Institute of Biogeochemistry and Pollutant Dynamics, Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland.
Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, Switzerland.
Philos Trans R Soc Lond B Biol Sci. 2020 May 11;375(1798):20190256. doi: 10.1098/rstb.2019.0256. Epub 2020 Mar 23.
Microbial communities are complex multi-species assemblages that are characterized by a multitude of interspecies interactions, which can range from mutualism to competition. The overall sign and strength of interspecies interactions have important consequences for emergent community-level properties such as productivity and stability. It is not well understood how interspecies interactions change over evolutionary timescales. Here, we review the empirical evidence that evolution is an important driver of microbial community properties and dynamics on timescales that have traditionally been regarded as purely ecological. Next, we briefly discuss different modelling approaches to study evolution of communities, emphasizing the similarities and differences between evolutionary and ecological perspectives. We then propose a simple conceptual model for the evolution of interspecies interactions in communities. Specifically, we propose that to understand the evolution of interspecies interactions, it is important to distinguish between direct and indirect fitness effects of a mutation. We predict that in well-mixed environments, traits will be selected exclusively for their direct fitness effects, while in spatially structured environments, traits may also be selected for their indirect fitness effects. Selection of indirectly beneficial traits should result in an increase in interaction strength over time, while selection of directly beneficial traits should not have such a systematic effect. We tested our intuitions using a simple quantitative model and found support for our hypotheses. The next step will be to test these hypotheses experimentally and provide input for a more refined version of the model in turn, thus closing the scientific cycle of models and experiments. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.
微生物群落是复杂的多物种集合体,其特征是存在多种种间相互作用,这些相互作用的范围可以从互利共生到竞争。种间相互作用的总体特征和强度对出现的群落水平特性(如生产力和稳定性)有重要影响。目前还不清楚种间相互作用在进化时间尺度上是如何变化的。在这里,我们回顾了一些经验证据,证明进化是微生物群落性质和动态的重要驱动因素,这些性质和动态在传统上被认为是纯粹的生态过程。接下来,我们简要讨论了不同的建模方法来研究社区的进化,强调了进化和生态观点之间的相似性和差异。然后,我们提出了一个简单的概念模型,用于研究群落中种间相互作用的进化。具体来说,我们提出,为了理解种间相互作用的进化,区分突变的直接和间接适应度效应很重要。我们预测,在充分混合的环境中,特征将仅因其直接适应度效应而被选择,而在空间结构环境中,特征也可能因其间接适应度效应而被选择。选择间接有益的特征应该会随着时间的推移导致相互作用强度的增加,而选择直接有益的特征则不会产生这种系统的影响。我们使用一个简单的定量模型来检验我们的直觉,并发现我们的假设得到了支持。下一步将是通过实验来检验这些假设,并为模型的更精细版本提供反馈,从而形成模型和实验的科学循环。本文是主题为“微生物群落生态学的概念挑战”的特刊的一部分。