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计数难以计数之物:通过靶向rRNA分子对细菌进行定量分析,以探究健康与疾病状态下的人体肠道微生物群

Counting the Countless: Bacterial Quantification by Targeting rRNA Molecules to Explore the Human Gut Microbiota in Health and Disease.

作者信息

Tsuji Hirokazu, Matsuda Kazunori, Nomoto Koji

机构信息

Basic Research Department, Yakult Central Institute, Tokyo, Japan.

Yakult Honsha European Research Center for Microbiology ESV, Gent-Zwijnaarde, Belgium.

出版信息

Front Microbiol. 2018 Jun 29;9:1417. doi: 10.3389/fmicb.2018.01417. eCollection 2018.

Abstract

Over the past decade, the advent of next-generation-sequencing tools has revolutionized our approach to understanding the human gut microbiota. However, numerical data on the gut bacterial groups-particularly low-cell-count microbiota, such as indigenous pathobionts, that are otherwise important components of the microbiota-are relatively limited and disparate. As a result, the comprehensive quantitative structure of the human gut microbiota still needs to be fully defined and standardized. With the aim of filling this knowledge gap, we have established a highly sensitive quantitative analytical system that is based on reverse transcription-quantitative PCR and targets microbial rRNA molecules. The system has already been validated in the precise, sensitive, and absolute quantification of more than 70 target bacterial groups belonging to various human gut bacterial clades, including predominant obligate and facultative anaerobes. The system demonstrates sensitivity several hundred times greater than that of other rRNA-gene-targeting methods. It is thus an efficient and valuable tool for exhaustive analysis of gut microbiota over a wide dynamic range. Using this system, we have to date quantified the gut microbiota of about 2,000 healthy Japanese subjects ranging in age from 1 day to over 80 years. By integrating and analyzing this large database, we came across several novel and interesting features of the gut microbiota, which we discuss here. For instance, we demonstrated for the first time that the fecal counts of not only the predominant bacterial groups but also those at lower cell counts conform to a logarithmically normal distribution. In addition, we revealed several interesting quantitative differences in the gut microbiota of people from different age groups and countries and with different diseases. Because of its high analytic sensitivity, the system has also been applied successfully to other body niches, such as in characterizing the vaginal microbiota, detecting septicemia, and monitoring bacterial translocation. Here, we present a quantitative perspective on the human gut microbiota and review some of the novel microbial insights revealed by employing this promising analytical approach.

摘要

在过去十年中,新一代测序工具的出现彻底改变了我们理解人类肠道微生物群的方式。然而,关于肠道细菌群的数值数据,尤其是低细胞数的微生物群,如本土致病共生菌,它们是微生物群的重要组成部分,但相对有限且分散。因此,人类肠道微生物群的全面定量结构仍需充分定义和标准化。为了填补这一知识空白,我们建立了一种基于逆转录定量PCR并以微生物rRNA分子为靶点的高灵敏度定量分析系统。该系统已在精确、灵敏和绝对定量属于各种人类肠道细菌进化枝的70多个目标细菌群方面得到验证,包括主要的专性和兼性厌氧菌。该系统的灵敏度比其他以rRNA基因为靶点的方法高数百倍。因此,它是在宽动态范围内对肠道微生物群进行详尽分析的有效且有价值的工具。使用该系统,我们迄今已对约2000名年龄从1天到80多岁的健康日本受试者的肠道微生物群进行了定量。通过整合和分析这个大型数据库,我们发现了肠道微生物群的几个新颖有趣的特征,在此进行讨论。例如,我们首次证明,不仅主要细菌群的粪便计数,而且低细胞数细菌群的粪便计数都符合对数正态分布。此外,我们揭示了来自不同年龄组、国家以及患有不同疾病的人群肠道微生物群在定量方面的一些有趣差异。由于其高分析灵敏度,该系统还已成功应用于其他身体部位,如表征阴道微生物群、检测败血症和监测细菌易位。在这里,我们从定量角度介绍人类肠道微生物群,并回顾采用这种有前景的分析方法所揭示的一些新颖的微生物见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c3f/6033970/b1ece31176d0/fmicb-09-01417-g0001.jpg

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