Biotic Interactions in Microbial Communities as Modulators of Biogeochemical Processes: Methanotrophy as a Model System.
Biotic Interactions in Microbial Communities as Modulators of Biogeochemical Processes: Methanotrophy as a Model System.
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DOI：
10.3389/fmicb.2016.01285
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发表时间：
2016
影响因子：
5.2
通讯作者：
Bodelier PL
中科院分区：
文献类型：
--
作者：
Ho A;Angel R;Veraart AJ;Daebeler A;Jia Z;Kim SY;Kerckhof FM;Boon N;Bodelier PL
微生物相互作用是微生物生态学研究的一个组成部分，但微生物相互作用在群落功能中的作用、程度和相关性仍不清楚，特别是在全球生物地球化学循环的背景下。虽然许多研究揭示了影响特定过程的物理化学线索，但（微）生物控制和相互作用可能会引导微生物群落，导致功能改变，但人们对这些因素知之甚少。然而，最近越来越多的证据表明，一个社区的协同行动可以显着不同的单个微生物的综合影响，从而产生新兴的属性。在这里，我们通过分析一个合理理解的微生物团，即好氧甲烷氧化细菌（MOB），来阐明微生物相互作用对生态系统过程的重要性。我们回顾了文献，提供了令人信服的证据，微生物的相互作用在调节甲烷氧化的相关性。支持甲烷喂养的社区内的微生物协会寻求来自稳定同位素探测研究的各种复杂的环境设置的文献数据的重新分析。活性MOB和其他微生物之间的假定的积极相互作用进行了评估，通过相关网络为基础的分析与数据集覆盖不同的环境中，密切相互作用的成员的财团可以潜在地改变甲烷氧化活性。虽然，甲烷氧化是作为一个模型系统，我们的假设的基本原理可能适用于其他微生物公会介导其他生物地球化学过程。
Microbial interaction is an integral component of microbial ecology studies, yet the role, extent, and relevance of microbial interaction in community functioning remains unclear, particularly in the context of global biogeochemical cycles. While many studies have shed light on the physico-chemical cues affecting specific processes, (micro)biotic controls and interactions potentially steering microbial communities leading to altered functioning are less known. Yet, recent accumulating evidence suggests that the concerted actions of a community can be significantly different from the combined effects of individual microorganisms, giving rise to emergent properties. Here, we exemplify the importance of microbial interaction for ecosystem processes by analysis of a reasonably well-understood microbial guild, namely, aerobic methane-oxidizing bacteria (MOB). We reviewed the literature which provided compelling evidence for the relevance of microbial interaction in modulating methane oxidation. Support for microbial associations within methane-fed communities is sought by a re-analysis of literature data derived from stable isotope probing studies of various complex environmental settings. Putative positive interactions between active MOB and other microbes were assessed by a correlation network-based analysis with datasets covering diverse environments where closely interacting members of a consortium can potentially alter the methane oxidation activity. Although, methanotrophy is used as a model system, the fundamentals of our postulations may be applicable to other microbial guilds mediating other biogeochemical processes.