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自然细菌群落中的定殖-持续权衡。

Colonization-persistence trade-offs in natural bacterial communities.

机构信息

Theoretical and Computational Ecology, Center for Advanced Studies of Blanes (CEAB-CSIC), Spanish Council for Scientific Research, Accés Cala St. Francesc 14, E-17300 Blanes, Spain.

Complex Systems Group. Department of Applied Mathematics, Universidad Politécnica de Madrid. Av. Juan de Herrera, 6. E-28040 Madrid, Spain.

出版信息

Proc Biol Sci. 2023 Jul 12;290(2002):20230709. doi: 10.1098/rspb.2023.0709. Epub 2023 Jul 5.

Abstract

Fitness equalizing mechanisms, such as trade-offs, are recognized as one of the main factors promoting species coexistence in community ecology. However, they have rarely been explored in microbial communities. Although microbial communities are highly diverse, the coexistence of their multiple taxa is largely attributed to niche differences and high dispersal rates, following the principle 'everything is everywhere, but the environment selects'. We use a dynamical stochastic model based on the theory of island biogeography to study highly diverse bacterial communities over time across three different systems (soils, alpine lakes and shallow saline lakes). Assuming fitness equalization mechanisms, here we newly analytically derive colonization-persistence trade-offs, and report a signal of such trade-offs in natural bacterial communities. Moreover, we show that different subsets of species in the community drive this trade-off. Rare taxa, which are occasional and more likely to follow independent colonization/extinction dynamics, drive this trade-off in the aquatic communities, while the core sub-community did it in the soils. We conclude that equalizing mechanisms may be more important than previously recognized in bacterial communities. Our work also emphasizes the fundamental value of dynamical models for understanding temporal patterns and processes in highly diverse communities.

摘要

适应化平衡机制(如权衡)被认为是促进群落生态学中物种共存的主要因素之一。然而,它们在微生物群落中很少被探索。尽管微生物群落具有高度多样性,但它们的多种分类群的共存主要归因于生态位差异和高扩散率,遵循“万物皆有,环境选择”的原则。我们使用基于岛屿生物地理学理论的动态随机模型,研究了三个不同系统(土壤、高山湖泊和浅层咸水湖泊)中随时间变化的高度多样化的细菌群落。假设适应化平衡机制,我们在这里新分析了定殖-持久性权衡,并在自然细菌群落中报告了这种权衡的信号。此外,我们表明,群落中的不同物种子集驱动了这种权衡。偶尔出现、更可能遵循独立的定殖/灭绝动态的稀有分类群在水生群落中驱动了这种权衡,而核心亚群落则在土壤中驱动了这种权衡。我们的结论是,适应化机制在细菌群落中可能比以前认为的更为重要。我们的工作还强调了动态模型在理解高度多样化群落中的时间模式和过程方面的基本价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ad8/10320335/6570965073f3/rspb20230709f01.jpg

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