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

Author

Listed:
  • Daliang Ning

    (University of Oklahoma
    Tsinghua University)

  • Mengting Yuan

    (University of Oklahoma
    University of California)

  • Linwei Wu

    (University of Oklahoma)

  • Ya Zhang

    (University of Oklahoma)

  • Xue Guo

    (University of Oklahoma
    Tsinghua University)

  • Xishu Zhou

    (University of Oklahoma
    Central South University)

  • Yunfeng Yang

    (Tsinghua University)

  • Adam P. Arkin

    (Lawrence Berkeley National Laboratory
    University of California)

  • Mary K. Firestone

    (University of California
    Lawrence Berkeley National Laboratory)

  • Jizhong Zhou

    (University of Oklahoma
    Tsinghua University
    Lawrence Berkeley National Laboratory
    University of Oklahoma)

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.

Suggested Citation

  • Daliang Ning & Mengting Yuan & Linwei Wu & Ya Zhang & Xue Guo & Xishu Zhou & Yunfeng Yang & Adam P. Arkin & Mary K. Firestone & Jizhong Zhou, 2020. "A quantitative framework reveals ecological drivers of grassland microbial community assembly in response to warming," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18560-z
    DOI: 10.1038/s41467-020-18560-z
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    Cited by:

    1. Luyao Kang & Yutong Song & Rachel Mackelprang & Dianye Zhang & Shuqi Qin & Leiyi Chen & Linwei Wu & Yunfeng Peng & Yuanhe Yang, 2024. "Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Xuanyu Tao & Zhifeng Yang & Jiajie Feng & Siyang Jian & Yunfeng Yang & Colin T. Bates & Gangsheng Wang & Xue Guo & Daliang Ning & Megan L. Kempher & Xiao Jun A. Liu & Yang Ouyang & Shun Han & Linwei W, 2024. "Experimental warming accelerates positive soil priming in a temperate grassland ecosystem," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Yichao Wu & Chengxia Fu & Caroline L. Peacock & Søren J. Sørensen & Marc A. Redmile-Gordon & Ke-Qing Xiao & Chunhui Gao & Jun Liu & Qiaoyun Huang & Zixue Li & Peiyi Song & Yongguan Zhu & Jizhong Zhou , 2023. "Cooperative microbial interactions drive spatial segregation in porous environments," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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