Nature Communications (Sep 2020)
Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
- Xue Guo,
- Qun Gao,
- Mengting Yuan,
- Gangsheng Wang,
- Xishu Zhou,
- Jiajie Feng,
- Zhou Shi,
- Lauren Hale,
- Linwei Wu,
- Aifen Zhou,
- Renmao Tian,
- Feifei Liu,
- Bo Wu,
- Lijun Chen,
- Chang Gyo Jung,
- Shuli Niu,
- Dejun Li,
- Xia Xu,
- Lifen Jiang,
- Arthur Escalas,
- Liyou Wu,
- Zhili He,
- Joy D. Van Nostrand,
- Daliang Ning,
- Xueduan Liu,
- Yunfeng Yang,
- Edward. A. G. Schuur,
- Konstantinos T. Konstantinidis,
- James R. Cole,
- C. Ryan Penton,
- Yiqi Luo,
- James M. Tiedje,
- Jizhong Zhou
Affiliations
- Xue Guo
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Qun Gao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Mengting Yuan
- Department of Environmental Science, Policy, and Management, University of California
- Gangsheng Wang
- Institute for Environmental Genomics, University of Oklahoma
- Xishu Zhou
- Institute for Environmental Genomics, University of Oklahoma
- Jiajie Feng
- Institute for Environmental Genomics, University of Oklahoma
- Zhou Shi
- Institute for Environmental Genomics, University of Oklahoma
- Lauren Hale
- Institute for Environmental Genomics, University of Oklahoma
- Linwei Wu
- Institute for Environmental Genomics, University of Oklahoma
- Aifen Zhou
- Institute for Environmental Genomics, University of Oklahoma
- Renmao Tian
- Institute for Environmental Genomics, University of Oklahoma
- Feifei Liu
- Institute for Environmental Genomics, University of Oklahoma
- Bo Wu
- Institute for Environmental Genomics, University of Oklahoma
- Lijun Chen
- Institute for Environmental Genomics, University of Oklahoma
- Chang Gyo Jung
- Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University
- Shuli Niu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
- Dejun Li
- Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences
- Xia Xu
- College of Biology and the Environment, Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University
- Lifen Jiang
- Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University
- Arthur Escalas
- Institute for Environmental Genomics, University of Oklahoma
- Liyou Wu
- Institute for Environmental Genomics, University of Oklahoma
- Zhili He
- Institute for Environmental Genomics, University of Oklahoma
- Joy D. Van Nostrand
- Institute for Environmental Genomics, University of Oklahoma
- Daliang Ning
- Institute for Environmental Genomics, University of Oklahoma
- Xueduan Liu
- School of Minerals Processing and Bioengineering, Central South University
- Yunfeng Yang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- Edward. A. G. Schuur
- Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University
- Konstantinos T. Konstantinidis
- School of Civil and Environmental Engineering and School of Biological Science, Georgia Institute of Technology
- James R. Cole
- Center for Microbial Ecology, Michigan State University
- C. Ryan Penton
- College of Letters and Sciences, Faculty of Science and Mathematics, Arizona State University
- Yiqi Luo
- Center for Ecosystem Science and Society, Department of Biological Sciences, Northern Arizona University
- James M. Tiedje
- Center for Microbial Ecology, Michigan State University
- Jizhong Zhou
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University
- DOI
- https://doi.org/10.1038/s41467-020-18706-z
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 12
Abstract
Mechanisms and consequences of the acclimation of soil respiration to warming are unclear. Here, the authors combine soil respiration, metagenomics, and functional gene results from a 7-year grassland warming experiment to a microbial-enzyme decomposition model, showing functional gene information to lower uncertainty and improve fit.
