生物
微生物群
基因
计算生物学
寄主(生物学)
水平基因转移
基因组
共生
遗传学
细菌
基因组
作者
Wen‐Bing Jin,Tingting Li,Da Huo,Sophia Qu,Xin Li,Mohammad Arifuzzaman,Svetlana Lima,Huiqing Shi,Aolin Wang,Gregory G. Putzel,Randy Longman,David Artis,Chun‐Jun Guo
出处
期刊:Cell
[Elsevier]
日期:2022-01-19
卷期号:185 (3): 547-562.e22
被引量:85
标识
DOI:10.1016/j.cell.2021.12.035
摘要
Hundreds of microbiota genes are associated with host biology/disease. Unraveling the causal contribution of a microbiota gene to host biology remains difficult because many are encoded by nonmodel gut commensals and not genetically targetable. A general approach to identify their gene transfer methodology and build their gene manipulation tools would enable mechanistic dissections of their impact on host physiology. We developed a pipeline that identifies the gene transfer methods for multiple nonmodel microbes spanning five phyla, and we demonstrated the utility of their genetic tools by modulating microbiome-derived short-chain fatty acids and bile acids in vitro and in the host. In a proof-of-principle study, by deleting a commensal gene for bile acid synthesis in a complex microbiome, we discovered an intriguing role of this gene in regulating colon inflammation. This technology will enable genetically engineering the nonmodel gut microbiome and facilitate mechanistic dissection of microbiota-host interactions.
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