively stable by two weeks after herbicide application. Network analysis of communities over time revealed patterns of interactions among taxa that were both common and unique to each herbicide treatment and identified two primary groups of taxa with many positive associations within-groups but negative associations between-groups, suggesting that these groups are antagonistic to one another in dying roots and may play a role in displacing pathogen populations during greenbridge dynamics. 7 Characterization of Adult Plant Resistance to Leaf Rust and Stripe Rust in Indian Wheat Cultivar ¡®New Pusa 876¡¯ Growing resistant varieties is the most effective and economical method for controlling rust of wheat ( Triticum aestivum L.). Resistance to leaf rust and stripe rust, caused by Puccinia triticina Erikss. and P. striiformis Westend. f. sp. tritici , respectively, was investigated in 148 F5recombinant inbred lines derived from a cross between ¡®Avocet¡¯ and ¡®New Pusa 876¡¯ (NP876). The parents and population were phenotyped for resistance in field trials for 3 and 2 yr for leaf rust and stripe rust, respectively, and genotyped with gene-linked molecular markers. The segregation analyses indicated that the adult plant resistance to leaf rust and stripe rust was conferred by five and four additive effect genes, respectively. Among them, the slow-rusting adult plant resistance gene Lr46/Yr29 reduced 14 and 16% of mean leaf rust and stripe rust severities, respectively, whereas a severity reduction of 26% occurred due to Lr67/Yr46 for both rusts. Both resistance genes were contributed by NP876. An additive effect between leaf rust resistance genes Lr46 and Lr67 was detected, with a reduction up to 11% when they were present together. The effect of combining Yr29 and Yr46 was additive but not significant, with a mean reduction of 5% in severity. New Pusa 876 can be used as a multiple rust resistance source to breed wheat varieties that may contribute towards durable resistance. 8 Temperature and Alternative Hosts Influence Aceria tosichella Infestation and Wheat Streak Mosaic Virus Infection Wheat streak mosaic, caused by Wheat streak mosaic virus (WSMV; family Potyviridae), is the most important and common viral disease of wheat (Triticum aestivum L.) in the Great Plains of North America. WSMV is transmitted by the wheat curl mite (WCM; Aceria tosichella). We evaluated how mean daily temperatures, cumulative growing degree-days, day of the year, and surrounding alternative host identity affected WCM infestation and WSMV infection of wheat from late summer through early autumn in Montana, United States. Cumulative growing degree-days, warm mean daily temperatures (i.e., 10¡ãC), and surrounding alternative hosts interacted to alter risk of WCM infestation and WSMV infection. Wheat surrounded by Bromus tectorum L. and preharvest volunteer wheat had WCM infestation and WSMV infection rates of 88% in years when the mean daily temperature was 15¡ãC in October, compared with 23% when surrounded by bare ground, and 1% when the temperature was 0¡ãC regardless of surrounding alternative host. Mean daily temperatures in the cereal-growing regions of Montana during autumn are marginally conducive to WCM population growth and movement. As the region continues to warm, the period of WCM movement will become longer, potentially increasing the frequency of WSMV outbreaks. 9 Wheat resistances to Fusarium root rot and head blight are both associated with deoxynivalenol and jasmonate related gene expression Fusarium graminearum is a major pathogen of wheat causing Fusarium head blight (FHB). Its ability to colonize wheat via seedling root infection has been reported recently. Our previous study on Fusarium root rot (FRR) has disclosed histological characteristics of pathogenesis and pathogen defense that mirror processes of spike infection. Therefore, it would be interesting to understand whether genes relevant for FHB resistance are induced in roots. The concept of similar-acting defense mechanisms provides a basis for research at broad Fusarium resistance in crop plants. However, molecular defense responses involved in FRR as well as their relation to spike resistance are unknown. To test the hypothesis of a conserved defense response, a candidate gene expression study was conducted to test the activity of selected prominent FHB defense-related genes in seedling roots, adult plant roots, spikes and shoots. FRR was examined at seedling and adult plant stages to assess age-related pattern of disease and pathogen resistance. This study offers first evidence for a significant genetic overlap in root and spike defense responses, both in local and distant tissues. The results point to plant development-specific rather than organ-specific determinants of resistance, and suggest roots as an interesting model for studies on wheat-Fusarium interactions. 10 Three-Dimensional Analysis of Chloroplast Structures Associated with Virus Infection Chloroplasts are multifunctional organelles whose morphology is affected by environmental stresses. Although the three-dimensional (3D) architecture of thylakoid membranes has been reported previously, a 3D visualization of chloroplast under stress has not been explored. In this work, we used a positive-strand RNA ((+)RNA) virus, barley stripe mosaic virus (BSMV) to observe chloroplast structural changes during infection by electron tomography. The analyses revealed remodeling of the chloroplast membranes, characterized by the clustering of outer membrane-invaginated spherules in inner membrane-derived packets. Diverse morphologies of cytoplasmic invaginations ( CI s) were evident with spherules at the periphery and different sized openings connecting the CI s to the cytoplasm. Immunoelectron microscopy of these viral components verified that the aberrant membrane structures were sites for BSMV replication. The BSMV ¦Áa replication protein localized at the surface of the chloroplasts and played a prominent role in eliciting chloroplast membrane rearrangements. In sum, our results have revealed the 3D structure of the chloroplasts induced by BSMV infection. These findings contribute to our understanding of chloroplast morphological changes under stress conditions and during assembly of plant (+)RNA virus replication complexes. 11 No Time to Waste: Transcriptome Study Reveals that Drought Tolerance in Barley May Be Attributed to Stressed-Like Expression Patterns that Exist before the Occurrence of Stress Plant survival in adverse environmental conditions requires a substantial change in the metabolism, which is reflected by the extensive transcriptome rebuilding upon the occurrence of the stress. Therefore, transcriptomic studies offer an insight into the mechanisms of plant stress responses. Here, we present the results of global gene expression profiling of roots and leaves of two barley genotypes with contrasting ability to cope with drought stress. Our analysis suggests that drought tolerance results from a certain level of transcription of stress-influenced genes that is present even before the onset of drought. Genes that predispose the plant to better drought survival play a role in the regulatory network of gene expression, including several transcription factors, translation regulators and structural components of ribosomes. An important group of genes is involved in signaling mechanisms, with significant contribution of hormone signaling pathways and an interplay between ABA, auxin, ethylene and brassinosteroid homeostasis. Signal transduction in a drought tolerant genotype may be more efficient through the expression of genes required for environmental sensing that are active already during normal water availability and are related to actin filaments and LIM domain proteins, which may function as osmotic biosensors. Better survival of drought may also be attributed to more effective processes of energy generation and more efficient chloroplasts biogenesis. Interestingly, our data suggest that several genes involved in a photosynthesis process are required for the establishment of effective drought response not only in leaves, but also in roots of barley. Thus, we propose a hypothesis that root plastids may turn into the anti-oxidative centers protecting root macromolecules from oxidative damage during drought stress. Specific genes and their potential role in building up a drought-tolerant barley phenotype is extensively discussed with special emphasis on processes that take place in barley roots. When possible, the interconnections between particular factors are emphasized to draw a broader picture of the molecular mechanisms of drought tolerance in barley. 12 How exogenous nitric oxide regulates nitrogen assimilation in wheat seedlings under different nitrogen sources and levels Nitrogen (N) is one of the most important nutrients for plants and nitric oxide (NO) as a signaling plant growth regulator involved in nitrogen assimilation. Understanding the influence of exogenous NO on nitrogen metabolism at the gene expression and enzyme activity levels under different sources of nitrogen is vitally important for increasing nitrogen use efficiency (NUE). This study investigated the expression of key genes and enzymes in relation to nitrogen assimilation in two Australian wheat cultivars, a popular high NUE cv. Spitfire and a normal NUE cv. Westonia, under different combinations of nitrogen and sodium nitroprusside (SNP) as the NO donor. Application of NO increased the gene expressions and activities of nitrogen assimilation pathway enzymes in both cultivars at low levels of nitrogen. At high nitrogen supplies, the expressions and activities of N assimilation genes increased in response to exogenous NO only in cv. Spitfire but not in cv. Westonia. Exogenous NO caused an increase in leaf NO content at low N supplies in both cultivars, while under high nitrogen treatments, cv. Spitfire showed an increase under ammonium nitrate (NH4NO3) treatment but cv. Westonia was not affected. N assimilation gene expression and enzyme activity showed a clear relationship between exogenous NO, N concentration and N forms in primary plant nitrogen assimilation. Results reveal the possible role of NO and different nitrogen sources on nitrogen assimilation in Triticum aestivum plants. 13 Reference Quality Genome Assemblies of Three Parastagonospora nodorum Isolates Differing in Virulence on Wheat Parastagonospora nodorum , the causal agent of Septoria nodorum blotch of wheat, has emerged as a model necrotrophic fungal organism for the study of host-microbe interactions. To date, three necrotrophic effectors have been identified and characterized from this pathogen, including SnToxA, SnTox1, and SnTox3. Necrotrophic effector identification was greatly aided by the development of a draft genome of Australian isolate SN15 via Sanger sequencing, yet remained largely fragmented. This research presents the development of near-finished genomes of *P. nodorum *isolates Sn4, Sn2000, and Sn79-1087 using long-read sequencing technology. RNAseq analysis of isolate Sn4 consisting of eight time-points covering various developmental and infection stages mediated the annotation of 13,379 genes. Analysis of these genomes revealed large-scale polymorphism between the three isolates, including the complete absence of contig 23 from isolate Sn79-1087 and a region of genome expansion on contig 10 in isolates Sn4 and Sn2000. Additionally, these genomes exhibit the hallmark characteristics of a 'two-speed' genome, being partitioned into two distinct GC-equilibrated and AT-rich compartments. Interestingly, isolate Sn79-1087 contains a lower proportion of AT-rich segments, indicating a potential lack of evolutionary hot spots. These newly sequenced genomes, consisting of telomere to telomere assemblies of nearly all 23 *P. nodorum *chromosomes provides a robust foundation for the further examination of effector biology and genome evolution. 14 Exploration of Mechanisms for Internal Deterioration of Wheat Seeds in Postharvest Storage and Nitrogen Atmosphere Control for Properties Protection Wheat ( Triticum aestivum L.) seeds were stored in simulated conditions of four regions for 300 d. Changes of biochemical properties and electron microscope pictures demonstrated that unfavorable storage conditions caused serious internal deterioration and promoted the accumulation of unhealthy products in wheat seeds. Two hypotheses were proposed to explain the internal deterioration during storage. This work confirmed that the unfavorable storage conditions damaged enzymatic scavenging systems. As a result, without an effective scavenging system, serious internal deterioration occurred in wheat seeds. Atmospheric composition was adjusted to evaluate the potential of applying nitrogen atmosphere control in wheat storage. The results showed that 98% nitrogen gas in atmosphere effectively protected scavenging systems in wheat seeds and alleviate the internal deterioration. 15 Winter Wheat Yield Gaps and Patterns in China Wheat ( Triticum aestivum L.) yield stagnation has been reported in some regions of the world. China is the largest producer of wheat across the globe, but the pattern of its wheat yield stagnation remains poorly addressed. Here, our goal is to examine the temporal trends and spatial patterns of wheat yields along with possible causes based on a comprehensive assessment of winter wheat yield throughout China over the 31-yr period from 1980 to 2010. Combined with the Agricultural Production Systems Simulator (APSIM) wheat model, we assessed the winter wheat yield gaps and patterns in 1414 counties and at five physiogeographic regional scales across China to ascertain the driving factors of yield variations. Wheat yields increased in 53% of the 1414 counties, but the remaining counties experienced yields that never improved, stagnated, or collapsed from 1980 to 2010. The yield gap analysis showed that actual yields represented only 59% of the national average yield potential, indicating a substantial opportunity to improve winter wheat yields. Relatively larger yield gaps were observed in the northern China Plain (NC, 47%) and in southwestern China (SW, 45%). Although the yield gaps in these regions were accompanied by significantly progressive uptrends of actual yields, our results suggest that agronomic management could be further improved. Moreover, underperforming regions could potentially benefit from new investments and strategies to reliably increase actual yields and reverse trends in stagnation in winter wheat performance. 16 Pangenome analyses of the wheat pathogen Zymoseptoria tritici reveal the structural basis of a highly plastic eukaryotic genome We constructed and analyzed the pangenome of Zymoseptoria tritici , a major pathogen of wheat that evolved host specialization by chromosomal rearrangements and gene deletions. We used single-molecule real-time sequencing and high-density genetic maps to assemble multiple genomes. We annotated the gene space based on transcriptomics data that covered the infection life cycle of each strain. Based on a total of five telomere-to-telomere genomes, we constructed a pangenome for the species and identified a core set of 9149 genes. However, an additional 6600 genes were exclusive to a subset of the isolates. The substantial accessory genome encoded on average fewer expressed genes but a larger fraction of the candidate effector genes that may interact with the host during infection. We expanded our analyses of the pangenome to a worldwide collection of 123 isolates of the same species. We confirmed that accessory genes were indeed more likely to show deletion polymorphisms and loss-of-function mutations compared to core genes. 17 Expressed Ay HMW glutenin subunit in Australian wheat cultivars indicates a positive effect on wheat quality Out of the six HMW-GS genes, 1Ay is usually not expressed in bread wheat cultivars . In the current study, an active 1Ay gene has been integrated into two Australian wheat cultivars, Livingston and Bonnie Rock, through conventional backcross approach. Three sister lines at BC4F4 generation for each cross were obtained and underwent a series of quality testing. Results show that the active 1Ay subunit increased the amount total protein, Glutenin/Gliadin ratio and unextractable polymeric protein. The expressed 1 Ay also resulted in up to 10% increase of gluten content, 5% increase of glutenin, and hence increased the HMW- to LMW-GS ratio without affecting the relative amount of other subunits. Milling yield and Flour swelling were decreased in the Livingston lines and remained mostly unchanged for Bonnie Rock. Alveograph result showed that Ay improved dough strength in Livingston and dough extensibility in Bonnie Rock. Zeleny sedimentation value was found to be higher in all three lines of Bonnie Rock but only in one of Livingston derivatives. The dough development time and peak resistance, determined on the micro Z-arm mixer were increased in most cases. Overall, the integration of Ay subunit showed significant positive effects in bread making quality.
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131 Genetic Analysis of Grain Shape, Grain Weight, Test Weight, Milling Yield, and Plant Height in a Spring Wheat Cross Curt McCartney Agriculture and Agri-Food Canada Wheat grain shape affects traits under selection by breeders (e.g. grain weight, test weight, and milling yield). A doubled haploid (DH) population of the cross RL4452/¡®AC Domain¡¯ was used to study the genetic basis of seed shape. Quantitative trait loci (QTL) analyses were conducted on a total of 18 traits: 14 grain shape traits, plant height, 1000-grain weight, test weight, and milling yield. Grain samples were harvested from trials grown at Glenlea, Brandon and Morden in Manitoba, Canada, between 1999 and 2004. Kernel shape was studied through digital image analysis with an Acurum® grain analyzer. Plant height, grain weight, test weight, flour yield, and grain shape were correlated with each other and QTL analysis revealed that QTL for these traits often mapped to the same genetic locations. The most significant QTL for grain shape traits were located on chromosomes 4B and 4D coincident with QTL for plant height. The most significant QTL for plant height, grain weight, and test weight mapped to the Rht-D1 locus on chromosome 4D. Rht-D1b *decreased plant height, grain weight, test weight, and kernel width relative to the *Rht-D1a allele. A narrow genetic interval on chromosome 4B contained significant QTL for grain shape, grain weight, and plant height. The ¡®AC Domain¡¯ allele reduced plant height, grain weight, kernel length and width traits, but had no detectable effect on test weight. The cumulative data indicated that this variation was inconsistent with segregation at Rht-B1 . Numerous additional QTL were also identified that control these traits in this population. 132 Genome-Wide Association Study of Winter Bread Wheat ( Triticum aestivum L.) in Response to Drought in a Multi-Environment European Network. Gaëtan Touzy ARVALIS Institut du V¨¦g¨¦tal Drought is one of the main abiotic stresses limiting wheat ( Triticum aestivum L. ) growth and productivity around the world. Many climate-based simulations have predicted an increase in the frequency and intensity of this abiotic stress. The delivery of new high yielding and stress-tolerant cultivars is now necessary and requires an improved understanding of the basis of the physiological and genetic response to drought. A panel of 220 European elite cultivars was evaluated in 32 field experiments. Grain yield and yield components were scored for each trial. A crop model was run with detailed climatic data and soil water status, to identify the timing, intensity and history of stress for each combination of genotype/trial. Cultivars were genotyped with the TaBW420K chip. This dataset gives us the opportunity for a detailed study of genetic by environmental interactions. Three scenarios of water deficit have been identified in this trial network. The grain yield loss in the two stressed scenarios was between 7 to 12% when compared to the non-stressed scenarios. A large genetic variability of grain yield was identified, with a genotypic variation affecting the mean by ¡À 15%. In the same way, GxE interactions affected the grain yield mean by 12.5%. GWAS were performed using multi-environment mixed models. Several QTLs were identified in the different stress scenarios, the allelic effects of these QTLs have been related to the environmental co-variables. Methods and results will be discussed especially those regarding the impacts of QTLxE interactions on grain yield and components and grain yield. 133 Getting to the Finishing Line: Integrating Optical and Physical Mapping for Megabase-Scale Resolution and Correct Annotation of Wheat Chromosome 7A Rudi Appels Murdoch University Recent advances in whole-genome sequence assembly algorithms and chromosome conformation capture (Hi-C) have enabled the production of the first full-scale pseudomolecules in hexaploid wheat (IWGSC RefSeq v1.0). Resources developed by the IWGSC over the last decade, including BAC libraries and physical maps were critical in validating the sequence and extending scaffolds into super-scaffolds, tripling the assembly N50 from 7Mb to 21Mb in IWGSC RefSeq v1.0. An independent assembly of chromosome 7A based on integrating a variety of datasets, including a BAC-based physical map, mate-pair sequencing, and optical mapping, resulted in the chromosome being assembled into 129 scaffold islands covering 735.1Mb. This assembly combined with the IWGSC RefSeq v1.0 enabled extensive validation as well as the elevation of regions of the chromosome from its existing high-quality draft status to finished status (less than one error per 100,000 base pairs). Integrating all available assembly resources, provided a complete classification of the chromosome into 17 contiguous regions with an N50 of 120Mb, the linear order of which could be independently validated using an 8-way MAGIC molecular genetic map. The value of fully validated sequence at long- and short-range is demonstrated using a number of regions of agronomic importance, including manual curation of the gene space. 134 RNA-Seq Analysis Reveals Jasmonates Related Pathways Associate with Salinity Tolerance in Wheat Qiaoling Luo Institute of Genetics and Developmental Biology, Chinese Academy of Sciences To explore the salt tolerance mechanism of wheat, we carried out RNA sequencing with 12 samples from three seedling tissues of salt-tolerant variety Xiaoyan 60 and high-yielding variety Zhongmai 175 under the salt treatment and the control. After analysis of different expression, 703, 979, 1197 differentially expressed genes (DEGs) were found respectively in new leaves, old leaves and root in Xiaoyan 60 when compared the salt treatment and the control, while the corresponding DEGs number in Zhongmai 175 were 613, 1401 and 1301. Further analysis demonstrated many DEGs were related with salt tolerance. Gene Ontology (GO) analysis showed the term ¡°fatty acid biosynthesis process¡± was significantly enriched in new and old leaves of Xiaoyan 60, concurrently, the KEGG pathways ¡°linoleic acid metabolism¡± and ¡°alpha-linolenic acid metabolism¡± were also enriched. And most DEGs in these processes were up regulated, which indicated the level of jasmonate could be improved because the synthesis of jasmonate (JA) was through ¡°alpha-linolenic acid metabolism¡±. In root tissue of Xiaoyan 60, the most significantly enriched KEGG pathway was ¡°glucosinolate biosynthesis¡±, which could be induced by JAs. Differently, the most significantly enriched GO terms in the new and old leaves of Zhongmai 175 were ¡°response to red or far red light¡± and ¡°cellular response to starvation¡±. And similarly, the KEGG pathway ¡°photosynthesis ¨C antenna proteins¡± was also significantly enriched. Further analysis demonstrated that almost all the DEGs in these terms or pathways in Zhongmai 175 were down regulated, which manifested that the photosynthesis system may be damaged in Zhongmai 175, especially in the old leaves.These results indicate the jasmonates (JAs) related signal pathways may play a vital role in the salt tolerance of Xiaoyan 60. Inversely, the effects of JAs related pathways may be weaker in Zhongmai 175, and the photosynthesis system is destroyed due to the salinity stress. 135 GrainGenes: New Content, New Tools, New Tutorials Victoria Carollo Blake USDA ARS WRRC GrainGenes (https:// graingenes.org ; https://wheat.pw.usda.gov ) is the USDA-ARS database for wheat, barley, oat, and rye genetics and genomics. The GrainGenes project is moving toward a genome-centric resource to accommodate the ¡®big data¡¯ now available for the Triticeae and Avena. In this demo, we will 1) demonstrate the use of the new genome browsers on GrainGenes; 2) describe the variety-specific BLAST databases; 3) review the wealth of new content; and 4) share the collection of recently created topic-specific tutorials. Collaborations with The Triticeae Toolbox (T3), WheatIS, and Agriculture and Agri-Food Canada (AAFC) will assure that GrainGenes remains an important resource for the small grains research community. Mutual projects with our collaborators and future directions for the GrainGenes project will be discussed. 136 Multiplex Restriction Amplicon Sequencing (MRASeq), a New Next Generation Sequencing-Based Marker Platform for Genotyping Amy N. Bernardo Kansas State University Marker-assisted breeding enables the indirect selection of traits that are difficult and/or costly to phenotype thereby saving time and money, and increasing selection efficiency. To be useful in breeding programs, markers for genome-wide genotyping must be low cost, randomly distributed throughout the genome, high-throughput, and technically simple. We developed a PCR and NGS-based, low cost, high-throughput genotyping technology for genome-wide marker assays. This technology, designated as Multiplex Restriction Amplicon Sequencing (MRASeq), reduces genome complexity by PCR-amplification of selected portions of genomic regions flanked by restriction sites and is achieved using tailed and semi-degenerate PCR primers with restriction enzyme sequence at the 3¡¯-end. MRASeq is flexible because the restriction enzyme sequence and the adjacent degenerate base sequence in the primers can be altered to suit the species of interest. MRASeq uses restriction sites as primer sites and does not make use of restriction enzymes. The incorporation of unique barcodes during a second PCR allows hundreds of samples to be multiplexed in one sequencing run. Linkage mapping of polymorphic MRASeq SNP markers in an allohexaploid wheat biparental population showed random distribution of SNPs across genomes. MRASeq on wheat and barley natural populations generated thousands of SNPs suitable for genomic selection. Therefore, this marker platform can be used for linkage mapping, background selection, or any other purpose in which large numbers of markers are needed. This simple, flexible and high-throughput genotyping method should be useful in genotyping laboratories, plant breeding programs, and genetic research. 137 Complete Chloroplast Genomes of *Aegilops tauschii *coss. and *Ae.Cylindrica *Host Sheds Light on Plasmon D Evolution Mari Gogniashvili Institute of Molecular Genetics, Agricultural University of Georgia Hexaploid wheat (Triticum aestivum L., genomes AABBDD) originated in South Caucasus by allopolyploidization of the cultivated Emmer wheat T. dicoccum (genomes AABB) with the Caucasian Ae. tauschii ssp strangulata (genomes DD). Genetic variation of Ae. tauschii is an important natural resource, that is why it is of particular importance to investigate how this variation was formed during Ae. tauschii evolutionary history and how it is presented through the species area. The D genome is also found in tetraploid Ae. cylindrica Host (2n = 28, CCDD). The plasmon diversity that exists in Triticum and Aegilops species is of great significance for understanding the evolution of these genera. In the present investigation the complete nucleotide sequence of plasmon D (chloroplast DNA) of nine accessions of Ae. tauschii and two accessions of Ae. cylindrica are presented. Twenty-eight SNPs are characteristic for both TauL1 and TauL2 accessions of Ae. tauschii using TauL3 as a reference. Four SNPs are additionally observed for TauL2 lineage. The longest (27 bp) indel is located in the intergenic spacer Rps15-ndhF of SSC. This indel can be used for simple determination of TauL3 lineage among Ae. tauschii accessions. In the case of Ae. cylindrica additionally 7 SNPs were observed. The phylogeny tree shows that chloroplast DNA of TauL1 and TauL2 diverged from the TauL3 lineage. TauL1 lineage is relatively older then TauL2. The position of Ae. cylindrica accessions on Ae. tauschii phylogeny tree constructed on chloroplast DNA variation data is intermediate between TauL1 and TauL2. The complete nucleotide sequence of chloroplast DNA of Ae. tauschii and Ae. cylindrica allows to refine the origin and evolution of D plasmon of genus Aegilops. 138 Can We Apply Lessons Learned from Manual Gene Annotation in Human and Mouse to Wheat? Jane Loveland EMBL-EBI The Ensembl-HAVANA team have significant expertise in manual genome annotation and over the last 15 years have been providing reference gene annotation for whole genomes (human, mouse and zebrafish), individual chromosomes (Pig chr X and Y), genes (Rat, Pig) and regions (MHC of Gorilla, Pig, Dog, Wallaby, Tasmanian devil) of community interest. Comprehensive manual annotation of high quality genomes is labour intensive and as such is not practical for very many genomes, however, automated gene annotation methods such as the Ensembl genebuild pipeline, can do a good job of a capturing the geneset, particularly protein coding genes. It is clear that experts in individual communities will want to improve the baseline automated annotation, for example to adequately capture their knowledge of functionally important genes or resolve annotation errors in complex regions such as gene clusters that present particular challenges for automated pipelines. We have a history of successful annotation workshops that have been co-ordinated by our team, namely for cow, pig and rat, where we provided training and annotation expertise to particular communities. As individual groups and communities create their own gene annotation, there is a danger that any divergence in their approach could hinder accurate downstream analysis both within and between species. For example, the CCDS collaboration between ourselves and RefSeq was established to agree common annotation for at least one CDS in every protein-coding gene in the already well annotated human and mouse genomes. Despite the technical expertise in both groups and the wealth of available experimental data in these species, small differences in starting annotation guidelines led to significant differences in the annotated genes, requiring the resolution of many hundreds of annotation differences. We will present our guidelines and practices for annotation, based on our accumulated knowledge from producing reference gene annotation as framework that could be used to inform the approach of a community towards manual annotation, for example, by providing guidelines that can be used in a platform agnostic way to help inform decisions on annotating structural and functional information for genes and transcripts. 139 The Hexaploid Oat Genome Nick Sirijovski Lund University Relative to other cereals such as rice, barley and wheat, very little is know about the genetics of oat. Cultivated oat ( Avena sativa ) is a hexaploid comprised of three diploid genomes (AACCDD). It has a 1C genome of 21 chromosomes with a total size estimated to 13Gb. The large genome size and polyploidy has meant that deciphering the genetics of cultivated oat has lagged behind other cereals. Recently, oat has received much attention due to well documented health benefits of consuming this ¡®super food¡¯, which in turn has lead to increased production of oat-based novel foods and ingredients e.g. dairy alternatives, beta-glucan extracts, and even meat substitutes. With the fast paced development of next generation sequencing technologies, it has now become possible and affordable to undertake genome sequencing of hexaploid oat using short read technology. Herein we report on the status of the Swedish oat genome sequencing project, which is part of the newly inaugurated ScanOats research center in Lund, Sweden. 140 Cloning of the Zero-Rowed Spike 1 in Barley Shun Sakuma Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Inflorescence architecture is a major determinant of the components of final grain yield in the cereals. The inflorescence can take the form of a panicle (rice, sorghum, and maize) or a spike (wheat, barley and rye). Barley¡¯s spike is composed of three spikelets (one central spikelet and two lateral spikelets) per rachis node that is a unique character of Hordeum species among Triticeae. Cultivated barley ( Hordeum vulgare ssp. vulgare L.) produces either two-rowed (central spikelet fertile; lateral spikelets sterile) or six-rowed (complete fertility of the three spikelets) spikes. The six-rowed spike or lateral spikelet fertility is under the control of Six-rowed spike 1 ( vrs1) , vrs2 , vrs3, vrs4 and Intermedium spike-c ( int-c ). However, the genetic basis of three-spikelet structure in a distichous manner was not fully elucidated yet. To address this, we identified the zero-rowed spike 1 ( zrs1 ) mutant derived from mutagenesis of wild barley ( Hordeum vulgare ssp. spontaneum L.). The zrs1 mutant shows severe spikelet initiation defects and its distichous pattern is lost. At the vegetative growth the phylotaxis is normal as wildtype, however, after reproductive stage some tillers show onion-like leaf structure. We conducted genetic analysis using whole genome sequencing and RNA sequencing approach to reveal the genetic basis of the zrs1 mutant. 141 Gene Flow between Rye and its Wild Relatives Mona Schreiber IPK Gatersleben Rye ( Secale cereale L.) is a cereal grass that is an important food crop in Central and Eastern Europe. In contrast to its close relatives wheat and barley, it was not a founder crop of Neolithic agriculture, but is considered a secondary domesticate that may have become a crop plant only after a transitory phase as a weed. As a minor crop of only local importance, genomic resources in rye are underdeveloped, and few population genetic studies using genome-wide markers have been published to date. We collected genotyping-by-sequencing data for 603 individuals from 101 genebank accessions of domesticated rye and its wild progenitor S. cereale *subsp. vavilovii* and related species in the genus Secale . Variant detection in the context of a recently published draft sequence assembly of cultivated rye yielded 55,744 single-nucleotide polymorphisms with present genotype calls in 90 % of samples. Analysis of population structure recapitulated the taxonomy of the genus Secale . We found only weak genetic differentiation between wild and domesticated rye with likely gene flow between the two groups. Moreover, incomplete lineage sorting was frequent between Secale *species either because of on-going gene flow or recent speciation. Our study highlights the necessity of gauging the representativeness of *ex situ germplasm collections for domestication studies and motivates a more in-depth analysis of the interplay between sequence divergence and reproductive isolation in the genus Secale . 142 Challenges and Opportunities of Connecting Phenotype with Genotype; Perspectives from Seeds of Discovery and Excellence in Breeding. Sarah Hearne CIMMYT International Maize and Wheat Improvement Center Management of data along complex and logistically challenged crop research and breeding processes is often the last thing to be considered in planning processes and is consequently an Achilles heel, limiting the impact of many projects and initiatives. Here we present a review of some of the challenges, interventions and opportunities in data management from the perspectives of an established initiative and a new cross commodity platform. The Seeds of Discovery initiative (SeeD) aims to explore and leverage high value novel diversity for maize and wheat breeding application. In the 6.5 years since inception, SeeD has generated vast quantities of genotypic and phenotypic data from extensive evaluation of germplasm bank accessions. The effective management of this data along the collection, curation, analysis and dissemination continuum has evolved, resulting in multidisciplinary and multi-institutional development of systems, standard operating procedures and business rules. We present some of the experiences of SeeD in developing effective practices to connect genotype with phenotype. The CGIAR Excellence in Breeding Platform (EiB), established in 2017, is developing a resource and support structure to modernize breeding programs targeting the developing world. EiB draws from innovations in the public and private sector to provide access to cutting-edge tools, services and best practices, training and practical advice for breeding programs. Data accuracy, integrity and interconnectivity are fundamental to breeding gain and EiB is placing strong emphasis on the sharing of best practices and resources in this area. Current plans and initial platform activities in this area will be presented. 143 Advanced Genomics Tools for Deep Insights into Complex Genome Systems Jayson Talag Arizona Genomics Institute The Arizona Genomics Institute (AGI) has played significant roles in numerous genome projects over the past 15 years, including Asian and African rice and its 20 wild relatives, maize, wheat, Brachypodium, date palm, sugarcane, citrus, cacao, soybean and its wild relatives, brassicas, tomato, tree nuts, etc. AGI¡¯s expertise is not limited to plants, and includes model species like Drosophila (19 genomes), zebra finch, Biomphalaria and nurse shark, dingo, as examples. AGI¡¯s philosophy is that the first genome sequence of any species should be as high a quality as possible. To achieve this standard, AGI is currently employing long-read sequencing platform ¨C e.g. PacBio¡¯s SEQUEL. Using this instrument, our read lengths Sub read N50 average 20KB, with 23KB on some projects. The average output is ~5Gb/cell, with some over 9Gb/cell. Using this technology to sequence BAC-pool we published two of the highest quality indica rice genomes August of 2016. Theses genome have now been upgraded with the addition of whole genome shotgun PacBio data resulting in near gap free assemblies with less than 20 gaps/genome. A critical key to our success lies in our ability to isolate high-quality high-molecular weight DNA as initial substrates for library construction. We have found that specific considerations must be addressed to achieve access to genomic substrates (HMW DNA and RNA) for downstream high quality performance. These include defined tissue types and collection protocols, careful extraction procedures and chemistry modifications, advanced purification steps using both chemical and electrophoretic methods, and very stringent quality control measures to assure substrate performance. Our methods have been used to produce high quality substrates for a variety of different applications such as Pacbio, Illumina, RNAseq, 10x Genomics, Dovetail, BAC library construction, etc. 144 Integrating and Displaying Plant Gene Expression in Expression Atlas Laura Huerta European Bioinformatics Institute (EMBL-EBI) Expression Atlas ( https://www.ebi.ac.uk/gxa ) is a database and web-service at EMBL-EBI that selects, curates, re-analyses and displays gene expression data in a baseline context, e.g. to find genes expressed in different tissues in potato, and in a differential context, e.g. to find up-regulated genes in response to stripe rust and powdery mildew in wheat. Plant experiments from ArrayExpress, GEO and SRA/ENA/DDBJ are selected for curation and analysis. Data curation involves enriching sample annotation with additional metadata, annotating metadata with Experimental Factor Ontology (EFO) terms and deciding comparisons for differential expression analysis based on associated publications and correspondence with the original researchers. Data analysis is performed using open source tools for microarray data and our standardized pipeline iRAP ( https://github.com/nunofonseca/irap ) for RNA-seq data. Currently, we provide gene expression analysis results for more than 700 plant experiments across 20 different plant species. Expression Atlas can be searched by gene, gene set and biological condition queries. The use of EFO annotations allows efficient search via ontology-driven query expansion and facilitates data integration across multiple experiments. We offer downstream analysis and visualization such as gene co-expression, biological variation among replicates, transcript quantification, visualization of gene expression in Gramene genome browser and enrichment of Gene Ontology terms and Reactome pathways. Finally, we have developed an automatic pipeline that discovers new plant RNA-seq data at ENA for 45 different species, performs quality control, alignment to the genome reference in Ensembl plants and quantification of gene and exon expression. The analysis results are available via our RNASeq-er API ( https://www.ebi.ac.uk/fg/rnaseq/api/ ). 145 Mining DNA Methylation Variations in Alleles and Homeologs using CGmapTools Weilong Guo China Agricultural University DNA methylation is important for gene silencing and imprinting in both plants and animals. We developed software CGmapTools (freely available at https://cgmaptools.github.io/ ) as a toolset for mining DNA methylation information in BS-seq data, by integrating ~40 command-lines applications into one package. This package uses CGmap and ATCGmap as the format interfaces, and designed binary formats to reduce the file sizes and support fast data retrieval, and can be applied for context-wise, gene-wise, bin-wise, region-wise, and sample-wise analyses and visualizations. To accurately identifying heterozygous SNVs from partially C-to-T converted, we designed two methods, BayesWC and BinomWC, that substantially improved the precision of heterozygous SNV calls from ~80% to 99% while retaining comparable recalls. With these SNV calls, we provided functions for allele-specific DNA methylation (ASM) analysis and visualizing the methylation status on reads. Applying ASM analysis to a previous dataset, we found that an average of 1.5% of investigated regions showed allelic methylation, which were significantly enriched in transposon elements and likely to be shared by the same cell-type. A dynamic fragment strategy was utilized for DMR analysis in low-coverage data. Recently, we develop new method for mining differential DNA methylations among homeologs, suitable for allopolyploid genomes, such as bread wheat. The new method also support visualising DNA methylomes variations and genomic variations among homeologs. 146 New Genotyping Technology, GRAS-Di, Using Next Generation Sequencer Hiroyuki Enoki Toyota Motor Corporation We developed new genotyping technology, Genotyping by Random Amplicon Sequencing-Direct (GRAS-Di). This technology consisted of sample preparation using high concentration random primer, NGS and data analysis. The sample preparation was very simple. It was not necessary to do primer design, enzyme digestion, fragmentation, size selection, adaptor ligation, and sample normalization. It was only two steps PCR for NGS library without specialized equipment. Rice BIL population was used for evaluation of genotyping by GRAS-Di (96 samples / lane of HiSeq2500). The number of reads for each amplicon was highly reproducibility, r 0.99, with repetition. Over ten thousand SNPs were detected among the BIL population and the SNPs were distributed uniformly rice genome. The ratio of missing value was very low, 1.5%. The reproducibility of SNP was 99.9% with repetition. If there was no reference sequence, genotype data could be detected by GRAS-Di using original algorism based on amplicon analysis. Theoretically, the technology is also applicable to other creatures, including highly polyploidy creatures. We performed the applicability test for several creatures. The result shown that the technology was applicable for over fifty creatures, including wheat, soybean, tomato, potato, sugarcane, cow, pig, chicken, tuna and human. The technology could be provided over 30,000 multiplex sequencing at once. We think that GRAS-Di would be very easy and very powerful technology for genome wide genotyping in many creatures. We signed licensing agreement with Kazusa DNA Research Institute, Eurofins Genomics, and GeneBay for GRAS-Di. 147¡¢Stacking Multiple Stem Rust Resistance Genes at a Single Locus for Durable Resistance in Wheat Ming Luo Commonwealth Scientific and Industrial Research Organisation Stem rust disease caused by the fungal pathogen Puccinia graminis f.sp tritici is a significant threat to global wheat production. The most cost effective way to control this disease is by genetic resistance. However major gene resistance is often readily overcome by pathogen evolution when resistance genes are deployed singularly. Combining major resistance genes is believed to extend their durability as multiple mutations are required in the pathogen to overcome this polygenic resistance. Major resistance genes can be combined by conventional breeding however this is a labour intensive process and resistance gene combinations are difficult to maintain in segregating families. In this study, we have used cloned stem rust resistance genes Sr22, Sr35, Sr45, Sr46 and Sr50 and the multi-pathogen adult plant rust resistance gene Sr55/Lr67/Yr46/Pm46/Ltn3 to produce binary vectors containing combinations of these genes. Constructs containing either 3, 4, 5 or 6 rust resistance genes were produced and transformed into bread wheat by Agrobacterium transformation. Molecular/genetic analysis demonstrated that some transgenic wheat lines contain all the resistance genes present in the binary vector used for transformation (ie. up to six) and these genes are inherited as a single locus in progeny plants. Transgenic plants are resistant to wheat stem rust disease with resistance co-segregating with the multigene transgenic locus. 148 MAGIC Yield: Using an Eight Founder Population for the Genetic Dissection of Yield and Yield Components in UK Winter Wheat Benedetta Saccomanno NIAB Multiparent advanced generation inter-cross (MAGIC) populations are a powerful mapping resource in crop genetics for the dissection of complex traits, previously hindered by relatively low genetic recombination and allelic diversity of traditional bi-parental populations. Wheat (*Triticum aestivum *L.) is a major arable crop of global importance, covering 1.6 million hectares in the UK alone (AHDB survey, 2017). Breeders and farmers must continue to improve wheat grain yield and yield stability to help meet demand from an increasing population, and to ensure food security in the face of the effects of climate change. The Magic Yield project helps address these problems by using an eight-founder MAGIC population (Mackay *et al. *2014), consisting of 1,000 lines created by inter-crossing eight elite UK winter wheat varieties over three generations, to study the genetic basis of yield and yield components. With the participation of five wheat breeding companies, we conducted field trials at five UK sites for two consecutive years, phenotyping yield and a suite of pre- and post-harvest yield components. Phenotypic data coupled with Illumina iSelect 90k SNP genotype data (Gardner *et al. *2016) allowed the detection of a total of 76 quantitative trait loci (QTL) across all year, trait and site combinations. Flanking markers for selected QTL were converted to Kompetitive Allele Specific PCR (KASP) markers to aid fine-mapping and consequent characterization of genes controlling yield. Ultimately, the resources generated will aid the selection of wheat lines with improved performance within breeding programs, for the downstream benefit to growers and end-users.
