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微生物组中的相互作用:生物群落和基因群落。

Interactions in the microbiome: communities of organisms and communities of genes.

机构信息

Department of Biology, Dalhousie University, Halifax, NS, Canada.

出版信息

FEMS Microbiol Rev. 2014 Jan;38(1):90-118. doi: 10.1111/1574-6976.12035. Epub 2013 Aug 28.

Abstract

A central challenge in microbial community ecology is the delineation of appropriate units of biodiversity, which can be taxonomic, phylogenetic, or functional in nature. The term 'community' is applied ambiguously; in some cases, the term refers simply to a set of observed entities, while in other cases, it requires that these entities interact with one another. Microorganisms can rapidly gain and lose genes, potentially decoupling community roles from taxonomic and phylogenetic groupings. Trait-based approaches offer a useful alternative, but many traits can be defined based on gene functions, metabolic modules, and genomic properties, and the optimal set of traits to choose is often not obvious. An analysis that considers taxon assignment and traits in concert may be ideal, with the strengths of each approach offsetting the weaknesses of the other. Individual genes also merit consideration as entities in an ecological analysis, with characteristics such as diversity, turnover, and interactions modeled using genes rather than organisms as entities. We identify some promising avenues of research that are likely to yield a deeper understanding of microbial communities that shift from observation-based questions of 'Who is there?' and 'What are they doing?' to the mechanistically driven question of 'How will they respond?'

摘要

微生物群落生态学的一个核心挑战是划定适当的生物多样性单位,这些单位在本质上可以是分类的、系统发育的或功能的。“群落”一词的应用是模糊的;在某些情况下,该术语仅指一组观察到的实体,而在其他情况下,它要求这些实体相互作用。微生物可以快速获得和失去基因,从而使群落的功能与其分类和系统发育分组分离。基于特征的方法提供了一种有用的替代方法,但许多特征可以基于基因功能、代谢模块和基因组特性来定义,而选择最佳特征集通常并不明显。同时考虑分类群分配和特征的分析可能是理想的,每种方法的优势可以抵消另一种方法的劣势。单个基因也值得作为生态分析中的实体来考虑,使用基因而不是生物体作为实体来模拟特征,如多样性、周转率和相互作用。我们确定了一些有前途的研究途径,这些途径可能会加深我们对微生物群落的理解,这些微生物群落从基于观察的问题“有谁在那里?”和“他们在做什么?”转变为基于机制的问题“他们将如何做出反应?”

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc0f/4298764/fe55fc6e55c1/fmr0038-0090-f1.jpg

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