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利用零模型比较环境条件变化下细菌和微型真核后生动物元群落的组装。

Using null models to compare bacterial and microeukaryotic metacommunity assembly under shifting environmental conditions.

机构信息

Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden.

出版信息

Sci Rep. 2020 Feb 12;10(1):2455. doi: 10.1038/s41598-020-59182-1.

Abstract

Temporal variations in microbial metacommunity structure and assembly processes in response to shifts in environmental conditions are poorly understood. Hence, we conducted a temporal field study by sampling rock pools in four-day intervals during a 5-week period that included strong changes in environmental conditions due to intensive rain. We characterized bacterial and microeukaryote communities by 16S and 18S rRNA gene sequencing, respectively. Using a suite of null model approaches (elements of metacommunity structure, Raup-Crick beta-diversity and quantitative process estimates) to assess dynamics in community assembly, we found that strong changes in environmental conditions induced small but significant temporal changes in assembly processes and triggered different responses in bacterial and microeukaryotic metacommunities, promoting distinct selection processes. Incidence-based approaches showed that the assemblies of both communities were mainly governed by stochastic processes. In contrast, abundance-based methods indicated the dominance of historical contingency and unmeasured factors in the case of bacteria and microeukaryotes, respectively. We distinguished these processes from dispersal-related processes using additional tests. Regardless of the applied null model, our study highlights that community assembly processes are not static, and the relative importance of different assembly processes can vary under different conditions and between different microbial groups.

摘要

微生物宏群落结构和组装过程随环境条件变化而发生的时间变化尚不清楚。因此,我们进行了一项时间野外研究,在 5 周的时间内,每隔 4 天采样一次岩石池,这包括由于强降雨导致的环境条件的剧烈变化。我们分别通过 16S 和 18S rRNA 基因测序来描述细菌和微真核生物群落。通过一系列零模型方法(宏群落结构要素、Raup-Crick 多样性和定量过程估计)来评估群落组装的动态,我们发现,环境条件的剧烈变化导致了组装过程的微小但显著的时间变化,并引发了细菌和微真核生物宏群落的不同反应,促进了不同的选择过程。基于发生率的方法表明,两个群落的组装主要受随机过程的控制。相比之下,基于丰度的方法分别表明,在细菌和微真核生物的情况下,历史偶然性和未测量因素占主导地位。我们使用额外的测试将这些过程与扩散相关的过程区分开来。无论应用哪种零模型,我们的研究都强调了群落组装过程不是静态的,不同的组装过程的相对重要性可以在不同的条件下和不同的微生物群体之间发生变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34fe/7016149/565b6cea12d1/41598_2020_59182_Fig1_HTML.jpg

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