| Literature DB >> 32948774 |
Daliang Ning1,2, Mengting Yuan1,3, Linwei Wu1, Ya Zhang1, Xue Guo1,2, Xishu Zhou1,4, Yunfeng Yang2, Adam P Arkin5,6, Mary K Firestone3,7, Jizhong Zhou8,9,10,11.
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.Entities:
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Year: 2020 PMID： 32948774 PMCID： PMC7501310 DOI： 10.1038/s41467-020-18560-z
Source DB: PubMed Journal: Nat Commun ISSN： 2041-1723 Impact factor: 14.919