Suppr超能文献

将微生物相互作用放回群落背景中。

Putting microbial interactions back into community contexts.

作者信息

Pierce Emily C, Dutton Rachel J

机构信息

Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA.

Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, USA.

出版信息

Curr Opin Microbiol. 2022 Feb;65:56-63. doi: 10.1016/j.mib.2021.10.008. Epub 2021 Nov 2.

Abstract

Microbial interactions are key aspects of the biology of microbiomes. Recently, there has been a shift in the field towards studying interactions in more representative contexts, whether using multispecies model microbial communities or by looking at interactions in situ. Across diverse microbial systems, these studies have begun to identify common interaction mechanisms. These mechanisms include interactions related to toxic molecules, nutrient competition and cross-feeding, access to metals, signaling pathways, pH changes, and interactions within biofilms. Leveraging technological innovations, many of these studies have used an interdisciplinary approach combining genetic, metabolomic, imaging, and/or microfluidic techniques to gain insight into mechanisms of microbial interactions and into the impact of these interactions on microbiomes.

摘要

微生物相互作用是微生物群落生物学的关键方面。最近,该领域已转向在更具代表性的环境中研究相互作用,无论是使用多物种模型微生物群落,还是通过观察原位相互作用。在各种微生物系统中,这些研究已开始识别常见的相互作用机制。这些机制包括与有毒分子、营养竞争和交叉喂养、获取金属、信号通路、pH变化以及生物膜内相互作用相关的相互作用。利用技术创新,许多此类研究采用了跨学科方法,将遗传、代谢组学、成像和/或微流体技术结合起来,以深入了解微生物相互作用机制以及这些相互作用对微生物群落的影响。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验