Establishment of an Analytical System for the Human Fecal Microbiota, Based on Reverse Transcription-Quantitative PCR Targeting of Multicopy rRNA Molecules

Author:

Matsuda Kazunori1,Tsuji Hirokazu1,Asahara Takashi1,Matsumoto Kazumasa1,Takada Toshihiko1,Nomoto Koji1

Affiliation:

1. Yakult Central Institute for Microbiological Research, 1796 Yaho, Kunitachi, Tokyo 186-8650, Japan

Abstract

ABSTRACT An analytical system based on rRNA-targeted reverse transcription-quantitative PCR (RT-qPCR) was established for the precise evaluation of human intestinal microbiota. Group- and species-specific primer sets for Clostridium perfringens , Lactobacillus spp. (six subgroups and three species), Enterococcus spp., and Staphylococcus spp. targeting 16S rRNA gene sequences were newly developed for the quantitative analysis of such subdominant populations in human intestines. They were used together with previously reported group-specific primer sets for Enterobacteriaceae , Pseudomonas spp., and six predominant bacterial groups (the Clostridium coccoides group, the Clostridium leptum subgroup, the Bacteroides fragilis group, Bifidobacterium spp., the Atopobium cluster, and Prevotella spp.) for the examination of fecal samples from 40 healthy adults by RT-qPCR with lower detection limits of 10 2 to 10 4 cells per g of feces. The RT-qPCR method gave data equivalent to those yielded by qPCR for predominant populations of more than 10 8 cells per g of feces and could quantify bacterial populations that were not detectable ( Staphylococcus and Pseudomonas ) or those only detected at lower incidences ( Prevotella , C. perfringens , Lactobacillus , and Enterococcus ) by qPCR or the culture method. The RT-qPCR analysis of Lactobacillus spp. at the subgroup level revealed that a subject has a mean of 4.6 subgroups, with an average count of log 10 (6.3 ± 1.5) cells per g of feces. These results suggest that RT-qPCR is effective for the accurate enumeration of human intestinal microbiota, especially the entire analysis of both predominant and subdominant populations.

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

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