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118 Genome-Specific Amplicon Sequencing Strategy Provides Robust Markers across D Genome in Allohexaploid Wheat Goro Ishikawa Institute of Crop Science, National Agriculture and Food Research Organization (NARO)Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO) In allohexaploid wheat, array-based genotyping platforms have been widely used for genetic analyses. However, when commercially available arrays were applied for Japanese varieties, there was a low rate of polymorphism and biased distribution of markers across the genomes, especially the D genome. These results indicate that our materials are genetically distant from those used to design the arrays. To increase genome-wide mapping markers suitable for our materials, we have established an efficient procedure to detect nucleotide polymorphisms, and a robust method for genotyping by sequencing genome and site-specific amplicons. Here we present the procedure focusing on the D genome. By sequence capture and next-generation sequencing, 12,551 polymorphisms between wheat varieties ¡®Hatsumochi¡¯ and ¡®Kitahonami¡¯ were detected across the three genomes. The flanking sequences of target polymorphisms were blasted against the International Wheat Genome Sequencing Consortium survey sequences, and three homoeologous sequences were identified. Based on the polymorphisms among the genomes, 396 D genome-specific primer pairs were designed using an in-house Java pipeline. Approximately 80% of the designed primers successfully amplified genome-specific products, indicating that they could be genotyped as easily as a diploid species. Linkage maps of recombinant inbred lines between the two varieties revealed that the newly developed markers were uniformly distributed across the D genome and greatly extended the total coverage. This result proved that the strategy described here can be useful to increase the number of markers at target sites. This work was supported by grants from the Ministry of Agriculture, Forestry and Fisheries of Japan (NGB1002, NGB1007). 119 Breeding Strategies using Genomic Selection Increase Genetic Gain in Wheat Breeding Programs Biructawit B. Tessema Molecular Biology and Genetics, Aarhus University The traditional wheat breeding programs have been running for several years yet the genetic gain has been very limited. However, the use of genomic information for a selection criterion can increase genetic gain. This study was set to see how much genetic gain can be increased by implementing genomic selection on traditional wheat breeding program. In addition, we investigated the effect of genetic correlation between different traits on genetic gain. A series of wheat breeding programs that run simultaneously for 30 years was simulated using stochastic simulation, meaning each year a new breeding program starts with a cross of 60 parental lines followed by six generations of selfing. Selection was performed on three different generations. At F2, phenotypic selection was performed on breeder¡¯s visual preference. At F5 and F6, either phenotype or Genomic Estimated Breeding Value (GEBV) was used to select on yield. Yield at F5 and F6 was considered as different traits because they differ in plot size, population density, and number of plot replications. Plot heritability of these traits were 0.1, 0.2, and 0.3 while the economic values were 0, 0, and 1. In addition, we simulated different levels (0.3, 0.5, 0.7, 0.9) of genetic correlation between F2 and F5 as well as between F5 and F6. The varied selection criterion and varied genetic correlations make a total of 16 scenarios. GEBV as a selection criterion significantly increased genetic gain by 10% compared to phenotype. Besides, the genetic gain was higher with the higher genetic correlation between traits. 120 Genomic Selection for End-Use Quality Traits in Soft White Wheat (Triticum aestivum L.) Jayfred Gaham Godoy Washington State University End-use quality traits in soft white wheat are complex traits that are controlled by multiple genetic factors with minor effects. A previous genome-wide association study (GWAS) identified 105 SNP markers for end-use quality traits but these markers only explained 5 ¨C 30% of the phenotypic variation leaving a larger portion of unaccounted heritability. Genomic selection (GS) is a breeding method to predict breeding values using genome-wide markers. GS can simultaneously model all additive genetic variance that is unaccounted for in GWAS. We assessed the application of GS for 21 end-use quality traits using a panel of 469 elite soft white winter wheat from Pacific Northwest breeding programs that were genotyped with 15,229 SNP markers. Genomic prediction using single and multi-trait models were evaluated using the R packages rrBLUP and PHENIX, respectively. Single trait prediction estimates were calculated using the gBLUP model. The multi-trait model used genetic information from the kinship matrix and trait correlation to estimate genomic estimated breeding values (GEBVs). Prediction accuracies following a 10-fold cross validation were 30 ¨C 87% for the single trait model and 69 ¨C 99% for the multi-trait model. Prediction accuracies were significantly higher (up to a 100% increase) in the multi-trait model especially for low heritability traits. Our results suggest that genomic selection can be an efficient tool to develop soft white wheat with superior end-use quality traits. We are currently validating the multi-trait GS model to predict end-use quality performance in different breeding populations (e.g. F5 single plots and double haploids) using genotype-by-sequencing data. 121 Fine Mapping a Major QTL Controlled Tiller Number and Plant Height Using a Wheat660K SNP Array Tao Xu Nanjing Agricultural University Tiller number and plant height are two major agronomic traits in cereal crops affecting plant architecture and grain yield. NAUH167, a mutant of common wheat landrace Wangshuibai induced by ethylmethyl sulfide (EMS) treatment, exhibits higher tiller number and reduced plant height. A stable major QTL designated QHt.nau-2D controlling plant height and tiller number, was mapped to the short arm of chromosome 2D flanked by markers QHT239 and QHT187 covering a predicted physical distance of 6.77 Mb. To further map the QHt.nau-2D loci, a population consisted of 6009 F2 progeny from a cross 2011I-78 /NAUH167 was constructed. At the same time, additional molecular markers were developed to saturate the QHt.nau -2D region based on the Wheat660K SNP array. On the basis of Chinese Spring sequences, 53 ARMS-PCR and 18 CAPS/dCAPS markers were designed to detect the polymorphism between 2011I-78 and NAUH167. Finally, QHt.nau-2D was located within a genetic region of 0.5 cM between markers QHT239 and SNP17 spanning a 1.22 Mb physical genomic region of Ae. tauschii chromosome 2DS. The genetic and physical maps of *QHt.nau-2D *provide a framework for map-based cloning and this research would facilitate the characterization of plant height and tiller number in wheat. 122 Survey Sequencing of Flow-Sorted H**aynaldia villosa Chromosome 6VS Wentao Wan Nanjing Agricultural University Haynaldia villosa has been recognized as a useful germplasm for wheat breeding and improvement and the availability of genomic sequence would accelerate its research and application. In the present work, the short arm of H.** **villosa chromosome 6V in which powdery mildew resistant gene Pm21 have been mapped was flow-sorted by flow cytometry from a telocentric chromosome addition line of 6VS and sequenced using Illumina platform. We obtained a total of 47.7Gb raw sequencing reads and by de novo assembly 230.39Mb assembled sequence. Repetitive elements account for about 74.91% of the genome. 3,276 genes were annotated in the coding fraction of the genome which account for about 2.1%. The syntenic regions of 6VS genes were searched and identified on wheat group 6 chromosomes 6AS, 6BS, 6DS, rice chromosome 2, Brachypodium chromosome 3, and sorghum chromosome 4. Based on the size difference of intron for the synteny genes among 6VS genome and wheat group 6 chromosomes, we designed 222 IT markers, in which 120 markers had specific amplification on 6VS genome.The preliminary genomic sequence of 6VS provides genetic information for cloning genes on this chromosome and developing IT markers for molecular marker assisted breeding and physical map construction. 123 Speed Breeding with Genomic Selection to Accelerate Wheat Variety Development Amy Watson The University of Queensland Genomic selection (GS) in wheat could accelerate yield gain principally through a reduction in breeding cycle duration. A method for rapid generation advance called ¡®speed breeding¡¯ (SB) enables up to six generations of spring wheat per year, and could be used to accelerate breeding population development and be combined with GS in various breeding schemes to enable even further gains. To improve the accuracy of selection for improved yields, many heritable traits that are genetically correlated with yield could be measured in the field and used in multi-trait models to improve genetic gain (over that of traditional single-trait models only containing yield data of the training population). To test these hypotheses, a 260 multi-parent spring wheat population, genotyped with 8,000 DArT polymorphic markers, underwent yield trials over three years. Trial plots were also phenotyped for height and normalized difference vegetation index (NDVI) using a hand-held GreenSeeker sensor. Yield prediction accuracy was accessed using five-fold cross validation and predicting into different years. Results indicate multi-trait GS prediction including field proxy traits improved selection for field-based yield over that of single-trait models. These traits could be phenotyped in the field following rapid line development under SB and used with training population yield data to advance genetic gain and wheat variety development. 124 High Level of Structural and Sequence Divergence between Homologous Regions of Bread Wheat and T. militinae within the Powdery Mildew Resistance Locus Qpm.Tut-4A Eva Jan¨¢kov¨¢ Institute of Experimental Botany Introgression of QPm.tut-4A locus from Triticum militinae into the distal end of bread wheat chromosome 4AL confers improved resistance against powdery mildew. The locus was high-density mapped and delimited to 0.024 cM using 8327 individuals and 75 markers. Using additional 2052 ph1 *lines seven new recombinations were identified. After chromosome walking, final flanking markers *owm169 *and *owm228 were mapped and the region was found 640.8 kbp and 480.2 kbp long in cv. Chinese Spring (CS) and *T. militinae *(TM), respectively. The cM/Mb ratio is much smaller compared to these commonly found at the end of wheat chromosomes. The sequenced region was annotated and 16 and 12 protein coding genes were identified in CS and TM, respectively. Out of them, seven CS and six TM genes were not syntenic. Furthermore, intergenic regions do not show a significant similarity between CS and TM. The TM region containing the remaining six genes has a syntenic counterpart in CS, but that region was duplicated and one of the duplications was inverted. The duplication and inversion were accompanied by gene loss and four of the TM genes have their counterparts in both duplicated regions in CS. Finally, three genes from the CS region do not have their homologs in the TM region. These structural and sequence differences are major reasons for the discrepancy between the expected and observed cM/Mb ratio. This work was supported by award LO1204 from the National Program of Sustainability I and by the Estonian Ministry of Agriculture. 125 Technologies to Increase Genetic Potential Productivity Under Abiotic Stress for Winter Wheat and Barley Crops, in Climatic Condition from Braila Plain, Romania Daniela Trifan BRAICOOP Agricultural Cooperative - Research DepartmentAgricultural Research and Development Station Each agricultural crop has a theoretical genetic potential, which is represented by the production quantity and quality obtained by the variety of culture, in perfect condition. But perfect conditions for culture there are in few places, especially lately, when seen increasingly accelerated phenomenon of climate change. Increasing theoretical genetic potential for productivity was achieved for each species grown in many years of genetic research, both in the laboratory and in the field experiences. Every year is putting out more and more performing varieties with increased resistance to drought, heat, pests and diseases etc. But genetic potential to the maximum occurs when growing conditions are as close genetically programmed requirements. The abiotic stress can significantly reduces the genetic productivity potential from the very early stages of germination and the vegetation, if the conditions are not fulfilled optimum microclimate (humidity, temperature, nutrients, absence of pests and diseases, etc.). On the other hand, even if the plant grew and developed normally, but is attacked by diseases or pests in a phase of vegetation close to reproduction, this can significantly reduce production unless corrective measures and effective protection of agricultural crops. This paper presents the results about monitoring of genetic potential at some winter wheat and barley varieties, and the results of agrophytotechnical methods to increase genetic potential on production and product quality. The experiments during in the period 2012 - 2017, at Agricultural Research and Development Station of Braila, Romania, by comparing the genetic production potential of some varieties of wheat and barley under different densities and dates of sowing, different fertilization (chemical and biological), and the application of plant biostimulators, also. 126 Structural Organization and Gene Duplication in the Chromosomal Region Harboring the Alpha-Gliadin Gene Family in Aegilops tauschii Yong Q. Gu USDA ARS, Western Regional Research Center Among the wheat prolamins important for its end-use traits, ¦Á-gliadins are the most abundant and also a major cause of food-related allergies and intolerances. Previous studies of various wheat species estimated between 25 to 150 ¦Á-gliadin genes reside in the Gli-2 locus regions. To better understand the evolution of this complex gene family, the DNA sequence of a 1.75-Mb genomic region spanning the Gli-2 locus was analyzed in the diploid grass, Aegilops tauschii , the ancestral source of D genome in hexaploid bread wheat. Comparison with orthologous regions from rice, sorghum, and Brachypodium revealed rapid and dynamic changes only occurring to the Ae. tauschii Gli-2 region, including insertions of high numbers of non-syntenic genes and a high rate of tandem gene duplications, the latter of which have given rise to 12 copies of ¦Á-gliadin genes clustered within a 550-kb region. Among them, five copies have undergone pseudogenization by various mutation events. Insights into the evolutionary relationship of the duplicated ¦Á-gliadin genes were obtained from their genomic organization, transcription patterns, transposable element insertions, and phylogenetic analyses. An ancestral GLR gene encoding putative amino acid sensor in all four grass species has duplicated only in Ae. tauschii and generated three more copies that are interspersed with the ¦Á-gliadin genes. Phylogenetic inference and different gene expression patterns support functional divergence of the Ae. tauschii GLR copies after duplication. Our results suggest that the duplicates of ¦Á-gliadin and GLR genes have likely taken different evolutionary paths; conservation for the former and neofunctionalization for the latter. 127 Comparison of Durum Landraces with Northern Great Plains Adapted Cultivars and Identification of Selection Sweeps Jason Fiedler North Dakota State University Durum wheat ( T. turgidum ssp. Durum, AABB ) is a key crop for high-value food production. Modern breeding programs over the last century have developed a number of elite cultivars that are adapted for growth in the Northern Great Plains. To investigate the genomics underlying this adaptation, we compare 449 global durum lines from the Wheat Coordinated Agricultural Project with 34 advanced lines from the North Dakota State University (NDSU) Durum Breeding Program. We used genotype-by-sequencing (GBS) to identify 21,030 single nucleotide polymorphisms (SNP)s in the populations and measured genetic diversity on several scales. We find that population sub-structure designations largely agree with regional adaptation, and lines adapted to the Northern Great Plains show relatively low genetic diversity and high allelic fixation. We identified 23 genetic intervals that display differential allelic fixation between un-adapted and improved lines, suggesting that these linkage blocks are important for durum improvement. Screening potential lines for these linkage blocks could accelerate breeding efforts, and understanding the genes in these regions could shed light on the molecular characteristics of elite lines. 128 PolySNP: An R Package for Calling Polyploid SNP Array Data using Gaussian Mixture Models Matthew T. McGowan Washington State University The genomic complexity in polyploid plant species makes genotype calling difficult when processing data generated from a high-density SNP array. We present a novel computational method and a software package for calling genotypes from raw hexaploid wheat data generated using the 9k iSelect® assay previously developed for wheat. This method involves fitting an indeterminatenumber of Gaussian mixture components and identifying the optimal number of clusters using an EM-like algorithm implemented in the 'Rmixmod' package. Then markers with bi-allelic patterns are further analyzed by merging outlier clusters and identifying heterozygous clusters. Genotypes are then called based on cluster assignment. Furthermore, models generated with a diverse population can be later used to call genotypes for smaller populations, drastically reducing computational complexity for subsequent calls. This method was tested using a diverse wheat population (n = 1654) and resulting genotypes were compared to previously called genotypes using the current standard method of manual curation. Genomic predictions were generated for both genotype sets using the gBLUP method implemented in the 'rrBLUP' package in R for five different phenotypes. Regression coefficients for predicted vs observed values were improved by 1.38% when using genotypes generated with this new method. Despite an increased computational cost of using Gaussian mixture models, a reduced supervision requirement and increased ability to resolve complex signal patterns allow it to generate more predictive genotypes with less manual manipulation. 129 Genotypic and Phenotypic Evaluation of Preharvest Sprouting in Two and Six Row Barley Jason Walling USDA, ARS, MWA, Cereal Crops Research Unit, Madison, WI Preharvest Sprouting (PHS) is a problem negatively affecting both yields and quality of cereal crops grown world-wide. Preharvest Sprouting can be generalized as the propensity of a seed to begin germination while still on the parent plant and is most widely observed in regions with high humidity and/or excessive periods of rain. Barley with signs of PHS is rejected for malt and can only be sold as feed, results in a loss to the grower of about half the value. Preharvest sprouting is a complex trait involving contributions from both multi-genic and environmental factors. Recently, a gene ( TaPHS1 ), was described in Triticum aestivum *(wheat) whose variable genotype and specific gene expression were associated with wheat lines that show either resistance or susceptibility to PHS. Here we present the exonic sequencing and genotypic characterization of the barley ( Hordeum vulgare ) homolog *HvPHS1 in over 120 barley lines. Additionally, we evaluated each of these lines for dormancy using standard germination tests and also for PHS by challenging intact heads to sprout in an artificial rain chamber. 130 Mining Natural Variation in Triticeae to Improve Plant Immunity Burkhard Steuernagel John Innes Centre It is widely acknowledged that during domestication many crops went through a genetic bottleneck leading to loss of large parts of intraspecific diversity. Modern agriculture therefore seeks to recruit genetic diversity from wild relatives to improve crops. One important area of crop improvement is breeding for resilience to biotic stress. Mining resistance genes from crop wild relatives, however, is a laborious endeavour due to their poor agronomy, ploidy differences, and limited genomic resources. Gene cloning projects are usually long procedures involving the creation of populations dedicated to only a single gene. Here we report Association Genetics using Resistance gene ENrichment SEQuencing (AgRenSeq) to rapidly clone resistance genes from a wild diversity panel through association genomics of selectively captured and sequenced resistance gene analogues. We demonstrate our concept by mining a panel of 151 accessions of Aegilops tauschii , a wild relative of wheat, for resistance genes against the wheat stem rust causing fungus Puccinia graminis f. sp. tritici .
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91 Genetic Dissection of Morphological and Phenological Traits Associated with Domestication Syndrome in Durum ¡Á Wild Emmer Wheat RIL Population Andrii Fatiukha Institute of Evolution and the Department of Evolutionary and Environmental Biology, Faculty of Science and Science Education, University of Haifa Domestication and subsequent evolution under domestication of wheat caused substantial genetic changes, which affected plant morphology, physiology and phenology. Morphological characters, such as compactness of spikes, the number of side shoots, can be mentioned as domestication related traits in cereals. We suggest to consider the angle of side shoots (Ash) as a novel trait associated with the domestication syndrome. The objective of this study is to provide a better understanding of the antagonism between natural and man-made selection of the traits under domestication in order to identify the significant changes in phenology and morphology of wheat during domestication. We used a recombinant inbred line (RIL) population derived from a cross between Triticum durum (cv. Langdon) and *Triticum dicoccoides *(acc. G18-16) for mapping of quantitative trait loci (QTL) of five morphological and three phenological traits. A total of 36 QTL effects were identified that were co-located in 21 loci. Eight of these loci showed pleiotropic effects on the studied traits (including phenology). A major QTL effect of Ash, co-located with strong phenological effect, was identified on chromosome 2BL. We found that phenological loci affected the duration of flowering and development of wheat in different manners. The duration of the reproductive stage in cereals affects the development of apical meristem and many other morphological traits, such as the number of spikelets per spike and the number of side shoots. These results shed more light on shaping of wheat plant architecture and development during its evolution under domestication. 92 Molecular Dissection of AGPase Enzyme and its Genes in Wheat and Ten Other Species Ritu Batra Ch. Charan Singh University ADP-glucose pyrophosphorylase (AGPase) is a heterotetramer with two large subunits (LS) and two small subunits (SS). It plays a critical role in starch biosynthesis. Using the well characterized Sh2 (LS: large subunit) and Bt2 *(SS: small subunit) genes of maize AGPase as references, true orthologs were identified in seven other monocots ( Triticum urartu , *Aegilops tauschii , wheat, rice, barley, sorghum and Brachypodium ) and three dicots ( Arabidopsis , chickpea and potato). The detailed structure, function and evolution of the genes encoding the LS and the SS among monocots and dicots were studied. The results of the present study suggested that: (i) at the DNA level, the genes controlling the SS are more conserved than those controlling the LS; the variation in both is mainly due to intron number, intron length and intron phase distribution; (ii) at protein level, the SS genes are more conserved relative to those for LS; (iii) ¡°QTCL¡± motif (providing thermostability to AGPase ) present in SS showed evolutionary differences in AGPase belonging to wheat 7BS, T. urartu , rice and sorghum, while ¡°LGGG¡± motif in LS was present in all species except T. urartu and chickpea; (iv) expression analysis revealed downregulation of both subunits under conditions of heat and drought stress. The wheat sequences identified in the present study will be utilized to design genome specific primers. These primers will be used to amplify the three copies each of AGPase LS and SS genes located on homoeologous group 1 and 7 chromosomes, respectively in a set of wheat genotypes (20 heat tolerant, 20 heat sensitive and 8 moderately heat tolerant/sensitive) to identify alleles of AGPase LS and SS genes that may impart thermotolerance. 93 NAC Transcription Factor and Laccase Gene: Key Players in Deciphering FHB Resistance Mechanism in Wheat QTL-Fhb1 Nancy Soni McGill University Fusarium head blight (FHB) is one of the most devastating and alarming diseases of wheat around the globe. In addition to causing a loss in wheat crop yield, it also reduces grain quality with mycotoxin contamination. Among 121 quantitative trait loci (QTLs) associated with FHB resistance, QTL-Fhb1 is considered to have major resistance effects. Wheat near isogenic lines (NILs), derived from Sumai 3 and Thatcher cross, were sequenced using Illumina HiSeq technology to capture the genes localized within the fine mapped QTL-Fhb1 region located within a 1.27cM interval. A total of 26 genes were putatively identified, of which, wheat NAC transcription factor ( TaNAC ), which is also known as a master regulator of plant secondary cell wall biosynthesis, was found polymorphic. Also, a laccase gene ( TaLAC ) which catalyzes cell wall lignification was also found polymorphic. Associated semi-comprehensive metabolomics study revealed a few important metabolites related to phenylpropanoid and flavonoid pathway with high fold change in pathogen inoculated samples. When the TaNAC or TaLAC silenced, the fungal biomass and the disease severity increased. However, no significant change in RR metabolites observed. In-silico analysis revealed secondary wall NAC binding element (SNBE) site in the promoter region of TaLAC , which suggest the regulation of laccase gene by NAC transcription factor, thus, unveiling the mechanism of FHB resistance associated with QTL-Fhb1 . 94 Mapping QTL for Fusarium Head Blight Resistance in Canadian Spring Wheat AC Barrie Dinushika Thambugala Agriculture and Agri-Food Canada Breeding for resistance to Fusarium head blight (FHB) in Canadian spring wheat is hampered by a poor understanding of genetics of resistance, particularly native FHB resistance. Here we dissected the genetic basis of FHB resistance in the Canadian spring wheat variety, AC Barrie which possesses an intermediate level of FHB resistance. A recombinant inbred line (RIL) population from the cross Cutler/AC Barrie and a doubled haploid (DH) population of the cross AC Barrie/Reeder were evaluated for FHB resistance in multiple field nurseries. Genotyping was performed with the Illumina Infinium 90K wheat SNP beadchip. IM and ICIM analyses identified numerous QTL controlling FHB resistance in the AC Barrie/Cutler RIL population on chromosomes 1B, 2A, 2B, 2D, 3B, 4D, 5A, and 6B and Barrie contributed most of these QTL. Major QTL for FHB resistance from AC Barrie were mapped on chromosomes 3B and 6B at the expected locations of Fhb1 and Fhb2 . Plant height locus Rht-D1 was identified on 4D, and Ppd-D1 locus was mapped on chromosome 2D. An additional FHB resistance QTL from AC Barrie mapped to the same region as a QTL from Nyubai on 3BS, near the centromere (3BSc). AC Barrie has a unique haplotype at Fhb1 , Fhb2 , and 3BSc relative to known resistance sources such as Sumai-3, Wuhan-1, and Nyubai. The DH population of the cross AC Barrie/Reeder is also being studied and results will be presented at the meeting. This study provides insight into the genetic basis of FHB resistance in Canadian spring wheat variety AC Barrie. 95 A Major Tan Spot Race-Nonspecific Resistance Gene in Tetraploid and Hexaploid Wheat Justin D. Faris USDA-ARS Tan spot, caused by the necrotrophic fungus Pyrenophora tritici-repentis *( Ptr ), is a major foliar disease of both common and durum wheat. Over the past few decades, research has revealed that wheat- Ptr* interactions are based on an inverse gene-for-gene system, where pathogen-secreted necrotrophic effectors (also known as host-selective toxins) induce susceptibility when recognized by dominant sensitivity genes in the host. However, a few race-nonspecific resistance QTLs have also been reported. In 2005, Faris and Friesen reported a race-nonspecific QTL with major effects on chromosome 3B in the Brazilian hard red spring wheat line BR34, and Kariyawasam et al. (2016) reported a QTL in the same region in the soft white spring wheat cultivar ¡®Penawawa¡¯. Here, we evaluated the Langdon durum¨C Triticum dicoccoides accession Israel-A chromosome substitution lines (LDN-DIC) for reaction to all races. With the exception of LDN-DIC 3B being highly resistant, LDN and all the LDN-DIC lines were moderately to highly susceptible. A recombinant inbred chromosome line population derived from LDN x LDN-DIC 3B was used to map the location of a single dominant resistance gene using SSR markers. In addition, chromosome 3B linkage maps in the BR34- and Penawawa-derived mapping populations were reconstructed using the Illumina 90K SNP array and SSRs, and the disease data was reanalyzed. Comparative mapping indicated that BR34, Penawawa, and T. dicoccoides accession Israel-A all likely possess the same chromosome 3B tan spot resistance gene. Current progress on marker development and deployment of the gene will be presented. 96 Development of Diagnostic Markers for the Detection of Functional and Non-Functional Alleles of Yr15 Tzion Fahima Institute of Evolution and the Department of Evolutionary and Environmental Biology, Faculty of Science and Science Education, University of Haifa Stripe rust, caused by the fungus Puccinia striiformis f.s. tritici ( Pst ), is a destructive disease of wheat globally. Depletion of effective resistance to Pst in cultivated wheat has led to search for new resistance genes in the wild relatives of wheat. One of the most promising genes conferring broad-spectrum resistance to stripe rust is Yr15 , derived from wild emmer wheat ( Triticum dicoccoides ) accession G25. Yr15 , mapped on chromosome arm 1BS, has recently been cloned by our consortium and designated as Wheat Tandem Kinase 1 ( WTK1 ). We found wtk1 susceptible alleles in most 274 tested durum, bread, and wild emmer wheat lines. Out of 69 tested durum and bread wheat cultivars and lines, only 33 Yr15 introgression lines contained the functional allele ( Wtk1 ) from G25 and were resistant to Pst . The remaining 36 susceptible lines carried non-functional alleles ( wtk1 ), which included insertions of large transposable elements that resulted in changes in reading frame. Development of reliable molecular markers can facilitate the introgression of Yr15 into new varieties via marker-assisted selection. Diagnostic markers designed based on the polymorphism between the WTK1 *alleles are preferred in order to avoid negative linkage drag. Therefore, we have designed highthroughput co-dominant KASP markers that can differentiate between the functional ( Wtk1 ) and all known non-functional ( wtk1)* alleles, and can be used in breeding programs for development of modern cultivars with high resistance to stripe rust. 97 A Novel Approach of Rapid and Targeted Gene Transfer from Wild Relatives into Crop Plants Kanwardeep Singh Washington State University The focus of the USAID funded innovation lab is to develop heat tolerant wheat varieties while understanding the heat tolerance trait at molecular, genetic, physiological and biochemical level. Since wild relatives of crop plants are known for their biotic and abiotic stress tolerance, one aspect of the project is to develop a fast, accurate, targeted and efficient method of transferring value added genes such as those controlling heat stress tolerance from wild relatives into cultivated wheat. But so far targeted transfer of such genes has been difficult because of Ph1 gene imposed restriction on chromosome pairing and recombination between wheat and wild relative chromosomes. With more than 300 useful genes transferred from the wild relatives into wheat, most have not been used in breeding because the transfers were either complete chromosome/arm or large segments which often carried undesirable traits along with the useful genes. We cloned a candidate for the Ph1 gene, silencing of which resulted in a phenotype characteristic of Ph1 gene mutants. Complementation of a Ph1 gene mutant ( ph1b ) with the candidate gene under its native promoter restored the chromosome pairing function. In this study, we transiently silenced the gene via VIGS to induce chromosome pairing and recombination between chromosome 1BS of wheat with 1RS of rye. Out of 250 plants that were analyzed, 66 plants showed recombination between wheat and rye chromosome arm. With an average of 5, the number of rye segments in each recombinant plant ranged from 1 to 6. The size of the rye segment transferred to wheat background ranged from 2 to 100 Mb. Although recombination hot-spots were obvious, recombination events were distributed on the entire chromosome arm. 98 The Cloned Yr15 Gene (WTK1) Encodes Two Kinase-like Protein Domains, Both Required for Conferring Broad-Spectrum Resistance to Stripe Rust Tzion Fahima Institute of Evolution and the Department of Evolutionary and Environmental Biology, Faculty of Science and Science Education, University of Haifa Stripe rust, caused by Puccinia striiformis f. sp. tritici ( Pst ), is a devastating fungal disease that threatens global wheat production. The wild emmer wheat gene Yr15, *located on chromosome 1BS ,* confers resistance to a broad spectrum of Pst races. Comparative genomics, chromosome walking, BAC libraries (wild emmer and bread wheat), whole genome assemblies, EMS mutagenesis and transgenic approaches enabled us to clone Yr15 and validate its function. The Yr15 protein has a novel structure for R-genes in wheat with two kinase-like domains in tandem, designated here Wheat Tandem Kinase 1 (WTK1). We have shown that both kinase domains are essential for conferring Pst resistance. Macro- and microscopic observations of development and accumulation of fungal biomass suggest that the hypersensitive response plays a central role in the resistance mechanism, limiting the development of fungal feeding structures. Non-functional alleles of Yr15 in T. dicoccoides , T. durum and T. aestivum differ from the functional allele of DIC G25 by indels, creating truncated proteins. Therefore, we designed diagnostic markers that differentiate between functional and non-functional Yr15 alleles. Our results suggest that Yr15* has the potential to improve stripe rust resistance in a wide range of tetraploid and hexaploid wheat germplasm. The absence of the functional Yr15 in tested durum and common wheat varieties highlights the value of DIC germplasm as a reservoir of resistance genes for wheat. 99 Exploring Genetic Diversity in Bread Wheat Using Nested Association Mapping Melissa Garcia School of Agriculture, Food and Wine, University of Adelaide The rate of genetic gain in breeding programs can be increased by extending the amount of variation available for selection using land races and exotic germplasm. However, exotic germplasm carries a range of undesirable traits that limits their suitability for modern agriculture. Backcrossing to locally adapted varieties and pre-selection for traits is therefore required to ensure meaningful data are generated in field trials. Multi-parental schemes such as Nested Association Mapping (NAM) populations improve the use of exotic germplasm as a resource for the discovery of novel traits and QTL/genes. NAM combines the power of linkage analysis and the precision of association mapping. When jointly analysed, NAM populations can provide higher power to detect QTL than any of the constituent biparental families separately. We selected 75 highly diverse hexaploid spring-type wheat accessions from regions of the world that are affected by heat and drought stress. These accessions were crossed with two Australian elite varieties as founder parents, and BC1F6 populations were generated. Twenty individuals from each of 28 NAM sub-populations were genotyped at BC1F4 using a targeted genotype by sequencing assay. These lines are being grown in a completely randomised field trial with two replications. Plots were phenotyped for NDVI, relative maturity and presence of awns. Plant height, yield, thousand grain weight and harvest index will be obtained at harvest. Genome wide association analysis is underway. Selected populations which maximize diversity and power will be phenotyped in multiple field trials across Australia next year. 100 New Genotyping Technology, GRAS-Di, Using Next Generation Sequencer Hiroyuki Enoki Toyota Motor Corporation We developed new genotyping technology, Genotyping by Random Amplicon Sequencing-Direct (GRAS-Di). This technology consisted of sample preparation using high concentration random primer, NGS and data analysis. The sample preparation was very simple. It was not necessary to do primer design, enzyme digestion, fragmentation, size selection, adaptor ligation, and sample normalization. It was only two steps PCR for NGS library without specialized equipment. Rice BIL population was used for evaluation of genotyping by GRAS-Di (96 samples / lane of HiSeq2500). The number of reads for each amplicon was highly reproducibility, r 0.99, with repetition. Over ten thousand SNPs were detected among the BIL population and the SNPs were distributed uniformly rice genome. The ratio of missing value was very low, 1.5%. The reproducibility of SNP was 99.9% with repetition. If there was no reference sequence, genotype data could be detected by GRAS-Di using original algorism based on amplicon analysis. Theoretically, the technology is also applicable to other creatures, including highly polyploidy creatures. We performed the applicability test for several creatures. The result shown that the technology was applicable for over fifty creatures, including wheat, soybean, tomato, potato, sugarcane, cow, pig, chicken, tuna and human. The technology could be provided over 30,000 multiplex sequencing at once. We think that GRAS-Di would be very easy and very powerful technology for genome wide genotyping in many creatures. We signed licensing agreement with Kazusa DNA Research Institute, Eurofins Genomics, and GeneBay for GRAS-Di. 101¡¢Stacking Multiple Stem Rust Resistance Genes at a Single Locus for Durable Resistance in Wheat Ming Luo Commonwealth Scientific and Industrial Research Organisation Stem rust disease caused by the fungal pathogen Puccinia graminis f.sp tritici is a significant threat to global wheat production. The most cost effective way to control this disease is by genetic resistance. However major gene resistance is often readily overcome by pathogen evolution when resistance genes are deployed singularly. Combining major resistance genes is believed to extend their durability as multiple mutations are required in the pathogen to overcome this polygenic resistance. Major resistance genes can be combined by conventional breeding however this is a labour intensive process and resistance gene combinations are difficult to maintain in segregating families. In this study, we have used cloned stem rust resistance genes Sr22, Sr35, Sr45, Sr46 and Sr50 and the multi-pathogen adult plant rust resistance gene Sr55/Lr67/Yr46/Pm46/Ltn3 to produce binary vectors containing combinations of these genes. Constructs containing either 3, 4, 5 or 6 rust resistance genes were produced and transformed into bread wheat by Agrobacterium transformation. Molecular/genetic analysis demonstrated that some transgenic wheat lines contain all the resistance genes present in the binary vector used for transformation (ie. up to six) and these genes are inherited as a single locus in progeny plants. Transgenic plants are resistant to wheat stem rust disease with resistance co-segregating with the multigene transgenic locus. 102 MAGIC Yield: Using an Eight Founder Population for the Genetic Dissection of Yield and Yield Components in UK Winter Wheat Benedetta Saccomanno NIAB Multiparent advanced generation inter-cross (MAGIC) populations are a powerful mapping resource in crop genetics for the dissection of complex traits, previously hindered by relatively low genetic recombination and allelic diversity of traditional bi-parental populations. Wheat (*Triticum aestivum *L.) is a major arable crop of global importance, covering 1.6 million hectares in the UK alone (AHDB survey, 2017). Breeders and farmers must continue to improve wheat grain yield and yield stability to help meet demand from an increasing population, and to ensure food security in the face of the effects of climate change. The Magic Yield project helps address these problems by using an eight-founder MAGIC population (Mackay *et al. *2014), consisting of 1,000 lines created by inter-crossing eight elite UK winter wheat varieties over three generations, to study the genetic basis of yield and yield components. With the participation of five wheat breeding companies, we conducted field trials at five UK sites for two consecutive years, phenotyping yield and a suite of pre- and post-harvest yield components. Phenotypic data coupled with Illumina iSelect 90k SNP genotype data (Gardner *et al. *2016) allowed the detection of a total of 76 quantitative trait loci (QTL) across all year, trait and site combinations. Flanking markers for selected QTL were converted to Kompetitive Allele Specific PCR (KASP) markers to aid fine-mapping and consequent characterization of genes controlling yield. Ultimately, the resources generated will aid the selection of wheat lines with improved performance within breeding programs, for the downstream benefit to growers and end-users. 103 ¡°Am Hidden, Feeling Hot! Do Something!¡± ¨C Heat Stress on Wheat Roots Sundaravelpandian Kalaipandian CSIRO (Agriculture and Food) High temperature is a major threat to plant productivity due to climate change. Often the hidden-half of the plant is more sensitive to heat stress than the above ground parts. Heat stress affects the roots by limiting water and nutrient uptake, which in turn affect shoot water demand and photosynthesis. However, the molecular mechanism of root responses to heat stress is poorly understood. Recently, we have studied the role of TaHsfC2a gene in wheat. Overexpression of TaHsfC2a-B in transgenic wheat plants increased survival rate to about 90% while only 15% of wild-type plants survived after heat treatment at 43¡ãC. Interestingly, we observed that the shoots were drying but the roots were intact after heat treatment in the transgenic plants, which contributed to recovery of the shoots, however all parts of the wild-type plants died after heat treatment. Reactive oxygen species (ROS) was shown to have a major role in abiotic stresses including heat stress. We found that the transgenic plant roots accumulate very low hydrogen peroxide (H2O2) when compared with wild-type plant roots. To understand the molecular mechanisms underlying the heat stress and ROS in the roots, the transcriptome of TaHsfC2a transgenic and wild-type roots are being studied by using RNA-sequencing. In addition, we found that TaHsfC2a was markedly up-regulated under drought and abscisic acid treatment, and we have also identified the potential targets of this gene (TaHSP70d and TaGalSyn) and confirmed through transactivation studies. Our study will identify candidate genes to develop heat resistant varieties in wheat. 104 Leveraging the Root Angle QTLome to Enhance Climate Resilience in Wheat Marco Maccaferri DipSA, Department of Agricultural Science, University of Bologna Optimisation of root system architecture (RSA) is an important objective for the sustainability of durum wheat grown under drought-stressed conditions. In the present study, linkage and association mapping (AM) for RSA evaluated at the seedling stage evidenced 20 clusters of quantitative trait loci (QTLs) for root length and number as well as 30 QTLs for root growth angle (RGA). The most divergent RGA phenotypes observed by seminal root screening were validated by root phenotyping of field-grown adult plants. QTL analysis of RSA and grain yield data indicates RGA as a valuable target to enhance grain yield and yield stability across different soil moisture regimes (Maccaferri et al. 2016). Based on their relative additive effects, allelic distribution in the AM panel and co-location with QTLs for yield, eight RGA QTLs have been prioritised in terms of breeding interest and value. These QTLs were investigated for gene content based on the chromosomal pseudomolecules of Chinese Spring T. aestivum and the TriAnnot v4.3 gene prediction and annotation pipeline and the Zavitan T. dicoccoides genome assembly (Avni et al. 2017). The chromosome regions contained 25 to 242 predicted genes (123 on average). In six RGA QTLs, from one to four gene annotations were involved in auxin pathways. The comparison between the T . aestivum and T . dicoccoides gene content indicates the high quality of the T . *dicoccoides *assembly and its usefulness to identify candidates to explore the polymorphism and the structural variation of drought-related genes present in the A and B wheat genomes. 105 A TRIM Insertion led to a Gene Resurrection Event that causes Male Sterility in Wheat Jizeng Jia Chinese Academy of Agricultural Sciences The male sterile ms2 mutant has been known for 40 years1 and has become extremely important in the commercial production of wheat. However, the gene responsible for this phenotype has remained unknown. We here report the map-based-cloning of the Ms2 gene. The Ms2 *locus is remarkable in several ways that have implications in basic biology. Beyond having no functional annotation and clearly having undergone pseudogenization, we found that the *Ms2 allele in the ms2 mutant acquired a terminal-repeat retrotransposon in miniature (TRIM) element in its promoter. This TRIM element is responsible for the anther-specific Ms2 *activation that confers male sterility. The identification of *Ms2 not only unravels the genetic basis of a historically-important breeding gene, but also illustrates pseudogenization at the population level and shows that resurrection of an unfixed pseudogene in the population can contribute to genetic novelty and phenotypic plasticity. 106 Fine Mapping of D-Genome Yield QTLs in Hexaploid Wheat Increasing crop yields is an ever more crucial endeavor as the global human population continues its near exponential growth. One strategy to meeting future food demands is identifying and incorporating yield-enhancing genes into elite crop lines. Wheat ( Triticum aestivum , 2n=6x=42 AABBDD), which supplies a fifth of humans¡¯ calories worldwide, can reap the benefits of the genetic variation from the D-genome progenitor, Aegilops tauschii *(2n=2x=14 DD), which may supply yield-boosting alleles. A nested association mapping population of the D-genome (DNAM) was created from direct hybridization of the hard white winter variety, KS05HW14, and seven *Ae. tauschii *accessions and backcrossing the F1 progeny twice to KS05HW14 to regain euploidy. BC2F4 derived lines from the DNAM population were phenotyped for grain yield in Manhattan, KS; Hays, KS; and Richville, MI in 2015 and 2016, and Marianna, AR; Champaign, IL; Brookings, SD; and Pullman, WA in 2016. A genome-wide association analysis identified QTL conferring higher grain yield. Large-effect QTL identified on chromosomes 2DS and 6DL were contributed by the recurrent parent. QTL on chromosomes 2DL and 7DS were derived from the Ae . tauschii *accessions, TA1615 and TA1718. KASP markers designed for significant SNPs on the QTL identified the following segregating regions: 25.4Mb to 29.5Mb on 2DS, 430.4Mb to 575.9Mb on 2DL, 463.5Mb to 473.3Mb on 6DL, and 517.0Kb to 12.5Mb on 7DS. These data were used to create heterozygous inbred families that will be used in QTL fine-mapping and identifying yield-enhancing genes. 107 Integrating Genomic Selection in Breeding for Resistance to Rusts and Foliar Diseases in Wheat Fnu Philomin Juliana CIMMYT Genomic selection is a promising technology that could increase genetic gains for quantitative disease resistance and help eliminate susceptible lines, before costly disease screening. To evaluate the potential integration of GS as a breeding tool, we tested genomic prediction for several diseases in CIMMYT¡¯s 1st year yield trials (YT) and 2nd year elite yield trials (EYT), from 2015-2016 and 2016-2017. While the YTs comprised about 9,000 lines, the EYTs were a subset comprising 1,092 lines. All lines were genotyped using genotyping-by-sequencing and the YTs were phenotyped for response to Ug99 stem rust (SR) race in Njoro, Kenya. The EYTs were phenotyped for SR in Njoro; yellow rust (YR) in Ludhiana, India; Fusarium head blight (FHB) in El Batan, Mexico; Septoria tritici blotch (STB) in Toluca, Mexico and spot blotch (SB) in Agua Fria, Mexico. The maximum within-nursery and across-nursery prediction accuracies were 0.74 and 0.60 for SR, 0.59 and 0.50 for YR, 0.42 and 0.21 for FHB, 0.50 and 0.18 for STB and 0.56 and 0.37 for SB, respectively. We also observed that at different selection intensities, GS could discard upto a maximum of 92% of the susceptible lines discarded by PS and select upto 61% of the resistant lines selected by PS, within nurseries. However, when selections were made across-nurseries, GS could discard 73.8-90.2% of the susceptible lines and select 24.5-61.6% of the resistant lines. While these results are promising, further efforts to improve prediction accuracies are crucial for the successful integration of GS in wheat disease resistance breeding. 108 Spatio-Temporal Asymmetry of the Meiotic Pathway in Hexaploid Bread Wheat Kim Osman University of Birmingham During meiosis homologous recombination (HR) generates genetic variation and provides the physical links (crossovers - COs) necessary for accurate segregation of chromosomes. In most eukaryotes the distribution of COs along chromosomes is non-random due to the influence of multiple levels of control which ensure each chromosome pair receives at least one CO and which discourage additional COs forming in adjacent chromosomal regions. Further complexity is evident in the tendency of chiasmata (the cytological manifestation of COs) to form in favourable regions of the chromosome. In some species this has led to the restriction of COs/chiasmata to particular chromosomal locations. In hexaploid wheat and other cereals the predominantly distal location of COs creates a problem of linkage-drag in the recombinationally ¡®cold¡¯ centromere/proximal and interstitial regions where agronomically important traits cannot be readily separated from undesirable ones. As partners in a collaborative project involving five UK research groups and two wheat-breeding companies, our aim is to understand the factors influencing CO formation in hexaploid wheat in order to manipulate the process and unlock genetic diversity for crop improvement. Building on research in Arabidopsis meiosis, we are employing molecular cytogenetic techniques to perform a detailed analysis of key stages in the recombination pathway during the progression of prophase I. Here we present data showing that early recombination events in Cadenza are spatio-temporally asynchronous, initiating in the distal chromosomal regions and later spreading throughout the chromatin. This pattern reflects the distribution of euchromatin within the nucleus as revealed by immunolocalisation of various histone modifications. 109 Accelerated Cloning and Characterization of the Wheat Adult Plant Resistance Gene Lr68 Sreya Ghosh John Innes Centre Adult Plant Resistance (APR) genes are broad-spectrum, partial resistance genes that can contribute to sustainable control of wheat rust diseases. However, a lack of precise molecular markers complicates their characterization and practical use in breeding programmes. At the same time, the long generation time of wheat has become a limiting factor for breeders to respond quickly to an outbreak. As the APRs cloned so far do not belong to any common gene family, it is not possible to use general features of these identified APRs to conduct biased searches for novel APRs. This project aims to rapidly clone the recently discovered APR gene Lr68 (Leaf Rust 68) using an unbiased gene isolation technique called MutChromSeq, which combines chromosome flow-sorting and mutational genomics, and is independent of fine mapping. It also aims to combine marker-assisted selection with accelerated generation advancement (¡°speed breeding¡±) for rapid germplasm structuring and field performance evaluation. Cloning APRs allows breeders to trace genes cheaply and quickly using gene-specific markers, enabling them to build effective and durable resistance gene pyramids. It also allows us to elucidate any common mechanism of action they have, helping researchers and breeders understand better the basis of their durable resistance. 110 Functional Study of TabZIP15 in Regulation of Wheat Abiotic Stress Tolerances Lichao Zhang Institute of Crop Sciences bZIP transcription factors are one of the most important transcription factor families which play important roles in response to biotic and abiotic stresses. However, few studies of the functions of bZIP transcription factors in regulation of abiotic stresses tolerance have been done in wheat. TabZIP15 encoded a bZIP transcription factor of C subfamily, which was mapped on the wheat chromosome 7DL. TabZIP15 was induced by salt, PEG, cold stresses and exogenous ABA treatment. The protein encoded by TabZIP15 was localized in the nucleus through transient expressed in tobacco epidermal cells, and possessed transcription activation activity in yeast with an N-terminal transcriptional activation domain. Overexpression of TabZIP15 improved the drought and freeze tolerance of transgenic Arabidopsis plants. Yeast one-hybrid experiments showed that TabZIP15 transcription factor can bind to ABRE cis-acting elements. Yeast library screening experiments and luciferase complementation assay (LCI) showed that TabZIP15 can interact with enolase TaENO-b, indicating that TabZIP15 may regulate abiotic stress tolerance through glycolysis and gluconeogenesis pathway. 111 Gene Regulatory Networks Reveal Novel Genes Controlling Senescence in Wheat Philippa Borrill John Innes Centre Monocarpic senescence in crops is essential to enable nutrient remobilisation from photosynthetic tissues to the grain. This process must be tightly regulated to prevent premature senescence adversely affecting yields, however few genes controlling senescence have been identified in wheat. We are using a combination of approaches to identify novel regulatory genes affecting the early processes controlling senescence. We have generated a high-resolution RNA-Seq time-course of ten time-points from anthesis until the first visible signs of flag leaf senescence. To understand the key genes driving transcriptional changes, we used a combination of gene regulatory network analyses to identify modules of co-expressed genes and hub genes regulating the transcriptional processes across this time-course. From these networks, we selected ten transcription factors as candidate genes for further characterisation. We have generated double knock-out mutants of these candidate genes using the sequenced tetraploid TILLING population. Preliminary results show that two out of five candidate genes tested to date have roles in monocarpic senescence. Further studies are in progress to characterise the effects of these novel senescence regulators on nutrient remobilisation. The availability of new genomic resources, such as high-quality genome sequences and TILLING knock-out mutants, has enabled the study of genes regulating senescence at an unprecedented resolution. These genes may represent new breeding targets to adapt senescence to the environment and to modulate grain nutrient content which is influenced by the rate of senescence. 112 Identification of a Candidate Gene for* Sr9h*-Mediated Wheat Stem Rust Resistance by MutRenSeq Matthew N. Rouse USDA-ARS Cereal Disease Lab The wheat stem rust resistance gene Sr9h confers major-effect resistance to stem rust pathogen race TTKSK (Ug99) and maps to chromosome arm 2BL in the cultivar ¡®Gabo 56¡¯. Sr9h is one of seven phenotypic Sr9 *alleles and the only *Sr9 *allele effective to TTKSK. We report here the identification of a candidate *Sr9h gene, by the rapid MutRenSeq approach. A total of 1603 EMS-mutagenized M2 families were screened with race TTKSK. We identified eight TTKSK-susceptible mutants that shared greater than 99% genome identity with Gabo 56 based on the 90K SNP chip. Nonsense or missense mutations were identified in the same NB-LRR candidate gene for seven of the eight mutants. A KASP marker derived from the candidate NB-LRR gene co-segregated with TTKSK resistance in two populations but appears to be a part of an NB-LRR gene family with multiple copies and pseudo genes based on the syntenic 2BL region of Chinese Spring and wild emmer wheat. Therefore we are currently sequencing chromosome 2B from Gabo56 and CM664, a second line with Sr9h , to fully characterize the Sr9h locus. Cloning the Sr9h gene and understanding the variation and unique phenotypic diversity underlying this complex locus will greatly enhance our understanding of the molecular mechanisms of resistance and race specificity and could provide extensive knowledge for long-term projects including the development of new resistance alleles and for the deployment of durable resistance. 113 Association Mapping of Stem Rust in Minnesota Spring Wheat Lines Cyrus Kimani Ndung'u University of Minnesota Stem rust caused by Puccinia graminis f. sp. tritici, especially the Ug99 (TTKSK) race, is a serious threat to wheat production around the world and can cause up to 100% yield loss in susceptible cultivars. However, there are some Minnesota cultivars that have shown resistance to stem rust, including that caused by Ug99. It is therefore important to identify the QTLs for stem rust resistance in this germplasm. Association mapping is one of the most common method used to detect QTLs and genetically characterize germplasm. Our objective was to identify QTLs for resistance to the Ug99 family of stem rust pathogen races in a collection of 384 spring wheat breeding lines from the University of Minnesota. The germplasm was screened for stem rust both in the field and as seedlings in a greenhouse. Field screening in Kenya and Ethiopia (2016 and 2017) facilitated data collection on the germplasm response to virulent races of the Ug99 race group. The seedling screening was done at the USDA-ARS CDL BSL3 greenhouse using TTKSK and TRTTF races. The germplasm was genotyped using the wheat 90K SNP Chip. The data was then analyzed using the GAPIT package in R using the Q+K model. Significant QTLs were detected in both field seasons in Kenya but none were detected in Ethiopia. Additionally, significant QTLs for resistance to TTKSK and TRTTF races were detected in the greenhouse. Resistance to TTKSK in the greenhouse seemed to be temperature sensitive, with different QTLs being detected at different temperatures. 114 Resource Optimization with Multi-Trait Genomic Prediction for Bread Wheat Quality Bettina Lado Universidad de la Republica Multi-trait genomic prediction models are a useful strategy to predict traits that otherwise are challenging due to labor intensity, difficulty, and cost. This is particularly important in the context of resource allocation in plant breeding programs. However, is not well known the amount of phenotyping that could be replaced by including phenotypic information on correlated traits. The objective of this work was to compare the predictive ability of multi-trait models, 1) by using different training population sizes for different quality traits, and 2) by testing different proportions of lines with phenotypic information for correlated traits. A group of 495 wheat lines were genotyped using genotyping by sequencing and phenotyped for eight bread quality traits. Cross-validation was used to evaluate the predictive ability of different multi-trait models using 10 to 80% of lines as training population and 50, 75 or 100% information on correlated traits. The results showed that predictive ability for all traits did not change when using more than 30% of lines as training population and 100% of the information on correlated traits. Moreover, the predictive ability of multi-trait models decreased when information on correlated traits was reduced to 50%. Overall, our results indicate that inclusion of information on correlated traits in training and testing wheat lines is a useful approach to replace phenotyping of expensive traits, allowing to reduce costs and better allocate resources in breeding programs. 115 Evidence for the Lr46 Leaf Rust Resistance Gene in the Wheat Cultivar Carberry Ron E. Knox Agriculture and Agri-Food Canada, SCRDC Stacking and deployment of pleiotropic genes for resistance to multiple fungal diseases in wheat variety development is expected to increase the durability of resistance. To achieve this gene stacking objective through molecular breeding, an understanding of which genes currently exist in adapted germplasm is necessary. The cultivar Carberry is a popular hard red spring wheat variety in Canada with good rust resistance. Pedigree, phenotype, and DNA marker evidence suggested Carberry possesses the leaf rust resistance gene Lr46 . Lr46 is a slow rusting adult plant resistance gene located on chromosome 1B that provides resistance against leaf rust and other diseases such as stripe rust, stem rust, and powdery mildew. We undertook an investigation to test the hypothesis that Carberry possesses Lr46 . A doubled haploid population comprising 297 lines was developed from the F1 of a cross of Carberry with the universally leaf rust susceptible cultivar Thatcher. The population was evaluated for leaf rust reaction in four field nursery environments: near Swift Current SK from 2014 to 2016, and Morden MB in 2016. The population was also assessed for stem rust response in 2014 and 2016 near Swift Current. The population was genotyped using the 90K Infinium iSelect assay and following linkage map construction with JoinMap 4.1, 5457 markers were used for quantitative trait locus (QTL) analysis using MapQTL 6. Two QTL for leaf rust resistance were identified from Carberry on chromosome 1B, one of which was coincident with a stem rust resistance QTL that mapped to the location of Lr46 . 116 Starp: A User-Friendly and Broadly Applicable Technique for SNP Genotyping in Wheat and Other Crops Yunming Long North Dakota State University Single nucleotide polymorphisms (SNPs) are widely distributed in the genome of every organism. Recent advances in DNA sequencing technology have accelerated the discovery of variations in DNA sequences. Multiplex chip-based technology for genome-scale SNP genotyping has made great progress in the past two decades. However, PCR-based genotyping of individual SNPs remains a challenge task. Here, we report a novel SNP genotyping method designated semi-thermal asymmetric reverse PCR (STARP), which combines all of the advantages in accuracy, throughput, simplicity, and operational costs as well as compatibility with multiple platforms. STARP assays employ two universal priming element-adjustable primers (PEA-primers) and one group of three locus-specific primers: two asymmetrically modified allele-specific primers (AMAS-primers) and their common reverse primer. The two AMAS-primers are used to specifically amplify target alleles and generate PEA-primer binding sites. The two PEA-primers are common for all genotyping assays to stringently target AMAS-primer amplicons with similar PCR efficiencies and for flexible detection using either gel-free fluorescence signals or gel-based size separation. STARP is a broadly applicable and more user-friendly alternative to KASP. We developed numerous STARP markers associated with important agronomic genes for low cadmium accumulation and resistance to Hessian fly, Fusarium head blight, and stem rust in wheat. These STARP markers have being employed in wheat breeding. In addition, STARP technique has been successfully extended to analyze the differential expression of the homologous genes and specifically amplify target DNA fragments in highly repetitive regions. STARP will facilitate genomic research in wheat and other species with large and complex genomes. 117 Molecular Genetic Characterisation of Triple Rust Resistance in Aegilops tauschii Naveenkumar Athiyannan Centre for Plant Science, Queensland Alliance for Agriculture and Food Innovation, University of QueenslandCommonwealth Scientific and Industrial Research Organisation Bread wheat (Triticum aestivum) is the third most cultivated crop worldwide, and a major caloric source for the human population. Global wheat production is under constant threat due to the constant evolution of highly virulent fungal pathogens such as Puccinia sp that cause rust disease. Losses due to rust disease are routinely minimised through the deployment of host plant-mediated genetic resistance in commercial cultivars. However, pathogens evolve virulence to overcome this resistance. Therefore continuous supply of new sources of resistance is essential for sustainable rust management. Resistance from the wild relatives of hexaploid wheat is a valuable resource as they broaden the gene pool of available resistance genes. In this study, CPI110672, an accession of the D genome progenitor Aegilops tauschii, *was chosen for in-depth analysis as it resists the three wheat rust diseases namely leaf, stem and stripe rust. To characterise this triple rust resistance, we conducted genetic analysis using a mapping population derived from the cross between CPI110672 and a susceptible accession CPI110717. Through rust infection screening and 90K SNP marker analysis, the chromosome position and closely linked markers were identified. Physical maps for the chromosome region carrying these rust resistance genes were generated using the new reference genome sequences of hexaploid wheat Chinese Spring IWGSC Ref Seq v1.01 and the diploid Ae. tauschii accession, AL8/782,3. Comparative genomics of these reference sequences together with contigs assembled from the sequenced genome of CPI110672 facilitated the identification of candidate genes. Functional analysis will be conducted through transformation into the rust-susceptible wheat cultivar fielder.
