文章：Primer and platform effects on 16SrRNA tag sequencing

杂志：Frontiers in Microbiology  2015

   研究方案：three different amplification primer sets (targeting V4, V6–V8, and V7–V8)三个区域 、two sequencing technologies (454 pyrosequencing and Illumina MiSeq) 454和Miseq测序、DNA from a mock community containing a known number of species as well as complex environmental samples（mock community）.

   2）稀释曲线的比较

   3）物种分类结果比较，不同的区域物种分类有较大区别

文章：Comparison of two next-generation sequencingtechnologies for resolving highly complexmicrobiota composition using tandem variable 16S rRNA gene regions

杂志：Nucleic Acids Research  2010

   研究结论：In silico evaluations predicted that the V3/V4 and V4/V5 regions would provide the highest classi-fication accuracies for both technologies. 计算的策略发现V3/V4、V4/V5的效果最好。但在实验中V3/V4会带来较大的bias，However, experimental sequencing of the V3/V4 region revealed significant amplification bias compared to the other regions, emphasising the necessity forexperimental validation of primer pairs.

   具体结果：1）reads稍长，分类效果较好

   2）454的数据要好于illumina的数据

   3）不同区域物种分类效果存在较大差异

文章：Evaluation of the RDP Classifier Accuracy Using 16S rRNA GeneVariable Regions

杂志：Metagenomics  2012

   利用SILVA的数据库数据，以E. Coli的16s序列为基础作为位置坐标去界定V1、V2...V9各个区域，用RDP进行分类，最终得到的结果如下，组合区域中V3-V5的效果较好，单个区域中V2、V4的效果较好。

   此处的研究未考虑样品实际处理过程中的引物扩增效率情况、不同分类工具的效果；