Takahashi Shunsuke, Tomita Junko, Nishioka Kaori, Hisada Takayoshi, Nishijima Miyuki
TechnoSuruga Laboratory Co., Ltd., Shizuoka-shi, Shizuoka, Japan.
PLoS One. 2014 Aug 21;9(8):e105592. doi: 10.1371/journal.pone.0105592. eCollection 2014.
For the analysis of microbial community structure based on 16S rDNA sequence diversity, sensitive and robust PCR amplification of 16S rDNA is a critical step. To obtain accurate microbial composition data, PCR amplification must be free of bias; however, amplifying all 16S rDNA species with equal efficiency from a sample containing a large variety of microorganisms remains challenging. Here, we designed a universal primer based on the V3-V4 hypervariable region of prokaryotic 16S rDNA for the simultaneous detection of Bacteria and Archaea in fecal samples from crossbred pigs (Landrace × Large white × Duroc) using an Illumina MiSeq next-generation sequencer. In-silico analysis showed that the newly designed universal prokaryotic primers matched approximately 98.0% of Bacteria and 94.6% of Archaea rRNA gene sequences in the Ribosomal Database Project database. For each sequencing reaction performed with the prokaryotic universal primer, an average of 69,330 (± 20,482) reads were obtained, of which archaeal rRNA genes comprised approximately 1.2% to 3.2% of all prokaryotic reads. In addition, the detection frequency of Bacteria belonging to the phylum Verrucomicrobia, including members of the classes Verrucomicrobiae and Opitutae, was higher in the NGS analysis using the prokaryotic universal primer than that performed with the bacterial universal primer. Importantly, this new prokaryotic universal primer set had markedly lower bias than that of most previously designed universal primers. Our findings demonstrate that the prokaryotic universal primer set designed in the present study will permit the simultaneous detection of Bacteria and Archaea, and will therefore allow for a more comprehensive understanding of microbial community structures in environmental samples.
基于16S rDNA序列多样性分析微生物群落结构时,对16S rDNA进行灵敏且稳定的PCR扩增是关键步骤。为获得准确的微生物组成数据,PCR扩增必须无偏差;然而,从包含多种微生物的样本中以同等效率扩增所有16S rDNA种类仍具有挑战性。在此,我们基于原核生物16S rDNA的V3-V4高变区设计了通用引物,使用Illumina MiSeq二代测序仪同时检测杂交猪(长白猪×大白猪×杜洛克猪)粪便样本中的细菌和古菌。电子分析表明,新设计的通用原核引物与核糖体数据库项目数据库中约98.0%的细菌和94.6%的古菌rRNA基因序列匹配。使用原核通用引物进行的每次测序反应平均获得69,330(±20,482)条 reads,其中古菌rRNA基因约占所有原核 reads的1.2%至3.2%。此外,在使用原核通用引物的NGS分析中,属于疣微菌门的细菌(包括疣微菌纲和OP11纲成员)的检测频率高于使用细菌通用引物的分析。重要的是,这套新的原核通用引物组的偏差明显低于大多数先前设计的通用引物。我们的研究结果表明,本研究设计的原核通用引物组将允许同时检测细菌和古菌,从而更全面地了解环境样本中的微生物群落结构。