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61¡¢Introgression of a Newly Discovered Xanthophyll Acyl Transferase into Durum Wheat Diane Mather The University of Adelaide The carotenoid lutein is the main yellow pigment in the grain of both bread wheat (AABBDD) and durum wheat (AABB). Lutein confers health benefits and is important in determining the colour of wheat-based food products. During postharvest storage of bread wheat grain, lutein can be converted into lutein esters, which are more stable than free lutein. This esterification does not occur in durum wheat. Recently, we mapped the esterification trait to a locus on chromosome 7D. We have now confirmed that a gene at that locus encodes a xanthophyll acyl transferase (XAT). This is the first such enzyme to be functionally confirmed in any plant species. Given the importance of stable yellow pigment for pasta and other durum-based products, we wanted to transfer the Xat1 gene into durum wheat. We crossed a 7D(7A) disomic chromosome substitution line of Langdon durum with DBA-Aurora, an Australian durum cultivar. This provided opportunities for 7D-7A pairing and recombination in the F1 generation. Using marker assays designed for 7D-7A SNPs, we screened F2 progeny for evidence of spontaneous 7D-7A recombination. Plants with recombinant chromosomes were discovered, including one with only a short distal 7D segment that includes the *Xat1 *gene. Homozygous recombinant progeny were developed and are being backcrossed to DBA-Aurora to develop a high-performing durum with improved lutein stability. This work demonstrates that with the use of appropriate crosses and markers, plants with intergenomic recombinations can be discovered for use in breeding. 62¡¢Evaluation of Winter-Survival of Winter Wheat By Drone-Generated Multi-Spectral Imagery Identified Two Quantitative Trait Loci on Chromosome 5A Yi Chen University of Guelph The harsh and unpredictable winters in the high latitude regions of the northern hemisphere often leads to high risk of winterkill for winter wheat ( Triticum aestivum *L.). One of the key traits that influence winter-survival is the timing of the transition from vegetative to reproductive stage, as wheat loses cold tolerance after the transition. The goal of this research is to investigate the genetic basis of winter-survival in Canadian winter wheat and to identify the combination of key candidate gene alleles that is optimal for high-latitude winter wheat. The Canadian Winter Wheat Diversity Panel (CWWDP), which includes 450 winter wheat genotypes with various levels of winter-hardiness, was phenotyped under field conditions in Ontario, Canada. Normalized difference vegetation index (NDVI) was extracted from multi-spectral imagery captured by unmanned aerial vehicle (UAV) as a measure of winter-survival. The diversity panel was genotyped with the 90K Illumina SNP chip and additionally for allelic variation at the candidate gene loci that have demonstrated significant effect on flowering time and cold tolerance. This included the major vernalization gene loci on group 5 chromosomes ( VRN-A1, VRN-B1, and *Vrn-D1 ), C-Repeat Binding Factor ( CBF ) -12 *and *-15 on chromosome 5A and photoperiod response loci on chromosome 5D ( PPD-D1 ) and 5A ( PPD-A1 ). Genome-wide association studies identified two major quantitative trait loci on chromosome 5A, which correspond to the frost resistance loci Fr-A1 *and *Fr-A2 . This result is consistent with previous reports on the role of chromosome 5A in winter-survival and showcased the potential of UAV-based phenotyping in genetics research. 63¡¢Completion of the ¡®Jagger¡¯ Winter Wheat Genome Leads to Identification of Aegilops Ventricosa 2NS Translocation and Impact in Kansas Wheat Breeding Liangliang Gao Kansas State University Since its release 23 years ago, the winter wheat cultivar Jagger has had a huge impact on wheat production in the US and around the globe and became a parental germplasm in many of the current cultivars of the central U.S. Importantly, Jagger also possesses the Aegilops ventricosa 2NS translocation fragment, which is associated with disease resistance against multiple wheat pathogens including the devastating wheat blast fungus. Here we present the first de novo assembly and anchoring of the Jagger genome based on the NRGene DeNovoMAGIC 3.0 pipeline and chromosome conformation capture technology (Hi-C). We were able to successfully anchor ~3000 scaffolds with a cumulative length of 14.2 Gb and an N50 of 10.5 Mb to build 21 draft pseudomolecules. Overall, these draft pseudomolecules showed high collinearity with the reference Chinese Spring genome (IWGSC RefSeq v1). The Jagger genome will be a powerful tool in the analysis of the wheat pan genome and the dissection of important agronomic traits. To illustrate its utility, we delineated the Aegilops**ventricosa 2NS translocation fragment in Jagger, consisting of a ~30 Mb fragment identified through alignment of Jagger chromosome 2A to ¡®Chinese Spring¡¯ chromosome 2A. We also developed a pipeline for identification of 2NS translocations in wheat breeding lines using genotyping by sequencing (GBS) data and reference genomes. Our results suggest that the 2NS translocation segment is widely present in KS breeding lines, and is potentially providing a yield benefit over the span of 11 years of the breeding program. 64¡¢A Megabase-Scale Comparative Analysis of Wheat Chromosome 2D from Two Wheat Cultivars Unravels Molecular Mechanisms of Genome Evolution Simon Krattinger King Abdullah University of Science and Technology (KAUST) Recent improvements in DNA sequencing technologies and assembly algorithms have paved the way to generated high-quality genome assemblies of the large and complex genomes of wheat and its wild relatives. These genome assemblies form the basis to study the evolutionary dynamics of wheat genomes on a megabase-size scale. Here, we provide a comparative analysis of two high-quality assemblies of the 729-megabase-sized chromosomes 2D of wheat landrace Chinese Spring (IWGSC RefSeq v1.0) and the modern Swiss spring wheat line ¡®CH Campala Lr22a ¡¯. In general, there was a high degree of sequence conservation along the chromosome. Analysis of large insertions and deletions (InDels) revealed four large InDels of a total size of 2.2 Mb. The molecular signatures at their breakpoints enabled to identify unequal crossing over and double-strand break repair as the molecular causes of these InDels. In addition, the gene content of the two chromosomes were compared. This comparison revealed that 99% of the genes were present and collinear in both the cultivars. The fraction of unique single-copy genes observed was 0.44% for Chinese Spring and 0.71% for ¡®CH Campala Lr22a¡¯ . Hence, our analysis provides evidence that the number of genotype-specific genes is considerably smaller than previously estimated. 65 Identification of Quantitative Trait Loci (QTL) Associated with Fusarium Head Blight and Septoria Resistance in a Maxine/ Redeemer Winter Wheat Population Ljiljana Tamburic-Ilincic University of Guelph Fusarium head blight (FHB) and Septoria tritici blotch (STB) are important wheat diseases in North America. The objective of this study was to map loci associated with FHB traits, STB and plant height in a Maxine/Redeemer winter wheat population. Evaluation of FHB and STB resistance was performed using spray inoculation of a mixture of F. graminearum *and Septoria tritici blotch *isolates, respectively and under natural infections in replicated trials across three environments in Ontario, Canada. FHB disease incidence and severity were recorded and FHB index was calculated. For both diseases, the population showed a continuous distribution pattern and transgressive segregation of progeny. DArT markers were used to generate a genetic map and quantitative trait loci (QTL) analysis were performed by evaluating 105 doubled-haploid lines. FHB resistance QTL were identified on chromosome 2A, 4A, 6A, 3B, 4B, 2D and 3D, while QTL for STB were identified on chromosome 4B and 7A. Plant height QTL were identified on chromosome 4A, 6A, 4B and 2D. QTL identified in this study will be used in winter wheat breeding programs using marker assisted selection (MAS). 66 Activation of Seminal Root Primordia during Wheat Domestication Reveals Underlying Mechanisms of Plant Resilience Guy Golan Hebrew University of Jerusalem Seminal roots constitute the early root system of major crops of the Poaceae family. Although variation in seminal root number was described in several crops, mechanisms through which seminal root number (SRN) are controlled and in turn contribute to environmental adaptation are poorly understood. Here, we show that SRN increased upon wheat domestication due to the activation of root primordia which are suppressed in wild wheat, a trait controlled by factors expressed in the germinating embryo. We used variation in seminal root number (SRN) between wild and domesticated wheat to investigate its bearing on water uptake and seedling resilience. The persistence of wild roots at their primordial state promoted seedling recovery from episodic water-stress through re-activation of root primordia following rehydration. In spite of their lower root number, wild seedlings transpired more than domesticated seedlings. Additionally, transpiration rate was associated with higher shoot:root ratio in wild wheat, indicating contrasting strategies of resource allocation between wild and domesticated wheat. Our findings suggest that under well-watered conditions, lower root number enables direction of resources to aboveground without limiting water uptake. Furthermore, the maintenance of roots at their primordial state and their re-activation following rehydration maybe regarded as seedling protective mechanism against episodic water-stress. The results underscore SRN as an adaptive trait that was reshaped upon domestication. Identification of factors associated with the plasticity of the SRN phenotype expands our understanding on the evolutionary dynamics of wheat and may serve to optimize root number in future breeding efforts. 67 IWGSC Phase II: What's Next for the IWGSC Kellye Eversole IWGSC In 2017, the International Wheat Genome Sequencing Consortium (IWGSC) achieved the first high quality, annotated reference sequence of bread wheat, IWGSC RefSeq v1.0. In phase II, the consortium will continue to deliver valuable tools and resources for wheat scientists and breeders through the functional annotation of the reference sequence and the generation of a pan genome that represents the breadth of diversity for bread wheat. An overview of the future activities of the IWGSC will be presented. 68 Genome-Wide Association Mapping for Seedling Heat Tolerance in Winter Wheat Frank Maulana Noble Research Institute, LLC Heat stress at seedling stage is one of the most common issues of winter wheat in a dual-purpose management system in the southern Plains. However, the genetic mechanism underlying seedling heat tolerance in wheat is not well studied. To dissect the genetic basis of this trait, we conducted a genome-wide association mapping study (GWAS) using 200 hard red winter wheat lines from the Triticeae Coordinated Agricultural Project (TCAP), genotyped using the wheat i select 90K SNP genotyping array. The plants were initially planted under optimal temperature in growth chambers. At three leaf stage, plants were subjected to two temperature regimes, high temperature (40/35oC day/night) as heat stress treatment, and optimal growth temperature (25/20oC day/night) as control for 14 days. Data were collected on leaf chlorophyll content (LCC), shoot length (SL), number of leaves (LN), and percent of seedling recovery (PSR) under optimal growth temperature following the heat stress treatment. GWAS was performed using mixed linear model (MLM). Significant marker-trait associations were found on all the traits under both optimal and heat-stressed growth conditions. In addition, heat stress responding marker-trait associations were also detected. Once validated, these SNPs will be used in marker-assisted selection of seedling heat tolerance in wheat. 69 Indo-UK Research Collaboration to Improve Nitrogen Use Efficiency in Wheat Soma Marla ICAR.NBPGR Nitrogen is the major agronomic input that determines the performance and productivity of wheat crop in both India and UK. With nitrogen being the major production cost for farmers, it has a huge environmental footprint, in terms of pollution of ground waters and generation of greenhouse gases. To minimize the use of applied Nitrogen fertilizers a cross-Institute pre-breeding programme (INEW virtual centre) under India-UK partnership is being executed to identify sources of traits and developing markers for use in academic research and transfer to commercial breeding programmes and responsibility for delivering improved wheat varieties to Indian farmers. The Virtual Joint Centre is bringing together major wheat researchers from ICAR.IARI in New Delhi, Indian Institute of Wheat and Barley Research, Karnal, Bourlag Institute for South Asia, Punjab, National Bureau of Plant Genetic resources, New Delhi and National Research Centre for Plant Biotechnology, New Delhi,Punjab Agricultural University. UK partner institutions are Rothamsted research, University of Nottingham, University of Bristol, John Inns Centre and National Institute of Agricultural Botany. The core of the project is precision field trials being conducted in India and UK using germplasm from both countries, in which the fate of nitrogen in the plant will be followed from root uptake to seed maturity, at limiting and adequate levels of fertilisation. Its impact on grain yield and grain quality in these lines will be studied in detail using the platform technologies (Fig.1) providing information on the relationship between performance and phenology. Major mandate includes integrated study of the genetic, biochemical and molecular basis for improved N use efficiency from mechanisms of nitrogen uptake to partitioning in the grain and effects on processing quality. Candidate genes that control key processes limiting N use efficiency will be identified. The study will be supported by genotyping of germplasm and identification of key genes, enzymes involved, their variation employing high density SNP arrays and transcriptome analysis. Molecular markers developed for key traits will be transferred to wheat breeders in UK and India. 70 Genome-Wide Analysis of MIKC-Type MADS-Box Genes in Wheat: A Primer for Crop Improvement Alice Kennedy University College Dublin MIKC-type MADS-box genes encode transcription factors with prominent roles in plant development. They constitute key regulators of flowering time, floral organ identity, seed and fruit development. MADS-box genes have also been the target of domestication processes in numerous plant species. Understanding the function and evolution of MADS-box genes in crops is therefore of considerable interest for future crop improvement programs. Here, we present a genome-wide analysis of the MIKC-type MADS-box gene family from wheat. We identified more than 200 MIKC-type MADS-box genes, considerably more than in other monocots, partly due to the hexaploid nature of wheat. MIKC* genes as well as representatives from 15 distinct MIKCc subfamilies were identified. Our preliminary analyses indicate that some MADS-box gene subfamilies (e.g. AGL17-like genes) expanded considerably in wheat whereas others (e.g. AGL6-like genes) have relatively few members as compared to other moncots. Using in silico analyses we deduced a relatively strong conservation of expression pattern within each subfamily, indicating functional similarity among closely related homologs. We will use the identified MADS-box genes to screen for sequence variation among different wheat lines. This will provide a starting point to reveal how allelic variation in MADS-box genes may affect agronomically important traits in wheat. 71 Classification of Wheat Varieties in Satellite Images to Perform GWAS Samuel R. Revolinski Dept. of Crop and Soil Science, Washington State University With dramatic reduction of sequencing cost, field trials have become the major burden of plant breeding to improve grain yield, quality and resistance to biotic and abiotic stress, especially on large scale. Abundant available satellite images have the potential to provide valuable data in regards to infection from disease, responses to drought and heat, as well as grain yield and quality. Most of these are due to the improvement of sensing resolution and shorter time intervals between pictures taken. The Satellite WorlView-2, launched in 2009, provides sensing at resolution within a meter on a near daily base. We review the satellite imagery resources and usages, including disease detection, crop discrimination, drought tolerance, nitrogen efficiency. Our objective was to inspire the joint usage of remote imagery data and genomic data for the genetic improvement in crops. 72 A Transcriptome Analysis of Genes Involved in the Production of Reactive Oxygen Species By P. triticina during Its Infection on Wheat Xiben Wang Agriculture and Agri-Food Canada Reactive oxygen species (ROS) play an important role during host and pathogen interactions and are often an indication of induced host defense responses. The importance of these radicals for pathogenesis of the obligate biotrophic fungus, Puccinia triticina *( Pt ), has not been investigated. In this study, we demonstrate that *Pt *generates ROS, including superoxide, H202 and hydroxyl radicals, during its infection of wheat. Through pharmacological inhibition, we show that ROS are critical for both *Pt urediniospore germination and intercellular growth. A Pt *genome-wide screening identified 291 putative genes associated with general redox homeostasis and the search in RNA-seq data sets representing *Pt urediniospore germination, early and late infection stages on susceptible wheat cultivar Thatcher, found 37 genes annotated to encode known products related to oxidative stress responses. We identified two canonical Pt genes encoding NADPH oxidases ( PtnoxA and PtnoxB ), as well as a regulatory gene, *PtnoxR. *Real time qPCR analysis showed that all three genes were differentially regulated during urediniospore germination and infection on wheat. 73 Detoxification of Mycotoxins as a Source of Resistance to Fusarium Head Blight: From Brachypodium distachyon to Triticum aestivum Miriam Gatti Institute of Plant Sciences Paris-Saclay Fusarium head blight (FHB) caused by fungi of the Fusarium genus is a widespread disease of wheat ( Triticum aestivum ) and other small-grain cereal crops. The main causal agent of FHB, Fusarium graminearum , can produce mycotoxins mainly belonging to type B trichothecenes, such as deoxynivalenol (DON) that can negatively affect humans, animals and plants. Several quantitative trait loci (QTLs) for resistance to FHB have been identified some of which have been correlated with efficient DON detoxification, mainly through the conjugation of DON into DON-3- O -glucose (D3G), a reaction catalyzed by UDP-glucosyltransferases (UGTs). Nevertheless, only few studies have conducted functional analyses to directly correlate DON glucosylation and resistance in planta and none were performed on wheat UGT gene(s). Our team, using the model cereal species Brachypodium distachyon , has recently demonstrated that the Bradi5g03300 UGT is able to confer tolerance to DON following glucosylation of DON into DON 3- O -glucose and is involved in the early establishment of quantitative resistance to FHB. In the present work, we transferred the functional analyses conducted on the model species Brachypodium distachyon to bread wheat. In a first approach the B. distachyon Bradi5g03300 gene has been introduced through biolistic-mediated transformation in the wheat variety Apogee, susceptible to FHB. The phenotypic analyses conducted on homozygous transgenic wheat constitutively expressing the Bradi5g03300 gene showed that they exhibit higher resistance to FHB as well as increased root tolerance to DON compared to the control line. In parallel, using a synteny approach between B. distachyon and bread wheat genomes we identified a wheat candidate gene orthologous to the B. distachyon Bradi5g03300 gene. This wheat gene after validation through gene expression pattern during wheat infection, was introduced by transformation into B. distachyon to rapidly determine its ability to conjugate DON into D3G *in planta *and its involvement in FHB resistance. In conclusion, this project contributes to increase the knowledge concerning the functional relationship between DON glucosylation and FHB resistance in wheat and provide candidate genes to include in selection processes. 74 Genetic Architecture of Recombination Rate and Its Effects in Allopolyploid Wheat Katherine Jordan Kansas State University Recombination is a natural process that shapes the landscape of natural alleles within a population. Understanding the genetic basis of how variation in recombination rate is maintained and its effects are important to manipulate the recombination process in crops in order to improve them. We dissected naturally occurring variation in recombination rate present in a spring wheat NAM population and found it is mostly defined by rare alleles with small effects that explain up to 48.3% of the variation in our population. Specifically we identified 66 regions within the genome that contribute to the observed natural variation. Our regions are enriched for meiotic functioning genes, and encompass many conserved recombination genes. Further dissection suggests that the genetic architecture of recombination is predominantly additive and controlled by trans-acting features. In addition, we observed evidence of additive genetic factors that contribute to pericentromeric crossover (CO) frequency without affecting the frequency of telomeric COs. We have also observed a negative effect of linkage drag on deleterious mutation load resulting in excess strong-effect mutations in the pericentromeric genomic regions with constrained recombination. This information suggests manipulation of wheat is possible by influencing CO distribution and frequency, thus unlocking the whole genome without the consequences for linkage drag in wheat improvement. 75 Genomic Prediction and Genome-Wide Association Study of Grain Yield, Kernel Weight, and Kernel Number in a Durum Wheat Breeding Population Evan Salsman North Dakota State University North Dakota leads the United States in acreage and production of durum wheat . Improvements in durum grain yield can result in substantial increases in profit for both farmers and the state. To date, all cultivar yield improvement in the North Dakota State University Durum (NDSU) Wheat Breeding Program has been achieved with phenotypic selection on replicated-plot yield trials in late generations. Applying genomic selection (GS) in earlier generations prior to replicated-plot testing could potentially increase genetic gain if the prediction model has merit. To understand the prospect of GS in the NDSU durum germplasm, unbalanced yield trials including approximately 1,000 breeding lines were used to generate GS models and predict breeding values of lines from the 2015 and 2016 generations. Generally, forward prediction accuracies increased as lines from additional breeding generations were added to the model. Forward prediction accuracies for the 2016 generation were 0.44, 0.42, and 0.35 for grain yield, kernel weight, and kernel number, respectively. Additionally, genome-wide association mapping revealed quantitative trait loci (QTL) for kernel weight. This information can further our understanding of genetic gain plant breeders can expect when applying GS to complex traits in an active wheat breeding program. 76 Application of CRISPR/Cpf1-Based Genome Editing in Polyploid Wheat Wei Wang Kansas State University, Department of Plant Pathology CRISPR/Cas9 has been widely applied in many organisms as a powerful genome editing tool. However, its target sites amenable to editing are limited by the 3¡¯-end NGG proto-spacer adjacent motif (PAM). The CRISPR/Cpf1 requires 5¡¯-end TTV or TTTV PAMs providing opportunities for targeting the AT-rich regions. The genome editing ability of FnCpf1 and LbCpf1 were assessed in wheat by combining transient expression in the wheat protoplasts and next generation sequencing (NGS) of the target regions. While no genome editing events were found for FnCpf1, about 1/3 of the designed targets for LbCpf1 showed the evidence of genome editing. The efficiency of editing was up to 10%, comparable to that of SpCas9 in the wheat protoplasts. We are also testing the editing efficiency of the mutated LbCpf1 (G532R/K538V/Y542R, henceforth LbCpf1m), which in mammalian cells was shown can induce mutations with the 5¡¯-end of the TATV PAM. Multiplex gene editing using Cas9 is somewhat limited by the size of the transgenic constructs. The ability of Cpf1 to process its own CRISPR RNA (crRNA) and the shorter length (43 nucleotides) of crRNA make it a promising multiplex genome editing tool. Multiplex gene editing constructs with different numbers of crRNAs under the control of a single promoter were constructed. All multiplex genome editing constructs generated indels/insertions at the targets sites with the efficiency comparable to that of a single crRNA construct. Our results show that the LbCpf1 can further expand the set of tools available for engineering the wheat genome. 77 Identification of Quantitative Trait Loci (QTL) Associated with Fusarium Head Blight Resistance in a D8006W/ Superior Winter Wheat Population Anjan Neupane Department of Plant Science, University of Manitoba Fusarium head blight (FHB) caused by Fusarium graminearum is a major disease of wheat in North America. FHB infection reduces grain yield, affects end-use quality, and accumulates mycotoxins such as deoxynivalenol (DON) in the grain. The objective of this research was to identify QTL associated with FHB resistance. A doubled haploid soft white winter wheat population consisting of 107 lines from the cross D8006W/Superior was used. Evaluation for FHB reaction was performed using spray inoculation of a macroconidia mixture of four *F. graminearum *isolates representing two chemotypes in replicated field disease nurseries in three locations in Canada in 2016 and 2017. Disease incidence and severity were recorded 21 days post inoculation and FHB index was calculated. Percentage Fusarium damaged kernels and DON content were measured from collected grain samples. Both parental lines showed moderate reaction across all environments for FHB traits. However, the population showed transgressive segregation for FHB reaction with a wide continuous distribution. Genotyping of the population was performed using the 90K Illumina Infinium iSelect single nucleotide polymorphism array and 5194 high quality SNP were selected for analysis. Linkage mapping and QTL analysis is under processing. This experiment will be repeated in field nurseries in 2018. Significant FHB resistance QTL identified from this project will be used in winter wheat breeding programs using marker assisted selection. 78 Widening the Genepool and Identifying Genes Controlling Key Traits in Rice and Wheat Robert J. Henry University of Queensland/QAAFI Food security can be advanced by capturing more useful diversity in crop improvement and by better understanding the molecular basis of key traits that limit the rate of genetic gain in breeding. Recent genome sequencing research has identified wild populations representing significant new diversity in the primary gene pool of rice. This provides new sources of resistance to pests and disease, diversity to allow adaptation to climate change and novel grain qualities with potential consumer appeal and health benefits. Analysis of the transcriptome of the developing grain of diverse wheat germplasm has identified the genetic control of traits such as milling performance, hardness, and end-use quality (bread and chapatti). Genetic improvements can generate more grain per hectare more flour per tonne of wheat and more end-product per tonne of flour. These studies have demonstrated the great diversity of response to heat stress in the wheat gene pool. When combined these developments offer large improvements in food security. 79 A Near-Finished Reference Genome for the Wheat Blast Fungus Provides Insight on Pathogenicity and Adaptation Zhao Peng Kansas State University University of Florida Wheat blast, a devastating new fungal disease caused by the haploid fungus Magnaporthe oryzae pathotype Triticum *(MoT), has been spreading in South America since it was first reported in Brazil in 1985. This disease jumped to Bangladesh in 2016 and now poses a major threat to wheat production in South Asia and beyond. To produce a MoT reference genome, the highly aggressive MoT isolate B71, collected in Bolivia in 2012, was sequenced and assembled with long PacBio reads, Illumina sequences, and a novel scaffold technology using Long-Insert-End-Pair (LIEP) sequences, resulting in a near telomere-to-telomere assembly. The availability of the near-finished assembly facilitated the dissection of genomic structural variation (SV) between B71 and a less aggressive MoT strain isolated in Brazil in 1988, as well as among multiple *M . oryzae isolates adapted for infecting wheat or other crop species. A dispensable mini-chromosome in the B71 genome was identified through the SV analysis and verified, while none or two mini-chromosomes were found in two other MoT isolates. Two effector genes first characterized in the rice blast pathogen, M. oryzae pathotype Oryza , occur together in the MoT mini-chromosome, where both genes maintain characteristic in planta specific expression. The results imply the potential role of the mini-chromosome in the pathogenicity and adaptation of MoT. 80 Identification of Consistent Loci for Fusarium Head Blight Resistance in Northern European Spring Wheat through Genome-Wide Association Mapping Susanne Windju Graminor Fusarium head blight resistance is quantitative, highly complex and divided into several different resistance types. QTL that are effective against several of the resistance types would be a valuable contribution for resistance breeding against this devastating wheat disease. A panel of 299 spring wheat lines with different geographical origin was tested in spawn-inoculated field trials and subjected to visual FHB assessment. In addition, DON level was analysed in the harvested seed. Anther extrusion (AE) was also assessed, in separate field trials. The panel was genotyped with the Affymetrix 35K SNP chip. Eight QTL, significant in three or more testing environments, were detected associated with both FHB and DON. These QTL were detected on chromosomes 1AS, 1AL, 2BL, 3B, 4AL, 5AL, 7AS and 7BS. AE was negatively correlated with FHB and DON, and association mapping could reveal seven AE QTL that coincided with the QTL detected for FHB and DON. The lines tested in the wheat panel harboured from zero to all the detected QTL, and the results show that resistance can be significantly increased by combining several of these resistance alleles. This information enhances the possibility to select crossing parents to obtain varieties more resistant to FHB and DON. 81 Harnessing ¡®Left behind¡¯ Drought-Adaptive Alleles for Modern Wheat Improvement Yehoshua Saranga R. H. Smith Institute of Plant Science Genetics in Agriculture, The Hebrew University of Jerusalem The genetic diversity in wild ancestors of crop plants has been considerably eroded throughout plant domestication, evolution under cultivation and recent plant breeding, thereby making modern crop germplasm vulnerable to various biotic and abiotic stresses. Therefore, an important task of modern breeding is to identify and reintroduce valuable ¡®left behind¡¯ alleles into the modern domesticated gene pool. Introduction of such alleles has been mostly employed for improving biotic stress resistances, while abiotic stress adaptations received only minor attention. Water deficit is the major environmental factor limiting crop productivity, hence developing drought-resistant crop cultivars is essential to ensure a sustainable agricultural production under the ongoing climatic change. Wild emmer wheat ( Triticum turgidum ssp. dicoccoides Thell.), the progenitor of the domesticated durum ( T. turgidum *spp. durum* (Desf.) MacKey) and bread ( T. aestivum L.) wheats, harbors a rich allelic diversity that is valuable for future improvement. Selected drought-adaptive QTL alleles were introgressed from wild emmer wheat into modern durum and bread wheat cultivars and the resultant near isogenic lines (NILs) were tested for their drought responses. NILs introgressed with wild emmer QTL on chromosome 7A, exhibited under water-limited conditions greater grain yield, osmotic adjustment, photosynthetic capacity and root development compared with their recurrent parent. Selected NILs, carrying the 7A QTL in two genetic backgrounds, tested across 3 years under commercial field conditions, exhibited a significant advantage over their parental cultivars, particularly under drought, thus confirming the potential of this left behind QTL allele for improving drought resistance in modern wheat. 82 Development of Genetic and Genomic Resources to Evaluate Wheat Organellar Genome Variants and their Functional Implications Katie L. Liberatore Department of Plant Pathology, University of MinnesotaCereal Disease Laboratory, United States Department of Agriculture-Agricultural Research Service Organellar genome diversity represents a potential untapped source for improving agronomic traits. Due to the nature of hybridization and domestication events that led to modern cultivated wheat, organellar (mitochondria and chloroplast) genome diversity was dramatically reduced. However, wheat has the largest known collection of alloplasmic (alien cytoplasm) lines. In these lines, the cytoplasms, and therefore the organelles, of wild relatives have been mismatched with the nuclear genome of domesticated wheat through extensive backcrossing. Disruption of native nuclear-cytoplasmic interactions (NCI) impacts a number of agronomic traits including fertility, biomass, grain yield, and stress response. To understand the functional implications of organellar genome variants and genetic mechanisms underlying NCI, we generated organellar genomic resources. We developed a method to couple organellar DNA enrichment from total gDNA utilizing a pull-down approach and ultra-low input library preparations for long-read sequencing. We sequenced 20 organellar-enriched samples with PacBio, including 13 diverse wild species, T. durum , T. aestivum cv. Chinese Spring, and three alloplasmic lines. We also generated Illumina short-read sequences for 75 cultivars, wild species, and alloplasmics. Comparative analyses are investigating organellar diversity across the Triticum-Aegilops complex and how sequences change in the alloplasmic condition. In parallel, we are generating additional genetic and genomic resources in wheat and the model system Brachypodium distachyon for functional genomics studies. These resources will be useful to the broader community for furthering our understanding of the molecular mechanisms involved in NCI and their affects on plant phenotype as well as for breeding efforts to improve agronomic traits. 83 POTAGE: A Visualisation Tool for Speeding up Gene Discovery in Wheat Radosław Suchecki The University of Adelaide POPSEQ Ordered Triticum aestivum *Gene Expression (POTAGE) is a web application which accelerates the process of identifying candidate genes for quantitative trait loci (QTL) in hexaploid wheat. This is achieved by leveraging several of the most commonly used data sets in wheat research. These include the Chromosome Survey Sequences, their order along the chromosomes determined by the population sequencing (POPSEQ) approach, the gene predictions and RNA-Seq expression data. POTAGE aggregates those data sets and provides an intuitive interface for biologists to explore the expression of the predicted genes and their functional annotation in a chromosomal context. The interface accelerates some of the laborious and repetitive tasks commonly undertaken in the process of identifying and prioritising genes which may underlie QTL. We illustrate the utility of POTAGE by showing how a short-list of candidate genes can quickly be identified for a QTL linked to pre-harvest sprouting - a major cause of quality and yield loss in wheat production. The candidate genes identified using POTAGE included *TaMKK3 , which was recently reported as a causal gene for seed dormancy in wheat, and a mutation in its barley ortholog has been shown to reduce pre-harvest sprouting. In addition to the public version of POTAGE , we have also developed a Docker image for quickly deploying POTAGE locally and work-flows showing how to add your own expression data sets to a local installation. This is of particular relevance to those who work with unpublished data sets or would like to deploy POTAGE on their own hardware. 84 Evaluation of the Effect of an Alien Chromosome Segment Translocated from Aegilops sharonensis on Recombination Frequency in Wheat Motohiro Yoshioka Graduate School of Agriculture, Kyoto University Background: The resolution of genetic map depends on meiotic crossover frequency between homologous chromosomes. Due to a low crossover frequency in the wheat genome (Triticum aestivumL.), a large population is needed to obtain informative recombinants. Moreover, it has been demonstrated that artificial allotriploids in the Brassica species exhibit genome-wide elevation in recombination frequency. However, the effect of alien chromosomes on meiotic recombination still remains poorly understood in crop species. Thus, the purpose of this study is to demonstrate if the alien chromatin (segments) can increase recombination/crossover frequency in wheat. Methods : We developed an F2 population derived from an accession DT4B-4Ssh. The terminal segment of the chromosome 4Ssh of Aegilops sharonensis was translocated to chromosome 4B of Chinese Spring (CS), which was subsequently crossed with a spelta wheat ( T. spelta L. var. duhamelianum, accession KT019-001). The F2 population derived from normal CS and KT019-001 was used as control. Linkage maps were constructed using the same set of 494 markers scattered on A and B genome chromosomes. Results : The complete linkage map derived from DT4B-4Ssh was ~11% longer than from CS. The average crossover numbers significantly increased for the entire A and B genome respectively. The observed elevation of recombination frequencies was not concentrated in a particular chromosomal region. In conclusion, our results indicated that the chromosome segment introduced from *Ae. sharonensis *increased recombination frequency globally. This suggests that small alien chromatin may affect meiotic recombination in wheat. 85 Reduced Height Semi-Dwarf Alleles Significantly Impact Wheat End Use Quality Emma Jobson Montana State University The genes responsible for dramatic yield increases during the 1950s and 1960s are mutant forms of the Reduced height ( Rht ) genes. Since then, two semi-dwarfing alleles of Rht , Rht-B1b and Rht-D1b have been widely incorporated into modern wheat cultivars. Despite being some of the most widely utilized yield increasing genes, few studies have examined their effect on wheat end use quality. For this study we compared near isogenic lines created in a standard height spring wheat variety (Fortuna) varying for the presence of the gibberellin insensitive mutations Rht-B1b, Rht-D1b, *or the gibberellin sensitive dwarfing gene *Rht-8 . Our agronomic results agreed with previous findings and we observed a 25% height reduction and 13% yield increase in Rht-B1b/Rht-D1b compared to the tall isoline. Grain protein was decreased (from 15.4 to ~13.6%) as was kernel weight (15%) in the Rht-B1b/Rht-D1b isolines. We also saw a slight decrease in the loaf volume in Rht-B1b/Rht-D1b compared to the tall line. However, we observed statistically significant increases in flour yield (2%), falling number (5%), mixing tolerance (56%), and baking mix time (33%). The fact that flour yield was increased is unexpected since Rht-B1b/Rht-D1b also decrease seed size. For almost all parameters, Rht-8 was intermediate between the tall line and Rht-B1b/Rht-D1b . These findings indicate that although Rht-B1b/Rht-D1b decrease seed size and protein content, they positively impact wheat milling yield and do not negatively impact dough strength. 86 Analysis of Wheat Internode Time Course RNAseq Data to Identify Genes Related to Nutrient Remobilisation Depending on Nitrogen Availability Asier Gonzalez-Uriarte Rothamsted Research The massive and polyploid genome of wheat has make it challenging for researchers to leverage RNAseq to identify candidate genes underlying complex phenotypes. Most studies in wheat have focused on high-level characteristics of gene expression because the available references were incomplete and fragmented and over 100,000 transcribed genes are assayed simultaneously. In other organisms, well designed and carefully analysed RNAseq experiments have contributed to gain insights into mechanisms controlling complex traits and we intend to follow a similar approach in wheat genomics now that near-complete references are available. Here we describe the bioinformatics analysis of a time course RNAseq experiment in which internode samples from hexaploid wheat ( T. aestivum ) plants treated with two nitrogen levels have been collected at 8 time points between anthesis and senescence. The study aims to elucidate the molecular mechanisms involved in nutrient remobilisation from senescing organs to developing tissues and the role of nitrogen availability in senescence. The chloropyll level has been used as a marker of senescence and the DESeq2 Bioconductor package has been used to identify genes that switch their state at its onset. We demonstrate that it is possible to reduce the number of candidate genes from thousands to dozens using statistical methods to identify genes that have an expression profile of interest. In this work, 9 genes have been found to be upregulated and 8 downregulated in senescence and their functions seem to be related to processes like chlorophyll binding, protein breakdown and cell signalling. 87 Towards Chromatin Immunoprecipitation (ChIP)-DNA Isolation and Epigenome Development in Durum Wheat Tissues Antonette Todd Delaware State University Chromatin Immunoprecipitation (ChIP) examines the connections between proteins and DNA contained in the genome of an organism by observing histone modifications. Histone modifications incorporate the ability to relax and condense chromatin, which in turn, helps govern gene expression and repression. In acetylation, the chromatin relaxes, which allows transcription factors to reach their target, causing gene expression. In methylation, the chromatin condenses, restricting transcription factors from reaching their target, obstructing gene expression. Tri-methylated lysine four on histone three (H3K4me3) plays a role in activation in gene promoter regions. Histone-DNA interactions might play an important role in fighting drought, adjusting to heat stress, and combating diseases during plant developmental stages. In this work, we will optimize ChIP-DNA extractions in Durum wheat and observe ChIP-DNA isolates in four tissues (leaf, root, head, and two week old seedling) to detect variances in histone-DNA interactions among the group using Illumina sequencing. By optimizing the ChIP-DNA isolation protocol in Durum wheat we may better understand histone modifications and the role they play in fighting abiotic and biotic stresses. Additionally, we will use quantitative PCR to identify chromosome remodeling gene expression differences among tissue types in wheat. Knowing where these particular genes are located in the genome may help us understand their importance. The objective of this study is to serve as a blueprint for examining spatial histone methylation and acetylation in wheat using the ChIP assay. 88 Assessing the Consequences of Key Events of the Hexaploid Wheat Genome Evolution: Structural and Evolutive Analysis of an Ancestral Chromosomes Fusion Point and of a Region Resulting from Ancient and Recent Polyploidizations Arnaud Bellec French Plant Genomic Center CNRGV - INRA Studying the bread wheat genome¡¯s structure has been a tremendous challenge for decades. Its complexity (hexaploidy, high rate of repetitive elements) and size make wheat genome both complex to decipher and interesting to investigate as the result of multiple evolutionary forces (ancient and recent polyploidization, chromosomes fusions, deletion or sub-functionalization of homeologous genes). To study these events we first aimed at characterizing a chromosomes fusion locus (CF) and comparing the structure of the copies of a 2 Mb region carried by chromosomes 1A, 1B, 1D, 3A, 3B, 3D. Before the release of a wheat reference genome, our strategy was to identify BACs spanning the regions of interest using available resources (chromosome specific BAC libraries, physical maps, genome zipper, WGP) and to sequence BACs using PacBio technology. Despites all these resources, it remained difficult to sequence the CFs which are highly rearranged regions and the six copies of the region of interest. The release of the IWGSC reference genome followed by its annotation have changed our strategy by giving access to the whole genome sequence. Thanks to this sequence, we have redefined the orthologous relationship between hexaploid wheat genes and rice genes (as rice has conserved the structure of the common grass ancestor). We have identified various rearrangements and precisely outlined the CF regions. Following this analysis at the genome scale, we focused on the rearrangements of the CF regions of chromosomes 1A, 1B, 1D and on the fates of homeologous genes among the six copies of a region of interest. 89 Improved Markers for a Pre-Harvest Sprouting QTL on Wheat Chromosome 3B Mark Jordan Agriculture Agri-Food Canada A QTL for sprouting index on chromosome 3B was identified in the AC Domain x RL4452 bi-parental mapping population (Cabral et al. 2014, BMC Plant Biology 14:340). The flanking markers derived from the Illumina iSelect 90K chip define a region of 185 Mbp in the wheat RefSeq 1.0 genome sequence containing over 1180 annotated high confidence genes. Additional markers are needed to narrow down this region for wheat breeding purposes as well as to eventually identify candidate genes. As a first step to identify additional markers SNPs previously validated in the KASP assay were identified by locating QTL flanking markers from the 'AC Domain' x RL4452 3B map on the 'Avalon' x 'Cadenza' map. Validated KASP markers mapped on Avalon x Cadenza in the region between QTL flanking markers were chosen ( http://lgcapps.com/assays/wheat/ ) for genotyping and mapping on the 'AC Domain' x RL4452 population. Subsequently the full genomic region between flanking markers from the IWGSC RefSeq1.0 genome sequence was used to identify SNPs between the parental genotypes in a sequence database derived from exome capture sequencing of Canadian wheat genotypes. 1492 SNPs were identified in 288 annotated genes. The SNPs will be useful to further narrow down the QTL region and provide robust markers for selection of lines with increased tolerance to pre-harvest sprouting. 90 Discovering Superior Alleles Underlying Drought and Heat Tolerance in Common Wheat Ruilian Jing Institute of Crop Science, Chinese Academy of Agricultural Sciences Environmental stresses, drought and heat, especial the stresses in grain filling period are the primary causes of grain yield losses in wheat ( Triticum aestivum L.). Abundant wheat germplasm resources with tolerance to drought (DT) and heat (HT) have been identified. They are important gene resources for wheat improvement. However, very little is known about these resources, such as what tolerant-genes these germplasm possess, in which accessions have the superior alleles underlying the tolerances, and how to use these alleles effectively. Our researches showed that some genes involved in the DT and HT, also contributed to the yield-related traits. Here, we dissect the functions of gene Ta**SnRK2 (sucrose non-fermenting1-related protein kinase 2), TaPP2A (protein phosphatase 2A), and TaSPL (squamosa-promoter binding protein, SBP-box). TaSnRK2 and TaPP2A not only responded to abiotic stress, but also significantly associated with 1000-grain weight under terminal drought and heat stress. Two of the SPL *members, *TaSPL20 and TaSPL21 associated with 1000-grain weight and plant height in multi-environment. According to the functional analysis of naturally occurring variants, favorable alleles/haplotypes were identified with the perfect markers. They increased 1000-grain weight, and reduced plant height in well-watered, drought, and heat environments. Our study suggests that during domestication and breeding of wheat in China, superior alleles of each gene were selected and exploited to varying degrees due to their large effects on the yield-related traits.
