Distinct Biogeographic Patterns for Archaea, Bacteria, and Fungi along the Vegetation Gradient at the Continental Scale in Eastern China

Author:

Ma Bin12,Dai Zhongmin12,Wang Haizhen12,Dsouza Melissa34,Liu Xingmei12,He Yan12,Wu Jianjun12,Rodrigues Jorge L. M.5ORCID,Gilbert Jack A.364,Brookes Philip C.12,Xu Jianming12

Affiliation:

1. Institute of Soil and Water Resources and Environmental Science, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China

2. Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Hangzhou, China

3. Department of Ecology and Evolution and Department of Surgery, University of Chicago, Chicago, Illinois, USA

4. The Marine Biological Laboratory, Woods Hole, Massachusetts, USA

5. Department of Land, Air and Water Resources, University of California, Davis, Davis, California, USA

6. Bioscience Division, Argonne National Laboratory, Lemont, Illinois, USA

Abstract

Understanding biogeographic patterns is a precursor to improving our knowledge of the function of microbiomes and to predicting ecosystem responses to environmental change. Using natural forest soil samples from 110 locations, this study is one of the largest attempts to comprehensively understand the different patterns of soil archaeal, bacterial, and fungal biogeography at the continental scale in eastern China. These patterns in natural forest sites could ascertain reliable soil microbial biogeographic patterns by eliminating anthropogenic influences. This information provides guidelines for monitoring the belowground ecosystem’s decline and restoration. Meanwhile, the deviations in the soil microbial communities from corresponding natural forest states indicate the extent of degradation of the soil ecosystem. Moreover, given the association between vegetation type and the microbial community, this information could be used to predict the long-term response of the underground ecosystem to the vegetation distribution caused by global climate change.

Funder

Fundamental Research Funds for the Central Universities

The 111 Project

National Natural Science Foundation of China

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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