Jin Wen-Bing, Guo Chun-Jun
Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine Cornell University New York New York USA.
Friedman Center for Nutrition and Inflammation, Weill Cornell Medicine Cornell University New York New York USA.
Imeta. 2024 Jun 23;3(4):e216. doi: 10.1002/imt2.216. eCollection 2024 Aug.
Hundreds of microbiota gene expressions are significantly different between healthy and diseased humans. The "bottleneck" preventing a mechanistic dissection of how they affect host biology/disease is that many genes are encoded by nonmodel gut commensals and not genetically manipulatable. Approaches to efficiently identify their gene transfer methodologies and build their gene manipulation tools would enable mechanistic dissections of their impact on host physiology. This paper will introduce a step-by-step protocol to identify gene transfer conditions and build the gene manipulation tools for nonmodel gut microbes, focusing on Gram-negative and Gram-positive organisms. This protocol enables us to identify gene transfer methods and develop gene manipulation tools without prior knowledge of their genome sequences, by targeting bacterial 16s ribosomal RNAs or expanding their compatible replication origins combined with clustered regularly interspaced short palindromic repeats machinery. Such an efficient and generalizable approach will facilitate functional studies that causally connect gut microbiota genes to host diseases.
健康人和患病者之间,数百种微生物群基因表达存在显著差异。阻碍对它们如何影响宿主生物学/疾病进行机制剖析的“瓶颈”在于,许多基因由非模式肠道共生菌编码,且无法进行基因操作。高效识别其基因转移方法并构建其基因操作工具的途径,将有助于对它们对宿主生理学的影响进行机制剖析。本文将介绍一个逐步方案,用于识别基因转移条件并构建非模式肠道微生物的基因操作工具,重点关注革兰氏阴性菌和革兰氏阳性菌。该方案使我们能够在不了解其基因组序列的情况下,通过靶向细菌16S核糖体RNA或扩展其兼容复制起点并结合成簇规律间隔短回文重复序列机制,来识别基因转移方法并开发基因操作工具。这种高效且可推广的方法将促进将肠道微生物群基因与宿主疾病因果联系起来的功能研究。