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淡水原核生物与原生生物之间同步的多方面特征。

Multifaceted aspects of synchrony between freshwater prokaryotes and protists.

机构信息

Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, Italy.

出版信息

Mol Ecol. 2019 Oct;28(19):4500-4512. doi: 10.1111/mec.15228. Epub 2019 Sep 17.

DOI:10.1111/mec.15228
PMID:31482599
Abstract

Community composition of freshwater prokaryotes and protists varies through time. Few studies contemporarily investigate temporal variation of these freshwater communities for more than 1 year. We compared the temporal patterns of prokaryotes and protists in three distinct habitats for 4 years (2014-2017) in Lake Tovel, a cold-water lake. This lake showed a marked temperature increase in 2017 linked to altered precipitation patterns. We investigated whether microbial communities reflected this change across habitats and whether changes occurred at the same time and to the same extent. Furthermore, we tested the concept of hydrological year emphasizing the ecological effect of water renewal on communities for its explanatory power of community changes. Microbe diversity was assessed by Illumina sequencing of the V3-V4 hypervariable region of the 16S rRNA gene and 18S rRNA gene, and we applied co-inertia analysis and asymmetric eigenvector maps modelling to infer synchrony and temporal patterns of prokaryotes and protists. When considering community composition, microbes were invariable in synchrony across habitats and indicated a temporal gradient linked to decreasing precipitation; however, when looking at temporal patterns, the extent of synchrony was reduced. Small-scale patterns were similar across habitats and microbes and linked to seasonally varying environmental variables, while large-scale patterns were different and partially linked to an ecosystem change as indicated by increasing water transparency and temperature and decreasing dissolved oxygen. Our advanced statistical approach outlined the multifaceted aspect of synchrony when linked to community composition and temporal patterns.

摘要

淡水原核生物和原生生物的群落组成随时间而变化。目前很少有研究对这些淡水群落进行超过 1 年的时间变化进行调查。我们在特韦尔湖(一个冷水湖)中,比较了 3 个不同生境中原核生物和原生生物在 4 年内(2014-2017 年)的时间变化模式。该湖在 2017 年出现了明显的升温现象,这与降水模式的改变有关。我们调查了微生物群落是否反映了这种生境变化,以及变化是否同时且在相同程度上发生。此外,我们还检验了水文学年的概念,强调了水更新对群落的生态效应,以评估其对群落变化的解释能力。通过对 16S rRNA 基因和 18S rRNA 基因的 V3-V4 高变区进行 Illumina 测序,评估了微生物多样性,并应用共惰性分析和非对称特征向量图模型来推断原核生物和原生生物的同步性和时间模式。在考虑群落组成时,微生物在生境之间的同步性是不变的,指示出与降水减少有关的时间梯度;然而,当观察时间模式时,同步性的程度降低了。小尺度模式在生境和微生物之间是相似的,与季节性变化的环境变量有关,而大尺度模式则不同,部分与生态系统变化有关,表现为透明度、温度增加和溶解氧减少。我们的高级统计方法概述了当与群落组成和时间模式相关联时,同步性的多方面特征。

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