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31¡¢Meiosis Specific Gene Discovery in Hexaploid Wheat Arun S.K Shunmugam National Research Council Canada Meiosis plays a key role in sexual reproduction of eukaryotic organisms. Understanding the molecular basis of chromosome pairing and recombination during meiosis is essential to exploit the genetic variation available in the gene pool. Meiotic development is governed by a genetic program that coordinates the spatio-temporal expression and function of numerous genes essential for the process. The key step towards the discovery of meiosis specific genes and regulatory networks is to isolate uncontaminated male meiocytes from well-defined stages of meiosis. Male meiocytes are present in a column of enlarged cells called archesporial column within the four loculi of wheat anthers. We have optimized a male meiocyte isolation procedure which involves the extraction of intact archesporial columns using a specialized anther squash method to avoid or minimise contamination from other cell types present in wheat anthers. To comprehensively characterize expression dynamics during meiosis, meiocytes from Chinese Spring anthers were collected from seven different meiotic stages, including leptotene, zygotene, pachytene, diplotene, diakinesis, metaphase I and metaphase II. Total RNA was isolated and sequencing was performed using the Illumina platform. In this presentation, we will discuss (1) our efforts towards establishing a comprehensive catalogue of meiosis-specific genes in wheat and identification of gene regulatory networks governing chromosome pairing behavior and recombination, and (2) future strategies to exploit these resources towards development of novel wheat germplasm. 32¡¢Wheat Hessian Fly Interactions: A Duel till Death Subhashree Subramanyam Purdue University A duel between wheat ( Triticum aestivum ) and its major dipteran insect pest, the Hessian fly ( Mayetiola destructor ) elicits one of two interactions: incompatible (plant wins and larvae die), and compatible (larvae win and plant dies). During an incompatible interaction, the wheat plant surveillance mechanism detects the larval salivary effectors with an appropriate R *gene triggering a gene-for-gene recognition that in turn activates plant defenses rendering the host plant resistant. This recognition event triggers expression of defense-response genes, changes in surface wax composition, accumulation of antifeedant proteins, as well as controlled host-cell permeability that aids in delivery of antinutrients, all leading to larval death. In contrast, during a compatible interaction, the salivary effectors from virulent larvae essentially hijack the host plant system by suppressing defense response, and altering the metabolic pathways leading to physiological changes at the feeding site (crown tissue) that provide the developing larvae a diet rich in essential nutrients making the wheat plant susceptible. Our recent investigations using Next generation RNA-Sequencing technology and quantitative real-time PCR expression studies in wheat and Hessian fly have revealed several differentially expressed genes and associated metabolic pathways providing molecular insight into plausible resistance and susceptibility mechanisms. Development of the Hessian fly *in planta translocation (HIT) feeding assay opened up research avenues to test the effects of various defense and insecticidal proteins on this obligate parasite of wheat. In addition, we have explored the use of model grass genome and nonhost of Hessian fly, Brachypodium distachyon , for functional characterization of candidate defense genes for development of molecular tools to overcome economic devastations caused by this insect pest. 33¡¢Completion of the ¡®Jagger¡¯ Winter Wheat Genome Leads to Identification of Aegilops ventricosa 2NS Translocation and Its Impact in Kansas and US Wheat Breeding Liangliang Gao Kansas State University Since its release 23 years ago, the winter wheat cultivar Jagger has had a huge impact on wheat production in the US and around the globe and became a parental germplasm in many of the current cultivars of the central U.S. Importantly, Jagger also possesses the Aegilops ventricosa 2NS translocation fragment, which is associated with disease resistance against multiple wheat pathogens including the devastating wheat blast fungus. Here we present the first de novo assembly and anchoring of the Jagger genome based on the NRGene DeNovoMAGIC 3.0 pipeline and chromosome conformation capture technology (Hi-C). We were able to successfully anchor ~3000 scaffolds with a cumulative length of 14.2 Gb and an N50 of 10.5 Mb to build 21 draft pseudomolecules. Overall, these draft pseudomolecules showed high collinearity with the reference Chinese Spring genome (IWGSC RefSeq v1). The Jagger genome will be a powerful tool in the analysis of the wheat pan genome and the dissection of important agronomic traits. To illustrate its utility, we delineated the Aegilops ventricosa 2NS translocation fragment in Jagger, consisting of a ~30 Mb fragment identified through alignment of Jagger chromosome 2A to ¡®Chinese Spring¡¯ chromosome 2A. We also developed a pipeline for identification of 2NS translocations in wheat breeding lines using genotyping by sequencing (GBS) data and reference genomes. Our results suggest that the 2NS translocation segment is widely present in KS and other US breeding materials, and is potentially providing a yield benefit over the span of 26 years. 34¡¢Validation of Grain Yield QTL from Soft Winter Wheat Using a CIMMYT Spring Wheat Panel Dennis Nicuh Lozada University of Arkansas QTL validation is an essential step in identifying genomic regions affecting variation for complex traits such as grain yield (GY) and yield components for marker-assisted breeding. We report the validation of GY-QTL from winter wheat using a population of spring wheat from CIMMYT, Mexico evaluated for GY, grain number (GNO), and thousand grain weight (TGW) across 29 international locations. The objectives of this study were to validate GY and yield component QTL previously identified from soft winter wheat using CIMMYT¡¯s wheat association mapping initiative (WAMI) panel, determine the allele combination for the validated QTL that resulted to highest GYs, and identify candidate genes associated with the validated SNP loci. KASP® assays developed for *wsnp_Ex_c361_708712 *(3A), *wsnp_Ex_c13849_21698240 *(4B), and *wsnp_CAP11_c3599_1741800 *(6B) were associated with GY, GNO, and TGW across different BLUP and BLUE datasets in WAMI. The T-C-C allele combination, which contained favorable (positive) alleles at all three loci resulted to highest mean GY. A negative effect for the minor alleles observed in both the winter and spring panels demonstrated selection for the GY-enhancing major allele and indicated similar selection pressures in both wheat classes. Candidate gene analyses revealed diverse gene functions from repressor of RNA pol III transcription, positive regulation of ubiquitin protein ligase activity, and transcription factor identified for GY-related marker-trait associations demonstrating the complex nature of GY and yield components. Our results showed the potential of the developed assays for marker-assisted selection to improve GY-related traits in both winter and spring wheat classes. 35¡¢Assessing the Potential of Host-Induced Gene Silencing to Reduce Wheat Rust Infection in Transgenic Wheat Ali A. Ahmed UC DAVIS The RNA interference based Host-Induced Gene Silencing (HIGS) has been shown to provide resistance to several plant diseases. We are testing HIGS to enhance resistance in wheat against three rust pathogens. Previously we demonstrated that individual silencing of ten stem rust genes using transient Virus-Induced Gene Silencing significantly reduced stem rust development. Silencing four and three of these genes also decreased the development of stripe rust and leaf rust, respectively. We are currently investigating the potential of silencing these genes to minimize rust infection through stable expression of the RNAi trigger sequence in transgenic wheat. Four stripe rust genes which are highly expressed in haustoria and two leaf rust genes that may be vital for proliferation were also targeted. So far 154 T1 plants have been generated with an average of six independent transgenic events per target gene, of which 140 have been confirmed as containing the respective transgene by PCR. The T1 plants were selfed to generate T2 seed. Ten T2 plants per each T1 are being evaluated for resistance to stripe rust and stem rust on 1-9 and 0-4 scales, respectively. Of 68 T1 progeny tested so far against stripe rust, 6 and 7 infection types were observed for 3 and 13 transgenics, respectively. One, nine and four transgenics showed 2-3, 3 and mixed infection types for stem rust infection, respectively. Seven plants showed some level of reduced infection with both stripe rust and stem rust. The infection assays are underway for the remaining T1 plants. Tests will be repeated to confirm the partial resistance phenotypes on T3 plants. All 140 T1 progeny will also be evaluated for resistance to leaf rust. Transgenic lines containing different RNAi targets that exhibit promising phenotypes will be crossed in order to pyramid individual RNAi effects. 36¡¢Leveraging the Tetraploid Wheat Genomes for Cloning Cdu-B1 , a Major Gene for Cd Accumulation in Durum Wheat Grain Sean Walkowiak University of Saskatchewan Cadmium (Cd) accumulation in the grain of durum wheat presents a serious concern for human health. As a result, durum wheat breeding programs select for low grain Cd. Differences in Cd accumulation among cultivars of durum wheat are attributed to the major-effect gene Cdu-B1 located on chromosome 5B. The objective of this study was to identify the functional determinant of Cdu-B1 . The fine mapped interval for Cdu-B1 was anchored to the complete genome sequences of the durum cultivar ¡®Svevo¡¯ (a high Cd accumulator) and the wild emmer wheat accession ¡®Zavitan¡¯ (a low Cd accumulator). A sequence comparison of Cdu-B1 between Svevo and Zavitan revealed a gene candidate, HMA3-B1 . This gene encodes a P1B-ATPase transition metal transporter and contains a 17 bp duplication in the first exon in Svevo relative to the wild-type allele in Zavitan. A molecular marker for the 17 bp duplication was used to evaluate a diverse set of breeding lines from global breeding programs and was able to identify low and high Cd accumulators with perfect precision. Furthermore, functional assays using yeast expression systems confirm a role for the wild-type HMA3-B1 gene in regulating Cd accumulation in grain by mediating vacuolar Cd sequestration. In addition, the 17 bp duplication allele present in high Cd genotypes was non-functional. The molecular marker developed from this work is currently deployed in global breeding programs to develop wheat lines with low grain Cd. 37¡¢A Benchmarking Resource to Assess Wheat Genotyping Platforms Mario J Caccamo NIAB Recent advances in both chemistry and data analysis tools have driven down the cost of DNA-based protocols resulting in a varied offer of genotyping platforms, in particular for species with complex genomes such as wheat. One of the challenges for the end users is to be able to evaluate how the different platforms compare and which ones are better suited for the different downstream applications. The aim of our project is to design a benchmarking assay to be made available to the scientific community as a resource to assess the different genotyping platforms in terms of information content, reliability of the results and resources requirements. In order to inform the construction of this resource we generated genotyping data for 384 wheat lines using three reduced-representation approaches: DArTseq, SNP-array (hybridisation-based) and exome capture. The DNA samples were extracted from material that is hosted at the seed bank at CIMMYT and includes varieties from a diversity of backgrounds (including some wild species). We will make the genotyping data publicly available via established resources (such as the CerealsDB database). We will also deploy a Galaxy interface that will provide access to the data together with a number of data analysis tools. This BBSRC Newton-fund project is a collaboration between the Seeds of Discovery initiative at CIMMYT (Mexico), and NIAB, the Earlham Institute and the James Hutton Institute in the UK. 38¡¢A Comprehensive Microbiome Analysis of Wheat and Its Wild Relatives Heather N. Cantor Colorado State University Microbiomes are diverse assemblages of endophytic and free-living microorganisms that can confer competitive advantages to their plant hosts such as water acquisition, nutrient mobilization, drought tolerance, salt tolerance, and disease resistance. Plant domestication and selective breeding have altered the composition of these plant-microbe interactions in several crops. It is thought that the progenitors of the A, B, and D genomes in modern hexaploid wheat manage environmental stress in their native environment by establishing symbioses with a consortium of beneficial microbes. However, these microbial communities are not well understood. The goal of this study is to better understand the core community of microbes in wild wheat relatives and how they differ from the microbiome of cultivated wheat. This study compares the bacterial and fungal taxa found in the leaves, roots, and rhizosphere of three accessions of hard winter wheat and 11 wild relatives. These plants and the agricultural soil they inhabit were sampled from a randomized complete block design with two replications, grown in well-watered and water-limited treatments in Fort Collins, Colorado. DNA was extracted and amplicon sequencing of the 16S-V4 (bacterial) and ITS2 (fungal) rRNA genes was used to describe the diversity of the microbial community associated with the root, rhizosphere and leaf of each accession. Preliminary results indicate that while there was limited difference in microbial communities among accessions, plant compartment appears to have an important effect on structuring the microbial community across accessions. 39¡¢Isolating a Gene that Suppresses Stem Rust Resistance in Wheat Colin W. Hiebert Agriculture and Agri-Food Canada Stem rust, caused by Puccinia graminis f.sp. tritici ( Pgt ), is an important disease of wheat that can be controlled by developing cultivars that carry effective resistance genes. However, as the pathogen evolves virulence, new resistance must be identified and deployed. Previously, a gene on chromosome arm 7DL was described that suppresses resistance to some races of Pgt in the cultivar Canthatch. When the suppressor is knocked-out by mutagenesis resistance is expressed that is normally silenced. Our goals were to map and isolate the suppressor gene, SuSr-D1 . Two EMS-induced mutants, NS1 and NS2, were each crossed to Thatcher, the recurrent parent of Canthatch, and two doubled haploid (DH) mapping populations were generated. The DH populations were phenotyped with Pgt race QTHJC at the seedling stage. Chromosome 7D was isolated from wild-type and mutant stocks by flow cytometry and then sequenced using Illumina technology. Sequences were assembled and SNVs were called between wild-type and mutant contigs. SNVs and SuSr-D1 were mapped in DH populations to define a physical region for detailed bioinformatic analysis. A single gene was found to have nonsense mutations in NS1 and NS2 that also co-segregated with the SuSr-D1 phenotype. Sequencing an additional five independent mutants showed the same gene carried a nonsense mutation in each instance. SuSr1-D1 encodes a subunit of the Mediator complex, which plays a key role in regulating transcription of protein-coding genes. 40¡¢Speed GS: Accelerating Genetic Gain in Wheat Ben Hayes University of Queensland The genetic improvement of modern wheat varieties has been very successful. However annual yield increases need to be doubled over the next few decades and the global production trends in all major wheat growing regions indicate a yield plateau. To overcome this, innovative strategies that efficiently integrate modern technologies in breeding programs are required. Using simulations based on real wheat data sets, we demonstrate how genomic selection and ¡°speed breeding¡±, a novel rapid generation advancement technology, can be combined to substantially reduce the length of the breeding cycle and maximise genetic gain per unit time. We outline the opportunities and challenges associated with the fusion of these breeding tools and reinforce the importance of integrating novel genetic diversity in breeding programs to achieve sustainable long-term genetic gain. 41¡¢Wheat Mutants with Reduced Puccinia triticina Infection John Fellers USDA ARS Wheat and Puccinia triticina , the fungus causing leaf rust, have a biotrophic relationship that has evolved over time. After a urediniospore lands on the leaf, it will germinate, form an appresoria over the stomate, insert a hyphal tube, find a mesophyll cell, and produces a haustoria which invaginates the host cell plasma membrane. The haustoria will begin to secrete effectors garnering host nutrients, squelching host defenses, and will entice host enzymes and pathways to work for the fungus. Recent cloning of broad-spectrum resistance genes suggests that stable resistance may be found by upsetting the biotrophic interaction between rust and wheat. To identify wheat genes needed by the pathogen, EMS was used to mutate the spring cultivar Thatcher. M2 lines were screened with P. triticina race BBBD, and lines were identified with a reduction in rust infectivity. Lines were taken to the M6 and evaluated in the field under natural, mixed race infections, and 25 lines were identified. Phenotypes included little or no pustules, race specific-like resistance, or reduction in pustule size. These lines were backcrossed to Thatcher and resistant and susceptible F2 lines were pooled and their RNA and DNA sequenced. Phenotypes segregated in a manor consistent with a single recessive gene. Comparisons back to the wheat genome will be made and genes will be identified and reported that are associated with the traits. 42¡¢Cytogenetic Analysis of Karyotypically Unstable Perennial Wheat Amphiploid Breeding Lines Matthew Arterburn Washburn University Perennial wheat breeding lines are amphiploids generated by wide hybridization of annual hexaploid bread wheat ( Triticum aestivum , 2n = 6x = 42, AABBDD) with perennial wheatgrass species such as tall wheatgrass ( Thinopyrum elongatum , 2n = 14, EeEe) and intermediate wheatgrass ( Thinopyrum intermedium , 2n = 6x = 42, EeEeEeEeStSt) and doubling chromosome content with colchicine. This process mimics polyploidization events that have occurred throughout evolutionary history in the plant tribe Triticeae. Such lines demonstrate a perennial habit and are useful in sustainable agriculture systems. Post-hybridization generations of these lines exhibit considerable karyotypic instability, and chromosome loss results. Similarly, when perennial wheat amphiploids are crossed to other wheat cultivars as part of breeding strategies, subsequent generations experience considerable chromosome number variation. To characterize chromosome behavior in early and late generations after amphiploid crosses, and to distinguish perennial wheat breeding lines with promising agronomic characteristics, we performed cytogenetic analysis on 38 lines selected from multiple generations (F1 through F6) after initial crosses involving wheat and various wild perennial wheatgrass species from the Thinopyrum genus. We used genomic in situ hybridization (GISH) to identify the genome origins of the chromosomes present. Among the various lines analyzed, chromosome numbers ranged from 43 to 70, with GISH analysis indicating great variation among the alien chromosomes. Chromosomal aberrations were evident in a number of lines, including telosomes and translocations between wheat and the alien chromosomes. We also employed molecular marker analysis, using cleaved amplified polymorphic sequence (CAPS) markers, to help specifically identify alien chromosomes present. 43¡¢Detoxification of Deoxynivalenol and Resistance to FHB : From the Model Cereal Species Brachypodium distachyon to Bread Wheat Miriam Gatti Institute of Plant Sciences Paris-Saclay Fusarium head blight (FHB) caused by fungi of the Fusarium genus is a widespread disease of wheat ( Triticum aestivum ) and other small-grain cereal crops. The main causal agent of FHB, Fusarium graminearum , can produce mycotoxins belonging to type B trichothecenes, such as deoxynivalenol (DON) that can negatively affect humans, animals and plants. Several quantitative trait loci (QTLs) for resistance to FHB have been identified some of which have been correlated with efficient DON detoxification, through the conjugation of DON into DON-3- O -glucose (D3G), a reaction catalyzed by UDP-glucosyltransferases (UGTs). Nevertheless, only few studies have conducted functional analyses to directly correlate DON glucosylation and resistance in planta and none were performed on wheat UGT gene(s). The search for UGT candidates able to conjugate DON into DON 3- 0- glucoside (D3G) in the cereal model species Brachypodium distachyon resulted in the identification of the Bradi5g03300 gene. Functional analyses of this gene showed increased sensitivity of the mutant lines to the toxin and to F. graminearum . Furthermore, lines overexpressing this gene showed a tolerance to the toxin and quantitative resistance to the fungal pathogen. These results were positively correlated with the detection of increased amounts of D3G, further reinforcing the ability of the B. distachyon *to conjugate DON *in planta . Using a synteny approach between B. distachyon and bread wheat genomes we identified a wheat locus carrying wheat genes orthologous to the B. distachyon Bradi5g03300 gene. One homeolog was selected as the best ortholog by examining the gene expression pattern during wheat infection. It was therefore introduced by transformation into B. distachyon to rapidly determine its ability to conjugate DON into D3G *in planta *and its involvement in FHB resistance. These results contribute to increase the knowledge concerning the functional relationship between DON glucosylation and FHB resistance in different cereal species and provide candidate genes to include in selection processes in wheat. 44¡¢Development of a Genome-Wide ChIP Derived Reference Epigenomes in Durum Wheat Mayavan Subramani Delaware State University Modifications in histones regulate gene expression by relaxing or condensing chromatin. Histone modifications play an important role in plant development and stress response. Very few studies of epigenome have been performed in wheat. The objective of this study is to serve as a blueprint for examining epigenomic regulation involved in developmental stages and stress responses in wheat using the ChIP-seq assay. The goal of our research is to produce a ChIP reference epigenome derived from tetraploid wheat. In this work, we have developed protocols for ChIP-DNA isolation from three tissues -leaf, head, and root of the durum wheat cultivar ¡®Langdon¡¯ to detect spatial variances in histone modification H3K4me3 (trimethylation of lysine 4 on the histone H3 protein). Strategies and statistics of read alignment will be summarized and provided as a guideline for future studies. Peak regions with H3K4me3 will be identified and characterized. Differential modification regions of H3K4me3 among different tissues will be extracted. The genes that are close to differential modification regions will be investigated to see whether these genes can explain the differences in these developmental stages. With these results, we will be able to better understand gene activation or repression in relation to this specific histone mark, paving the way for us to examine genome-wide gene regulation in wheat. 45¡¢Wheat WRKY Gene TaWRKY51 Plays Positive Roles in Drought Stress Zhaorong Hu China Agricultural University WRKY-type transcription factors are involved in multiple aspects of plant growth, development and stress response. WRKY genes have been found to be responsive to abiotic stresses; however, their roles in abiotic stress tolerance are largely unknown especially in crops. Wheat ( Triticum aestivum *L.) is one of the major crops largely cultivated and consumed all over the world. The molecular mechanism of the abiotic stress response in wheat is largely unclear. We previously identified multiple stress responsive WRKY genes from wheat. Here, we further characterized the roles of one of these genes, *TaWRKY51 , in abiotic stress tolerance. TaWRKY51 expression was increased by various abiotic stresses. Over-expression and RNAi analysis demonstrated that TaWRKY51 *improves drought tolerance in transgenic wheat lines. Measurement of physiological parameters, including chlorophyll and proline contents, supported this conclusion. TaWRKY51 enhanced expressions of *NCEDs and DREBs *genes. TaWRKY51 protein may regulate the downstream genes through direct binding to the gene promoter or via indirect mechanism. Manipulation of *TaWRKY51 in wheat or other crops should improve their performance under drought stress conditions. 46¡¢Genome-Wide Association Mapping Reveals Major Genomic Regions for Grain Zinc Concentration in Wheat Govindan Velu CIMMYT Bread wheat is a major staple providing 20% of dietary energy and major source of protein and essential micronutrients such as iron (Fe) and zinc (Zn) for world¡¯s population. About two billion people are deficient in some essential micronutrients, including the Zn and Fe deficiency. The magnitude of Fe and Zn deficiency is particularly severe among children and women. To close nutrition gaps in rural households of remote areas, development and dissemination of high-yielding and nutrient-rich wheat varieties offers a cost-effective and sustainable solution. Breeding for enhanced Zn concentration in wheat was initiated by crossing high Zn progenitors such as synthetic hexaploid wheats, T. dicoccum, T. spelta and landraces. These crosses have resulted in several wheat varieties with competitive yields and enhanced grain Zn which were adapted by thousands of small-holder farmers in South Asia and Africa. Here we report one of our genome-wide association studies (GWAS) using the wheat 90K genotyping assay, characterized in 330 bread wheat cultivars. The diverse HarvestPlus Association Mapping (HPAM) panel was phenotyped in a range of environments in India and in Mexico. The GWAS analysis revealed more than 30 marker-trait associations (MTA) for grain Zn in wheat. Interestingly two large effect QTL regions were found on 2 and 7 chromosome groups. Moreover, 3 to 4 known candidate genes associated with Zn homeostasis and metal transporter genes were mapped near these QTL regions. The markers and associated candidate genes identified in this study are being validated in new biparental mapping populations and breeding materials. 47¡¢Allelic Contributions of TaPHS1 and TaMKK3 to Pre-Harvest Sprouting Resistance in Montana Spring and Winter Wheats Justin Vetch Montana State University Pre-harvest sprouting (PHS) is the precocious germination of grain prior to harvest which negatively impacts seed and end use quality. PHS is evaluated in two ways: visual inspection or the falling number (FN) test. A low FN value denotes starch degradation caused by PHS. This negatively impacts producer prices resulting in global losses of up to $1 billion per year. Thus, identifying wheat varieties which are PHS resistant is important. The first goal of our project was to screen Montana wheat varieties for FN and PHS tolerance. Our second goal is to investigate the contribution of allelic variation in the TaPHS1 and TaMKK3 genes which have been reported to be associated with PHS. A PHS screening method was developed and used to screen ~50 Montana grown spring and winter wheat varieties. During the PHS screening, high variability in PHS was observed in both spring and winter wheat varieties. Among MT grown winter wheats, TaPHS1 allelic variation was associated with significant PHS variation. MT grown spring wheats did not vary for the previously reported TaPHS1 resistant and susceptible alleles. Both spring and winter wheats varied for TaMKK3 alleles with those carrying the resistant allele trending lower in PHS. We hypothesize that there is unpublished allelic variation in TaPHS1 contributing to PHS variation in MT spring wheats and we are currently identifying additional TaPHS1 sequence variants. The results of this study will be used to develop PHS resistant spring and winter wheat varieties adapted to Montana. 48¡¢Unique Sources of Resistance to Fusarium Head Blight for Durum Wheat George Fedak Agriculture and Agri-Food Canada There was a major epidemic of FHB in the durum wheat crop in Canada in 2016. There is not as much variability for FHB resistance in the primary gene pool of T. durum as there is in bread wheat. In a recent screening of synthetic hexaploids and their parents for FHB resistance by point inoculation, a number of T. dicoccon accessions appeared to have enhanced levels of FHB resistance. The floret infection frequencies ranged from 10-12% while the values for Langdon durum were 73%. These inoculations were repeated for a second time with similar results. The T. dicoccon accessions were accessed from various gene banks. Records indicate that some of these accessions were collected in Russia and Georgia in the 1930s by N. I. Vavilov and deposited in the genebanks. As would be expected from T. dicoccon accessions collected in the wild, some are deficient in useful agronomic traits. For example some are very tall and others have smaller spikes. However such traits could easily be removed by a few backcrosses so as to minimize any linked drag. On the other hand other accessions had very large seeds, a trait that could be an asset to a breeding program. Another potential source of FHB resistance for durum wheat is that found in the amphiploid Triticum durum x Hordeum chilense with the genomes AABBHH. This source of resistance will be more difficult to integrate into durum wheat. 49¡¢QTL Mapping of Flag Leaf-Related Traits in Wheat ( Triticum aestivum L.) Jinkun Du China Agricultural University This study aimed to advance our understanding of the genetic mechanisms underlying morphological traits of the flag leaves of wheat ( Triticum aestivum L.). A recombinant inbred line (RIL) population derived from ND3331 and the Tibetan semi-wild wheat Zang1817 was used to identify quantitative trait loci (QTL) controlling flag leaf length (FLL), flag leaf width (FLW), flag leaf area (FLA) and flag leaf angle (FLANG). Using an available high-density simple sequence repeat (SSR) genetic linkage map, 24 putative QTL for FLL, FLW, FLA, and FLANG were detected on chromosomes 1B, 2B, 3A, 3D, 4B, 5A, 6B, 7B, and 7D. Individual QTL explained 4.2¨C68.52% of the phenotypic variance in different environments. Four QTL for FLL, two for FLW, four for FLA and five for FLANG were detected in at least two environments. Eighteen QTL for flag leaf-related traits originated from ND3331 alleles, and six originated from Zang1817 alleles. QTL with pleiotropic effects or multiple linked QTL were also identified on chromosomes 1B, 4B, and 5A; these are potential target regions for fine mapping and marker-assisted selection in wheat breeding programs. 50¡¢Identifying Novel Genetic Sources for FHB Resistance in Ontario Wheat Harwinder Singh Sidhu University of Guelph Fusarium head blight (FHB) caused by Fusarium graminearum is one of the most detrimental diseases of wheat ( Triticum aestivum L.). Reduced yield due to fusarium damaged kernels and mycotoxin contamination causes significant economic loss. Inadequate disease control strategies render breeding for FHB resistant wheat varieties as a favorable approach. The objective of this research is to identify the genomic regions associated with FHB resistance in a Canadian Winter Wheat Diversity Panel (n=450) and develop genomic selection models for FHB resistance breeding. The diversity panel was phenotyped in two FHB nurseries in Ontario, in 2017. The disease incidence ranged from 10% to 100% with an average of 65%. Disease severity ranged from 7% to 100% with an average of 25% 21 days after inoculation. The diversity panel was genotyped using the 90K Illumina iSelect chip, which provided dense coverage for all chromosomes with more than 50K markers. Phylogenetic trees, Principal Component Analysis, and STRUCTURE analysis alluded to the presence of population structure in the panel. Genome-wide association studies, following correction for population structure, identified a genomic region on chromosome 5A (698 mbp, maf 0.43) associated with FHB severity, in addition to other suggestive QTLs in multiple chromosomes. This research is expected to further the development of a source wheat germplasm as well as optimizing a genomic selection breeding strategy for FHB resistance breeding. 51¡¢Genome-Wide Association Mapping of Phenotype Traits Related to Phosphorus Use Efficiency in Synthetic Hexaploid Wheat Emily K. Gordon University of Guelph Phosphorus (P) is a non-renewable macronutrient required for many plant processes, where P fertilizer uptake rates are typically 30% of what is applied. Not only are current application rates unsustainable, fertilizer application from agriculture production is a major source of P loading into water bodies around the world. Breeding for more P efficient crops may improve the P balance efficiency of the entire cropping system by preventing dissolved P from being lost, exported and accumulated in the field. As a major cereal crop worldwide, wheat ( Triticum aestivum L.) yields must continue to increase in order to meet expected food demands under lower P inputs. Wheat has the potential to be improved in terms of its genetic diversity for P use efficiency. To investigate this, a panel of 194 synthetic hexaploid wheat (SHW) derived accessions from the International Maize and Wheat Improvement Centre (CIMMYT) were genotyped with the Illumina iSelect 90k single nucleotide polymorphism (SNP) chip and phenotyped under 0 and 60 kg P ha-1 in three trials over two years in Ontario, Canada. We identified genomic regions on chromosomes 2B and 5B associated with yield under high P. Additionally, a region on chromosome 3B showed association with P deficiency tolerance. Further identification of genomic regions associated with the phenotypic traits analysized in this study will be presented. 52¡¢A Tailored Quantitative Genetic Framework Reveals the Important Role of Epistatic Effects for Grain Yield Heterosis Yong Jiang Leibniz Institute of Plant Genetics and Crop Plant Research Increasing wheat yield is a key global challenge to produce sufficient food for a growing human population. Wheat grain yield can be boosted by exploiting heterosis, the superior performance of hybrids over the midparent values. Here we present a tailored quantitative genetic framework to study the genetic basis of midparent heterosis in hybrid populations based on crosses among diverse parents and applied it to a particularly extensive dataset assembled for winter wheat. Grain yield was assessed for 1,604 hybrids and their 135 parental elite breeding lines in 11 environments. The hybrids outperformed on average the midparent values by 10%. This equals approximately fifteen years of breeding progress in wheat, thus further substantiating the remarkable potential of hybrid wheat breeding. Genome-wide prediction and association mapping implemented based on the developed quantitative genetic framework revealed that dominance effects played a less prominent role than epistatic effects for grain yield heterosis in wheat. 53¡¢Genetic Mapping of Leaf Rust Resistance in the Tetraploid Wheat Cross Strongfield/Blackbird Xiangyu Pei University of Manitoba Leaf rust, caused by Puccinia triticina *Eriks. ( Pt ), is an economically important disease of wheat worldwide. Deploying wheat cultivars with effective leaf rust resistance (Lr) genes is an efficient method for disease management. The genetic basis of leaf rust resistance was studied a doubled haploid (DH) population of the cross Strongfield/Blackbird. Strongfield is a widely grown durum wheat variety ( Triticum turgidum* var. durum *L.; genome AABB) in Canada, which was developed at Agriculture and Agri-Food Canada, Swift Current. Strongfield is highly resistant to *Pt in Canada. Blackbird ( Triticum carthlicum ; genome AABB) is susceptible to Pt at the seedling stage but possesses partial adult plant resistance. The genetic basis of leaf rust resistance was studied in a doubled haploid (DH) population of the cross Strongfield/Blackbird which was previously genotyped with SSR markers and the 90K wheat Infinium SNP array. Four QTLs were found on chromosomes 1B, 2B, 3A, and 3B based analysis of leaf rust reaction from inoculated field nurseries in 2016 and 2017. This population was then screened for leaf rust resistance with multiple races at the seedling stage indoors . One Lr gene was identified on chromosome 3A, mapping to the same location as the 3A QTL detected with the field leaf rust data. 54¡¢Deciphering Structural Variations in the Wheat Genome Using Resequencing Data Romain De Oliveira INRA GDEC Structural variations (SVs) such as copy number and presence-absence variations (CNVs, PAVs) are polymorphisms that are known to be involved in the expression of phenotypes. In the absence of a reference genome sequence, their study has long been hampered in wheat. The recent advent of new wheat genomic resources has led to a paradigm shift, making possible to investigate the extent of SVs among cultivated and wild populations. Our project aims at characterizing SVs in a Triticeae diversity panel of 44 accessions from seven tetraploid and hexaploid Triticeae species. To cope with the wheat genome complexity, we developed strategies combining shotgun sequencing of sorted chromosomes 3B with bioinformatics tools and we studied SVs affecting not only genes but also transposable elements (TEs). Our results show that 14% of the genes are variable within this panel. In addition, they reveal a very high level of intra- and interspecific variability affecting TEs, contrasting with the weak polymorphism rate usually reported with SNPs. Chromosomal extremities are the regions where we see most of the variability, confirming previous hypotheses made when comparing wheat with the other grasses. 55¡¢Diversity of Responses of Wheat to Heat Stress as Revealed by Grain Transcriptome Profiling Parimalan Rangan ICAR Adapting major crops to climate change requires an understanding of the influence of temperature on plant performance. Wheat is a crop that often matures in a warming environment and is prone to heat stress especially late in the growth of the crop. We have examined the impact of heat stress at mid and late seed development using the transcriptome of the developing wheat grain. Genotypes displayed remarkable diversity in response at the transcript level and in the associated impact on grain size and yield. Genotypes also displayed differences in the timing of susceptibility to heat stress. Short periods of heat stress and longer periods of continuous high temperatures may require different genetic adaptation. Higher temperatures are likely to impact not only on wheat productivity but also on the composition of the wheat grain. This has implications for both the functional (especially end use quality) and nutritional quality of the grain. However, these studies suggest significant potential to select genotypes that are better adapted to heat stress and provide a better understanding of the genetic basis of heat stress tolerance. 56¡¢Hi-C and Chromosome-Scale Assembly to Detect Large Chromosomal Rearrangements in Wheat Genomes C¨¦cile Monat Leibniz Institute of Plant Genetics and Crop Plant Research High-quality sequence assemblies of multiple individuals have emerged as important tools towards a deeper understanding of the full diversity within a species. The comprehensive and robust assessment of the different type of variation based on sequence assemblies can only be achieved through the collection of genome-wide sequence data with complementary technologies that retain information about physical linkage between sequence fragments. In the context of the Wheat Ten plus Genomes Project, in which we are assembling at pseudomolecules level wheat genomes with the final goal to get on overview of the wheat pan-genome, we are studying structural variation in bread wheat ( Triticum aestivum L.). We have developed a pipeline to use chromosome capture (Hi-C) sequencing data to construct chromosome-scale sequence assemblies. Hi-C uses three-dimensional contact probabilities of chromatin in the nucleus to reconstruct the linear order of sequence scaffolds. The first step of our pipeline is the alignment of Hi-C data to a genetically anchored sequence assembly. Subsequently, residual misassemblies are detected and corrected and chromosome-scale physical genome maps are constructed from Hi-C contact matrices. Here, we present the outcome of this computational pipeline for three wheat cultivars. Highly contiguous sequence assemblies of three wheat genomes with scaffold N50 values 10 Mb were constructed using the DeNovoMAGIC™ technology (NRGene, Ness Ziona, Israel) from paired-end and mate-pair Illumina data as well 10X Chromium linked-reads. These assemblies were ordered into 21 pseudomolecules representing 95 % of the genome using Hi-C. Sequence alignments and Hi-C contact matrices revealed megabase-scale chromosomal rearrangements between cultivars such as inversions and inter-chromosomal translocations. 57¡¢Characterization of Meiosis and the Pairing Homoeologous 1 ( Ph1 ) Locus in Wheat Sateesh Kagale National Research Council Canada Meiotic recombination between related but diverged sequences (homoeologous recombination) influences genome stability in polyploid crop species and the ability to introgress desirable traits through inter-specific crosses. Disruption of genetic barriers, such as sequence divergence and strict regulation of chromosome pairing, is the key to enable ¡®genetic accessibility¡¯ of natural variation and introgression of favorable traits from related or wild species into polyploid crops. In wheat, a single locus on Chromosome 5B known as Ph1 ( pairing homoeologous 1 ) controls orderly pairing of homologous chromosomes during meiosis. A Ph1 deficient stock in Chinese Spring (CS- Ph1b ) produced through radiation treatment has been used for inducing homoeologous recombination between wheat chromosomes and their alien homoeologues. Using the reference genome sequence of wheat and RNA sequencing of meiocytes from CS and Cs- Ph1b , we have identified the complete repertoire of genes in the Ph1 locus region. Comprehensive structural and expression analysis of these genes suggest Ph1 is a complex locus carrying multiple candidate genes with redundant functions. These findings along with our efforts towards (1) characterizing gene regulatory networks that are specifically involved in complex chromosome pairing behavior and subsequent recombination initiation during meiosis in wheat, (2) suppression of Ph1 through mutagenesis in an elite wheat cultivar, and (3) developing pollen based single cell genomic sequencing approach for monitoring recombination frequency in F1 wheat plants will be discussed. 58¡¢Vitamin A Biofortification of Wheat Grains using a TILLING Mutant-Based Approach Shu Yu University of California, Davis Vitamin A deficiency (VAD) has been widely recognized as a major public health problem in many parts of the world. While wheat provides about 20% of dietary calories and proteins worldwide, wheat grains (particularly endosperm/flour) are generally low in vitamins (e.g. provitamin A) and minerals. We are breeding for increased accumulation of beta-carotene, a provitamin A molecule, in tetraploid wheat grain endosperm using induced mutations. Our spatial gene expression analysis indicated that specific carotenoid metabolic gene homoeologs are involved in beta-carotene accumulation in wheat grain endosperm. We have also isolated Targeting Induced Local Lesions in Genomes (TILLING) mutants of the carotenoid metabolic gene homoeologs. Building upon the molecular knowledge and the genetic resources, we are currently determining the contribution of the key carotenoid metabolic gene homoeologs, singly and in combination, to beta-carotene accumulation in the endosperm using TILLING mutants. Our results on gene expression analysis and progress on mutant identification and characterization will be presented. 59¡¢TaZIM1, a Major QTL and Novel Negative Regulator of Heading Date and Kernel Weight, Experienced Strong Selection during Wheat Breeding Xueyong Zhang Institute of Crop Sciences, Chinese Academy of Agricultural Sciences Heading date is a critical determinant of regional adaptation for crops and it has a significant impact on crop yield. We identified an atypical GATA-like transcription factor,* TaZIM1* as a negative regulator of wheat heading. We showed that TaZIM1 possesses a weak transcription repression activity and its CCT domain functions as the major inhibitory region. Expression of TaZIM1 demonstrated a typical circadian clock oscillation pattern under different illumination conditions. Overexpression of TaZIM1 *in wheat causes a delay in the heading date and a decrease of thousand kernel weight (TKW) under long-day conditions. Moreover, TaZIM1 can directly bind to the promoters of *TaCO1 and TaFT and down-regulate their expression. Sequence analysis of common wheat cultivar collection identified three and two haplotypes for TaZIM1-7A and TaZIM1-7B , respectively. Association analysis revealed that TaZIM1-7A-HapI/Hap-III and TaZIM1-7B-HapI have undergone strong positive selection during modern breeding probably due to their association with earlier heading and higher TKW. We developed diagnostic markers for these haplotypes, which can be utilized in further improvement of wheat cultivars via marker-assisted breeding. 60¡¢Leveraging the Tetraploid Wheat Genomes for Cloning Cdu-B1 , a Major Gene for Cd Accumulation in Durum Wheat Grain Sean Walkowiak University of Saskatchewan Cadmium (Cd) accumulation in the grain of durum wheat presents a serious concern for human health. As a result, durum wheat breeding programs select for low grain Cd. Differences in Cd accumulation among cultivars of durum wheat are attributed to the major-effect gene Cdu-B1 located on chromosome 5B. The objective of this study was to identify the functional determinant of Cdu-B1 . The fine mapped interval for Cdu-B1 was anchored to the complete genome sequences of the durum cultivar ¡®Svevo¡¯ (a high Cd accumulator) and the wild emmer wheat accession ¡®Zavitan¡¯ (a low Cd accumulator). A sequence comparison of Cdu-B1 between Svevo and Zavitan revealed a gene candidate, HMA3-B1 . This gene encodes a P1B-ATPase transition metal transporter and contains a 17 bp duplication in the first exon in Svevo relative to the wild-type allele in Zavitan. A molecular marker for the 17 bp duplication was used to evaluate a diverse set of breeding lines from global breeding programs and was able to identify low and high Cd accumulators with perfect precision. Furthermore, functional assays using yeast expression systems confirm a role for the wild-type HMA3-B1 gene in regulating Cd accumulation in grain by mediating vacuolar Cd sequestration. In addition, the 17 bp duplication allele present in high Cd genotypes was non-functional. The molecular marker developed from this work is currently deployed in global breeding programs to develop wheat lines with low grain Cd.
