Department of Microbial Population Biology, Max Planck Institute for Evolutionary Biology, 24306 Plön, Germany.
Laboratoire de Génétique de l'Evolution, Chemistry, Biology and Innovation (CBI) UMR8231, ESPCI Paris, CNRS, PSL Research University, 75231 Paris, France.
Philos Trans R Soc Lond B Biol Sci. 2020 May 11;375(1798):20190248. doi: 10.1098/rstb.2019.0248. Epub 2020 Mar 23.
The challenge of moving beyond descriptions of microbial community composition to the point where understanding underlying eco-evolutionary dynamics emerges is daunting. While it is tempting to simplify through use of model communities composed of a small number of types, there is a risk that such strategies fail to capture processes that might be specific and intrinsic to complexity of the community itself. Here, we describe approaches that embrace this complexity and show that, in combination with metagenomic strategies, dynamical insight is increasingly possible. Arising from these studies is mounting evidence of rapid eco-evolutionary change among lineages and a sense that processes, particularly those mediated by horizontal gene transfer, not only are integral to system function, but are central to long-term persistence. That such dynamic, systems-level insight is now possible, means that the study and manipulation of microbial communities can move to new levels of inquiry. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.
超越微生物群落组成的描述,深入理解潜在的生态进化动态,这是一个艰巨的挑战。虽然通过使用由少数几种类型组成的模型群落来简化问题很诱人,但这样的策略可能无法捕捉到可能是群落本身复杂性所特有的和内在的过程。在这里,我们描述了一些方法,这些方法接受了这种复杂性,并表明,与宏基因组策略相结合,动态洞察力越来越有可能。从这些研究中出现的是关于谱系之间快速生态进化变化的越来越多的证据,并且认为这些过程,特别是由水平基因转移介导的过程,不仅是系统功能的组成部分,而且是长期持续的核心。这种动态的、系统水平的洞察力现在已经成为可能,这意味着对微生物群落的研究和操纵可以提升到新的研究层次。本文是主题为“微生物群落生态学的概念挑战”的一部分。