A quantitative framework reveals ecological drivers of grassland microbial community assembly in response to warming

Daliang Ning, Mengting Yuan, Linwei Wu, Ya Zhang, Xue Guo, Xishu Zhou, Yunfeng Yang, Adam P. Arkin, Mary K. Firestone and Jizhong Zhou ()
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Daliang Ning: University of Oklahoma
Mengting Yuan: University of Oklahoma
Linwei Wu: University of Oklahoma
Ya Zhang: University of Oklahoma
Xue Guo: University of Oklahoma
Xishu Zhou: University of Oklahoma
Yunfeng Yang: Tsinghua University
Adam P. Arkin: Lawrence Berkeley National Laboratory
Mary K. Firestone: University of California
Jizhong Zhou: University of Oklahoma

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: Abstract Unraveling the drivers controlling community assembly is a central issue in ecology. Although it is generally accepted that selection, dispersal, diversification and drift are major community assembly processes, defining their relative importance is very challenging. Here, we present a framework to quantitatively infer community assembly mechanisms by phylogenetic bin-based null model analysis (iCAMP). iCAMP shows high accuracy (0.93–0.99), precision (0.80–0.94), sensitivity (0.82–0.94), and specificity (0.95–0.98) on simulated communities, which are 10–160% higher than those from the entire community-based approach. Application of iCAMP to grassland microbial communities in response to experimental warming reveals dominant roles of homogeneous selection (38%) and ‘drift’ (59%). Interestingly, warming decreases ‘drift’ over time, and enhances homogeneous selection which is primarily imposed on Bacillales. In addition, homogeneous selection has higher correlations with drought and plant productivity under warming than control. iCAMP provides an effective and robust tool to quantify microbial assembly processes, and should also be useful for plant and animal ecology.

Date: 2020
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DOI: 10.1038/s41467-020-18560-z

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