Статья

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

Daliang NingInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USAMengting YuanDepartment of Environmental Science Policy and Management, University of California, Berkeley, CA, 94720, USALinwei WuInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USAYa ZhangInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USAXue GuoInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USAXishu ZhouInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USAYunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, 100084, Beijing, ChinaAdam P. ArkinDepartment of Bioengineering, University of California, Berkeley, CA, 94720, USAMary K. FirestoneDepartment of Environmental Science Policy and Management, University of California, Berkeley, CA, 94720, USAJizhong ZhouEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, CA, 94704, USA. [email protected]

2020en

ABI

Аннотация

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.

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Идентификаторы

DOI: 10.1038/s41467-020-18560-z

Цитирования и источники

Цитирований: 3Использованных источников: 0

Показатели — AkademScholar