Department of Life and Nanopharmaceutical Sciences and Department of Biology, Kyung Hee University, Seoul 130-701, Republic of Korea.
Research Group of Gut Microbiome, Division of Nutrition and Metabolism Research, Korea Food Research Institute, Sungnam 463-746, Republic of Korea.
Sci Data. 2018 Apr 24;5:180068. doi: 10.1038/sdata.2018.68.
High-quality and high-throughput sequencing technologies are required for therapeutic and diagnostic analyses of human gut microbiota. Here, we evaluated the advantages and disadvantages of the various commercial sequencing platforms for studying human gut microbiota. We generated fecal bacterial sequences from 170 Korean subjects using the GS FLX+ (V1-4), Illumina MiSeq (V1-3, V3-4 and V4), and PacBio (V1-9) systems. Comparative analyses revealed that the PacBio data showed the weakest relationship with the reference whole-metagenome shotgun datasets. The PacBio system generated sequences with a significantly higher level of deletions than datasets generated by other platforms, with an abnormally high proportion of sequences assigned to the phylum Proteobacteria. Low sequencing accuracy and low coverage of terminal regions in public 16 S rRNA databases deteriorate the advantages of long read length, resulting in low taxonomic resolution in amplicon sequencing of human gut microbiota.
高质量和高通量测序技术是治疗和诊断人类肠道微生物群的必要手段。在这里,我们评估了各种商业测序平台在研究人类肠道微生物群方面的优缺点。我们使用 GS FLX+(V1-4)、Illumina MiSeq(V1-3、V3-4 和 V4)和 PacBio(V1-9)系统从 170 名韩国受试者的粪便中生成细菌序列。比较分析表明,PacBio 数据与参考全宏基因组鸟枪法数据集的相关性最差。PacBio 系统生成的序列缺失率明显高于其他平台生成的数据集,其中被归类为变形菌门的序列比例异常高。公共 16S rRNA 数据库中测序准确性低和末端区域覆盖度低,降低了长读长的优势,导致人类肠道微生物群扩增子测序的分类分辨率低。