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1 The Reference Sequence for the Bread Wheat Genome Frederic Choulet INRA GDEC The generation of a high-quality reference genome sequence for bread wheat, linked to genetic and genomic resources, has been the goal of the International Wheat Genome Sequencing Consortium (IWGSC) since its foundation in 2005. Here, we report on the assembly and deep analysis of the 21 chromosomes of the allohexaploid bread wheat cv. Chinese Spring: IWGSC RefSeq v1.0. We used an Illumina-based whole genome shotgun approach integrated with a wealth of community resources and were able to assemble 21 high-quality pseudomolecules representing 94% of the predicted wheat genome size, with a scaffold N50 of 23 Mb. We predicted 107,886 high confidence gene models and ~4 million transposable elements accounting for 85% of the genome. Comparative analyses of the A-B-D sub-genomes revealed no subgenome dominance, and a highly conserved gene set although only 55% of the homeologous groups correspond to 1:1:1 triplets, meaning that A-B-D have been strongly impacted by lineage-specific gene duplications. Insights into gene expression have been described through a transcriptome atlas developed from 850 RNASeq datasets representing all stages of wheat phenological development. With a sequence assembly that now supports the resolution of complex gene families associated with important traits, the community now has a key resource in place for future research and breeding. 2¡¢Characterisation of the Pentatricopeptide Repeat Protein Family in the Wheat IWGSC Refseq v1.0 Reference Genome Joanna Melonek The University of Western Australia The family of pentatricopeptide repeat (PPR) proteins is one of the largest gene families in flowering plants and has agronomical importance as a source of restorer of fertility (Rf) genes used to suppress cytoplasmic male sterility during the development of F1 hybrids. Typically, flowering plant genomes contain 550-700 PPR genes, in the wheat IWGSC RefSeq v1.0 reference genome we found 1686 PPRs. The large number of PPR genes is primarily due to polyploidy and it¡¯s actually lower than expected from simply adding genes present in the progenitor diploid genomes. This implies PPR gene inactivation and loss during polyploidization, for which we found evidence in the form of truncated or frame-shifted gene fragments. 207 PPRs were identified as restorer of fertility-like (RFL) genes in the wheat reference genome, far more than in any other plant genome analysed to date. We show that locations of some of the previously mapped restorer genes overlap with the genomic locations of RFL clusters identified in our study. This is the first comprehensive analysis of the PPR and RFL families in wheat. The sequence knowledge gained from this project has the potential to accelerate hybrid wheat breeding programs by facilitating the identification of active restorer genes in potential restorer lines. Hybrid wheat varieties are expected to have higher and more consistent yields by better adaptation to increasingly unpredictable weather conditions in the era of global climate change. 3¡¢Map-Based Cloning of Powdery Mildew Resistance QTL Introgressed to Bread Wheat from the Timopheevi Group Reveals a Highly Divergent Region with Suppressed Recombination containing a Cluster of NLR Gene Homologues Miroslav Val¨¢rik Institute of Experimental Botany Introgression of QPm.tut-4A locus from Triticum militinae into the distal end of bread wheat chromosome 4AL confers improved resistance against powdery mildew. The locus was high-density mapped and delimited to 0.024 cM using 8327 individuals and 75 markers. Using additional 2052 ph1 *lines seven new recombinations were identified. After chromosome walking, final flanking markers *owm169 *and *owm228 were mapped and the region was found 640.8 kbp and 480.2 kbp long in cv. Chinese Spring (CS) and *T. militinae *(TM), respectively. The cM/Mb ratio is much smaller compared to these commonly found at the end of wheat chromosomes. The sequenced region was annotated and 16 and 12 protein coding genes were identified in CS and TM, respectively. Out of them, seven CS and six TM genes were not syntenic. Furthermore, intergenic regions do not show a significant similarity between CS and TM. The TM region containing the remaining six genes has a syntenic counterpart in CS, but that region was duplicated and one of the duplications was inverted. The duplication and inversion were accompanied by gene loss and four of the TM genes have their counterparts in both duplicated regions in CS. Finally, three genes from the CS region do not have their homologs in the TM region. These structural and sequence differences are major reasons for the discrepancy between the expected and observed cM/Mb ratio. This work was supported by award LO1204 from the National Program of Sustainability I and by the Estonian Ministry of Agriculture. 4¡¢Hunting Yellow Rust Resistance Genes in Bread Wheat Clemence Marchal John Innes Centre Achieving wheat yields to meet current and future demands is crucial. This, however, remains challenging in part due to the numerous pathogens threatening wheat production, including yellow (stripe) rust ( Puccinia striiformis fsp tritici; Pst ). Despite over 70 designated yellow rust resistance genes (Yr) in wheat, few have been cloned. This lack of knowledge hinders efficient marker assisted breeding and exploitation of novel allelic variation. We recently exome sequenced a mutant population of UK cultivar Cadenza which carries the major gene Yr7 . Screening 1,000 mutagenized individuals with Pst identified seven susceptible lines presumed to carry mutations in Yr7 . To test this, mutational resistance gene enrichment sequencing (MutRenSeq) was conducted on the susceptible lines and a candidate for Yr7 was identified. Taking advantage of the IWGSC RefSeqv1.0 assembly, we quickly determined the physical position of the closest Chinese Spring homolog within the Yr7 region and confirmed this linkage in an F2 population. Previously, Yr5 was proposed to be allelic to Yr7 . Therefore, a similar approach was carried out on Yr5 susceptible mutants and a single candidate gene, different from Yr7 , was identified. The Yr5 homolog is located in close physical proximity to Yr7 on IWGSC RefSeqv1.0. This suggests that Yr5 and Yr7 are very closely linked genes rather than true alleles. The closest homologs to both Yr7 and Yr5 reside in a complex disease resistance cluster in RefSeqv1.0. We will present a phylogenetic analysis of this resistance gene cluster in Chinese Spring and additional commercial varieties and discuss the implications for breeding. 5¡¢Reconstructing Wheat Evolutioanry History Caroline Pont INRA Polyploidization have been reported as a major evolutionary force during plant paleohistory. Following the triplication reported in *Brassiceae *~10 million years ago, and at the basis of rosids ~100 million years ago, bias in organisation and regulation, known as subgenome dominance, has been reported between the three post-polyploidy compartments referenced to as less fractionated (LF), medium fractionated (MF1) and more fractionated (MF2), that have been proposed to derive from an hexaploidization event involving ancestor intermediate of 7-14-21 chromosomes. Modern bread wheat experienced similar paleohistory during the last half million year of evolution opening a new hypothesis where the wheat genome is at the earliest stages on the road of diploidization through subgenome dominance driving asymmetry in gene content, gene expression abundance, transposable element content as dynamics and epigenetic regulation between the A, B and D subgenomes. 6¡¢Tetraploid Wheat Germplasm Diversity SCAN Based on the Durum Wheat Genome Assembly Marco Maccaferri DipSA, Department of Agricultural Science, University of Bologna The genome of modern durum wheat (DW) cultivar Svevo has been assembled based on a combination of whole genome shotgun sequencing (270X), NRGene deNovoMagic assembler, high-resolution genetic mapping obtained from the cross between Svevo DW and Zavitan wild emmer wheat (WEW) and scaffold ordering based on chromosome conformation capture sequencing (Hi-C). The assembly consisted of 9.96 Gb of ordered sequences with 66,559 high-confidence (HC) genes. We used this resource to investigate the genetic diversity and ancestry of tetraploid wheat germplasm. iSelect 90K SNP array was used to genotype a global collection of 1,858 non-redundant accessions covering the whole range of tetraploid genetic resources from WEW, cultivated emmer (CEW), durum landraces (DWL) and modern durum cultivars (DWC). We performed a whole-genome scan for population genetic structure, selective sweeps together with the tetraploid QTLome projection. Average whole-genome genetic diversity were pWEW= 0.285, pCEW = 0.254, pDWL = 0.201, pDWC = 0.192, with an overall WEW-DWC decrease in diversity equal to 32.6%. Diversity depletions were more relevant in peri-centromeric regions (pWEW_C = 0.269, pDWC_C = 0.151) as compared to the highly-recombinogenic distal regions (pWEW_R = 0.287, pDWC_R = 0.250). From WEW to DWC, 68 chromosome regions were subjected to diversity depletion, affecting up to 38% of the genome in total: 19 of these were associated to WEW-CEW transition, 41 to CEW-DWL and 8 to DWL-DWC. The gene content of these regions is being explored in relation to known QTL content and haplotype analysis. Overall, the analysis pointed out the chromosome regions subjected to strong selective sweeps during the domestication and breeding selection, on one side, and those regions that would benefit from targeted genetic diversity restoration on the other side. 7¡¢Exploring Epigenomic Diversity in Polyploid Wheat Laura-Jayne Gardiner Earlham Institute Wheat has been domesticated into a large number of agricultural environments, a key question is what drives the ability for crops to rapidly adapt. To address this question, we survey genotype and DNA methylation across the core Watkins bread wheat landrace collection that is representative of global wheat genetic diversity. We identify independent variation in methylation, genotype and transposon copy number. These three sources of variation are likely to be driving phenotypic differences across this diverse wheat collection. Methylation and transposon diversity could therefore be used alongside single nucleotide polymorphism (SNP) based markers for breeding. 8¡¢Mutations in the Branched Head Homoeo-Allele Bht-B1 Modify Inflorescence Architecture in Tetraploid Wheat Gizaw M Wolde Leib-Inst Plant Gen Crop Plant Res Inflorescence morphology directly affects the reproductive success and yield of crops. The wheat inflorescence, also known as spike, forms an unbranched inflorescence where individual spikelets are arranged distichously on the central axis of the spike, the rachis. Previously, we reported the causative mutation in the branched headt ( bht ) gene of tetraploid wheat ( TtBH-A1 ) being responsible for the loss of spikelet meristem identity, converting the non-branching wheat spike into a branched spike. Since spike-branching in wheat is a quantitatively inherited trait, we further performed whole-genome quantitative trait loci (QTL) analysis and Genome Wide Association Scans (GWAS) based on 146 recombinant inbred lines (RILs) and a collection of 302 tetraploid wheat accessions, respectively. Results showed that besides the previously found gene at the bht-A1 locus on the short arm of chromosome 2A, mutations in the homoeologous gene, TtBH-B1 , was linked to the increased penetrance and expressivity of the supernumerary spikelet (SS) and /or mini-spike formation during spike-branching thereby increasing spikelet and grain number per plant. Furthermore, we developed bht-A1 *Near Isogenic Lines ( bht-A1-*NILs) using an elite durum wheat cultivar, Floradur, for the molecular genetic dissection of the wheat spike morphogenesis and the agronomic implications of the homoeo-allele(s) for increasing grain yield production in wheat. 9¡¢Wheat Leaf Rust Resistance Gene from Marquis Wheat Brent McCallum Agriculture and Agri-Food Canada Marquis wheat, released in 1911, was one of the most widely grown cultivars in Canada and the north-central USA. It was susceptible to all leaf rust ( Puccinia triticina ) isolates tested, up to the emergence of a group of races in the early 2000s, predominantly TDBG. Marquis had an unusual mesothetic resistance phenotype when inoculated with TDBG. To characterize this resistance the Marquis backcross line RL6071was crossed with a leaf rust resistant accession from the Kyoto University wheat germplasm collection KU168-2 to create a doubled haploid population. Seedling resistance from RL6071 was inherited as a single resistance gene that mapped to chromosome 7BL. Tightly linked molecular markers, along with seedling leaf rust testing and pedigree analysis revealed that this gene, temporarily named LrMar , was present in Marquis, Red Fife and a number of cultivars derived from Red Fife, such as White Fife, Percy and Renfrew. The same group of races that were avirulent to LrMar were also avirulent to LrCen , previously mapped to 7AL, with a similar mesothetic infection type. Both genes are only effective against this small group of P. triticina isolates, are ineffective in conditioning field resistance against the broader Canadian population, and neither were detected prior to the emergence of these races. These could be homeologous resistance genes based on their respective positions on chromosomes 7BL and 7AL, and phenotypic similarities. 10¡¢The Genome of Triticum urartu , a Progenitor of Wheat a Genome Hong-Qing Ling Institute of Genetics and Developmental Biology, CAS Triticum urartu , a wild diploid wheat, is the progenitor of the A subgenome of tetraploid and hexaploid wheat. Ample genetic studies have shown the value of T. urartu for investigating the structure, function, and evolution of polyploid wheat genomes. Here, we report the generation of a high-quality genome sequence of T. urartu by combining BAC-by-BAC sequencing, single molecule real-time (SMRT) sequencing, and next-generation mapping (BioNano genome map and 10x Genomics linked reads) technologies. We produced seven chromosome-scale pseudomolecules that spanned 4,666 Mb and annotated 37,516 high confidence and 3,991 low confidence protein-coding genes. By comparing collinear segments between T. urartu and its grass relatives rice, sorghum, and Brachypodium , we propose an evolution model of T. urartu chromosomes, and found that T. urartu and Brachypodium *were independently evolved from the grass ancestor with 12 chromosomes. Furthermore, the ancient genome duplications, which are well maintained in rice, sorghum, and *Brachypodium, were strongly corrupted in T. urartu because of extensive amplifications of transposable elements and widespread gene loss. Overall, the T. urartu genome sequence described here provides a valuable reference for systematic studies of Triticeae genomes and for genetic improvement of wheat. 11¡¢Identification of QTLs Associated with Kernel Texture Variation in a Soft-Kernel Durum Wheat ( Triticum turgidum ssp. durum ) Population Maria Itria Ibba Washington State University Kernel texture is one of the major determinants of wheat quality. This trait is primarily controlled by the Puroindoline genes, located at the Hardness ( Ha ) locus on the short arm of chromosome 5D. However additional factors contribute to minor variations in endosperm texture. Durum wheat ( Triticum turgidum *sbsp. *durum ) lacks the Ha *locus and, therefore, its kernels exhibit an extremely hard texture that limits its end-uses. Recently, the *Puroindoline *genes from the chromosome 5DS of common wheat ( T. aestivum* L.) were introgressed into the durum wheat cultivar Langdon through the Ph1b -mediated homoelogous recombination, thus obtaining soft-textured kernel durum wheat lines. In the present study, soft durum wheat line Langdon 1-678 was crossed with the durum wheat variety Creso. The progeny were analyzed for kernel texture through the single kernel characterization system (SKCS) and only the lines exhibiting a hardness index (HI) 40 were advanced, obtaining 590 soft-textured kernel F6 lines. These lines were phenotyped through SKCS and exhibited a wide variation of kernel hardness (HI ranging from -0.3 to 37). In order to identify the genetic factors associated with variation of this phenotype, the same lines were genotyped using a targeted amplicon sequencing (TAS) approach. The identification of QTLs significantly associated with kernel hardness is in progress. To date, this is the first study to investigate the genetic control at the basis of endosperm texture in durum wheat. These results will facilitate the selection of soft durum wheat lines with superior milling properties and novel end-use applications. 12¡¢Development and Validation of a Single Nucleotide Polymorphic Marker for the Yield Component Kernel Weight in Wheat Santosh Kumar Agriculture and Agri-Food Canada Canada is a major producer and exporter of hard red spring (HRS) wheat. The HRS wheat is well known for its excellent milling and baking quality. With high protein requirement in the HRS class of wheat, it lags in yield compared to other classes of wheat. Yield is of utmost importance to producers and is one of the primary focuses of wheat breeding programs. An important yield component is the thousand kernel weight (TKW) and is highly heritable. Selection for high TKW in early generations of wheat breeding is effective, but is difficult to access phenotypically due to limited seed availability. Marker-assisted selection (MAS) using single nucleotide polymorphisms (SNPs) and insertion-deletion (indels) mutations will allow selection in early generations breeding lines based on genotype. Kompetitive Allele Specific PCR (KASP) assays based on SNPs and indels are high-throughput, easy to use, and requiring limited amounts of DNA. Trehalose-6-phosphate (T6P) is a regulator of starch accumulation, the most important contributor of TKW. Trehalose 6-phosphate phosphatase (T6PP) activity can affect T6P levels, and a wheat T6PP gene has been cloned. This gene was found to be polymorphic in Chinese accessions of wheat using a cleaved amplified polymorphic sequence assay and linked to TKW. Here we developed a much simpler and high-throughput KASP assay and showed that this gene is polymorphic in Canadian wheat germplasm. This should allow selection for TKW in early generations of wheat breeding in Canada. 13¡¢Genome-Wide Homology Analysis Reveals New Insights into the Origin of the Wheat B Genome Wei Zhang North Dakota State University Wheat is a typical allopolyploid with three homoeologous subgenomes (A, B, and D). The ancestors of the subgenomes A and D had been identified, but not for the subgenome B. The goatgrass Aegilops speltoides (genome SS) has been controversially considered a candidate ancestor of the wheat B genome. However, the relationship of the Ae. speltoides S genome with the wheat B genome remains largely obscure, which has puzzled the wheat research community for nearly a century. In the present study, we performed genome-wide homology analysis to assess the B-S relationship using an integrative molecular cytogenetics and comparative genomics approach. Noticeable homology was detected between wheat chromosome 1B and Ae. speltoides chromosome 1S, but not between other chromosomes in the B and S genomes. An Ae. speltoides -originated segment spanning a genomic region of approximately 10.46 Mb was identified on the long arm of chromosome 1B (1BL) in all wheat species containing the B genome. The Ae. speltoides -originated segment on 1BL was found to co-evolve with the rest of the B genome in wheat species. Thereby, we conclude that Ae. speltoides had been involved in the origin of the wheat B genome, but should not be considered an exclusive ancestor of this genome. The wheat B genome might have a polyphyletic origin with multiple ancestors involved, including Ae. speltoides . These findings provide new insight into the origin and evolution of the wheat B genome, and will facilitate genome studies in wheat and its relatives. 14¡¢Comparison of Durum Wheat and Wild Emmer Genomes Provides Insights into Genomic Diversity in Tetraploid Wheat Luigi Cattivelli CREA - Research Centre for Genomics and Bioinformatics The domestication of wild emmer wheat ~10,000 years ago by early agrarian societies led to the selection of modern durum wheat widely grown today, mainly for pasta. We report the fully-assembled genome of a modern durum wheat variety (cv. Svevo) and present, via comparison with the previously published genome of wild emmer accession Zavitan, a genome-wide account of the modifications imposed by 10,000 years of selection and breeding. The durum wheat genome was assembled with the NR-Gene DeNovoMAGICTM pipeline (N50 = 6 Mb) and ordered by chromosome conformation capture sequencing (Hi-C), resulting in 14 pseudomolecules plus one group of unassigned scaffolds. A total of 66,559 high-confidence (HC) genes have been identified on the durum wheat assembly. This first genome-wide comparison between a wild and cultivated form of tetraploid wheat revealed several thousand copy-number and presence-absence variations with significantly expanded gene families in durum wheat (e.g. for disease resistance), as well as of widespread polymorphism with putative impacts on gene function. While the gene sets of durum wheat and wild emmer are highly similar, the compositions of the pseudogene sets differ in both number and enrichment for particular GO categories. Inspection at the pseudogenes in syntenic regions of durum wheat and wild emmer indicates potentially distinct duplication and pseudogenization dynamics. The comparison of the two genomes offers an overall picture of the genomic diversity between the cultivated tetraploid wheat and its wild relative progenitor. 15¡¢Genomic Dissection of Nonhost Resistance to Wheat Stem Rust in Brachypodium distachyon Rafael Della Coletta University of Campinas Wheat stem rust caused by the fungus Puccinia graminis f.sp. tritici ( Pgt ) is a devastating disease that has largely been controlled for decades by the deployment of resistance genes. However, new races of this pathogen have emerged that overcome many important wheat stem rust resistance genes used by breeding programs, and their spread toward major wheat production areas poses a threat to global wheat production. Nonhost resistance in plants, which provides durable and broad-spectrum resistance to non-adapted pathogens, holds great promise for helping to control wheat stem rust, but the genetic and molecular basis of nonhost resistance is poorly understood. This study employed the model plant Brachypodium distachyon (Brachypodium), a nonhost of Pgt , to genetically dissect nonhost resistance to wheat stem rust. Using bulked segregant analysis, next-generation sequencing, cumulative allele frequency differences and statistical analysis, seven quantitative trait loci (QTL) that contribute to stem rust resistance were identified in a recombinant inbred population derived from a cross between two Brachypodium genotypes with differing levels of resistance. The QTL effects vary in their magnitude, and act both additively and in some cases interact, indicating that the resistance is genetically complex. The delineation of regions of the Brachypodium genome that harbor these QTLs will guide future research aiming to identify genes essential to the nonhost resistance response and their mechanisms of action. 16¡¢Development of a Complete Set of Wheat-Barley Group-7 Robertsonian Translocation Chromosomes Conferring an Increased Content of ß-Glucan Tatiana V. Danilova Kansas State University Many valuable genes for agronomic performance, disease resistance and increased yield have been transferred from relative species to wheat ( Triticum aestivum L.) through whole-arm Robertsonian translocations (RobT). Although of a great value, the sets of available translocations from barley ( Hordeum vulgare L.) are limited. Here we present the production of a complete set of six compensating RobT chromosomes involving barley chromosome 7H and three group-7 chromosomes of wheat. The barley group-7 long arm RobTs had a higher grain ß-glucan content compared to the wheat control. The ß-glucan levels varied depending on the temperature and were higher under hot conditions. Implicated in this increase, the barley cellulose synthase-like F6 gene ( CslF6 ) responsible for ß-glucan synthesis was physically mapped near the centromere in the long arm of barley chromosome 7H. Likewise, wheat *CslF6 *homoeologs were mapped near the centromere in the long arms of all group-7 wheat chromosomes. With the set of novel wheat-barley translocations, we demonstrate a valuable increase of ß-glucan, along with a resource of genetic stocks that are likely to carry many other important genes from barley into wheat. 17¡¢Nitrogen Use Efficiency Is Regulated By Interacting Proteins Relevant to Development in Wheat Lei Lei Oklahoma State University Nitrogen (N) is the most important nutrient for plant development and growth, and soil is often supplemented with N fertilizer to ensure successful seed production and high grain yield for non-N-fixing food crops such as wheat ( Triticum aestivum L.). Only 30¨C35% of added N fertilizers are taken up and used by wheat plants in the year of application, and the remaining 65¨C70% (assuming fertilizer¨Csoil equilibrium) is lost. Developing varieties of wheat that require less N input yet maintain the same or higher grain yield is an economically and environmentally sustainable goal in international agriculture. In this study, a major quantitative trait locus (QTL) for N-related agronomic traits was cloned from wheat. The vernalization gene TaVRN-A1 was tightly linked with the gene at the QTL. Due to the Ala180/Val180 substitution, Ta VRN-A1a and Ta VRN-A1b proteins had differential interactions with Ta ANR1 protein, which is encoded by a wheat orthologue of Arabidopsis nitrate regulated 1 ( ANR1 ). A natural mutant of TaANR1 was found which is missing exon 6 in its mRNA, which had genetic effect on wheat development and growth. The transcripts of both TaVRN-A1 and TaANR1 were down-regulated by N. Genetically incorporating favorable alleles from TaVRN-A1 , TaANR1 , and TaHOX1 increased grain yield from 9.83% to 11.58% in a winter wheat population tested in the field. 18¡¢Gene and Trait Discovery for Improvement of Processing and Nutrition Quality in Wheat Anuradha Singh National Institute of Plant Genome Research (NIPGR) Bread wheat (Triticum aestivum L.) is one of the most important food crops in the world, and its flour processed into various end-use food products such as bread, biscuits, and chapatti. The suitability of wheat grains for end-uses are largely affected by the biochemical composition of seeds including storage proteins, starch, and photochemical and hence, it indirectly affects the processing, cooking, and organoleptic qualities of wheat seed. Knowledge of genetics and molecular basis of processing quality related traits are important for their improvement. Thus, the present investigation was designed for the identification of candidate genes related to processing quality through genome-wide transcriptome analysis of wheat during seed development. The study also emphasizes the understanding of expression pattern of starch metabolic genes during seed development and the correlation of variation in physical and biochemical traits of seeds and the physicochemical properties of starches on large sets of Indian wheat varieties. Genome-wide transcriptome study using 61k wheat genome arrays in developing seeds of wheat genotypes identified 110 candidate probe sets for processing quality mainly chapatti. Further, quantitative expressions of the 25 starch metabolic genes, during seed development also identify the highly expressed key genes of starch metabolism, which are candidates for a development of markers for starch quality. Thus, these candidate genes would be useful for designing wheat improvement programs for processing quality or nutrition quality either by changing their expression (over-expression, silencing or genome editing) or development of bi-parental mapping populations for molecular breeding. Further, Physical (kernel length, kernel width and thousand kernel weights), Biochemical (total starch content, amylose content, total protein content and starch granules associated proteins) and Physico-chemical (starch granules size distribution, swelling power, starch solubility, Pasting, thermal, and gelatinization) traits of diverse sets of Indian wheat varieties and starch isolated from them showed strong correlation with each other. The detail analysis of these properties could lead to an appropriate selection of wheat cultivar, well-adapted to industrial end-uses, without encountering processing or end-products quality problems and with most cost-competitive production. 19¡¢Wheat miR9678 Controls Seed Germination By Generating Phased ta-siRNAs and Modulating Abscisic Acid/Gibberellin Signaling Yingyin Yao China Agricultural University Seed germination is important for wheat yield and quality. However, our knowledge of mechanisms regulating seed germination in wheat remains limited. In this study, we found microRNA9678 (miR9678) is specifically expressed in the scutellum of developing and germinating wheat seeds. Overexpression of miR9678 delays germination and improves resistance to pre-harvest sprouting (PHS) in wheat; miR9678 silencing enhances germination rates. miR9678 triggers phased trans-acting small interfering RNAs (ta-siRNAs) by cleaving the long non-coding RNA, and ta-siRNAs also delay seed germination. In addition, miR9678 overexpression also reduces bioactive gibberellin (GA) levels through a ta-siRNAs independent mechanism. Finally, abscisic acid (ABA) signaling proteins bind the promoter of miR9678 precursor and activate its expression, indicating miR9678 regulates germination by modulating the GA/ABA signaling. 20¡¢A Genome Wide Association Study for Yield Traits in Soft Red Winter Wheat Dylan Lee Larkin University of Arkansas Wheat (*Triticum aestivum *L.) is a widely produced grain crop, significantly contributing to global food security. As the global population continues to grow, so will the demand for food. In order to meet such demands, breeders must work to increase wheat yield potential. Wheat yield can be impacted by multiple quantitative traits which rely on several quantitative trait loci (QTL). A genome wide association study (GWAS) was conducted on 360 inbred soft red winter wheat genotypes adapted to the southern United States in an association mapping panel (AMP) in order to identify novel QTL associated with wheat yield traits, including yield, test weight, heading date, maturity date, and plant height. The AMP was grown over eight location-years between 2013 and 2017 in randomized complete block and augmented designs. Each location-year was evaluated for the five aforementioned traits impacting yield. Best linear unbiased estimates for the five traits were obtained from a spatial linear mixed model for each location-year and combined to obtain best linear unbiased predictions from SAS 9.4 software. Genotype-by-sequencing (GBS) identified 71,428 high quality single nucleotide polymorphisms (SNP) markers across all 21 wheat chromosomes. Marker-trait associations will be determined using the FarmCPU function in R software. Data analysis for the five phenotypic traits are still in progress. Marker-trait associations will also be performed in the near future, resulting in potential SNP that can be implemented by the University of Arkansas wheat breeding and genetics program through marker assisted selection or genomic selection in order to improve wheat yield. 21¡¢Exploring Allelic Diversity Underlying Breeding Progress in European Wheat Kai P Voss-Fels The University of Queensland Despite the remarkable successes that were achieved in the history of wheat breeding, future wheat production remains challenging. Climatic changes that lead to unprecedented extreme weather scenarios are accompanied by a rising disease pressure and a declining fertiliser availability. While the dramatic global population growth necessitates a significant further improvement of wheat productivity in the upcoming decades, a stagnation of wheat yield increases has recently been reported in all major production areas worldwide. This has mainly been attributed to a drastic loss of genetic diversity in elite breeding pools due to strong selective breeding and intensive germplasm exchange. At the same time there are public concerns that modern agriculture can only sustain productivity under extremely high resource inputs involving chemical fertilisers and plant protection, while the actual impact of genetic improvements remains elusive. Here, we present the first large-scale investigation of the impact of wheat breeding on all major trait complexes in a historic panel of almost 200 registered European winter wheat varieties, including important representatives of the last five decades of winter wheat production. Presenting phenotype data from multiple locations and three different cropping systems that range from fully extensive to fully intensive, we are able to demonstrate the great impact of genetic improvement on performance increase under any environmental scenario. Linking this to genome-wide marker information we are able to track the influence of artificial selection on genetic parameters throughout the history of wheat breeding and to define target regions with the highest impacts on agronomically important traits. Our study gives first insights into the genetic basis of the improvement of high-yielding winter wheat and assesses the potential for further genetic gain in the European elite germplasm pool in the short- and mid-term 22¡¢Development of Wheat-*Haynaldia villosa *Alien Chromosome Lines and their use in Gene Mining and Wheat Breeding Xiue Wang Nanjing Agricultural University Wild relatives provide rich gene resources for wheat breeding.* Haynaldia villosa (2n=14, genome VV), is a diploid wild species and has proved to be resistant to several wheat diseases, such as powdery mildew, wheat yellow mosaic etc. The development of alien translocation lines conferring useful genes is the most effective way for the utilization of alien genes. In Cytogenetics Institute if Nanjing Agricultural University, a research platform for the induction of alien chromosome structural variation and for effective identification of alien chromatin has been established. A wheat- H. villosa* alien translocation pool was constructed and the their chromosome constitution was characterized. Genes conferring resistances to powdery mildew, wheat yellow mosaic virus, strip rust as well as loci controlling grain quality has been assigned specific regions of H. villosa chromosomes. The whole arm translocation lines carrying useful genes have been released and utilized in breeding programs. Using the T6VS/6AL translocation carrying the powdery mildew resistance gene Pm21 and the strip rust resistance gene Yr26 , about 30 wheat varieties have been developed and commercially released in China. 23¡¢Characterization, Validation, and Deployment of Chromosome 6BL and 7AL QTLs for Grain Yield Components in Hard Winter Wheat Andrew M. Katz Colorado State University The United Nations has estimated that food production will need to double by 2050 to adequately feed a global population of 9 billion people. Improvements in wheat yields, which account for 30% of coarse grain production, will be essential to meet this goal. Yield is a complex trait due to a multitude of influential factors. To address this complexity we have identified individual yield components that are less complex and contribute to overall yield. A GWAS of a hard winter wheat association-mapping panel identified QTLs on the 7AL chromosome arm for spikelet number and the 6BL chromosome arm for kernel width. The Great Plains winter wheat cultivar Platte and experimental line CO940610 were identified as polymorphic in the 7AL and 6BL regions. A population of recombinant inbred lines was generated from the two parents and used to validate the 7AL and 6BL QTLs¡¯ effects. Individual SNPs have been identified which will be used to introgress spikelet number and kernel width QTL into Colorado advanced lines and high biomass lines from the International Maize and Wheat Improvement Center (CIMMYT). Exome sequencing data generated from the parental lines will enable high-resolution mapping of the causative genetic variant underlying these QTL. The employment of novel genomic tools and resources enable unprecedented opportunities to identify allelic variation underlying individual yield components in wheat. This will ultimately aid in the development of higher yielding wheat varieties. 24¡¢Genetic Basis of the Short Life Cycle of ¡®Apogee¡¯ Wheat Carol Powers Oklahoma State University ¡®Apogee¡¯ is a wheat cultivar that was developed for utilization of the NASA-ALSS food system and has the shortest life cycle in wheat in the world, with flowering only 25 days after planting under long day conditions and constant warm temperature without vernalization. This growth habit can be utilized to accelerate breeding cycles. It is intriguing to unravel the genetic mystery of this agronomic characteristic. In this study, Apogee was crossed with a strong winter wheat cultivar ¡®Overland¡¯, and over 800 F2 plants were generated and tested in a greenhouse under temperature and photoperiod controlled conditions. Apogee was found to have vrn-A1a and vrn-D3a that are the same alleles as observed in the winter wheat cultivar ¡®Jagger¡¯, Vrn-B1 that has a deletion in intron one, and PPD-D1b that is insensitive to photoperiod. The super-short life cycle of ¡®Apogee¡¯ wheat resulted from pyramiding of the early alleles for the four flowering time genes, whose effects are vrn-A1 VRN-B1 vrn-D3 PPD-D1 . The dominant vrn-D3a alone was not sufficient to induce the transition from vegetative to reproductive development in winter plants without vernalization, but did accelerate heading in those plants that have been induced by vrn-A1a or Vrn-B1 . This study greatly advanced the molecular understanding of the multiple flowering genes under different genetic backgrounds and provided useful molecular tools that can be used to accelerate winter wheat breeding schemes. 25¡¢Hybrid Wheat from a Practical Breeder¡¯s Perspective P. Stephen Baenziger Department of Agronomy and Horticulture, University of Nebraska-Lincoln Hybrid wheat has proven to be elusive. From its previous highpoint in the 1980s, currently, only a few companies are producing hybrids in Europe, India, and South Africa. However, interest in hybrids has recently increased due to the need for greater and more efficient production to meet the projected future needs coupled with the availability of advanced breeding tools and insights. While most hybrid wheat discussions concentrate on the theoretical or genetic aspects, this talk will present how an applied wheat breeder is trying to make hybrid wheat a reality. Hybrid wheat requires: converting a self-pollinated crop into a cross-pollinated crop, the ability to make experimental hybrids, the use of genome-wide molecular markers and theory to develop genome-based high-yielding heterotic groups and patterns augmented by improved crossing block designs such as balanced incomplete factorial, and a path to commercial hybrid production. Preliminary results indicate that pollinator lines with good pollen shed can be readily found in existing breeding programs and anther extrusion genes can be mapped in doubled haploid populations from crosses that greatly differ in anther extrusion; identifying pollen receptive lines need more research perhaps through using genetic male sterility and random-mating populations; chemical hybridizing agents can be used to make experimental hybrids in sufficient seed quantity for multi-location trials; the genome-wide markers and algorithms are being developed to build heterotic groups which like maize will need to be bred, not discovered; and chemical hybridizing agents and cytoplasmic male sterility systems appear to be commercially viable. 26¡¢The Interplay Among Subgenomes Shapes Genomic Variations and Transcriptomic Changes during Wheat Hexaploidization Events Mingming Xin CHINA AGRICULTURAL UNIVERSITY Genomic variations and transcriptomic changes extensively occur in newly formed polyploids to reconcile immediate challenges caused by divergent subgenomes in one nucleus. To comprehensively investigate sequence elimination and expression alteration in wheat hexaploidization, here we performed whole exome capture experiments coupled with high throughput sequencing analysis by exploiting three sets of newly synthesized wheat species. We observed that the whole wheat chromosomes was subjected to extensive genomic elimination partially regulated by sequence homology in response to hexaploidization. But homeologous subgenomes exhibited distinct features that DNA sequences were preferentially eliminated on DD genome compared with AA and BB genome. In addition, a higher proportion of eliminated sequences occurred in exonic regions than in intergenic regions on DD genome, whereas a significant enrichment was observed in the repeat-rich intergenic regions for AA and BB genome, exhibiting a contrast distribution pattern compared to the gene density. Furthermore, we detected 488 overlapped genes with sequence elimination on DD genome but few on the other two genomes across three nascent hexaploid wheats. Interestingly, GO enrichment analysis showed genes with sequence elimination were enriched in distinct functional pathways between subgenomes. Transcriptome analysis indicates polyploidization enhanced gene expression differentiation between root and leaf and led to rapid and extensive gene expression changes in synthetic hexaploid wheat. AA and BB genome exhibited synergistic expression profiling which was distinct from DD genome, and interestingly, expression bias was observed for a proportion of homeologs in synthetic hexaploid wheat. Strikingly, only 3.3-23.6% genes with sequence elimination exhibited expression changes in synthetic hexaploid wheat compared with their respective progenitors, indicating genomic variation is not the major cause resulting in the transcirptomic changes during wheat polyploidization events, whereas epigenetic modifications might play an important role in regulating expression profiling alterations. 27¡¢Delimitation of Wheat ph1b Deletion and Development of the ph1b-Specific DNA Markers Yadav Gyawali North Dakota State University The Ph1 (pairing homoeologous) locus has been considered a major genetic system responsible for the diploidized meiotic behavior of the allohexaploid genome in wheat. It functions as a defense system against homoeologous pairing in meiosis of polyploid wheat. A large deletion of the genomic region harboring the Ph1 locus on the long arm of chromosome 5B (5BL) led to the ph1b mutant in hexaploid wheat ¡®Chinese Spring¡¯ (CS), which has been widely used to induce meiotic homoeologous pairing/recombination for gene introgression from wild grasses into wheat. However, knowledge of the breakpoints and actual physical size for the ph1b deletion remains limited. In the present study, we first anchored the deletion region on 5BL by wheat 90K SNP assay, and then delimited the deletion to a genomic region of 60,014,523 bp by chromosome walking. The nucleotide positions of the distal and proximal breakpoints (DB and PB) were identified for the ph1b deletion. This will facilitate understanding of the genetic and molecular mechanism underlying the Ph1 activity in wheat. In addition, we developed user-friendly molecular markers specific for the ph1b deletion based on the DNA sequences immediately proximal to PB and distal to DB. These ph1b deletion-specific markers have dramatically improved the efficacy of the ph1b mutant in the meiotic recombination-based gene introgression and genome studies in wheat and its relatives. Also, these markers have been used to assist selection in the introgression of the ph1b deletion from CS into adapted wheat genotypes. 28¡¢Efficient Wheat Transformation Can be Performed on Cold-Conserved Immature Hybrid Embryos Robin Michard INRA UMR 1095 GDEC Bread wheat is one of the three most cultivated crops in the world and a major economic challenge. However, since a few years, wheat production has reached a plateau. Despite the major role of conventional breeding programs in crop improvement, genetic engineering has become the fastest way to introduce new and well-characterized genes in plants leading researchers to elaborate each day new genetic transformation protocols. As wheat has become a new model plant for crop studying, especially in the word of genetic transformation, the need for an efficient protocol is without appeal. The present study aims to propose improvement of current immature embryo Biolistic® transformation protocols using cold conservation and hybrid immature embryos. We were able to show that using 4¡ãC conservation for immature embryo storage do not affect regeneration and transformation efficiency. Moreover, using immature hybrid embryos can allow simultaneous transformation of two wheat genotypes, even if one of the genotypes is recalcitrant to genetic transformation. We think that those processes can be generalized to optimize wheat Biolistic® protocols. 29¡¢Effect of Glutenin Genes and Glutenin Gene By Environmental Interaction on Quality in Spring Wheat Emily Delorean Department of Plant Pathology, Kansas State University Wheat quality, comprised of milling yield, dough and baking quality, is a critical objective in the spring wheat breeding program at the International Maize and Wheat Improvement Center (CIMMYT). The glutenin genes encode the proteins that are part of the gluten matrix that gives rise to strength, extensibility and elasticity for which wheat dough is famous and are known to be an important determinate in processing and end-use quality. Previous studies have found significant genotype, environment and genotype by environment effects on grain quality traits. Recently, these same trends were also found in a population of 56 hard spring wheat lines grown in 6 environments representing 2 levels each of irrigation, drought or heat stress. It was hypothesized that glutenin genes were underlying the significant genotype effects and glutenin alleles may interact with environments. The effects of glutenin alleles as well as the environment by glutenin effects on quality were tested with a mixed linear model on this population. Glutenin loci were found to have a significant association with most grain quality phenotypes, with the high molecular weight glutenins ( Glu-A1 , Glu-B1 , and Glu-D1 ) having larger effects. Additionally, the glutenin by environment interaction was significant for some of the glutenin loci. The results of this study confirm that glutenin alleles do underlie some of the genotype effect on quality traits in wheat and different glutenin alleles are performing different in contrasting environments. This information can help breeders at CIMMYT to target wheat quality profiles of lines to specific environments. 30¡¢VERNALIZATION1* Modulates Root System Architecture in Wheat and Barley Lee Hickey Centre for Plant Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland As the primary interface for resource acquisition, plant roots play a key role in growth regulation. Evidence from rice, maize and sorghum demonstrates that the below-ground plant architecture significantly impacts plant performance under abiotic constraints. Roots assume critical functions in water uptake, nutrient acquisition and anchorage, an essential characteristic to maintain plant stability under increased grain load. Despite their fundamental importance, knowledge about genetic control of root growth in major grain crops is limited and very little is known about interactions between below-ground and above-ground plant development. Here we demonstrate that VERNALIZATION1 *( VRN1*), a key regulator of flowering behavior in cereals, also modulates root architecture in wheat and barley. Associations of *VRN1 *haplotypes to root growth habit were discovered in wheat by genome-wide association studies, and confirmed by allelic analyses in wheat and barley populations. Functional characterization in transgenic barley confirmed that *VRN1 *influences root growth angle directly, via gravitropism. These discoveries provide unexpected insight into underground functions of a major player in the well-characterized flowering pathway, revealing the intersection of above-ground gene regulation with the largely unexplored genetic architecture of plant root development. Understanding the pleiotropic involvement of this key developmental gene in overall plant architecture will help to breed cereal cultivars adapted to specific environmental scenarios.
