Department of Life Sciences. Silwood Park Campus, Imperial College London, Ascot, UK.
Institute of Integrative Biology, ETH-Zürich, Zürich, Switzerland.
Nat Commun. 2020 May 13;11(1):2386. doi: 10.1038/s41467-020-16011-3.
A central goal in microbial ecology is to simplify the extraordinary biodiversity that inhabits natural environments into ecologically coherent units. We profiled (16S rRNA sequencing) > 700 semi-aquatic bacterial communities while measuring their functional capacity when grown in laboratory conditions. This approach allowed us to investigate the relationship between composition and function excluding confounding environmental factors. Simulated data allowed us to reject the hypothesis that stochastic processes were responsible for community assembly, suggesting that niche effects prevailed. Consistent with this idea we identified six distinct community classes that contained samples collected from distant locations. Structural equation models showed there was a functional signature associated with each community class. We obtained a more mechanistic understanding of the classes using metagenomic predictions (PiCRUST). This approach allowed us to show that the classes contained distinct genetic repertoires reflecting community-level ecological strategies. The ecological strategies resemble the classical distinction between r- and K-strategists, suggesting that bacterial community assembly may be explained by simple ecological mechanisms.
微生物生态学的一个主要目标是将栖息在自然环境中的非凡生物多样性简化为具有生态一致性的单元。我们在实验室条件下对 >700 个半水生细菌群落进行了(16S rRNA 测序)功能特征分析,以测量它们的功能能力。这种方法使我们能够在排除混杂环境因素的情况下研究组成与功能之间的关系。模拟数据使我们能够拒绝随机过程负责群落组装的假设,表明生态位效应占主导地位。与这一观点一致,我们确定了六个不同的群落类群,其中包含了从遥远地点收集的样本。结构方程模型表明,每个群落类群都有一个与之相关的功能特征。我们使用宏基因组预测(PiCRUST)获得了对这些类群的更具机制性的理解。这种方法使我们能够表明这些类群包含反映群落水平生态策略的独特遗传库。这些生态策略类似于 r- 和 K-选择者的经典区别,这表明细菌群落组装可以用简单的生态机制来解释。