Institute for Environmental Genomics, Department of Microbiology and Plant Biology, and School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, Oklahoma, USA
Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Microbiol Mol Biol Rev. 2017 Oct 11;81(4). doi: 10.1128/MMBR.00002-17. Print 2017 Dec.
Understanding the mechanisms controlling community diversity, functions, succession, and biogeography is a central, but poorly understood, topic in ecology, particularly in microbial ecology. Although stochastic processes are believed to play nonnegligible roles in shaping community structure, their importance relative to deterministic processes is hotly debated. The importance of ecological stochasticity in shaping microbial community structure is far less appreciated. Some of the main reasons for such heavy debates are the difficulty in defining stochasticity and the diverse methods used for delineating stochasticity. Here, we provide a critical review and synthesis of data from the most recent studies on stochastic community assembly in microbial ecology. We then describe both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift. We also describe different approaches for inferring stochasticity from observational diversity patterns and highlight experimental approaches for delineating ecological stochasticity in microbial communities. In addition, we highlight research challenges, gaps, and future directions for microbial community assembly research.
理解控制群落多样性、功能、演替和生物地理学的机制是生态学中的一个核心但尚未被充分理解的主题,尤其是在微生物生态学中。虽然随机过程被认为在塑造群落结构方面起着不可忽视的作用,但它们相对于确定性过程的重要性仍存在激烈的争论。随机过程对微生物群落结构的塑造作用还远未被充分认识。造成这种激烈争论的部分原因主要是难以定义随机性以及用于划分随机性的方法多种多样。在这里,我们对最近关于微生物生态学中随机群落组装的研究数据进行了批判性的回顾和综合。然后,我们描述了包括选择、扩散、多样化和漂移在内的各种生态过程中嵌入的随机和确定性成分。我们还描述了从观测多样性模式推断随机性的不同方法,并强调了微生物群落中划分生态随机性的实验方法。此外,我们还强调了微生物群落组装研究的研究挑战、差距和未来方向。