Division of Biology and Biological Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA, USA.
Division of Chemistry and Chemical Engineering, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA, USA.
Nat Commun. 2020 May 22;11(1):2590. doi: 10.1038/s41467-020-16224-6.
A fundamental goal in microbiome studies is determining which microbes affect host physiology. Standard methods for determining changes in microbial taxa measure relative, rather than absolute abundances. Moreover, studies often analyze only stool, despite microbial diversity differing substantially among gastrointestinal (GI) locations. Here, we develop a quantitative framework to measure absolute abundances of individual bacterial taxa by combining the precision of digital PCR with the high-throughput nature of 16S rRNA gene amplicon sequencing. In a murine ketogenic-diet study, we compare microbial loads in lumenal and mucosal samples along the GI tract. Quantitative measurements of absolute (but not relative) abundances reveal decreases in total microbial loads on the ketogenic diet and enable us to determine the differential effects of diet on each taxon in stool and small-intestine mucosa samples. This rigorous quantitative microbial analysis framework, appropriate for diverse GI locations enables mapping microbial biogeography of the mammalian GI tract and more accurate analyses of changes in microbial taxa in microbiome studies.
在微生物组研究中,一个基本目标是确定哪些微生物会影响宿主的生理机能。用于确定微生物分类群变化的标准方法衡量的是相对丰度,而不是绝对丰度。此外,尽管胃肠道 (GI) 不同部位的微生物多样性存在很大差异,但研究通常仅分析粪便样本。在这里,我们通过将数字 PCR 的精确性与 16S rRNA 基因扩增子测序的高通量特性相结合,开发了一种用于测量个体细菌分类群绝对丰度的定量框架。在一项关于鼠类生酮饮食的研究中,我们比较了 GI 道中腔室和黏膜样本中的微生物负荷。绝对(而非相对)丰度的定量测量显示生酮饮食会降低总微生物负荷,并使我们能够确定饮食对粪便和小肠黏膜样本中每个分类群的差异影响。这种严格的定量微生物分析框架适用于不同的 GI 部位,能够绘制哺乳动物 GI 道中微生物的生物地理学图谱,并更准确地分析微生物组研究中微生物分类群的变化。