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Popen ( , shell = False ) proc . wait () # Mapping each set of input fastq with BWA-MEM, sorting proc = subprocess . Popen ( 'bwa mem -M -R \\'@RG\\tID:' + sra + '\\tSM:' + sample + '\\tPL:ILLUMINA\\'' + ' -t 12 -K 10000000 ' + ref_fasta + ' ' + sra . split ( '.' ) + '_1.fastq.gz' + ' ' + sra . split ( '.' ) + '_2.fastq.gz' + ' | ' + 'sentieon util sort -r ' + ref_fasta + ' -o ' + sra + '.sorted.bam' + ' -t 10 --sam2bam -i -' , shell = True ) proc . wait () # delete all the fastq.gz proc = subprocess . Popen ( + '_1.fastq.gz' ], shell = False ) proc . wait () proc = subprocess . Popen ( + '_2.fastq.gz' ], shell = False ) proc . wait () # get all bam file and put them into next step sra_input = sra_input + ' -i ' + sra + '.sorted.bam' proc . wait () print sra_input # Remove Duplicate Reads on the multiple sorted BAM files proc = subprocess . Popen ( 'sentieon driver -t 10' + sra_input + ' --algo LocusCollector --fun score_info score.txt' , shell = True ) proc . wait () proc = subprocess . Popen ( 'sentieon driver -t 10' + sra_input + ' --algo Dedup --rmdup --score_info score.txt --metrics dedup_metrics.txt deduped.bam' , shell = True ) proc . wait () # Indel realigner proc = subprocess . Popen ( , shell = False ) proc . wait () # Base recalibration proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () # HC Variant caller proc = subprocess . Popen ( , shell = False ) proc . wait () proc = subprocess . Popen ( , shell = False ) proc . wait () ºÏ²¢¶à¸ögvcfÉú³ÉvcfÎļþ; sentieon driver -r /data/IWGSC_v1.0_STAR/IWGSC_v1.0_part.fasta -t 10 --algo GVCFtyper Ms1_DNA.vcf mutant-hc.g.vcf.gz wild-hc.g.vcf.gz ÒòΪÎÒÃÇʹÓõIJο¼ÐòÁÐȾɫÌå±»·Ö³ÉÁËÁ½²¿·Ö£¬ÕâÀïÒªÏȺϲ¢ÆðÀ´¡£ python combine_vcf.py Ms1_DNA_whole.vcf ### combine_vcf.py chr = , , , , , , , , , , , , , , , , , , , , ] with open ( 'Ms1_DNA.vcf' , 'r' ) as f : for line in f : if line . startswith ( '#' ): print line , else : line = line . replace ( '_part1' , '' ) line = line . strip (). split ( '\\t' ) if line . endswith ( 'part2' ): for i in chr : if line . split ( '_' ) == i : line = int ( line ) + int ( i ) line = line . split ( '_' ) for m in line : print str ( m ) + '\\t' , print line + '\\n' , ÏÂÃæÒ»²½¾ÍÊÇɸѡSNP£¬ÓÃÀ´¼ÆËãÍ»±äÌåºÍÒ°ÉúÐ͵ÄSNP indexÒÔ¼°Á½ÕߵıÈÖµ¡£É¸Ñ¡ÕâÒ»²½ÎÒҲûÓÐɶ¾­Ñ飬²Î¿¼ÎÄÕ±ê×¼µÄ±ê×¼ÒÔ¼°×Ô¼ºÃþË÷ÁËһЩ±ê×¼£¬¸Ð¾õ¶¼²»ÊÇÌ«ÀíÏ룬´úÂëÒ²¾Í²»ÁгöÁË£¬¾«Á¦ÓÐÏÞ£¬Ò²¾ÍûÔÚ¼ÌÐøÕÛÌÚÏÂÈ¥¡£ºÃÔÚ£¬´Ó½á¹ûÀ´¿´£¬»¹ÊÇ¿ÉÒÔ¿´µ½4BÉÏÓзå´æÔÚ£¬Ò²¼´Äܹ»¼ì²âµ½Í»±äλµãλÓÚ4BȾɫÌåµÄijһ¶Î£¬ÈçÏÂͼ¡£ ÖÁ´Ë£¬·ÖÎö¸æÒ»¶ÎÂ䣬ÏÂÃæ˵һÏÂÓÐÒâ˼µÄ·¢ÏÖ¡£Ê×ÏÈ£¬RNA_seqÄܼì²âµ½µÄ¶à̬£¬µ«ÊÇÔÚDNA_seqÀïȴûÓУ¬²Â²âÔÚRNA·´×ªÂ¼¹ý³ÌÖлáÒýÈëһЩ´íÎó¡£µÚ¶þ¾ÍÊÇRNA_seq²âÐòÑ°ÕÒºòÑ¡»ùÒò»ùÒòʱһ¶¨ÒªÑ¡¶Ôʱ¼äµã¡£µÚÈýÊǹØÓÚMs1Õâ¸ö»ùÒòµÄ£¬ÈçÏÂͼ£¬´Ë´¦Äܼì²âµ½ms1eµÄÍ»±ä£¬³ýÁËÕâЩ£¬Í¬Ê±»¹·¢ÏÖ£¬ÔÚMs1»ùÒòÏÂÓεıí´ïÁ¿ÒªÔ¶¸ßÓÚÉÏÓΣ¬Ã²ËÆÊǽô°¤×ÅMs1µÄÒ»¸ö»ùÒò£¬¸Ã»ùÒò²¢Î´×¢ÊͳöÀ´£¬Í¨³£ÈÏΪÓëMs1ÊÇÔÚͬһ¸öת¼±¾ÉÏ¡£ÁíÍ⣬»¹·¢ÏÖMs1ÏÂÓÎÒ²Óнµ½â×éreadsÖ§³Ö£¬Õâ˵Ã÷´Ë´¦Ò²ÐíÓÐsmall RNA²ÎÓëµ÷¿Ø£¬ÉÏÊö±í´ï·á¶ÈµÄ²»Í¬¿ÉÄܾÍÊÇ´Ë´¦µÄsmall RNAµ¼Öµġ£×îÖÕÊDz»ÊÇÓëÐÛÐÔ²»ÓýÓйػ¹ÐèÒª¸ü¶àµÄʵÑéÖ¤¾ÝÑéÖ¤¡£ÆÚ´ýδÀ´Ä³Ò»ÌìÓÐÈËÄܹ»²ûÃ÷´Ë´¦µÄÉúÎïѧ×÷Óá£
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To optimize disease resistance breeding, a greater awareness is needed of the pathovars and genetic diversity within the pathogens causing BLS in the region. Multilocus sequencing typing (MLST) and analysis (MLSA) of four common housekeeping genes (rpoD, dnaK, fyuA and gyrB) was used to evaluate the genetic diversity of 82 strains of X. translucens isolated between 2006 and 2013 from wheat, barley, rye and intermediate wheatgrass. In addition, in planta disease assays were conducted on 75 strains to measure relative virulence in wheat and barley. All strains were determined by MLSA to be related to X. translucens pv. undulosa and X. translucens pv. translucens. Clustering of strains based on Bayesian, network, and minimum spanning trees correlated with relative virulence levels in inoculated wheat and barley. Thus, phylogeny based on rpoD, dnaK, fyuA and gyrB correlated with host of isolation and was an effective means for predicting virulence of strains belonging to X. translucens pv. translucens and X. translucens pv. undulosa. 2 Analysis of contributors to grain yield in wheat at the individual quantitative trait locus level In wheat, strong genetic correlations have been found between grain yield (GY) and tiller number per plant (TN), fertile spikelet number per spike (FSN), kernel number per spike (KN) and thousand-kernel weight (TKW). To investigate their genetic relationships at the individual quantitative trait locus (QTL) level, we performed both normal and multivariate conditional QTL analysis based on two recombinant inbred lines (RILs) populations. A total of 79 and 48 normal QTLs were identified in the International Triticeae Mapping Initiative (ITMI)/SHW-L1 9 Chuanmai 32 (SC) populations, respectively, as well as 55 and 35 conditional QTLs. Thirty-two QTL clusters in the ITMI population and 18 QTL clusters in the SC population explained 0.9%¨C 46.2% of phenotypic variance for two to eight traits. A comparison between the normal and conditional QTL mapping analyses indicated that FSN made the smallest contribution to GY among the four GY components that were considered at the QTL level. The effects of TN, KN and TKW on GY were stronger at the QTL level. 3 Genome-Wide Association Mapping of Loci for Resistance to Stripe Rust in North American Elite Spring Wheat Germplasm Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a major yield-limiting foliar disease of wheat (Triticum aestivum) worldwide. In this study, the genetic variability of elite spring wheat germplasm from North America was investigated to characterize the genetic basis of effective all-stage and adult plant resistance (APR) to stripe rust. A genome-wide association study was conducted using 237 elite spring wheat lines genotyped with an Illumina Infinium 90K single-nucleotide polymorphism array. All-stage resistance was evaluated at seedling stage in controlled conditions and field evaluations were conducted under natural disease pressure in eight environments across Washington State. High heritability estimates and correlations between infection type and severity were observed. Ten loci for race-specific all-stage resistance were confirmed from previous mapping studies. Three potentially new loci associated with race-specific all-stage resistance were identified on chromosomes 1D, 2A, and 5A. For APR, 11 highly significant quantitative trait loci (QTL) (false discovery rate 0.01) were identified, of which 3 QTL on chromosomes 3A, 5D, and 7A are reported for the first time. The QTL identified in this study can be used to enrich the current gene pool and improve the diversity of resistance to stripe rust disease. 4 Fluorescence in situ hybridization karyotyping reveals the presence of two distinct genomes in the taxon Aegilops tauschii The distribution of sites hybridizing to the two probes oligo-pTa-535 and (CTT)10 split the Ae. tauschii accessions into two clades, designated Dt and Ds, which corresponded perfectly with a previously assembled phylogeny based on marker genotype. The Dt cluster was populated exclusively by ssp. tauschii accessions, while the Ds cluster harbored both ssp. strangulata and morphologically intermediate accessions. As a result, it is proposed that Ae. tauschii ssp. tauschii is restricted to carriers of the Dt karyotype: their spikelets are regularly spaced along the rachis, at least in the central portion of their spike. Accessions classified as Ae. tauschii ssp. strangulata carry the Ds karyotype; their spikelets are irregularly spaced. Based on this criterion, forms formerly classified as ssp. tauschii var. meyeri have been re-designated ssp. strangulata var. meyeri . According to the reworking of the taxon, the bread wheat D genome was most probably donated by ssp. strangulata var. meyeri . Chromosomal differentiation reveals intra-species taxon of Ae. tauschii . Ae. tauschii ssp. tauschii has more distant relationship with breed wheat than ssp. strangulata and can be used for breeding improving effectively. 5 Asymmetrical changes of gene expression, small RNAs and chromatin in two resynthesized wheat allotetraploids Polyploidy occurs in some animals and all flowering plants including important crops such as wheat. The consequences of polyploidy on crops remain elusive partly because their progenitors are unknown. Using two resynthesized wheat allotetraploids SlSlAA and AADD with known diploid progenitors, we analyzed mRNA and small RNA transcriptomes in the endosperm, compared transcriptomes between endosperm and root in AADD, and examined chromatin changes in the allotetraploids. In the endosperm, there were more nonadditively expressed genes in SlSlAA than in AADD. In AADD, nonadditively expressed genes were developmentally regulated, and the majority (62-70%) were repressed. The repressed genes in AADD included a group of histone methyltransferase gene homologs, which correlated with reduced histone H3K9me2 levels and activation of various transposable elements in AADD. In SlSlAA, there was a tendency of expression dominance of Sl over A homoeologs, but the histone methyltransferase gene homologs were additively expressed, correlating with insignificant changes in histone H3K9me2 levels. Moreover, more 24-nt small inferring RNAs (siRNAs) in the A subgenome were disrupted in AADD than in SlSlAA, which were associated with expression changes of siRNA-associated genes. Our results indicate that asymmetrical changes in siRNAs, chromatin modifications, transposons, and gene expression coincide with unstable AADD genomes and stable SlSlAA genomes, which could help explain evolutionary trajectories of wheat allotetraploids formed by different progenitors. 6 Genetic characterization of type II Fusarium head blight resistance derived from transgressive segregation in a cross between Eastern and Western Canadian spring wheat Fusarium head blight (FHB) caused by Fusarium graminearum is a devastating disease affecting global wheat production, causing significant losses to yield and grain quality. The Eastern Canadian line FL62R1 was developed using a systemic breeding approach and boasts high levels of FHB resistance with good yield, desirable agronomics, and end-use quality traits. The objective of this study was to identify genetic determinants of type II resistance in a cross between FL62R1 and cv. Stettler, a Canada Western Red Spring variety rated moderately susceptible to FHB. Although neither parent displayed strong resistance to FHB spread within spikes following point inoculation (type II resistance) in greenhouses, strong type II resistance was observed in a large number of progeny, including 6% with resistance comparable to the best check line, Sumai 3. Quantitative trait locus (QTL) mapping identified a locus from chromosome 2BL of Stettler which provides Sumai 3 level type II resistance when combined with favorable FHB resistance QTLs with minor effects from FL62R1. This study provides insight into transgressive segregation for FHB, which despite its importance is poorly understood, rare, and difficult to predict. It also begins to dissect the genetic architecture of FHB resistance in wheat derived from the systemic breeding approach. 7 Brassinosteroids Modulate Meristem Fate and Differentiation of Unique Inflorescence Morphology in Setaria viridis(¹·Î²²Ý,ºÌ±¾¿Æ) Inflorescence architecture is a key determinant of yield potential in many crops and is patterned by the organization and developmental fate of axillary meristems. In cereals, flowers and grain are borne from spikelets, which differentiate in the final iteration of axillary meristem branching. In Setaria spp., inflorescence branches terminate in either a spikelet or a sterile bristle, and these structures appear to be paired. In this work, we leverage Setaria viridis to investigate a role for the phytohormones brassinosteroids (BRs) in specifying bristle identity and maintaining spikelet meristem determinacy. We report the molecular identification and characterization of the Bristleless 1 (Bsl1) locus in S. viridis, which encodes a rate-limiting enzyme in BR biosynthesis. Loss-of-function bsl1 mutants fail to initiate a bristle identity program, resulting in homeotic conversion of bristles to spikelets. In addition, spikelet meristem determinacy is altered in the mutants, which produce two florets per spikelet instead of one. Both of these phenotypes provide avenues for enhanced grain production in cereal crops. Our results indicate that the spatiotemporal restriction of BR biosynthesis at boundary domains influences meristem fate decisions during inflorescence development. The bsl1 mutants provide insight into the molecular basis underlying morphological variation in inflorescence architecture. 8 Critical and speculative review of the roles of multi-protein complexes instarch biosynthesis in cereals Starch accounts for the majority of edible carbohydrate resources generated through photosynthesis. Amylopectin is the major component of starch and is one of highest-molecular-weight biopolymers. Rapid and systematic synthesis of frequently branched hydro-insoluble amylopectin and efficient accumulation into amyloplasts of cereal endosperm is crucial. The functions of multiple starch biosynthetic enzymes, including elongation, branching, and debranching enzymes, must be temporally and spatially coordinated. Accordingly, direct evidence of protein-protein interactions of starch biosynthetic enzymes were first discovered in developing wheat endosperm in 2004, and they have since been shown in the developing seeds of other cereals. This review article describes structural characteristics of starches as well as similarities and differences in protein complex formation among different plant species and among mutant plants that are deficient in specific starch biosynthetic enzymes. In addition, evidence for protein complexes that are involved in the initiation stages of starch biosynthesis is summarized. Finally, we discuss the significance of protein complexes and describe new methods that may elucidate the mechanisms and roles of starch biosynthetic enzyme complexes. 9 Developmental responses of bread wheat to changes in ambient temperature following deletion of a locus that includes FLOWERING LOCUS T1 FLOWERING LOCUS T ( FT ) is a central integrator of environmental signals that regulates the timing of vegetative to reproductive transition in flowering plants. In model plants, these environmental signals have been shown to include photoperiod, vernalization and ambient temperature pathways, whilst in crop species the integration of the ambient temperature pathway remains less well understood. In hexaploid wheat, at least 5 FT-like genes have been identified, each with a copy on the A, B and D genomes. Here we report the characterization of FT-B1 through analysis of FT-B1 null and over-expression genotypes under different ambient temperature conditions. This analysis has identified that the FT-B1 alleles perform differently under diverse environmental conditions; most notably the FT-B1 null produces an increase in spikelet and tiller number when grown at lower temperature conditions. Additionally, absence of FT-B1 facilitates more rapid germination under both light and dark conditions. These results provide an opportunity to understand the FT-dependent pathways that underpin key responses of wheat development to changes in ambient temperature. This is particularly important for wheat, for which development and grain productivity is sensitive to changes in temperature. 10 On the Origin of the Non-brittle Rachis Trait of Domesticated Einkorn Wheat Einkorn and emmer wheat together with barley were among the first cereals domesticated by humans more than 10,000 years ago, long before durum or bread wheat originated. Domesticated einkorn wheat differs from its wild progenitor in basic morphological characters such as the grain dispersal system. This study identified the Non-brittle rachis 1 ( btr1 ) and Non-brittle rachis 2 ( btr2 ) in einkorn as homologous to barley. Re-sequencing of the Btr1 and Btr2 in a collection of 53 lines showed that a single non-synonymous amino acid substitution (alanine to threonine) at position 119 at btr1 , is responsible for the non-brittle rachis trait in domesticated einkorn. Tracing this haplotype variation back to wild einkorn samples provides further evidence that the einkorn progenitor came from the Northern Levant. We show that the geographical origin of domesticated haplotype coincides with the non-brittle domesticated barley haplotypes, which suggest the non-brittle rachis phenotypes of einkorn and barley were fixed in same geographic area in today¡¯s South-east Turkey. 11 Pyramiding of transgenic Pm3 alleles in wheat results in improved powdery mildew resistance in the field Allelic Pm3 resistance genes of wheat confer race-specific resistance to powdery mildew ( Blumeria graminis f. sp. tritici , Bgt ) and encode nucleotide-binding domain, leucine-rich repeat (NLR) receptors. Transgenic wheat lines overexpressing alleles Pm3a, b, c, d, f, and g have previously been generated by transformation of cultivar Bobwhite and tested in field trials, revealing varying degrees of powdery mildew resistance conferred by the transgenes. Here, we tested four transgenic lines each carrying two pyramided Pm3 alleles, which were generated by crossbreeding of lines transformed with single Pm3 alleles. All four allele-pyramided lines showed strongly improved powdery mildew resistance in the field compared to their parental lines. The improved resistance results from the two effects of enhanced total transgene expression levels and allele-specificity combinations. In contrast to leaf segment tests on greenhouse-grown seedlings, no allelic suppression was observed in the field. Plant development and yield scores of the pyramided lines were similar to the mean scores of the corresponding parental lines, and thus, the allele pyramiding did not cause any negative effects. On the contrary, in pyramided line, Pm3b ¡Á Pm3f normal plant development was restored compared to the delayed development and reduced seed set of parental line Pm3f. Allele-specific RT qPCR revealed additive transgene expression levels of the two Pm3 alleles in the pyramided lines. A positive correlation between total transgene expression level and powdery mildew field resistance was observed. In summary, allele pyramiding of Pm3 transgenes proved to be successful in enhancing powdery mildew field resistance. 12 Chemical hybridizing agent SQ-1-induced male sterility in Triticum aestivum L.: a comparative analysis of the anther proteome We performed proteomic analyses using the wheat Triticum aestivum L.to identify those proteins involved in physiological male sterility (PHYMS) induced by the chemical hybridizing agent CHA SQ-1. A total of 103 differentially expressed proteins were found by 2D¨CPAGE and subsequently identified by MALDI-TOF/TOF MS/MS. In general, these proteins had obvious functional tendencies implicated in carbohydrate metabolism, oxidative stress and resistance, protein metabolism, photosynthesis, and cytoskeleton and cell structure. In combination with phenotypic, tissue section, and bioinformatics analyses, the identified differentially expressed proteins revealed a complex network behind the regulation of PHYMS and pollen development. Accordingly, we constructed a protein network of male sterility in wheat, drawing relationships between the 103 differentially expressed proteins and their annotated biological pathways. To further validate our proposed protein network, we determined relevant physiological values and performed real-time PCR assays. Our proteomics based approach has enabled us to identify certain tendencies in PHYMS anthers. Anomalies in carbohydrate metabolism and oxidative stress, together with premature tapetum degradation, may be the cause behind carbohydrate starvation and male sterility in CHA SQ-1 treated plants. Here, we provide important insight into the mechanisms underlying CHA SQ-1-induced male sterility. Our findings have practical implications for the application of hybrid breeding in wheat. 13 Effects of Three Parastagonospora nodorum Necrotrophic Effectors on Spring Wheat under Norwegian Field Conditions The wheat (Triticum aestivum L.) disease Septoria nodorum blotch (SNB) is caused bythe necrotrophic fungus Parastagonospora nodorum (Berk.) Quaedvlieg, Verkley Crousand causes significant yield and quality losses in several wheat growing regions. Theresistance mechanisms are quantitative and progress in resistance breeding has beenslow. However, gene-for-gene interactions involving necrotrophic effectors (NEs) andsensitivity genes (Snn) are involved, providing hope for more effective breeding. Althoughthe interactions are significant determinants of seedling SNB susceptibility, their role inadult plant leaf blotch resistance in the field is less understood. In this study, the frequencyof SnTox genes was investigated in 62 P.nodorum isolates collected in Norway. A panel of Norwegian and international spring wheat lines and cultivars was screened under natural SNB infection in a mist-irrigated field nurseryacross 7 yr. The lines were infiltrated in the greenhouse with the purified NEs SnToxA,SnTox1, and SnTox3, and the prevalence of corresponding sensitivity was investigated, aswell as correlation between NE sensitivity and resistance level in the field. The frequencies of SnToxA, SnTox1, and SnTox3 in the isolates were 0.69, 0.53 and 0.76, respectively.Sensitivity to SnToxA, SnTox1, and SnTox3 was present in 45, 12, and 55% of the plant material. Sensitivity to SnToxA was associated with significantly higher disease severity in the field than insensitivity. This indicates that elimination of SnToxA sensitivity in the breeding material by effector infiltrations or marker-assisted selection can be an effective way to increase field resistance to SNB. 14 Proteomic analysis of low-molecular-weight glutenin subunits and relationship with their genes in a common wheat variety Although many studies on low-molecular-weight glutenin subunit (LMW-GS) function have been reported, a comprehensive comparison between specific genes and their protein product is still lacking. This study aimed to link the 43 genes isolated from the Korean wheat variety ¡°Jokyoung¡± in the authors¡¯ previous study to their protein products. Proteins were separated using two-dimensional gel electrophoresis (2-DGE) and identified by tandem mass spectrometry (MS/MS) at the gene haplotype level. Using MS/MS analysis of 17 protein spots, two spots were identified in the Glu-A3 locus and the corresponding haplotype was GluA3-13(Glu-A3c). Six spots were identified in the Glu-B3 locus and the corresponding haplotypes were GluB3-33 and GluB3-43 (Glu-B3h). Eight spots were identified in the Glu-D3 locus and the corresponding haplotypes were GluD3-11, GluD3-21, GluD3-31, GluD3-5, and GluD3-6 (Glu-D3a), and one spot was contaminated with gamma gliadin. Phylogenetic analysis and alignment of nucleotide and amino acid sequences assigned 35 of the 43 genes to seven haplotypes: GluA3-13, GluB3-43, GluD3-11, GluD3-21, GluD3-31, GluD3-42, and GluD3-5. Taken together, except for GluB3-33 and GluD3-6, which were not isolated, linking of each gene to the corresponding protein products at the gene haplotype level was accomplished using proteomic tools and phylogenetic analysis. »¶Ó­¹Ø×¢¡°Ð¡ÂóÑо¿ÁªÃË¡±
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Advances in next-generation sequencing (NGS) technology provide needed throughput to conquer the enormous size of the wheat genome. Multiple high quality reference genome sequences will soon be available. Full-scale wheat functional genomics studies are dawning. In this review we highlight the available tools and methodologies for wheat functional genomics research developed with the assistance of NGS technology and recent progress, particularly the concerted effort in generating multiple reference genomes, strategies to attain genome-wide genetic variation, genome-wide association studies, mutant population generation, and NGS-supported gene cloning and functional characterization. These resources and platforms lay a solid foundation for wheat research, leading to a new era of wheat functional genomics that will bridge the gap between genotype and phenotype. Dissection of wheat genomes and gene functions should assist in genomics-assisted selection and facilitate breeding of elite varieties for sustainable agriculture in China and the world. Current advances in genome sequencing of common wheat and its ancestral species Xiaoli Shi, Hong-Qing Ling Common wheat is an important and widely cultivated food crop throughout the world. Much progress has been made in regard to wheat genome sequencing in the last decade. Starting from the sequencing of single chromosomes/chromosome arms whole genome sequences of common wheat and its diploid and tetraploid ancestors have been decoded along with the development of sequencing and assembling technologies. In this review, we give a brief summary on international progress in wheat genome sequencing, and mainly focus on reviewing the effort and contributions made by Chinese scientists. Wheat genome editing expedited by efficient transformation techniques: Progress and perspectives Ke Wang, Bisma Riaz, Xingguo Ye Genome editing is one of the most promising biotechnologies to improve crop performance. Common wheat is a staple food for mankind. In the past few decades both basic and applied research on common wheat has lagged behind other crop species due to its complex, polyploid genome and difficulties in genetic transformation. Recent breakthroughs in wheat transformation permit a revolution in wheat biotechnology. In this review, we summarize recent progress in wheat genetic transformation and its potential for wheat improvement. We then review recent progress in plant genome editing, which is now readily available in wheat. We also discuss measures to further increase transformation efficiency and potential applications of genome editing in wheat. We propose that, together with a high quality reference genome, the time for efficient genetic engineering and functionality studies in common wheat has arrived. Genetic improvement of heat tolerance in wheat: Recent progress in understanding the underlying molecular mechanisms Zhongfu Ni, Hongjian Li, Yue Zhao, Huiru Peng, Zhaorong Hu, Mingming Xin, Qixin Sun As a cool season crop, wheat (Triticum aestivum L.) has an optimal daytime growing temperature of 15 ¡ãC during the reproductive stage. With global climate change, heat stress is becoming an increasingly severe constraint on wheat production. In this review, we summarize recent progress in understanding the molecular mechanisms of heat tolerance in wheat. We firstly describe the impact of heat tolerance on morphology and physiology and its potential effect on agronomic traits. We then review recent discoveries in determining the genetic and molecular factors affecting heat tolerance, including the effects of phytohormone signaling and epigenetic regulation. Finally, we discuss integrative strategies to improve heat tolerance by utilization of existing germplasm including modern cultivars, landraces and related species. The landscape of molecular mechanisms for salt tolerance in wheat Meng Wang, Guangmin Xia Wheat is one of the most important food crops, and its yield is seriously restricted by high salinity and other abiotic stresses. Many attempts have been made to elucidate the major physiological processes associated with salt tolerance and to identify the genes controlling the processes. In this review, the major role of high-affinity potassium transporter (HKT) genes in enhancing the salt tolerance of wheat is summarized. The link between maintenance of reactive oxygen species (ROS) homeostasis and salt tolerance through a comprehensive study of a wheat introgression line is examined, and the contribution of a set of genes involved in this process is depicted. New research strategies to uncover the mechanisms underlying salt tolerance in wheat based on recent advances in omics will be discussed. A journey to understand wheat fusarium head blight resistance in the Chinese wheat landrace Wangshuibai Haiyan Jia, Jiyang Zhou, Shulin Xue, Guoqiang Li, Haisheng Yan, Congfu Ran, Yiduo Zhang, Jinxing Shi, Li Jia, Xin Wang, Jing Luo, Zhengqiang Ma Fusarium head blight (FHB) or scab caused by Fusarium graminearum is a major threat to wheat production in China as well as in the world. To combat this disease, multiple efforts have been carried out internationally. In this article, we review our long-time effort in identifying the resistance genes and dissecting the resistance mechanisms by both forward and reverse genetics approaches in the last two decades. We present recent progress in resistance QTL identification, candidate functional gene discovery, marker-assisted improvement of FHB resistant varieties, and findings in investigating association of signal molecules, such as Ca++, SA, JA, and ET, with FHB response, with the assistance from rapidly growing genomics platforms. The information will be helpful for designing novel and efficient approaches to curb FHB. Understanding the lifestyles and pathogenicity mechanisms of obligate biotrophic fungi in wheat: The emerging genomics era Chunlei Tang, Qiang Xu, Mengxin Zhao, Xiaojie Wang, Zhensheng Kang Obligate biotrophic fungi cause serious and widespread diseases of crop plants, but are challenging to investigate because they cannot be cultured in vitro. The two economically important groups of biotrophic fungi parasitizing wheat are the rust and powdery mildew pathogens, but their obligate biotrophic lifestyles and pathogenicity mechanisms are not well understood at the molecular level. With the advent of next generation sequencing technology, increasing numbers of pathogen genomes are becoming available. Research in plant pathology has entered a new genomics era. This review summarizes recent progress in understanding the biology and pathogenesis of biotrophic fungal pathogens attacking wheat based on pathogen genomics. We particularly focus on the three wheat rust and the powdery mildew fungi in regard to genome sequencing, avirulence gene cloning, effector discovery, and pathogenomics. We predict that coordinated study of both wheat and its pathogens should reveal new insights in biotrophic adaptation, pathogenicity mechanisms, and population dynamics of these fungi that will assist in development of new strategies for breeding wheat varieties with durable resistance. Molecular genetic and genomic analysis of wheat milling and end-use traits in China: Progress and perspectives Daowen Wang, Kunpu Zhang, Lingli Dong, Zhenying Dong, Yiwen Li, Abrar Hussain, Huijie Zhai Wheat is the most widely cultivated staple food crop, and multiple types of food derivatives are processed and consumed globally. Wheat grain quality (WGQ) is central to food processing and nutritional value, and is a decisive factor for consumer acceptance and commercial value of wheat cultivars. Hence, improvement in WGQ traits is top priority for both conventional and molecular wheat breeding. In this review we will focus on two important WGQ traits, grain milling and end-use, and will summarize recent progress in China. Chinese scientists have invested substantial effort in molecular genetic and genomic analysis of these traits and their effects on end-use properties. The insights and resources generated have contributed to the understanding and improvement of these traits. As high-quality genomics information and powerful genome engineering tools are becoming available for wheat, more fundamental breakthroughs in dissecting the molecular and genomic basis of WGQ are expected. China will strive to make further significant contributions to the study and improvement of WGQ in the genomics era. Wheat breeding in the hometown of Chinese Spring Dengcai Liu, Lianquan Zhang, Ming Hao, Shunzong Ning, Zhongwei Yuan, Shoufen Dai, Lin Huang, Bihua Wu, Zehong Yan, Xiujin Lan, Youliang Zheng The common wheat landrace Chinese Spring (CS) was made famous by the work of Ernie Sears, a great cytogenetist, who developed a number of CS-based aneuploid series that were used to identify individual wheat chromosomes. Based on this, a standard karyotype and nomenclature system was developed for wheat chromosomes that allowed wheat researchers to analyze and manipulate the wheat genome with unprecedented precision and efficiency. Nevertheless, not much is known about the utilization of CS at its hometown, Chengdu in Sichuan province, during early wheat breeding activity. In this review, we follow the speculation that CS is a selection from the Cheng-du-guang-tou (CDGT) landrace. We provide a description of how CDGT became a founder landrace for wheat breeding activities in early times. We show that CDGT-derived varieties were reinforced genetically by crosses to six more exotic parents. These varieties remained the major elite cultivar for several decades. Later, synthetic hexaploid wheats were introduced into the breeding program, firstly using those from CIMMYT and later using materials produced with local tetraploid wheat and goat grass. Finally, we discuss the strategies and future directions to improve wheat yield and resistance through an expanded genetic basis, especially by recapturing lost genetic variations from landraces and related wild species, a process that may set an example for wheat breeders in China and elsewhere. Mapping stripe rust resistance genes by BSR-Seq: YrMM58 and YrHY1 on chromosome 2AS in Chinese wheat lines Mengmai 58 and Huaiyang 1 are Yr17 Yong Wang, Huaizhi Zhang, Jingzhong Xie, Bingmin Guo, Yongxing Chen, Huaiyu Zhang, Ping Lu, Qiuhong Wu, Miaomiao Li, Deyun Zhang, Guanghao Guo, Jian Yang, Panpan Zhang, Yan Zhang, Xicheng Wang, Hong Zhao, Tingjie Cao, Zhiyong Liu Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici (PST), is one of the most devastating fungal diseases in common wheat (Triticumaestivum L.) in China and worldwide. Resistance breeding is the most effective strategy to control diseases in crop plants. Chinese wheat lines Mengmai 58 and Huaiyang 1 are highly resistant to PST race CYR34 (V26) at the adult plant stage. To genetically map the underlying resistance genes we developed segregating populations by crossing Mengmai 58 and Huaiyang 1 with the susceptible cultivar Nongda 399. The stripe rust resistances in Mengmai 58 and Huaiyang 1 were both controlled by single dominant genes, provisionally designated YrMM58 and YrHY1 , respectively. Bulked segregant RNA-Seq (BSR-Seq) analysis showed that YrMM58 and YrHY1 were located in the same distal ~ 16 Mb region on chromosome2AS. Comparative genomics analysis with the physical map of Aegilops tauschii proved useful for developing additional markers to saturate the genetic linkage map. YrMM58 and YrHY1 were mapped to the distal end of chromosome arm 2AS, with the closest marker WGGB148being 7.7 cM and 3.8 cM from the resistance gene, which was considered to be Yr17. These markers can be used in marker-assisted selection. »¶Ó­¹Ø×¢ ¡°Ð¡ÂóÑо¿ÁªÃË¡±£¬ Á˽âСÂóнøÕ¹ Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·Ö²¼µÈÇëÁªÏµ£º wheatgenome
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mashengwei 2017-12-31 10:24
12 31 ±¾ÆÚ×÷ÕߣºÂóÃÈ ÓÖµ½ÁËÖÜÈÕ£¬ÓÐûÓие½Ê±¹â·ÉÊÅ£¿½ñÌìÇ¡ºÃÊÇ2017ÄêµÄ×îºóÒ»Ìì¡£ËêÄ©Äê³õ£¬»¹ÊÇͦæµÄ¡£½ñÍíÅÖѾÈÔȻèÔÚʵÑéÊÒ£¬ÎÒÎÊËýΪɶû³öÈ¥¿çÄê°¡¡£ÅÖѾµ­µ­µÄ˵£¬¡°ÈÈÄÖÊÇËûÃǵÄ,ÎÒʲôҲûÓÐ ¡±¡£ ÏÂÃæÊÇ17Äê12·ÝСÂóÏà¹ØµÄÎÄÏ×ÁÐ±í¡£ Ò»ÖÜÎÄÏ×»ã×Ü Ò»ÖÜÎÄÏ×ÍƼö£¨2017.12.9£© СÂóÒ»ÖÜÎÄÏ×ÍƼö£¨12.17£© СÂóÒ»ÖÜÎÄÏ×ÍÆËÍ£¨12.23£© 1 Interspecific and intergeneric hybridization as a source of variation for wheat grain quality improvement Wheat quality and its end-uses are mainly based on variation in three traits: grain hardness, gluten quality and starch. In recent times, the importance of nutritional quality and health-related aspects has increased the range of these traits with the inclusion of other grain components such as vitamins, fibre and micronutrients. One option to enlarge the genetic variability in wheat for all these components has been the use of wild relatives, together with underutilised or neglected wheat varieties or species. In the current review, we summarise the role of each grain component in relation to grain quality, their variation in modern wheat and the alternative sources in which wheat breeders have found novel variation. 2 Functional and DNA¨Cprotein binding studies of WRKY transcription factors and their expression analysis in response to biotic and abiotic stress in wheat (Triticum aestivum L.) WRKY, a plant-specific transcription factor family, plays vital roles in pathogen defense, abiotic stress, and phytohormone signalling. Little is known about the roles and function of WRKY transcription factors in response to rust diseases in wheat. In the present study, three TaWRKY genes encoding complete protein sequences were cloned. They belonged to class II and III WRKY based on the number of WRKY domains and the pattern of zinc finger structures. Twenty-two DNA¨Cprotein binding docking complexes predicted stable interactions of WRKY domain with W-box. Quantitative real-time-PCR using wheat near-isogenic lines with or without Lr28 gene revealed differential up- or down-regulation in response to biotic and abiotic stress treatments which could be responsible for their functional divergence in wheat. TaWRKY62 was found to be induced upon treatment with JA, MJ, and SA and reduced after ABA treatments. Maximum induction of six out of seven genes occurred at 48 h post inoculation due to pathogen inoculation. Hence, TaWRKY (49, 50, 52, 55, 57, and 62) can be considered as potential candidate genes for further functional validation as well as for crop improvement programs for stress resistance. The results of the present study will enhance knowledge towards understanding the molecular basis of mode of action of WRKY transcription factor genes in wheat and their role during leaf rust pathogenesis in particular. 3 Durum wheat diversity for heat stress tolerance during inflorescence emergence is correlated to TdHSP101C expression in early developmental stages The predicted world population increase along with climate changes threatens sustainable agricultural supply in the coming decades. It is therefore vital to understand crops diversity associated to abiotic stress response. Heat stress is considered one of the major constrains on crops productivity thus it is essential to develop new approaches for a precocious and rigorous evaluation of varietal diversity regarding heat tolerance. Plant cell membrane thermostability (CMS) is a widely used method for wheat thermotolerance assessment although its limitations require complementary solutions. In this work we used CMS assay and explored TdHSP101C genes as an additional tool for durum wheat screening. Genomic and transcriptomic analyses of TdHSP101C genes were performed in varieties with contrasting CMS results and further correlated with heat stress tolerance during fertilization and seed development. Although the durum wheat varieties studied presented a very high homology on TdHSP101C genes (99%) the transcriptomic assessment allowed the discrimination between varieties with good CMS results and its correlation with differential impacts of heat treatment during inflorescence emergence and seed development on grain yield. The evidences here reported indicate that TdHSP101C transcription levels induced by heat stress in fully expanded leaves may be a promising complementary screening tool to discriminate between durum wheat varieties identified as thermotolerant through CMS. 4 Virulence of some Puccinia triticina races to the effective wheat leaf rust resistant genes Lr 9 and Lr 19 under Egyptian field conditions Leaf rust ( Puccinia triticina Eriks.) is the most widespread disease of wheat ( Triticum aestivum L.) in Egypt and worldwide. The two leaf rust resistance genes i.e. Lr 9 and Lr 19 were previously highly effective against the predominant Puccinia triticina races in Egypt. In 2015/2016 growing season, susceptible field reaction was recorded on these two genes, where rust severity reached to 40% (S) for Lr 9 and 5% (S) for Lr 19 under Egyptian field conditions at four locations i.e. El-Behira, El-Minufiya, El-Qalubiya and El-Fayom governorates. In this study, 39 leaf rust monogenic lines and 16 commercial wheat cultivars were tested at seedling stage. While, 12 leaf rust monogenic lines and the same 16 wheat cultivars were evaluated at adult plant stage. Eight leaf rust field samples were collected from these governorates (four from each of Lr 9 and Lr 19). Forty single isolates were derived from the collected samples of Lr 9 and Lr 19 (each with 20 isolates). Eight pathotypes were identified from Lr 9, while only two pathotypes were identified from Lr 19. The most frequent pathotype (virulent to Lr 9) was KTSPT (30% frequency), followed by TTTMS (25% frequency). The other pathotypes ranged from only 5%¨C10% frequency. Whereas, the most frequent pathotype (virulent to Lr 19) was CTTTT (85% frequency), while the lowest frequent one was PKTST (15% frequency). Pathotypes i.e. PRSTT, NTKTS and TTTMS (identified from Lr 9) were more aggressiveness on the most of the tested leaf rust monogenic lines than others, as they were virulent to 36, 35 and 35 lines from a total of 39 monogenic lines, respectively. Also, the two pathotypes; PKTST and CTTTT (identified from Lr 19) were virulent to 36 and 35 monogenic lines, respectively. Moreover, leaf rust pathotypes i.e. NPTNK and PRSTT (from Lr 9) and PKTST (from Lr 19) were the most aggressive on the tested wheat cultivars at seedling stage. Lr 2a was the most effective leaf rust resistance gene against the tested pathotypes at adult plant stage. On the other hand, the three wheat cultivars Misr 1, Misr 2 and Nubariya 1 proved to be the highly resistant cultivars against all the tested leaf rust pathotypes at adult plant stage. 5 Resistance of Aegilops longissima to the rusts of wheat | Plant Disease Stem rust (caused by Puccinia graminis f. sp. tritici), leaf rust (P. triticina), and stripe rust (P. striiformis f. sp. tritici) rank among the most important diseases of wheat worldwide. The development of resistant cultivars is the preferred method of controlling rust diseases because it is environmentally benign and also cost-effective. However, new virulence types often arise in pathogen populations, rendering such cultivars vulnerable to losses. The identification of new sources of resistance is key to providing long-lasting disease control against the rapidly evolving rust pathogens. Thus, the objective of this research was to evaluate the wheat wild relative Aegilops longissima for resistance to stem rust, leaf rust, and stripe rust at the seedling stage in the greenhouse. A diverse collection of 394 accessions of the species, mostly from Israel, was assembled for the study, but the total number included in any one rust evaluation ranged from 308 to 379. With respect to stem rust resistance, 18.2% and 80.8% of accessions were resistant to the widely virulent U.S. and Kenyan P. graminis f. sp. tritici races of TTTTF and TTKSK, respectively. The percentage of accessions exhibiting resistance to the U.S. P. triticina races of THBJ and BBBD was 65.9% and 52.2%, respectively. Over half (50.1%) of the Ae. longissima accessions were resistant to the U.S. P. striiformis f. sp. tritici race PSTv-37. Ten accessions (AEG-683-23, AEG-725-15, AEG-803-49, AEG-1274-20, AEG-1276-22, AEG-1471-15, AEG-1475-19, AEG-2974-0, AEG-4005-20, and AEG-8705-10) were resistant to all races of the three rust pathogens used in this study. Distinct differences in the geographic distribution of resistance and susceptibility were found in Ae. longissima accessions from Israel in response to some rust races. To P. graminis f. sp. tritici race TTKSK, populations with a very high frequency of resistance were concentrated in the central and northern part of Israel, whereas populations with a comparatively higher frequency of susceptibility were concentrated in the southern part of the country. The reverse trend was observed with respect to P. striiformis f. sp. tritici race PSTv-37. The results from this study demonstrate that Ae. longissima is a rich source of rust resistance genes for wheat improvement. 