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序列变异分析揭示了无菌转移后人类和小鼠之间微生物分类丰度的相关性较差。

Sequence variant analysis reveals poor correlations in microbial taxonomic abundance between humans and mice after gnotobiotic transfer.

机构信息

Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.

Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

出版信息

ISME J. 2020 Jul;14(7):1809-1820. doi: 10.1038/s41396-020-0645-z. Epub 2020 Apr 20.

Abstract

Transplanting human gut microbiotas into germ-free (GF) mice is a popular approach to disentangle cause-and-effect relationships between enteric microbes and disease. Algorithm development has enabled sequence variant (SV) identification from 16S rRNA gene sequence data. SV analyses can identify which donor taxa colonize recipient GF mice, and how SV abundance in humans is replicated in these mice. Fecal microbiotas from 8 human subjects were used to generate 77 slurries, which were transplanted into 153 GF mice. Strong correlations between fecal and slurry microbial communities were observed; however, only 42.15 ± 9.95% of SVs successfully transferred from the donor to the corresponding recipient mouse. Firmicutes had a particularly low transfer rate and SV abundance was poorly correlated between donor and recipient pairs. Our study confirms human fecal microbiotas colonize formerly GF mice, but the engrafted community only partially resembles the input human communities. Our findings emphasize the importance of reporting a standardized transfer rate and merit the exploration of other animal models or in silico tools to understand the relationships between human gut microbiotas and disease.

摘要

将人类肠道微生物群移植到无菌(GF)小鼠中是一种分离肠道微生物与疾病之间因果关系的常用方法。算法的发展使人们能够从 16S rRNA 基因序列数据中识别序列变异(SV)。SV 分析可以确定哪些供体分类群定植于受体 GF 小鼠,以及人类 SV 丰度在这些小鼠中如何复制。从 8 个人类受试者的粪便微生物群中生成了 77 个混悬液,将这些混悬液移植到 153 只 GF 小鼠中。观察到粪便和混悬液微生物群落之间存在很强的相关性;然而,只有 42.15±9.95%的 SV 从供体成功转移到相应的受体小鼠中。厚壁菌门的转移率特别低,供体和受体对之间的 SV 丰度相关性较差。我们的研究证实人类粪便微生物群定植于先前的 GF 小鼠,但定植群落仅部分类似于输入的人类群落。我们的研究结果强调了报告标准化转移率的重要性,并值得探索其他动物模型或计算工具来理解人类肠道微生物群与疾病之间的关系。

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