基因组
微生物群
可比性
DNA提取
生物
人体微生物群
粪便
计算生物学
可转让性
计算机科学
生物信息学
微生物学
遗传学
聚合酶链反应
数学
基因
机器学习
组合数学
罗伊特
作者
Paul Igor Costea,Georg Zeller,Shinichi Sunagawa,Éric Pelletier,Adriana Alberti,Florence Levenez,Melanie Tramontano,Marja Driessen,Rajna Hercog,Ferris Jung,Jens Roat Kultima,Matthew R. Hayward,Luís Pedro Coelho,Emma Allen‐Vercoe,Laurie Bertrand,Michaël Blaut,Jillian R. Brown,Thomas Carton,Stéphanie Cools-Portier,Michelle C. Daigneault
摘要
Testing 21 different fecal DNA extraction protocols in multiple laboratories results in a standardized protocol with the potential to improve comparability across human gut microbiome studies. Technical variation in metagenomic analysis must be minimized to confidently assess the contributions of microbiota to human health. Here we tested 21 representative DNA extraction protocols on the same fecal samples and quantified differences in observed microbial community composition. We compared them with differences due to library preparation and sample storage, which we contrasted with observed biological variation within the same specimen or within an individual over time. We found that DNA extraction had the largest effect on the outcome of metagenomic analysis. To rank DNA extraction protocols, we considered resulting DNA quantity and quality, and we ascertained biases in estimates of community diversity and the ratio between Gram-positive and Gram-negative bacteria. We recommend a standardized DNA extraction method for human fecal samples, for which transferability across labs was established and which was further benchmarked using a mock community of known composition. Its adoption will improve comparability of human gut microbiome studies and facilitate meta-analyses.
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