6 Genes WHEAT FRIZZY PANICLE and SHAM RAMIFICATION 2 independently regulate differentiation of floral meristems in wheat Here we characterized diploid and tetraploid wheat lines of various non-standard spike morphotypes, which allowed for identification of a new mutant allele of the WHEAT FRIZZY PANICLE ( WFZP ) gene that determines spike branching in diploid wheat Ttiticum monococcum L. Moreover, we found that the development of SSs and spike branching in wheat T. durum Desf. was a result of a wfzp-A/TtBH-A1 mutation that originated from spontaneous hybridization with T. turgidum convar. §ãompositum (L.f.) Filat. Detailed characterization of the false-true ramification phenotype controlled by the recessive sham ramification 2 ( shr2 ) gene in tetraploid wheat T. turgidum L. allowed us to suggest putative functions of the SHR2 gene that may be involved in the regulation of spikelet meristem fate and in specification of floret meristems. The results of a gene interaction test suggested that genes WFZP and SHR2 function independently in different processes during spikelet development, whereas another spike ramification gene(s) interact(s) with SHR2 and share(s) common functions. 7 Allelic composition and associated quality traits of the Glu-1 and Glu-3 loci in selected modern Ethiopian durum wheat varieties Gluten protein determines the processing quality of both durum wheat and bread wheat. The glutenin subunits compositions and associated quality traits of 20 Ethiopian durum wheat varieties were systematically analyzed using SDS-PAGE and Payne numbers. A total of 16 glutenin patterns were identified. At the Glu-A1 locus, all varieties scored the null allele. The predominant glutenin alleles at the Glu-B1 locus were Glu-B1b (7+8) and Glu-B1e (20). In Glu-3, the most abundant glutenin subunits were Glu-A3a and Glu-B3c. Based on the Payne scores, the varieties Yerer, Ginchi, Candate, and Foka were identified to have allelic composition suitable for pasta making. The cluster analysis using agglomerative hierarchical clustering (AHC) method classified the varieties into four similarity classes. Based on the findings of this experiment, suggestions were made for allelic composition improvement through introgression of superior alleles from known Glu-1 and Glu-3 sources. 8 The NB-LRR gene Pm60 confers powdery mildew resistance in wheat »¶Ó­¶ÔÕâƪÎÄÕ¸ÐÐËȤµÄС»ï°é¸øÎÒÃÇд¸ö½â¶Á»òµ¼¶Á¡£ Powdery mildew is one of the most devastating diseases of wheat. To date, few powdery mildew resistance genes have been cloned from wheat due to the size and complexity of the wheat genome. Triticum urartu is the progenitor of the A genome of wheat and is an important source for powdery mildew resistance genes. Using molecular markers designed from scaffolds of the sequenced T. urartu accession and standard map-based cloning, a powdery mildew resistance locus was mapped to a 356-kb region, which contains two nucleotide-binding and leucine-rich repeat domain (NB-LRR) protein-encoding genes. Virus-induced gene silencing, single-cell transient expression, and stable transformation assays demonstrated that one of these two genes, designated Pm60 , confers resistance to powdery mildew. Overexpression of full-length Pm60 and two allelic variants in Nicotiana benthamiana leaves induced hypersensitive cell death response, but expression of the coiled-coil domain alone was insufficient to induce hypersensitive response. Yeast two-hybrid, bimolecular fluorescence complementation and luciferase complementation imaging assays showed that Pm60 protein interacts with its neighboring NB-containing protein, suggesting that they might be functionally related. The identification and cloning of this novel wheat powdery mildew resistance gene will facilitate breeding for disease resistance in wheat. 9 Identification of QTL for flag leaf length in common wheat and their pleiotropic effects Leaf size is an important factor contributing to the photosynthetic capability of wheat plants. It also significantly affects various agronomic traits. In particular, the flag leaves contribute significantly to grain yield in wheat. A recombinant inbred line (RIL) population developed between varieties with significant differences in flag leaf traits was used to map quantitative trait loci (QTL) of flag leaf length (FLL) and to evaluate its pleiotropic effects on five yield-related traits, including spike length (SL), spikelet number per spike (SPN), kernel number per spike (KN), kernel length (KL), and thousand-kernel weight (TKW). Two additional RIL populations were used to validate the detected QTL and reveal the relationships in different genetic backgrounds. Using the diversity arrays technology (DArT) genetic linkage map, three major QTL for FLL were detected, with single QTL in different environments explaining 8.6¨C23.3% of the phenotypic variation. All the QTL were detected in at least four environments, and validated in two related populations based on the designed primers. These QTL and the newly developed primers are expected to be valuable for fine mapping and marker-assisted selection in wheat breeding programs. 10 The repetitive landscape of the 5100 Mbp barley genome Here, we present an analysis of the repetitive fraction of the 5100 Mb barley genome, the largest angiosperm genome to have a near-complete sequence assembly. Genes make only about 2% of the genome, while over 80% is derived from TEs. The TE fraction is composed of at least 350 different families. However, 50% of the genome is comprised of only 15 high-copy TE families, while all other TE families are present in moderate or low copy numbers. We found that the barley genome is highly compartmentalized with different types of TEs occupying different chromosomal ¡°niches¡±, such as distal, interstitial, or proximal regions of chromosome arms. Furthermore, gene space represents its own distinct genomic compartment that is enriched in small non-autonomous DNA transposons, suggesting that these TEs specifically target promoters and downstream regions. Furthermore, their presence in gene promoters is associated with decreased methylation levels. 11 TaNTF2, a contributor for wheat resistance to the stripe rust pathogen Nuclear Transport Factor 2 (NTF2) functions as a critical regulator in balancing the GTP-and GDP-bound forms of Ran, a class of evolutionarily conserved small GTP-binding protein. During the incompatible interaction between wheat-Puccinia striiformis f. sp. tritici (Pst), a cDNA fragment encoding a putative wheat NTF2 gene was found to be significantly induced, suggesting a potential role in wheat resistance to Pst. In this work, the full length of TaNTF2 was obtained, with three copies located on 7A, 7B and 7D chromosomes, respectively. QRT-PCR further verified the up-regulated expression of TaNTF2 in response to avirulent Pst. In addition, TaNTF2 was also induced by exogenous hormone applications, especially JA treatment. Transient expression of TaNTF2 in tobacco cells confirmed its subcellular localization in the cytoplasm, perinuclear area and nucleus. And virus induced gene silencing (VIGS) was used to identify the function of TaNTF2 during an incompatible wheat-Pst interaction. When TaNTF2 was knocked down, resistance of wheat to avirulentPst was decreased, with a bigger necrotic spots, and higher numbers of hyphal branches and haustorial mother cells. Our results demonstrated that TaNTF2 was a contributor for wheat resistance to the stripe rust pathogen, which will help to comprehensively understand the NTF2/Ran modulating mechanism in wheat-Pst interaction. 12 Loss of AvrSr50 by somatic exchangein stem rust leads to virulence forSr50 resistance in wheat 13 Variation in the AvrSr35 genedetermines Sr35 resistance againstwheat stem rust race Ug99 14 ZmCCT9 enhances maize adaptation to higher latitudes ×îºóһƪÊǹØÓÚÓñÃ×µÄÎÄÕ£¬¸ÃÎÄ·¢±íÔÚPNASÉÏ£¬ÒªÍƼö¸ø×öͼλ¿Ë¡µÄС»ï°é¡£ »¶Ó­¹Ø×¢ ¡° СÂóÑо¿ÁªÃË ¡±£¬ Á˽âСÂóнøÕ¹ Çëµã»÷´Ë´¦ÊäÈëͼƬÃèÊö Ͷ¸å¡¢×ªÔØ¡¢ºÏ×÷ÒÔ¼°ÐÅÏ¢·Ö²¼µÈÇëÁªÏµ£º wheatgenome
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mashengwei 2017-12-30 10:12
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mashengwei 2017-12-28 09:15
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mashengwei 2017-12-26 17:13
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mashengwei 2017-12-25 23:03
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mashengwei 2017-12-22 21:45
СÂóÒ»ÖÜÎÄÏ×ÍÆËÍ ´ó¼Ò²»ÒªÍüÁËÎÒÃÇ×òÈÕµÄÔ¼¶¨¡£Ë×»°Ëµ¼Æ»®¸Ï²»Éϱ仯£¬±¾À´ÕâÖܵÄÎÄÏ×ÍƼöÓ¦¸ÃÃ÷ÌìÍÆËÍ£¬µ«Ã÷Ìì»Ô¸çÓÐÖØÒªµÄÊÂÇéҪ˵¡£ËùÒÔ£¬Ë÷ÐÔÎÒÃǾ͵÷ÕûÏ£¬½ñÌìÀ´ÍÆËÍÒ»ÖܵÄÎÄÏ×ËÙÀÀ¡£ 1 AetMYC1, the Candidate Gene Controlling the Red Coleoptile Trait in Aegilops tauschii Coss. Accession As77 The red coleoptile trait can help monocotyledonous plants withstand stresses, and key genes responsible for the trait have been isolated from Triticum aestivum , Triticum urartu , and Triticum monococcum , but no corresponding research has been reported for Aegilops tauschii . In this research, transcriptome analysis was performed to isolate the candidate gene controlling the white coleoptile trait in Ae. tauschii . There were 5348 upregulated, differentially-expressed genes (DEGs) and 4761 downregulated DEGs in red coleoptile vs. white coleoptile plants. Among these DEGs, 12 structural genes and two transcription factors involved in anthocyanin biosynthesis were identified. The majority of structural genes showed lower transcript abundance in the white coleoptile of accession ¡®As77¡¯ than in the red coleoptile of accession ¡®As60¡¯, which implied that transcription factors related to anthocyanin biosynthesis could be the candidate genes. The MYB and MYC transcription factors AetMYB7D and AetMYC1 were both isolated from Ae. tauschii accessions ¡®As60¡¯ and ¡®As77¡¯, and their transcript levels analyzed. The coding sequence and transcript level of AetMYB7D showed no difference between ¡®As60¡¯ and ¡®As77¡¯. AetMYC1p encoded a 567-amino acid polypeptide in ¡®As60¡¯ containing the entire characteristic domains, bHLH-MYC_N, HLH, and ACT-like, belonging to the gene family involved in regulating anthocyanin biosynthesis. AetMYC1w encoded a 436-amino acid polypeptide in ¡®As77¡¯ without the ACT-like domain because a single nucleotide mutation at 1310 bp caused premature termination. Transient expression of AetMYC1p induced anthocyanin biosynthesis in ¡®As77¡¯ with the co-expression of AetMYB7D , while AetMYC1w could not cause induced anthocyanin biosynthesis under the same circumstances. Moreover, the transcript abundance of AetMYC1w was lower than that of AetMYC1p . AetMYC1 appears to be the candidate gene controlling the white coleoptile trait in Ae. tauschii , which can be used for potential biotech applications, such as producing new synthetic hexaploid wheat lines with different coleoptile colors. 2 Production and molecular characterization of bread wheat lines with reduced amount of ¦Á-type gliadins Here, three bread wheat deletion lines (Gli-A2, Gli-D2 and Gli-A2/Gli-D2) at the Gli-2 loci were generated by the introgression in the bread wheat cultivar Pegaso of natural mutations, detected in different bread wheat cultivars. The molecular characterization of these lines allowed the isolation of 49 unique expressed genes coding ¦Á-type gliadins, that were assigned to each of the three Gli-2 loci. The number and the amount of ¦Á-type gliadin transcripts were drastically reduced in the deletion lines. In particular, the line Gli-A2/Gli-D2 contained only 12 active ¦Á-type gliadin genes (−75.6% respect to the cv. Pegaso) and a minor level of transcripts (−80% compared to cv. Pegaso). Compensatory pleiotropic effects were observed in the two other classes of gliadins (¦Ø- and ¦Ã-gliadins) either at gene expression or protein levels. Although the comparative analysis of the deduced amino acid sequences highlighted the typical structural features of ¦Á-type gliadin proteins, substantial differences were displayed among the 49 proteins for the presence of toxic and immunogenic epitopes. 3 Physiological and transcriptomic analyses of a yellow-green mutant with high photosynthetic efficiency in wheat (Triticum aestivum L.) Optimizing the antenna size by reducing the chlorophyll (Chl) content is an effective strategy to improve solar energy conversion efficiencies in dense crop monocultures. To elucidate the physiological and molecular mechanisms that regulate Chl biosynthesis and understand the effects of lower Chl content on the photosynthetic process, a light-intensity-dependent yellow-green wheat mutant ( Jimai5265yg ) was characterized to determine its morphological, histological, physiological, and transcriptional differences with wild type. In addition to lower Chl content with a higher Chl a/b ratio, Jimai5265yg has spherical chloroplasts with few plastoglobule. It is counterintuitive that the photochemical quantum yield of both photosystem I and photosystem II and the following CO2 assimilation rate significantly increased, but the value of nonphotochemical quenching decreased, indicating a reduction of the photoprotective capacity of this yellow-green mutant. Analysis of intermediate pools and the expression of genes in the Chl synthesis pathway indicated that Mg-protoporphyrin IX (Mg-Proto IX) synthesis was partially blocked due to the imbalanced expression of Mg-chelatase subunits. Interestingly, the expression of photosynthesis-associated nuclear genes (PhANGs) was upregulated, resembling gun mutants which have defects in the Mg-Proto IX-mediated plastid-to-nucleus signaling pathway. A genetic analysis indicated that the yellow-green phenotype was controlled by two nuclear recessive genes located on chromosomes 4AL and 4BL. Jimai5265yg is a novel chlorina mutant which could be used for understanding photosynthesis improvement mechanisms. 4 Mapping QTLs for grain yield components in wheat under heat stress The current perspective of increasing global temperature makes heat stress as a major threat to wheat production worldwide. In order to identify quantitative trait loci (QTLs) associated with heat tolerance, 251 recombinant inbred lines (RILs) derived from a cross between HD2808 (heat tolerant) and HUW510 (heat susceptible) were evaluated under timely sown (normal) and late sown (heat stress) conditions for two consecutive crop seasons; 2013¨C14 and 2014¨C15. Grain yield (GY) and its components namely, grain weight/spike (GWS), grain number/spike (GNS), thousand grain weight (TGW), grain filling rate (GFR) and grain filling duration (GFD) were recorded for both conditions and years. The data collected for both timely and late sown conditions and heat susceptibility index (HSI) of these traits were used as phenotypic data for QTL identification. The frequency distribution of HSI for all the studied traits was continuous during both the years and also included transgressive segregants. Composite interval mapping identified total 24 QTLs viz ., 9 (timely sown traits), 6 (late sown traits) and 9 (HSI of traits) mapped on linkage groups 2A, 2B, and 6D during both the crop seasons 2013¨C14 and 2014¨C15. The QTLs were detected for GWS (6), GNS (6), GFR (4), TGW (3), GY (3) and GFD (2). The LOD score of identified QTLs varied from 3.03 ( Qtgns . iiwbr-6D ) to 21.01 ( Qhsitgw . iiwbr-2A ) during 2014¨C15, explaining 11.2 and 30.6% phenotypic variance, respectively. Maximum no of QTLs were detected in chromosome 2A followed by 6D and 2B. All the QTL detected under late sown and HSI traits were identified on chromosome 2A except for QTLs associated with GFD. Fifteen out of 17 QTL detected on chromosome 2A were clustered within the marker interval between gwm448 and wmc296 and showed tight linkage with gwm122 and these were localized in 49¨C52 cM region of Somers consensus map of chromosome 2A i.e. within 18¨C59.56 cM region of chromosome 2A where no QTL related to heat stress were reported earlier. Besides, three consistent QTLs, Qgws . iiwbr-2A , Qgns . iiwbr-2A and Qgns . iiwbr-2A were also detected in all the environments in this region. The nearest QTL detected in earlier studies, QFv/Fm . cgb-2A was approximately 6cM below the presently identified QTLs region, respectively Additionally, QTLs for physiological and phenological traits and plant height under late sown and HSI of these traits were also detected on chromosome 2A. QTL for HSI of plant height and physiological maturity were located in the same genomic region of chromosome 2Awhereas QTLs for physiological and phonological traits under late sown were located 8cM and 33.5 cM below the genomic location associated with grain traits, respectively in consensus map of Somers. This QTL hot-spot region with consistent QTLs could be used to improve heat tolerance after validation. 5 Inferring defense-related gene families in Arabidopsis and wheat We employed three bioinformatics and genomics approaches to identifying candidate genes known to affect plant defense and to classifying these protein-coding genes into different gene families in Arabidopsis. These approaches predicted up to 1790 candidate genes in 11 gene families for Arabidopsis defense to biotic stresses. The 11 gene families included ABC, NLR and START, the three families that are already known to confer rust resistance in wheat, and eight new families. The distributions of predicted SNPs for individual rust resistance genes were highly skewed towards specific gene families, including eight one-to-one uniquely matched pairs: Lr21-NLR, Lr34-ABC, Lr37-START, Sr2-Cupin, Yr24-Transcription factor, Yr26-Transporter, Yr36-Kinase and Yr53-Kinase . Two of these pairs, Lr21 - NLR and Lr34 - ABC , are expected because Lr21 and Lr34 are well known to confer race-specific and race-nonspecific resistance to leaf rust ( Puccinia triticina ) and they encode NLR and ABC proteins. 6 Single Nucleotide Polymorphisms in B-Genome Specific UDP-Glucosyl Transferases Associated with Fusarium Head Blight Resistance and Reduced Deoxynivalenol Accumulation in Wheat Grain An in vitro spike culture method was optimized to evaluate Fusarium head blight (FHB) resistance in wheat ( Triticum aestivum ) and used to screen a population of ethyl methane sulfonate treated spike culture-derived variants (SCDV). Of the 134 SCDV evaluated, the disease severity score of 47 of the variants was ¡Ü30%. Single nucleotide polymorphisms (SNP) in the UDP-glucosyltransferase ( UGT ) genes, TaUGT-2B , TaUGT-3B , and TaUGT-EST , differed between AC Nanda (an FHB-susceptible wheat variety) and Sumai-3 (an FHB-resistant wheat cultivar). SNP at 450 and 1,558 bp from the translation initiation site in TaUGT-2B and TaUGT-3B , respectively were negatively correlated with FHB severity in the SCDV population, whereas the SNP in TaUGT-EST was not associated with FHB severity. Fusarium graminearum strain M7-07-1 induced early expression of TaUGT-2B and TaUGT-3B in FHB-resistant SCDV lines, which were associated with deoxynivalenol accumulation and reduced FHB disease progression. At 8 days after inoculation, deoxynivalenol concentration varied from 767 ppm in FHB-resistant variants to 2,576 ppm in FHB-susceptible variants. The FHB-resistant SCDV identified can be used as new sources of FHB resistance in wheat improvement programs. 7 Characterization of Leaf Rust and Stripe Rust Resistance in Spring Wheat ¡®Chilero¡¯ Since 1984, the ¡®Chilero¡¯ spring wheat line developed by CIMMYT has proven to be highly resistant to leaf rust and stripe rust. Amid efforts to understand the basis of resistance of this line, a recombinant inbred line (RIL) population derived from a cross between Avocet and Chilero was studied. The parents and RILs were characterized in field trials for leaf rust and stripe rust in three locations in Mexico between 2012 and 2015 and genotyped with DArT-array, DArT-GBS, and SSR markers. A total of 6,168 polymorphic markers were used to construct genetic linkage maps. Inclusive composite interval mapping detected four colocated resistance loci to both rust diseases and two stripe rust resistant loci in the Avocet ¡Á Chilero population. Among these, the quantitative trait locus (QTL) on chromosome 1BL was identified as a pleotropic adult plant resistance gene Lr46/Yr29 , whereas QLr.cim-5DS/QYr.cim-5DS was a newly discovered colocated resistance locus to both rust diseases in Chilero. Additionally, one new stripe rust resistance locus on chromosome 7BL was mapped in the current population. Avocet also contributed two minor colocated resistance QTLs situated on chromosomes 1DL and 4BS. The flanking SNP markers can be converted to breeder friendly Kompetitive Allele Specific PCR (KASP) markers for wheat breeding programs. 8 Analysis of aneuploid lines of bread wheat to map chromosomal locations of genes controlling root hair length BACKGROUND AND AIMS: Long root hairs enable the efficient uptake of poorly mobile nutrients such as phosphorus. Mapping the chromosomal locations of genes that control root hair length can help exploit the natural variation within crops to develop improved cultivars. Genetic stocks of the wheat cultivar 'Chinese Spring' were used to map genes that control root hair length. METHODS: Aneuploid stocks of 'Chinese Spring' were screened using a rapid method based on rhizosheath size and then selected lines were assayed for root hair length to identify chromosomes harbouring genes controlling root hair length. A series of lines with various fractional deletions of candidate chromosomes were then screened to map the root hair loci more accurately. A line with a deletion in chromosome 5A was analysed with a 90 000 single nucleotide polymorphism (SNP) array. The phosphorus acquisition efficiency (PAE) of one deletion line was compared with that of euploid 'Chinese Spring' by growing the seedlings in pots at low and luxury phosphorus supplies. KEY RESULTS: Chromosomes 1A, 1D and 5A were found to harbour genes controlling root hair length. The 90 000 SNP array identified two candidate genes controlling root hair length located on chromosome 5A. The line with a deletion in chromosome 5A had root hairs that were approx. 20 % shorter than euploid 'Chinese Spring', but this was insufficient to reduce its PAE. CONCLUSIONS: A rapid screen for rhizosheath size enabled chromosomal regions controlling root hair length to be mapped in the wheat cultivar 'Chinese Spring' and subsequent analysis with an SNP array identified candidate genes controlling root hair length. The difference in root hair length between euploid 'Chinese Spring' and a deletion line identified in the rapid screen was still apparent, albeit attenuated, when the seedlings were grown on a fully fertilized soil. 9 Introgression of the Aegilops speltoides Su1-Ph1 Suppressor into Wheat Meiotic pairing between homoeologous chromosomes in polyploid wheat is inhibited by the Ph1 locus on the long arm of chromosome 5 in the B genome. Aegilops speltoides (genomes SS), the closest relative of the progenitor of the wheat B genome, is polymorphic for genetic suppression of Ph1. Using this polymorphism, two major suppressor loci, Su1-Ph1 and Su2-Ph1 , have been mapped in Ae. speltoides. Su1-Ph1 is located in the distal, high-recombination region of the long arm of the Ae. speltoides chromosome 3S. Its location and tight linkage to marker Xpsr1205-3S makes Su1-Ph1 a suitable target for introgression into wheat. Here, Xpsr1205-3S was introgressed into hexaploid bread wheat cv. Chinese Spring (CS) and from there into tetraploid durum wheat cv. Langdon (LDN). Sequential fluorescence in situ hybridization and genomic in situ hybridization showed that an Ae. speltoides segment with Xpsr1205-3S replaced the distal end of the long arm of chromosome 3A. In the CS genetic background, the chromosome induced homoeologous chromosome pairing in interspecific hybrids with Ae. peregrina but not in progenies from crosses involving alien disomic substitution lines. In the LDN genetic background, the chromosome induced homoeologous chromosome pairing in both interspecific hybrids and progenies from crosses involving alien disomic substitution lines. We conclude that the recombined chromosome harbors Su1-Ph1 but its expression requires expression of complementary gene that is present in LDN but absent in CS. We suggest that it is unlikely that Su1-Ph1 and ZIP4-1 , a paralog of Ph1 located on wheat chromosomes 3A and 3B and Ae. tauschii chromosome 3D, are equivalent. The utility of Su1-Ph1 for induction of recombination between homoeologous chromosomes in wheat is illustrated. 10 Evolutionary history of the NAM-B1 gene in wild and domesticated tetraploid wheat Background The NAM-B1 gene in wheat has for almost three decades been extensively studied and utilized in breeding programs because of its significant impact on grain protein and mineral content and pleiotropic effects on senescence rate and grain size. First detected in wild emmer wheat, the wild-type allele of the gene has been introgressed into durum and bread wheat. Later studies have, however, also found the presence of the wild-type allele in some domesticated subspecies. In this study we trace the evolutionary history of the NAM-B1 in tetraploid wheat species and evaluate it as a putative domestication gene. Genotyping of wild and landrace tetraploid accessions showed presence of only null alleles in durum. Domesticated emmer wheats contained both null alleles and the wild-type allele while wild emmers, with one exception, only carried the wild-type allele. One of the null alleles consists of a deletion that covers several 100 kb. The other null-allele, a one-basepair frame-shift insertion, likely arose among wild emmer. This allele was the target of a selective sweep, extending over several 100 kb. The NAM-B1 gene fulfils some criteria for being a domestication gene by encoding a trait of domestication relevance (seed size) and is here shown to have been under positive selection. The presence of both wild-type and null alleles in domesticated emmer does, however, suggest the gene to be a diversification gene in this species. Further studies of genotype-environment interactions are needed to find out under what conditions selection on different NAM-B1 alleles have been beneficial. 11 De novo assembly and comparative analysis of the transcriptome of embryogenic callus formation in bread wheat (Triticum aestivum L.) Background During asexual reproduction the embryogenic callus can differentiate into a new plantlet, offering great potential for fostering in vitro culture efficiency in plants. The immature embryos (IMEs) of wheat ( Triticum aestivum L.) are more easily able to generate embryogenic callus than mature embryos (MEs). To understand the molecular process of embryogenic callus formation in wheat, de novo transcriptome sequencing was used to generate transcriptome sequences from calli derived from IMEs and MEs after 3d, 6d, or 15d of culture (DC). In total, 155 million high quality paired-end reads were obtained from the 6 cDNA libraries. Our de novo assembly generated 142,221 unigenes, of which 59,976 (42.17%) were annotated with a significant Blastx against nr, Pfam, Swissprot, KOG, KEGG, GO and COG/KOG databases. Comparative transcriptome analysis indicated that a total of 5194 differentially expressed genes (DEGs) were identified in the comparisons of IME vs. ME at the three stages, including 3181, 2085 and 1468 DEGs at 3, 6 and 15 DC, respectively. Of them, 283 overlapped in all the three comparisons. Furthermore, 4731 DEGs were identified in the comparisons between stages in IMEs and MEs. Functional analysis revealed that 271transcription factor (TF) genes (10 overlapped in all 3 comparisons of IME vs. ME) and 346 somatic embryogenesis related genes (SSEGs; 35 overlapped in all 3 comparisons of IME vs. ME) were differentially expressed in at least one comparison of IME vs. ME. In addition, of the 283 overlapped DEGs in the 3 comparisons of IME vs. ME, excluding the SSEGs and TFs, 39 possessed a higher rate of involvement in biological processes relating to response to stimuli, in multi-organism processes, reproductive processes and reproduction. Furthermore, 7 were simultaneously differentially expressed in the 2 comparisons between the stages in IMEs, but not MEs, suggesting that they may be related to embryogenic callus formation. The expression levels of genes, which were validated by qRT-PCR, showed a high correlation with the RNA-seq value. This study provides new insights into the role of the transcriptome in embryogenic callus formation in wheat, and will serve as a valuable resource for further studies addressing embryogenic callus formation in plants. 12 Chromosome Pairing in Hybrid Progeny between Triticum aestivum and Elytrigia elongata In this study, the intergeneric hybrids F1, F2, BC1F1, BC1F2, and BC2F1 from Elytrigia elongata and Triticum aestivum crosses were produced to study their chromosome pairing behavior. The average E. elongata chromosome configuration of the two F1hybrids agreed with the theoretical chromosome configuration of 21I+7II, indicating that the genomic constitution of this F1 hybrid was ABDStStEeEbEx. Compared with the BC1F1 generation, the BC2F1 generation showed a rapid decrease in the number of E. elongata chromosomes and the BC1F2 generation showed a more extensive distribution of E. elongata chromosomes. In addition, pairing between wheat and E. elongata chromosomes was detected in each of the wheat -E. elongata hybrid progenies, albeit rarely. Our results demonstrated that genomic in situ hybridization (GISH) using an E. elongata genomic DNA probe offers a reliable approach for characterizing chromosome pairing in wheat and E. elongata hybrid progenies. 13 POTAGE - Popseq Ordered Triticum Aestivum Gene Expression Ò»¸öСÂóÊý¾Ý¿â http://crobiad.agwine.adelaide.edu.au/potage/ 14 A novel wheat NAC transcription factor, TaNAC30, negatively regulates resistance of wheat to stripe rust ¾Ý˵³àù²¡¿¹ÐÔÒ²ÓëNACת¼Òò×ÓÓйأ¿ NAC transcription factors are widespread in the plant kingdom and play essential roles in the transcriptional regulation of defense responses. In this study, we isolated a novel NAC transcription factor gene, TaNAC30 , from a cDNA library constructed from wheat ( Triticum aestivum ) plants inoculated with the stripe rust pathogen Puccinia striiformis f. sp. tritici ( Pst ). TaNAC30 contains a typical NAM domain and localizes to the nucleus. Yeast one-hybrid assays revealed that TaNAC30 exhibits transcriptional activity and that its C-terminus is necessary for the activation of transcription. The expression of TaNAC30 increased when host plants were infected with a virulent race (CYR31) of the rust fungus Pst . Silencing of TaNAC30 by virus-induced gene silencing (VIGS) inhibited colonization of the virulent Pst isolate CYR31. Moreover, detailed histological analyses showed that silencing of TaNAC30 enhanced resistance to Pst by inducing a significant increase in the accumulation of H2O2. Finally, we overexpressed TaNAC30 in fission yeast and found that cell viability was severely reduced in TaNAC30 -transformed cells grown on medium containing H2O2. These results suggest that TaNAC30 negatively regulates plant resistance in a compatible wheat- Pst interaction. 15 Molecular Characterization and Functional Analysis of PR-1-like Proteins Identified from the Wheat Head Blight Fungus Fusarium graminearum ºÃ°É£¬Ëµ³àù²¡£¬³àù²¡¾ÍÀ´ÁË¡£ The group 1 pathogenesis-related (PR-1) proteins originally identified from plants and their homologues are also found in other eukaryotic kingdoms. Studies on non-plant PR-1-like (PR-1L) proteins have been pursued widely in humans/animals but rarely in filamentous ascomycetes. Here we report the characterization of four PR-1L proteins identified from the ascomycete fungus Fusarium graminearum, the primary cause of Fusarium head blight of wheat and barley. Molecular cloning revealed that the four FgPR-1L proteins are all encoded by small open reading frames (612 to 909 bp) that are often interrupted by introns, in contrast to plant PR-1 genes that lack introns. Sequence analysis indicated that all FgPR-1L proteins contain the PR-1-specific three-dimensional structure, and one of them features a C-terminal transmembrane (TM) domain that has not been reported for any stand-alone PR-1 proteins. Transcriptional analysis revealed that the four FgPR-1L genes are expressed in axenic cultures and in planta with different spatial/temporal expression patterns. Phylogenetic analysis indicated that fungal PR-1L proteins fall into three major groups, one of which harbors FgPR-1L-2-related TM-containing proteins from both phytopathogenic and human-pathogenic ascomycetes. Low-temperature SDS-PAGE and proteolytic assays indicated that the recombinant FgPR-1L-4 protein exists as a monomer and is resistant to subtilisin of the serine protease family. Functional analysis confirmed that deletion of the FgPR-1L-4 gene from the fungal genome results in significantly reduced virulence on susceptible wheat. This study provides the first example that the F. graminearum¨Cwheat interaction involves a pathogen-derived PR-1-like protein that affects fungal virulence on the host. 16 Physiologic Specialization of Puccinia triticina on Wheat in the United States in 2016 Leaves of wheat infected with the leaf rust fungus, Puccinia triticina, were obtained from farm fields and breeding plots at experimental stations in the Great Plains, Ohio River Valley, and southeastern states in 2016 in order to identify virulence phenotypes prevalent in the United States in different wheat growing regions. A total of 496 single uredinial isolates derived from the leaf rust collections were tested for virulence to 20 lines of Thatcher wheat that differ for single leaf rust resistance genes. A total of 71 virulence phenotypes were described in the United States in 2016. The three most common virulence phenotypes across the United States were MBTNB, MBDSD, and TNBJJ. Phenotype MBTNB is virulent to Lr11, and was most common in the soft red winter wheat region of the southeastern states and Ohio Valley. Phenotype MBDSD is virulent to Lr17 and Lr39, and was most common in the hard red winter wheat area of the southern Great Plains. Phenotype TNBJJ is virulent to Lr24 and Lr39, which are present in the hard red winter wheat cultivars. The P. triticina population in the United States was characterized by two major regional groups of virulence phenotypes in the Great Plains region where hard red winter and spring wheat cultivars are grown, and in the southeastern states and Ohio Valley region where soft red winter wheat cultivars are grown. Isolates from New York state differed the most for virulence compared to the other two major regions. 17 Genetic Relationship of Stripe Rust Resistance Genes Yr34 and Yr48 in Wheat and Identification of Linked KASP Markers The Australian continent was free from wheat stripe rust caused by Puccinia striiformis f. sp. tritici until exotic incursions occurred in 1979 and 2002. The 2002 incursion enabled the identification of a new stripe rust resistance gene (Yr34) in the advanced breeding line WAWHT2046. In this study, we developed and validated markers closely linked with Yr34, which is located in the distal region in the long arm of chromosome 5A. Four kompetitive allele-specific polymerase chain reaction (KASP) and three sequence-tagged site (STS) markers derived from the International Wheat Genome Sequencing Consortium RefSeq v1.0 scaffold-77836 cosegregated with Yr34. Markers sun711, sun712, sun725, sunKASP 109, and sunKASP 112 were shown to be suitable for marker-assisted selection in a validation panel of 71 Australian spring wheat genotypes, with the exception of cultivar Orion that carried the Yr34-linked alleles for sunKASP 109 and sunKASP 112. Markers previously reported to be linked with adult plant stripe rust resistance gene Yr48 also cosegregated with Yr34. Wheat genotypes carrying Yr34 and Yr48 produced identical haplotypes for the Yr34-linked markers identified in this study and those previously reported to be linked with Yr48. Phenotypic testing of genotypes carrying Yr34 and Yr48 showed that both genes conferred similar seedling responses to pre-2002 and post-2002 P. striiformis f. sp. tritici pathotypes. Further testing of 600 F2 plants from a cross between WAWHT2046 and RIL143 (Yr48) with P. striiformis f. sp. tritici pathotype 134 E16A+Yr17+Yr27+ failed to reveal any susceptible segregants. Our results strongly suggest that Yr34 and Yr48 are the same gene, and that Yr48 should be considered a synonym of Yr34. »¶Ó­¹Ø×¢ СÂóÑо¿ÁªÃË £¬Á˽âСÂóнøÕ¹
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mashengwei 2017-12-18 09:04
СÂóGWAS˼·×ܽá-2 Ê×ÏȸÐлÉÏ´ÎС»ï°éÃÇ»ý¼«²ÎÓë»°ÌâµÄÌÖÂÛ£¬Æäʵ¹ØÓÚManhattanͼÄǸöÎÊÌâÊÇÎÒ±ÏÒµ´ð±çµÄʱºòÒ»¸öÃÀ¹ú½ÌÊÚÎÊÎҵģ¬ÎÒÔÚËûµÄÑ­Ñ­ÉÆÓÕÖ®ÏÂÖÕÓڻشð³öÀ´ÁË¡£ÁíÍ⣬ÓÐһλС»ï°éÁôÑÔ˵¡°One of the biggest limitation of GWA approach is the spurious association, I think one can never get over¡±Ç°°ë¾äËùÖ¸³öµÄÎÊÌ⻹ÊǺÜÖпϵģ¬²»¹ýС±àÈÏΪºó°ë¾äÖÐµÄ ¡°never¡± ÔÚ¿ÆÑÐÓï¾³Öл¹ÊÇÉÙÓýϺá£Æäʵ¶ÔÓÚspurious association£¬²»Í¬µÄʵÑéÄ¿µÄ±¾Éí¾Í¿ÉÒÔ±ÜÃâÕâ¸öÎÊÌ⣬±ÈÈçspotblotchºÍrustµÈÖ÷Ч»ùÒòµÄGWAS¼ø¶¨¾Í¿ÉÒÔÖ±½ÓºöÂÔÄÇЩhighp valueµÄassociations¡£ÁíÍ⣬¶ÔÓÚÏñFHB¿¹ÐÔÕâÑùµÄGWAS¼ø¶¨£¬Ëä˵±ØÈ»»áÓкܶàlowconfidenceµÄassociations£¬µ«ÊÇÈç¹ûÎÒÃǵÄʵÑéÄ¿µÄÊÇΪÁË¿¹²¡ÓýÖÖ£¬ÄÇôGenomicselectionÒ²ËãÊÇÒ»ÖÖ½â¾ö°ì·¨°É¡£ÏÂÃæµÄͳ¼Æѧ˼·ÖÐÎÒÃÇ»á´Óͳ¼Æѧ½Ç¶ÈÔÙÌáÒ»ÏÂÕâ¸öÎÊÌâ¡£ GWAS Ò»°ã˼· 5. ÀûÓà sub-panel ×ö association ·ÖÎö¡£ ±ÈÈç×öСÂó¹Èµ°°×º¬Á¿µÄGWAS·ÖÎö£¬¾Í±ØÐëÒª¿¼Âǵ½²»Í¬Ð¡Âóclass£¨Ó²/Èí£©×ÔÉíËùº¬µ°°×ÖʵIJî±ð£¬ËùÒÔÈç¹ûËùÓõÄȺÌå°üº¬²»Í¬ÖÖÀàµÄСÂó£¬Óò»Í¬sub-class panelµ¥¶À·ÖÎöÒ²¿ÉÒÔ×öΪÎÄÕÂÖØÒªµÄÒ»²¿·Ö¡£ÓÖ±ÈÈç×ö´óÂóµÄGWAS£¬row-typeÊÇÒ»¸öºÜÃ÷ÏÔµÄÇø±ð£¬Wang et al. 2017 ÊǹØÓÚ´óÂóµÄspot blotch ¿¹²¡£¬×÷Õß·Ö±ðÓÃWhole, Two-rowed ºÍSix-rowed Èý¸öpanels×öÁËassociation analysis,Ô­ÒòÓÐÁ½¸ö£ºÔÚͳ¼ÆѧÉÏÓÐÁ½ÆªÖØÁ¿¼¶µÄÎÄÕÂ(Zhao et al. 2007; Zhao et al. 2011) À´ÌÖÂÛsub-structure association mappingµÄ±ØÒªÐÔ£¬ÁíÍâÉúÎïѧÒâÒåÉÏ£¬È·ÊµÓй۲쵽²»Í¬row type ´óÂó¶Ôspot blotch¿¹ÐÔ²»Í¬¡£ 6. Sub-panel ·ÖÎö¼ÌÐøÉîÈ룬¼ø¶¨³öһСÅúÓмÛÖµµÄ validation lines £¬¿ÉÓ¦ÓÃÓÚÒÔºó Genecloning ÏîÄ¿ÖУ¬±ÈÈç¿ÉÒÔÓÃÓÚ target capture ¡£ »¹ÊÇ Wang et al. 2017 Õâƪ ( ÆäʵÕâ¾ÍÊÇС±à×Ô¼ºµÄÎÄÕ£¬¹þ¹þ ), ×÷ÕßÀûÓÃÒ»²½²½µÄ sub-panel ×îÖÕ·¢ÏÖÔÚ six-rowed breeding lines £¨ 120 lines ×óÓÒ£¬Óà cluster ·ÖÎöÔÙ¾«¼òµ½ 50 ¸ö line ×óÓÒ£©ËùµÃ³öµÄ¿¹²¡ association µÄ p value ×îµÍ£¬Ö¤Ã÷Ä¿±ê»ùÒòÒÔ¼°ÏàÓ¦±íÐÍÔÚÕâ¸öСȺÌåÖÐÓкܺõķÖÀë¡£ËùÒÔÕâ¸öСȺÌå¿ÉÒÔ×÷ΪδÀ´»ùÒò¿Ë¡µÄ±¦¹óÖÖÖÊ×ÊÔ´£¬ÖÁÉÙ¿ÉÒÔÓÃÀ´×öµ¥±¶ÐÍ·ÖÎöÀ´ validate Ä¿±ê»ùÒò¡£ GWAS ½ø½×˼· Ç°Á½µãÊÇÎÒÔÚ×î³õ½Ó´¥ GWAS µÄʱºòËùѧµ½µÄ£¬ÎÒµ±Ê±¹Ø×¢ÕâÁ½µãÊÇ»ùÓÚÁ½¸ö˼¿¼£º 1 £©ÎÒËùÓÃµÄ barley panel ÊÇÃÀ¹úÅ©²¿ NSGC core accessions £¬ºÜ¶àÆäËûʵÑéÊÒ¶¼ÔÚÀûÓÃÕâ¸ö Panel ×ö²»Í¬µÄ traits £¬ÎÒÃÇÄܲ»ÄÜ°ÑËùÓÐµÄ traits ÁªºÏÆðÀ´×ö·ÖÎöÄØ£¿ 2 £©ÎÒ×öµÄÊÇ spot blotch £¬ÓÃÁËÈýÖÖ²»Í¬µÄÖ²¡¾úÖÖÀ´»ñµÃÈýÌײ»Í¬µÄ phenotyping data £¬Èç¹ûµ¥¶À·ÖÎö£¬µÃµ½µÄ¾ÍÊÇÕë¶ÔÈý¸ö²»Í¬Ö²¡ÖֵĿ¹ÐÔ£¬ÄÇÈç¹û°ÑÈýÌ× data ºÏÆðÀ´£¬µÃµ½µÄ½á¹ûÊDz»ÊÇ¿ÉÒÔËãÊǹãÆ׿¹ÐԵļø¶¨ÄØ£¿¸ù¾ÝÎÒËù¿´µ½µÄÎÄÕ£¬ÎÒµÄÏë·¨Ó¦¸ÃÊÇ¿ÉÐеġ£¿ÉϧµÄÊÇÔÚÎÒÃÇСÂóºÍ´óÂóÁìÓò£¬ÎÒÄ¿Ç°»¹Ã»Óп´µ½Ïà¹ØµÄÎÄÕ¡£ÎҴ󵨵ÄÔ¤²â£¬ÒÔºóËæןü¶àͳ¼Æѧ±³¾°ÒÔ¼°×öģʽֲÎïµÄ´óÅ£ÃÇתÏòСÂó£¬ÀàËÆÏÂÃæÁ½µãµÄÎÄÕÂÒ»¶¨»áÔÚСÂóÖгöÏÖ¡£ 1. Phenome-wide association study (PheWAS) or Pleiotropic association ¡°Phenomic approaches are complementary to the more prevalent paradigm of genome-wide association studies (GWAS), which have provided some information about the contribution of genetic variation to a wide range of diseases and phenotypes. While a typical GWAS evaluates the association between the variation of hundreds of thousands, to over a million, genotyped SNPs and one or a few phenotypes, a common limitation of GWAS is the focus on a pre-defined and limited phenotypic domain. An alternate approach is that of PheWAS, which utilizes all available phenotypic information and all genetic variants in the estimation of association between genotype and phenotype. By investigating the association between SNPs and a diverse range of phenotypes, a broader picture of the relationship between genetic variation and networks of phenotypes is possible.¡±(Sarah et al. 2013) 2. Meta-analysis of many genome-wide association studies ¡°The advent of genome-wide association studies has allowed considerable progress in the identification and robust replication of common gene variants that confer susceptibility to common diseases and other phenotypes of interest. These genetic effect sizes are almost invariably moderate to small in magnitude and single studies, even if large, are underpowered to detect them with confidence. Meta-analysis of many genome-wide association studies improves the power to detect more associations, and to investigate the consistency or heterogeneity of these associations across diverse datasets and study populations.¡± (Zeggini et al. 2009) ¸Õ²ÅÓÖ Google ÁËһϣ¬·¢ÏÖÓÐÁ½ÆªÔÚ rice/maize ÉÏ×ö Metabolite-pathway-based Phenome-Wide Association Scan (M-PheWAS) £º Lu et al. 2015; Chen et al. 2016. ÆÚ´ýÎÒÃÇСÂóÔÚÕâ¸öÁìÓòÒ²×·¸ÏÉÏÀ´¡£ ÏÂÃæÈýµãÊÇͳ¼Æѧ·½·¨ÉϵÄһЩ˼·£¬Ö÷ÒªÊÇ´Ó Frontiers researchtopics ÉÏÕª³­ÏÂÀ´µÄ£¬Íâ¼ÓÎÒ×Ô¼ºµÄһЩÀí½âºÍ×ܽᣨ https://www.frontiersin.org/research-topics/7228/the-applications-of-new-multi-locus-gwas-methodologies-in-the-genetic-dissection-of-complex-traits ÓÐÐËȤµÄС»ï°é¸Ï½ôͶ¸å°¡£¬Ð¡±àÒ²Õý×ÁÄ¥×ÅͶһƪ£©¡£ 3. Multi-locusGWAS method . How to use some available multi-locus GWAS methods and how to select them. ¿ÉÒԲο¼ Wen et al. 2017 ºÍ Tamba et al. 2017, ÕâÁ½ÆªÎÄÕÂͨѶ×÷Õ߶¼ÊÇÔ­À´ÎÒÔÚÄÏÅ©µÄ´óÌïÊÔÑéͳ¼ÆѧÀÏʦÕÂÔªÃ÷£¬ÕÂÀÏʦ°ô°ôµÄ£¡ 4. New technical clue and method to obtain high power and low false positive rate in GWAS. ÕâÓֻص½ÁËÎÒÃÇ¿ªÆªËùÌáµ½µÄ spurious association £¬Æäʵͳ¼Æѧ±³¾°µÄͬÐÐÃÇÒ»Ö±¶¼ÔÚŬÁ¦½â¾ö£¡¿ÉÒԲο¼ Yang, et al. 2014 ºÍ Li et al. 2012 £¬¶¼ÊÇÔçÆÚ²»´íµÄ GWAS ÎÄÕ£¬Ò»¸öÊÇÔÚ rice ÉÏ£¬Ò»¸öÊÇÔÚ human ÉÏ¡£ 5.Heritability missing in GWAS is a common phenomenon. ÏÂÃæÕâƪÎÄÕÂÌáÁËÈýµã¿ÉÄܵÄÔ­ÒòÒÔ¼°¿ÉÄܵĽâ¾ö°ì·¨£¨ Zhou et al. 2013 £©¡£ÁíÍ⣬ multi-locus GWAS methods Ò²¿ÉÄܰѶªµôµÄÒÅ´«¸øÕÒ»ØÀ´¡£ ¡°This missing heritability may be explained by (1) the existence of a large number of minor-effect alleles that remain unidentified; (2) incomplete LD between SNP markers and the causal gene, contributing to the underestimation of single QTL effects; and (3) the existence of gene-by-gene interactions (i.e. epistasis), since only single marker effects were tested in this study. One way to increase heritability is to increase the density of markers. In Arabidopsis, the amount of phenotypic variation accounted for in 44 different traits was moderately high (at least one significant SNP marker with MAF C15 % was found to explain at least 20 % of phenotypic variation) because 250,000 SNP markers were used in the analysis.¡± ÆäËü˼· С±àÄÜÁ¦ÓÐÏÞ£¬³ýÁËÉϱߵÄ˼·ÒÔÍ⣬µ±È»»¹¿ÉÒÔÓ¦Óà GWAS Íæ³ö¸ü¶à»¨Ñù£¬±ÈÈç¿­¿­ÒÔÇ°µÄÍÆËÍ ¡° plant journal ÉÏ¿´µ½Ò»ÆªÐ¡ÂóÖê¸ß¹ØÁª·ÖÎöµÄÎÄÕ ¡± £¬»¹ÓÐÀûÓà GWAS À´¼ø¶¨»ùÒòµÄ£¬±ÈÈç ¡° ¿¹Ë뷢ѿ Phs-A1 λµãÑо¿½øÕ¹ ¡± ¡£×îºó£¬Ëæ×ÅСÂóÐòÁÐºÍ marker Ô½À´Ô½¶à£¬´ó¼Ò¿ÉÒÔ¸ü¶àµÄ½è¼øÔÚ rice ºÍÄâÄϽæÉÏ×öµÄ GWAS ÎÄÕ£¬±ÊÕßÔÚÕâÀï¾Í²»¸ü¶àÁоÙÁË¡£ ²Î¿¼ÎÄÏ× ( ½ñÌìµÄÎÄÏ×Óеã¶à£¬ÊÇ°´ÎÄÏ×ÔÚÎÄÖгöÏÖµÄÏȺó˳ÐòÅÅÁÐµÄ ) Wang et al. 2017. Genome-wide association mapping of spot blotch resistance to three different pathotypes of Cochliobolussativus in the USDA barley core collection, Mol. Breeding Zhao K, et al. 2007. An Arabidopsis example of association mapping in structured samples. PLoS Genet. Zhao K, et al. 2011. Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun. Sarah et al. 2013. Phenome-Wide Association Study (PheWAS) for Detection of Pleiotropy within the Population Architecture using Genomics and Epidemiology (PAGE) Network. PLoS Genet. Zeggini etal. 2009. Meta-analysis in genome-wide association studies. Pharmacogenomics. Lu et al. 2015. Systems Genetic Validation of the SNP-Metabolite Association in Rice Via Metabolite-Pathway-Based Phenome-Wide Association Scans. Frontiers in PlantScience. Chen et al. 2016. Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals. NatureCommunications. Wen et al. 2017. Methodologicalimplementation of mixed linear models in multi-locus genome-wide association studies. Brief Bioinform. Tamba et al. 2017. Iterative sure independence screening EM-Bayesian LASSO algorithm for multi-locus genome-wide association studies. PLoS Comput Biol. Yang, et al. 2014. Combining high-throughput phenotyping and genome-wide association studies to reveal natural genetic variation in rice. Nat. Commun. Li et al. 2012. Evaluating the effective numbers of independent tests and significant p-value thresholds in commercial genotyping arrays and public imputation reference datasets. Hum. Genet. Zhou et al. 2013. Genome-wide association mapping reveals genetic architecture of durable spot blotch resistance in US barley breeding germplasm. Mol. Breeding »¶Ó­¹Ø×¢¡° СÂóÑо¿ÁªÃË ¡± £¬Á˽âСÂóнøÕ¹
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mashengwei 2017-12-16 17:40
СÂóÒ»ÖÜÎÄÏ×ÍƼö£¨12.17£© 1¡¢QTL analysis of falling number and seed longevity in wheat (Triticum aestivum L.) Pre-harvest sprouting (PHS) and seed longevity (SL) are complex biological processes of major importance for agricultural production. In the present study, a recombinant inbred line (RIL) population derived from a cross between the German winter wheat (Triticum aestivum L.) cultivars History and Rubens was used to identify genetic factors controlling these two physiological seed traits. A falling number (FN) test was employed to evaluate PHS, while SL was measured using a germination test (and the speed of germination) after controlled deterioration. FN of the population was assessed in four environments; SL traits were measured in one environment. Four major quantitative trait loci (QTL) for FN were detected on chromosomes 4D, 5A, 5D, and 7B, whereas for SL traits, a major QTL was found on chromosome 1A. The FN QTL on chromosome 4D that coincided with the position of the dwarfing gene Rht-D1b only had effects in environments that were free of PHS. The remaining three QTL for FN were mostly pronounced under conditions conducive to PHS. The QTL on the long arm of chromosome 7B corresponded to the major gene locus controlling late maturity ¦Á-amylase (LMA) in wheat. The severity of the LMA phenotype became truly apparent under sprouting conditions. The position on the long arm of chromosome 1A of the QTL for SL points to a new QTL for this important regenerative seed trait. 2¡¢RNA-seq facilitates development of chromosome-specific markers and transfer of rye chromatin to wheat Transcriptome shotgun sequencing (RNA-seq) provides an abundant resource for developing molecular markers specifically related to functional genes. In this study, transcriptomes of Chinese rye cultivar Jingzhouheimai (JZHM) challenged with powdery mildew pathogen Bgt ( Blumeria graminis f. sp. tritici ) were obtained and used to develop expressed sequence tag (EST)-based simple sequence repeat (SSR) and sequence-tagged site (STS) markers. A total of 866 primer sets for EST-SSRs and STSs were designed, from which we developed 401 rye-specific markers. The highest level of polymorphism was observed in EST-SSRs (56.73%) followed by STS2 (49.07%) designed via rye-specific contigs and STS1 (35.90%) primers designed from upregulated contigs. Genotyping with newly developed markers along with cytogenetic techniques allowed us to identify nine wheat alien chromosome lines from the cross of Zhoumai 18/Jinghui 1 (Jinghui 1 is an amphiploid of wheat landrace Huixianhong and JZHM) carrying rye chromosome 6R or 6R segments of different length, which permitted preliminary location of the powdery mildew resistance gene PmJZHM6RL and 12 specific markers to 6RL FL 0.51¨C1.0. 5R-specific markers and genomic in situ hybridization/fluorescence in situ hybridization detected MtA5RL and T5AS¡¤5AL-5RL chromosomes among 41 F5 plants from the cross CS ph1bph1b /MA5R, and aberrations permitted the location of the hairy peduncle gene ( Hp ) and marker XLFZ3473 to the region 5RL FL 0.78¨C1.0 with another nine markers locating to 5RL 0.0¨C0.78. The chromosome-specific markers and chromosome aberrations developed in this study will facilitate the introgression of rye chromatin into wheat. 3¡¢Genome-wide identification and characterization of NB-ARC resistant genes in wheat (Triticum aestivum L.) and their expression during leaf rust infection Wheat ( Triticum aestivum L.) is an important cereal crop; however, its production is affected severely by numerous diseases including rusts. An efficient, cost-effective and ecologically viable approach to control pathogens is through host resistance. In wheat, high numbers of resistance loci are present but only few have been identified and cloned. A comprehensive analysis of the NB-ARC-containing genes in complete wheat genome was accomplished in this study. Complete NB-ARC encoding genes were mined from the Ensembl Plants database to predict 604 NB-ARC containing sequences using the HMM approach. Genome-wide analysis of orthologous clusters in the NB-ARC-containing sequences of wheat and other members of the Poaceae family revealed maximum homology with Oryza sativa indica and Brachypodium distachyon . The identification of overlap between orthologous clusters enabled the elucidation of the function and evolution of resistance proteins. The distributions of the NB-ARC domain-containing sequences were found to be balanced among the three wheat sub-genomes. Wheat chromosome arms 4AL and 7BL had the most NB-ARC domain-containing contigs. The spatio-temporal expression profiling studies exemplified the positive role of these genes in resistant and susceptible wheat plants during incompatible and compatible interaction in response to the leaf rust pathogen Puccinia triticina . Two NB-ARC domain-containing sequences were modelled in silico, cloned and sequenced to analyze their fine structures. The data obtained in this study will augment isolation, characterization and application NB-ARC resistance genes in marker-assisted selection based breeding programs for improving rust resistance in wheat. 4¡¢High-density SNP mapping reveals closely linked QTL for resistance to Stagonospora nodorum blotch (SNB) in flag leaf and glume of hexaploid wheat The genetic control of adult plant resistance to Stagonospora nodorum blotch (SNB) is complex consisting of genes with minor effects interacting in an additive manner. Earlier studies detected quantitative trait loci (QTL) for flag leaf resistance in successive years on chromosomes 1B, 2A, 2D, 5B using SSR- and DArT-based genetic maps of progeny from the crosses EGA Blanco/Millewa, 6HRWSN125/WAWHT2074 and P92201D5/P91193D1. Similarly, QTL for glume resistance detected in successive years and multiple environments were identified on chromosomes 2D and 4B from genetic maps of P92201D5/P91193D1 and 6HRWSN125/WAWHT2074, respectively. The SSR- and DArT-based genetic maps had an average distance of 6.5, 7.8 and 9.7 cM between marker loci for populations EGA/Millewa, P92201D5/P91193D1 and 6HRWSN125/WAWHT2074, respectively. This study used single nucleotide polymorphism (SNP) markers from the iSelect Infinium 90K genotyping array to fine map genomic regions harbouring QTL for flag leaf and glume SNB resistance reducing the average distance between markers to 2.9, 3.3 and 3.4 -3.4 cM for populations P92201D5/P91193D1, EGA/Millewa and 6HRWSN125/WAWHT2074, respectively. Increasing the marker density of the genetic maps with SNPs did not identify any new QTL for SNB resistance but discriminated previously identified co-located QTL into separate but closely linked QTL. 5¡¢Review on resistance to wheat blast disease (Magnaporthe oryzae Triticum) from the breeder point-of-view: use of the experience on resistance to rice blast disease This review on the resistance to wheat blast disease focus on the latest knowledge useful for the breeders, but also takes into account the lacks in these knowledge. To tackle this disease, it is relevant to apply a breeding strategy which has previously proven its efficacy for obtaining rice varieties with a high level of partial and durable resistance to blast. But, incomplete information is available on wheat blast resistance. Therefore, firstly, it is necessary to adjust this breeding strategy considering the worst hypothesis corresponding to every lack of knowledge. Next, the possible invalidation of every hypothesis can allow simplifying the breeding schema and its implementation. For every lack of knowledge, the practical consequences of the corresponding worst hypothesis, the study of its validity and the consequences of its possible invalidation are explained. Scientific arguments, materials and methods details are provided with the latest available references. 6¡¢Wheat genetic resources in the post-genomics era: promise and challenges 7¡¢B genome specific polymorphism in the TdDRF1 gene is in relationship with grain yield A and B genome copies of DRF1 gene in durum wheat were isolated and sequenced using gene variability. B genome specific polymorphism resulted, in a RIL population, in relationship with grain yield mainly in drought condition. Drought tolerance is one of the main components of yield potential and stability, and its improvement is a major challenge to breeders. Transcription factors are considered among the best candidate genes for developing functional markers, since they are components of the signal transduction pathways that coordinate the expression of several downstream genes. Polymorphisms of the Triticum durum dehydration responsive factor 1 (TdDRF1) gene that belongs to DREB2 transcription factor family were identified and specifically assigned to the A or B genome. A panel of primers was derived to selectively isolate the corresponding gene copies. These molecular information were also used to develop a new molecular marker: an allele-specific PCR assay discriminating two genotypes (Mohawk and Cocorit) was developed and used for screening a durum wheat recombinant inbred line population (RIL-pop) derived from the above genotypes. Phenotypic data from the RIL-pop grown during two seasons, under different environmental conditions, adopting an ¦Á-lattice design with two repetitions, were collected, analyzed and correlated with molecular data from the PCR assay. A significant association between a specific polymorphism in the B genome copy of the TdDRF1 gene and the grain yield in drought conditions were observed. 8¡¢QTL for stay-green traits in wheat in well-watered and water-limited environments ¡°Stay-green¡± plants retain green leaf area longer after flowering than senescent types. This can prolong carbon assimilation during grain filling, increasing yield, particularly under terminal drought stress. A population of doubled haploid wheats ( Triticum aestivum L.) derived from a cross between stay-green SeriM82 and senescent Hartog was grown in eight environments with varying degrees of water limitation. The dynamics of normalised difference vegetative index (NDVI) was followed post-flowering to evaluate change in leaf greenness. Quantitative trait loci (QTL) were identified for components of stay-green including i) maximum NDVI (Nmax), ii) an indicator of the maximum rate of senescence (SR), iii) thermal time from flowering to commencement of senescence (OnS), iv) thermal time from flowering to mid-senescence (MidS), and v) the integral of NDVI from flowering to 1500 ¡ãCd after flowering (SGint). Genetic regions associated with QTL for stay-green traits were identified (i) in both wet and dry environments on chromosomes 4A, 4B, 4D (constitutive stay-green); (ii) primarily in wetter environments on 2A and (iii) primarily in dryer environments on 5B. Other regions associated with QTL for stay-green were identified on 3B and 7B in a mixture of environment types. In some environments, stay-green QTL co-located with QTL for seminal root angle, seedling root number and/or for yield. Other stay-green QTL were co-located with yield but not seminal root angle and seedling root number. This suggests genetic regions associated with seminal root angle and seedling root number are not solely responsible for the high yielding, stay-green phenotype. Selection for stay-green traits will increase the rate of genetic progress for adaptation of wheat to both well-watered and water-limited environments. 9¡¢An Advanced Backcross Population through Synthetic Octaploid Wheat as a ¡°Bridge¡±: Development and QTL Detection for Seed Dormancy The seed dormancy characteristic is regarded as one of the most critical factors for pre-harvest sprouting (PHS) resistance. As a wild wheat relative species, Aegilops tauschii is a potential genetic resource for improving common wheat. In this study, an advanced backcross population (201 strains) containing only Ae. tauschii segments was developed by means of synthetic octaploid wheat (hexaploid wheat Zhoumai 18 ¡Á Ae. tauschii T093). Subsequently, seed dormancy rate (Dor) in the advanced backcross population was evaluated on the day 3, 5 and 7, in which 2 major QTLs ( QDor-2D and QDor-3D ) were observed on chromosomes 2D and 3D with phenotypic variance explained values (PVEs) of 10.25 and 20.40%, respectively. Further investigation revealed significant correlation between QDor-3D and Tamyb10 gene, while no association was found between the former and TaVp1 gene, implying that QDor-3D site could be of closer position to Tamyb10 . The obtained quantitative trait locus sites (QTLs) in this work could be applied to develop wheat cultivars with PHS resistance. 10¡¢miR430: the novel heat-responsive microRNA identified from miRNome analysis in wheat (Triticum aestivum L.) 11¡¢Genetic and Molecular Characterization of Leaf Rust Resistance in Two Durum Wheat Landraces Leaf rust, caused by Puccinia triticina, is a constraint to durum wheat (Triticum turgidum subsp. durum) production, and landraces are reported to be an important source of resistance. Two Portuguese landraces (Aus26582 and Aus26579) showed resistance against durum-specific P. triticina races and were crossed with a susceptible landrace (Bansi) to develop recombinant inbred line (RIL) populations. Monogenic segregation for leaf rust resistance was observed among both RIL populations. The underlying locus, temporarily named LrAW2, was mapped to the short arm of chromosome 6B in the Aus26582/Bansi population and five DArTseq markers cosegregated with LrAW2. Simple sequence repeat markers sun683 and sun684, developed from the chromosome survey sequence (CSS) contig 6BS 2963854, identified through BlastN search of cosegregating DArTseq markers in the International Wheat Genome Sequencing Consortium database, cosegregated with LrAW2. Comparison of the CSS contig 6BS 2963854-based sequences amplified from parental genotypes led to the development of marker sunKASP 60, which also showed close linkage with LrAW2. Markers sun684 and sunKASP 60 showed close association with LrAW2 in both RIL populations. The amplification of LrAW2-specific products by linked markers in Aus26582, Aus26579, and Guayacan (Lr61) indicated that LrAW2 may be Lr61. The alternate amplicon or haplotype produced with LrAW2-linked markers in Australian durum cultivars demonstrated their effectiveness in marker-assisted selection. 12 Genetic Diversity, Population Structure and Ancestral Origin of Australian Wheat Since the introduction of wheat into Australia by the First Fleet settlers, germplasm from different geographical origins has been used to adapt wheat to the Australian climate through selection and breeding. In this paper, we used 482 cultivars, representing the breeding history of bread wheat in Australia since 1840, to characterize their diversity and population structure and to define the geographical ancestral background of Australian wheat germplasm. This was achieved by comparing them to a global wheat collection using in-silico chromosome painting based on SNP genotyping. The global collection involved 2,335 wheat accessions which was divided into 23 different geographical subpopulations. However, the whole set was reduced to 1,544 accessions to increase the differentiation and decrease the admixture among different global subpopulations to increase the power of the painting analysis. Our analysis revealed that the structure of Australian wheat germplasm and its geographic ancestors have changed significantly through time, especially after the Green Revolution. Before 1920, breeders used cultivars from around the world, but mainly Europe and Africa, to select potential cultivars that could tolerate Australian growing conditions. Between 1921 and 1970, a dependence on African wheat germplasm became more prevalent. Since 1970, a heavy reliance on International Maize and Wheat Improvement Center (CIMMYT) germplasm has persisted. Combining the results from linkage disequilibrium, population structure and in-silico painting revealed that the dependence on CIMMYT materials has varied among different Australian States, has shrunken the germplasm effective population size and produced larger linkage disequilibrium blocks. This study documents the evolutionary history of wheat breeding in Australia and provides an understanding for how the wheat genome has been adapted to local growing conditions. This information provides a guide for industry to assist with maintaining genetic diversity for long-term selection gains and to plan future breeding programs. 13 Natural variation in photoperiodic flowering pathway and identification of photoperiod-insensitive accessions in wild wheat, Aegilops tauschii The D-genome progenitor of hexaploid wheat, Aegilops tauschii Coss., has a wide natural species range in central Eurasia and possesses wide natural variation in heading and flowering time. Here, we report identification of two Ae. tauschii accessions insensitive to short day length. Similarly to a loss or reduced degree of vernalization requirement, the photoperiod-insensitive mutations were found only in the early flowering sublineage (TauL1b) of Ae. tauschii . Quantitative trait locus (QTL) analyses using two F2 mapping populations showed that a QTL for heading time on the long arm of chromosome 5D was related to the early heading phenotype of the photoperiod-insensitive accessions under short-day conditions. In the photoperiod-insensitive accession, expression patterns of two flowering-related genes were altered under short-day conditions compared with the patterns in photoperiod-sensitive accessions. This study indicates that analysis of natural variations in the Ae. tauschii population is useful to find novel genetic loci controlling agronomically important traits. 14 Genetic and physical mapping of a putative Leymus mollis-derived stripe rust resistance gene on wheat chromosome 4A | Plant Disease Wheat stripe rust is one of the most damaging diseases of wheat worldwide. The wheat¨CLeymus mollis introgression line M8664-3 exhibits all-stage resistance to Chinese stripe rust races. Genetic analysis of stripe rust resistance was performed by crossing M8664-3 with the susceptible line Mingxian169. Analysis of the disease resistance of F2 and F2:3 populations revealed that its resistance to Chinese stripe rust race 33(CYR33) is controlled by a single dominant gene, temporarily designated as YrM8664-3. Genetic and physical mapping showed that YrM8664-3 is located in bin 4AL13-0.59-0.66 close to 4AL12-0.43-0.59 on chromosome 4AL and is flanked by SNP markers AX111655681 and AX109496237 with genetic distances of 5.3 and 2.3 cM, respectively. Resistance spectrum and position analyses indicated that YrM8664-3 may be a novel gene. Molecular detection using the markers linked to YrM8664-3 with wheat varieties which commonly cultivated and wheat¨CL. mollis derived lines showed that YrM8664-3 is also present in other wheat¨CL. mollis introgression lines, but absent in commercial common wheat cultivars. YrM8664-3 is thus a potentially valuable source of stripe rust resistance for breeding. 15 A novel wheat cysteine-rich receptor-like kinase gene CRK41 is involved in the regulation of seed germination under osmotic stress in Arabidopsis thaliana The bread wheat gene TaCRK41 encodes a cysteine-rich receptor kinase. It is down-regulated by various abiotic stresses and by exposure to abscisic acid. A transient expression experiment in Arabidopsis thaliana protoplasts involving a fusion between the sequence encoding green fluorescence protein and the TaCRK41 allele from either the salinity tolerant bread wheat cultivar Shanrong No. 3 (SR3) or its salinity sensitive progenitor cultivar Jinan 177 (JN177) showed that the TaCRK41 product is deposited in the cytoplasm. Recombinant TaCRK41 originating from both SR3 and JN177 displayed no kinase activity in vitro . The constitutive expression of TaCRK41 in A. thaliana resulted in a marked reduction in the plants¡¯ sensitivity to both exogenous abscisic acid and to salinity during germination. The level of ABA-induced transcription of ABI3 , ABI5 and the ABI5 -controlled genes EM1 and EM6 was significantly reduced in plants subjected to stress. The data support the idea that TaCRK41 is involved in the regulation of ABA-dependent germination under conditions of osmotic stress. 16 Characterization of QTLs for Root Traits of Wheat Grown under Different Nitrogen and Phosphorus Supply Levels Root is important in acquiring nutrients from soils. Developing marker-assisted selection for wheat root traits can help wheat breeders to select roots desirable for efficient acquisition of nutrients. A recombinant inbred line (RIL) population derived from wheat varieties Xiaoyan 54 and Jing 411 was used to detect QTLs for maximum root length and root dry weight (RDW) under control, low nitrogen and low phosphorus conditions in hydrophobic culture (HC). We totally detected 17 QTLs for the investigated root traits located at 13 loci on 11 chromosomes. These loci differentially expressed under different nutrient supplying levels. The RILs simultaneously harboring positive alleles or negative alleles of the most significant three QTLs for RDW, qRDW.CK-2A, qRDW.CK-2D , and qRDW.CK-3B , were selected for soil column culture (SC) trial to verify the effects of these QTLs under soil conditions. The RILs pyramiding the positive alleles not only had significantly higher shoot dry weight, RDW, nitrogen and phosphorus uptake in all the three treatments of the HC trial, but also had significantly higher RDW distribution in both the top- and sub-soils in the SC trial than those pyramiding the negative alleles. These results suggested that QTL analysis based on hydroponic culture can provide useful information for molecular design of wheat with large and deep root system. 17 A wheat MYB transcriptional repressor TaMyb1D regulates phenylpropanoid metabolism and enhances tolerance to drought and oxidative stresses in transgenic tobacco plants MYB transcription factors are involved in the regulation of plant development and response to biotic and abiotic stress. In this study, TaMyb1D, a novel subgroup 4 gene of the R2R3-MYB subfamily, was cloned from wheat (Triticum aestivum L.). TaMyb1D was localized in the nucleus and functioned as a transcriptional repressor. The overexpression of TaMyb1D in tobacco (Nicotiana tabacum) plants repressed the expression of genes related to phenylpropanoid metabolism and down-regulated the accumulation of lignin in stems and flavonoids in leaves. These changes affected plant development under normal conditions. The expression of TaMyb1D was ubiquitous and up-regulated by PEG6000 and H2O2 treatments in wheat. TaMyb1D-overexpressing transgenic tobacco plants exhibited higher relative water content and lower water loss rate during drought stress, as well as higher chlorophyll content in leaves during oxidative stress. The transgenic plants showed a lower leakage of ions as well as reduced malondialdehyde and H2O2 levels during conditions of drought and oxidative stresses. In addition, TaMyb1D up-regulated the expression levels of ROS- and stress-related genes in response to drought stress. Therefore, the overexpression of TaMyb1D enhanced tolerance to drought and oxidative stresses in tobacco plants. Our study demonstrates that TaMyb1D functions as a negative regulator of phenylpropanoid metabolism and a positive regulator of plant tolerance to drought and oxidative stresses. 18 Characterization of the CCT family and analysis of gene expression in Aegilops tauschii Flowering is crucial for reproductive success in flowering plant. The CCT domain-containing genes widely participate in the regulation of flowering process in various plant species. So far, the CCT family in common wheat is largely unknown. Here, we characterized the structure, organization, molecular evolution and expression of the CCT genes in Aegilops tauschii , which is the D genome donor of hexaploid wheat. Twenty-six CCT genes ( AetCCT ) were identified from the full genome of A . tauschii and these genes were distributed on all 7 chromosomes. Phylogenetic analysis classified these AetCCT genes into 10 subgroups. Thirteen AetCCT members in group A, C, H and G achieved rapid evolution based on evolutionary rate analysis. The AetCCT genes respond to different exogenous hormones and abiotic treatments, the expression of AetCCT4 , 7 , 8 , 11 , 12 , 16 , 17 , 19 , 21 and 22 showed a significant 24 h rhythm. This study may provide a reference for common wheat's evolution, domestication and evolvement rules, and also help us to understand the ecological adaptability of A . tauschii . »¶Ó­¹Ø×¢ СÂóÑо¿ÁªÃË £¬Á˽âСÂóнøÕ¹
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The genetic mechanisms controlling NUE are unknown. Positional cloning of a major quantitative trait locus (QTL) for N-related agronomic traits showed that the vernalization gene TaVRN-A1 was tightly linked with TaNUE1, the gene shown to influence NUE in wheat . Because of an Ala 180 /Val 180 substitution, TaVRN-A1a and TaVRN-A1b proteins interact differentially with TaANR1, a protein encoded by a wheat orthologue of Arabidopsis nitrate regulated 1 (ANR1). The transcripts of both TaVRN-A1 and TaANR1 were down-regulated by nitrogen. TaANR1 was functionally characterized in TaANR1::RNAi transgenic wheat, and in a natural mutant with a 23-bp deletion including 10 bp at the 5' end of intron 5 and 13 bp exon 6 in gDNA sequence in its gDNA sequence, which produced transcript that lacked the full 84-bp exon 6. Both TaANR1 and TaHOX1 bound to the Ala 180 /Val 180 position of TaVRN-A1 . Genetically incorporating favorable alleles from TaVRN-A1 , TaANR1 , and TaHOX1 increased grain yield from 9.84% to 11.58% in the field. Molecular markers for allelic variation of the genes that regulate nitrogen can be used in breeding programs aimed at improving NUE and yield in novel wheat cultivars. 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The research was done; a useful result was obtained. Ironically, had the protests succeeded and the trial been abandoned, the protesters would be unable to crow about the crop¡¯s failure. ¡± £¨×ª»ùÒò×÷Îïʧ°ÜÁË£¬µ«ËüµÄ·´¶ÔÕßҲͬÑùʧ°Ü¡£Ñо¿Íê³ÉÁ˲¢»ñµÃÁËÓÐÓõĽá¹û¡£Èç¹û·´¶ÔÕ߳ɹ¦µØÆÈʹ¸ÃÊÔÑé·ÅÆú£¬ÄÇ·´¶ÔÕ߾Ͳ»¿ÉÄÜÄÃת»ùÒò×÷Îïʧ°Ü˵ÊÂÁË£©¡£ÕæÊǼû¹ý»ìµ°µÄ£¬Ã»¼û¹ýÕâô»ìµ°µÄ¡£ ¡¶×ÔÈ»¡·ÉçÂÛ ×îºó˵ ¡° All who care about evidence-based policy-making should thank those who continue to struggle against both the difficulties of doing science and the added difficulties caused by people who would see science abandoned. We will all need the fruits ¡ª and the cereals ¡ª of their labours. ¡± £¨ËùÓйØÐÄÒÔÖ¤¾ÝΪ»ù´¡Öƶ¨Õþ²ßµÄÈ˶¼Ó¦µ±¸ÐлÄÇЩÓë¿ÆѧµÄ¼èÄÑÒÔ¼°ÓÉÓÚÄÇЩϣÍû¿Æѧ±»·ÅÆú¶øÔö¼ÓµÄÀ§ÄѼÌÐø¶·ÕùµÄÈË¡£ÎÒÃǶ¼ÐèÒªËûÃÇÐÁÀ͵ġ°Ë®¹û¡±¼° ¡° ¹ÈÎïʳƷ ¡± £©¿É¡¶×ÔÈ»¡·±ðÍüÁË£¬Ëü¶ÔÖйú¿Æѧ¼Ò½¯¸ßÃ÷µÈµÄµÄ Ôö¼ÓÁ¸Ê³×÷Îï²úÁ¿ ÓÖ Ôö¼Ó¾­¼Ã²ÆÕþÊÕÈë µÄ »·±£Éú̬ũҵ µÄ˶¹ûÊǸöʲô̬¶È £¿ ¡¶½ñÈÕÖйú¡·ÒÔ 9 ÖÖÓïÑÔ±¨µÀÁ˺ëÒãÉú̬ũ³¡µÄ³É¹¦Êµ¼ù £¬µ«ÕâÑùºÃµÄÑо¿½á¹ûÊÔͼ ¡° µÇ¶¥¡¶×ÔÈ»¡· ¡± È´²»Äܳɹ¦¡£ ¡¶×ÔÈ»¡·£¬ÄãÊDz»ÊDZ»×ª»ùÒòת»èÁËÍ·£¬²»ÖªÉ¶½Ðʧ°Ü£¿É¶½Ð³É¹¦£¿ ¸½£º http://www.nature.com/news/success-in-failure-1.17855 Nature | Editorial Success in failure A failed crop trial of genetically modified wheat still provides crucial lessons for those battling to provide the planet¡¯s growing population with a sustainable food supply. 25 June 2015 Updated: 1. 01 July 2015 It is rare for failures to be lauded in science. History, as it is often said, is written by the winner. The history of research is no different. Related stories ¡¤ GM wheat that emits pest alarm signals fails in field trials ¡¤ Departing head of biotech institute defends GM field trials ¡¤ Misplaced protest More related stories But failure in science is vital. Another clich¨¦ about history is equally applicable to scientific flops: people who are ignorant of them are doomed to repeat them. Which brings us to a green ¡ª and to some, an unpleasant ¡ª field in England. In 2012, a team based at Rothamsted Research, an agricultural-science institute a short train ride north of London, planted wheat that they had genetically modified to emit a chemical used by aphids as a warning that they are under attack. The researchers wanted to see whether this would give the crops a way of repelling the damaging pests. They thought that the chemical might also attract insect parasites alerted to the promised presence of aphids. Before they got the chance, the crops attracted a swarm of protesters. Opponents of genetic modification (GM) technology mounted an imaginative, if sometimes bizarre, campaign against the trial, complete with dubious scientific claims, loaves of bread adorned with cartoon cow heads, and videos promising to ¡®Take the Flour Back¡¯ complete with rock-music soundtrack. The research itself cost ¡ê732,000 (US$1.2 million) over five years. Securing the site from those who threatened to tear it up cost nearly ¡ê1.8 million. The idea behind what has, rather unfortunately, become known as ¡®whiffy wheat¡¯ showed promise in the laboratory. Yet in field trials the crop is an unquestionable failure. A paper published on 25 June in the journal Scientific Reports notes that the GM crops ¡°showed no reduction in aphids or increase in parasitism¡± compared with controls ( T. J. A. Bruce et al. Sci. Rep. http://doi.org/5sr; 2015 ). This is disappointing on many levels. First, because of the effort ¡ª and money ¡ª that has gone into the concept. Second, because GM crops will surely have a major role in providing a future sustainable food supply. As Earth¡¯s population grows, so does its appetite. Work aimed at increasing crop yields, by both GM and non-GM methods, is among the most crucial research being conducted on the planet. So hostility towards GM research ¡ª one reason why it is rare for such crop trials to reach field-scale studies in Europe ¡ª is still among the most important societal issues for science to address. Some opponents of GM crops have reacted with predictable claims: that the trial was a waste of money, that investment in GM science should therefore be cut off, and that this one set-back means the entire concept is flawed. Hardly. ¡°Considering all GM crops as a single case is increasingly problematic.¡± As with most negative results in research, things can still be learnt from this trial. The team might yet modify the way their crop emits the alarm pheromone and may experiment in areas with higher densities of parasites. The crop failed , but so did the protests. The research was done; a useful result was obtained. Ironically, had the protests succeeded and the trial been abandoned, the protesters would be unable to crow about the crop¡¯s failure. GM research continues at Rothamsted, as it does around the world. Some of it will work and some will not. Those who wish to make an argument against GM crops face major problems. The rise of new techniques such as CRISPR means that what is and is not a GM organism is an increasingly grey area, both scientifically and for regulators. And these crops, with all the controversy that comes with them, are no longer the sole preserve of huge agri-businesses. The use of GM technology is increasingly being passed to the people who really need it ¡ª those in developing countries who are trying to improve the agriculture of their nations. Considering all GM crops as a single case is increasingly problematic. Consumer-friendly traits, such as apples that do not turn brown, now vie with nutritional enhancement for developing nations and drought resistance. Small academic groups around the world are producing locally tailored varieties alongside the engineered staples that major companies sell in huge quantities to farmers in the developed world. And the debate is no longer limited to crops ¡ª on page 13 , we report on GM pigs that could soon make their way into the human food chain. All who care about evidence-based policy-making should thank those who continue to struggle against both the difficulties of doing science and the added difficulties caused by people who would see science abandoned. We will all need the fruits ¡ª and the cereals ¡ª of their labours. Journal name: Nature Volume: 523, Pages: 5 Date published: (02 July 2015) DOI: doi:10.1038/nature.2015.17855 Nature20150625_GM wheat that emits pest alarm signals fails in field trials http://www.nature.com/news/gm-wheat-that-emits-pest-alarm-signals-fails-in-field-trials-1.17854 Nature | News GM wheat that emits pest alarm signals fails in field trials Wheat modified to send out insect pheromones does not repel aphids. ¡¤ Daniel Cressey 25 June 2015 A pioneering genetically modified (GM) wheat crop that emits an insect alarm pheromone to ward off pests has not worked in field trials, disappointed researchers say. Scientists at Rothamsted Research, an agricultural science institute north of London, had hoped that promising experiments in the laboratory 1 ¡ª where the wheat did repel damaging aphids ¡ª would translate into the field, and would mean that crops could be grown using less insecticide. ¡°The disappointing thing was when we tested it in the field we didn¡¯t find any significant reduction . We didn¡¯t get the result that would have been useful in taking this forward,¡± says Toby Bruce, a chemical ecologist at Rothamsted. ¡°It was quite sad.¡± Related stories ¡¤ Departing head of biotech institute defends GM field trials ¡¤ Misplaced protest ¡¤ Nature news blog: Rothamsted trial attacked More related stories The field trials, whch started in 2012, attracted notoriety when anti-GM protestors threatened to destroy the crop and staged protests at the Rothamsted site. The protests did not disrupt the research, but making the site secure added around ¡ê1.8 million (US$2.8 million) to the study's research cost of ¡ê732,000. The levels of aphids seen in the field trials were low ¡ª so low that the wheat might not have needed to be sprayed with pesticides had it been a commercially planted field, the Rothamsted team says in a paper published today in Scientific Reports 2 . But compared to a control crop of wheat, the GM crops showed no improved yields, no reduction in aphids and no increase in attacks by aphid predators (such as parasitic wasps and ladybirds). ¡°The field is the ultimate arbiter,¡± says John Pickett, a chemical ecologist who led the work. ¡°This hypothesis was tested false.¡± Try, try again Pickett says that the researchers are not abandoning the pheromone idea altogether, because there are reasons to believe that it might work if the field trial is modified. François Verheggen, who works on insect pheromones and pest management at the University of Li¨¨ge in Belgium, says that it takes high levels of alarm pheromones to attract aphid predators. The pheromones emitted by the wheat in the Rothamsted trial would have reached sufficient levels only after around 71 days, leaving crops unprotected before then, he says. And, he adds, because the wheat in the trial released pheromones continually, the aphids might have become used to the signal. Aphids are repelled when they sense strong differences in pheromone emissions between one area and the next, he says. The Rothamsted team plans to modify their crop to emit the pheromone in a burst ¡ª simulating natural release ¡ª rather than continuously. They may also try to test the crop in areas that have much higher concentrations of parasitic wasps, Pickett says. Jonathan Gershenzon, who studies plant chemistry at the Max Planck Institute for Chemical Ecology in Jena, Germany, says that he would not have expected continuous emission of a pheromone to work. His team has previously shown that a transgenic version of the flowering plant Arabidopsis thaliana , which emits an alarm pheromone, is not protected against aphids 3 . ¡°It was good that they tried. It¡¯s a different system with wheat, it¡¯s a different aphid,¡± and they did it in field conditions, he says. ¡°I give them lots of points for trying and even more points for being willing to publish negative data. It shows how science can work.¡± Journal name: Nature DOI: doi:10.1038/nature.2015.17854 References 1. Beale, M. H. et al . Proc. Natl Acad. Sci. USA 103 , 10509 ¨C 10513 ( 2006 ). 1. Article 2. PubMed 3. ChemPort Show context 2. Bruce, T. J. A. et al . Sci. Rep. http://dx.doi.org/10.1038/srep11183 ( 2015 ). 0. PubMed Show context 3. Kunert, G. , Reinhold C. Gershenzon, J. et al . BMC Ecol. 10 , 23 ( 2010 ). 0. Article 1. PubMed 2. ChemPort ±¾ÎĵØÖ·: http://www.sciencenets.com/home.php?mod=spaceuid=38do=blogquickforward=1id=6236 ±¾ÎÄ·¢±íÔÚ¡¶ »ªÈË¿ÆѧÍø ¡· ²©¿Í £¬×ªÔØÇë×¢Ã÷³ö´¦²¢ÊðÉÏ×÷ÕßÐÕÃû£¬ÉÌÒµÓÃ;Ðë»ñµÃ×÷Õߺͱ¾Õ¾ÊÚȨ¡£¡£¡£¡£
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Flanking sequence determination and event-specific detection of genetically modified wheat B73-6-1 Junyi Xu, Jijuan Cao, Dongmei Cao, Tongtong Zhao, Xin Huang, Piqiao Zhang and Fengxia Luan Acta Biochim Biophys Sin 2013, 45: 416¨C421; doi: 10.1093/abbs/gmt016 Food Inspection Center, Liaoning Entry-Exit Inspection and Quarantine Bureau, Dalian 116001, China In order to establish a specific identification method for genetically modified (GM) wheat, exogenous insert DNA and flanking sequence between exogenous fragment and recombinant chromosome of GM wheat B73-6-1 were successfully acquired by means of conventional polymerase chain reaction (PCR) and thermal asymmetric interlaced (TAIL)-PCR strategies. Newly acquired exogenous fragment covered the full-length sequence of transformed genes such as transformed plasmid and corresponding functional genes including marker uidA, herbicide-resistant bar, ubiquitin promoter, and high-molecular-weight gluten subunit. The flanking sequence between insert DNA revealed high similarity with Triticum turgidum A gene (GenBank: AY494981.1). A specific PCR detection method for GM wheat B73-6-1 was established on the basis of primers designed according to the flanking sequence. This specific PCR method was validated by GM wheat, GM corn, GM soybean, GM rice, and non-GM wheat. The specifically amplified target band was observed only in GM wheat B73-6-1. This method is of high specificity, high reproducibility, rapid identification, and excellent accuracy for the identification of GM wheat B73-6-1. ͼÀý: СÂóB73-6-1»ùÒò×é·ÖÎö È«ÎÄ: http://abbs.oxfordjournals.org/content/45/5/416.full ÒýÓôËÎĵÄÎÄÏ×: 1 Transgenic cereals: Current status and future prospects 2 Loop-Mediated Isothermal Amplification for the Event-Specific Detection of Wheat B73-6-1 3 Event-Specific Qualitative and Quantitative Detection in Transgenic Soybean OsDREB3 Based on the 5 ' Flanking Sequence
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ÈÈ¶È 2 zhpd55 2013-5-15 17:06
СÂóÐÂƷϵ£¬²úÁ¿Ìá¸ß30% Öîƽ ¾ÝÎïÀíѧ¼Ò×éÖ¯Íø ( Phys.org ) 2013 Äê 5 Ô 14 ÈÕ ±¨µÀ£¬Ó¢¹ú¿Æѧ¼ÒÐû²¼ÒѾ­ÅàÓý³öµÄСÂóÐÂƷϵ£¬ÔçÆÚ±¨¸æÏÔʾÓëĿǰʹÓõÄСÂóƷϵÏà±È½Ï£¬²úÁ¿¿ÉÒÔÌá¸ß 30% ¡£ÕâÖÖСÂóÐÂƷϵÊÇÓÉÓ¢¹ú¹úÁ¢½£ÇÅÅ©ÒµÖ²ÎïѧÑо¿Ëù£¨ Cambridge-based National Institute of Agricultural Botany £©¿ª·¢ÅàÓýµÄ£¬ÊÇÑо¿ÈËÔ±½«ÖÖ×Ó¿â¿â´æµÄ¡°¹Å¡±ÖÖ×ÓÓëÏÖ´úÖÖ×Ó»ìºÏÔÓ½»µÃµ½µÄ¡£ Fig. 1 Scientists announce development of wheat strain that produces 30% greater yields Credit: Wikipedia. ÖØÒªµÄÊÇÆäÕû¸ö¹ý³Ì²»Éæ¼°»ùÒò¸ÄÔ죨 genetic modification £©£¬ÒòΪÀàËÆ»ùÒò¸ÄÔìËùµÃµ½µÄ¹ÈÎïÆ·ÖÖÔÚÐí¶à¹ú¼ÒÊÇÊôÓÚ½ûÖ¹µÄ¶ÔÏó¡£Ïà·´ , Ñо¿ÈËÔ±½«ÔÓ½»ÑùÆ·ºÍʹÓÃÅßÌ¥ÒÆÖ²¼¼Êõ£¨ embryo transfer techniques £©´øÀ´Ò»¸öȫеÄСÂóƷϵ£¬È´ÊÇÆÄÊÜ»¶Ó­µÄ¡£¾ÝÕâÖÖÐÂƷϵµÄ¿ª·¢Õß½²£¬µ½Ä¿Ç°ÎªÖ¹ , ËûÃÇÒѾ­¿´µ½²úÁ¿Ôö¼ÓÁË 30% ¡£±È´«Í³Ð¡ÂóƷϵÏà±È½Ï£¬ÐÂƷϵ¾ßÓиüÇ¿µÄ¿¹µ¹·ü¡¢¿¹³æº¦ºÍ¿¹¸ÉºµÄÜÁ¦¡£Õâ¸öÏûÏ¢ÆÄÊÜÓ¢¹úÈË»¶Ó­£¬ÊÇÒòΪËü¿ÉÒÔ»º½âÊܶñÁÓÌìÆøÓ°Ïì¶øµ¼ÖÂСÂó¼õ²ú£¬ÊÇÓ¢¹ú 10 ÄêÀ´Ê״γöÏÖСÂó×Ô¸ø¡£¸üÖØÒªµÄÊÇ , Ëæ×ÅÊÀ½çÈË¿Ú³ÖÐøÔö³¤£¬Ôö¼ÓСÂó²úÁ¿¶ÔÓÚÂú×ãÁ¸Ê³ÐèÇóÖÁ¹ØÖØÒª¡£×î½üµÄ¹À¼Æ±íÃ÷ , ÔÚÊÀ½ç·¶Î§ÄÚÈËÏûºÄµÄÈÈÁ¿¶à´ïÎå·ÖÖ®Ò»ÊÇÀ´×ÔСÂó¡£µ«ÊÇ¿Æѧ¼ÒÖ¸³ö , ¹ýÈ¥µÄ 15 Äê¼ä£¬Ð¡Âó²úÁ¿µÄÌá¸ß΢ºõÆä΢¡£Òò´ËÓпÆѧ¼ÒÌá³ö , ΪÁËÂú×ãÈË¿ÚÔö³¤¶ÔÁ¸Ê³µÄÐèÇóÁ¿£¬ÔÚδÀ´ 50 ÄêÁ¸Ê³²úÁ¿±ØÐë·­Ò»·¬¡£»»¾ä»°Ëµ , È«ÊÀ½çÔÚδÀ´ 50 ÄêÉú²úµÄÁ¸Ê³±ØÐ볬¹ý¹ýÈ¥ 10000 ÄêµÄÁ¸Ê³×ÜÁ¿£¬²ÅÄÜÂú×ãÈË¿ÚÔö³¤¶ÔÓÚÁ¸Ê³µÄÐèÇó£¨ http://www.wheatisp.org/ £©¡£ http://www.wheatisp.org/ СÂóÊÇ´ÓɽÑò²ÝżȻ»òÕß±ØÈ»Ñݱä¶øÀ´µÄ£¬´óÔ¼ÔÚͬһʱ¼ä , ÈËÃÇ¿ªÊ¼Ñ§»á×Ô¼ºÖÖֲʳÎï , ¸ÃÑо¿Ð¡×éÖ¸³ö , СÂóµÄÖÖÖ²×îÓпÉÄÜÆðÔ´ÓÚÖж«¡£´ÓÄÇʱÆð , ÈËÀàÒѾ­¼õÉÙÁËÖÖÖ²µÄСÂóÆ·ÖÖ , µ¼ÖÂÁËÖ²Îï×ÔÈ»¶àÑùÐÔµÄÖð½¥Ïûʧ¡£ÏÖ´úƷϵºÍÒ»Ö±±£´æÔÚÖÖ×Ó¿âµÄ¹ÅÀÏÑùÆ·µÄÔÓ½»ÓýÖÖ , ½«»á´ø»ØһЩ¶àÑùÐÔÆ·ÖÖ , ²¢ÔÚÕâÖÖÇé¿öÏ , ÓÐÏ£Íûµ¼Ö²úÁ¿Ôö¼Ó¡£²»ÐÒµÄÊÇÓÉÓÚÓ¢¹úÕþ¸®µÄ¹æ¶¨ ,5 ÄêÖ®ÄÚÐÂСÂóƷϵ²»ÄÜÉÌÒµ»¯ÔÚÓ¢¹úÖÖÖ²¡£Õâ¶Îʱ¼ä¼ä¸ô»á¸ø¿Æѧ¼ÒÒ»¸ö¸ü³¹µ×Ñо¿ÐÂƷϵµÄ»ú»á , È·¶¨ÐÂƷϵÊÇ·ñÒÀÈ»±£³ÖÆð³õ·¢ÏÖµÄÌØÕ÷¡£ ¸ü¶àÐÅÏ¢Çëä¯ÀÀ£º BBC £» No clear evidence that celiac disease increasing because farmers growing higher-gluten wheat £» Breakthough in wheat breeding science offers greater yields £» http://www.wheatisp.org/
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grantlujiang 2013-5-2 16:45
A 4-gigabase physical map unlocks the structure and evolution of the complex genome of Aegilops tauschii , the wheat D-genome progenitor http://www.pnas.org/content/early/2013/04/18/1219082110.abstract wheat D-genome progenitor.pdf Abstract The current limitations in genome sequencing technology require the construction of physical maps for high-quality draft sequences of large plant genomes, such as that of Aegilops tauschii , the wheat D-genome progenitor. To construct a physical map of the Ae. tauschii genome, we fingerprinted 461,706 bacterial artificial chromosome clones, assembled contigs, designed a 10K Ae. tauschii Infinium SNP array, constructed a 7,185-marker genetic map, and anchored on the map contigs totaling 4.03 Gb. Using whole genome shotgun reads, we extended the SNP marker sequences and found 17,093 genes and gene fragments. We showed that collinearity of the Ae. tauschii genes with Brachypodium distachyon , rice, and sorghum decreased with phylogenetic distance and that structural genome evolution rates have been high across all investigated lineages in subfamily Pooideae, including that of Brachypodieae. We obtained additional information about the evolution of the seven Triticeae chromosomes from 12 ancestral chromosomes and uncovered a pattern of centromere inactivation accompanying nested chromosome insertions in grasses. We showed that the density of noncollinear genes along the Ae. tauschii chromosomes positively correlates with recombination rates, suggested a cause, and showed that new genes, exemplified by disease resistance genes, are preferentially located in high-recombination chromosome regions.
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tjm9518 2009-9-20 19:20
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tjm9518 2008-12-12 11:09
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tjm9518 2008-12-9 09:06
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