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Biogeographic patterns of microbial association networks in paddy soil within Eastern China
Wan, Xiaoling1,2,3,4; Gao, Qun1; Zhao, Jianshu1; Feng, Jiajie4; van Nostrand, Joy D.4; Yang, Yunfeng1; Zhou, Jizhong1,4,5
2020-03-01
Source PublicationSOIL BIOLOGY & BIOCHEMISTRY
ISSN0038-0717
Volume142Issue:1Pages:8
Abstract

Understanding microbial associations and their responses to environmental changes are important topics in microbial ecology. Using an association network framework, here we compare the potential microbial association patterns within bacteria, fungi or diazotrophs in 198 paddy soil samples within Eastern China. All of three networks were non-random and possessed topological features of complex systems such as scale-free, small-world (i.e., high connectivity) and modularity, which could enable system stability and resilience. However, those networks exhibited distinct topological features. The fungal network was the most complex (based on average degree), the closest (based on average geodesic distance), the least modular (based on modularity) and contained the fewest positive links compared to bacterial and diazotrophic networks. In the fungal and diazotrophic networks, we detected 8 super-generalist OTUs (network hubs), which were the most important nodes in maintaining network structure. Further analyses showed that the bacterial network was mainly shaped by soil temperature, but the fungal network was mainly shaped by ammonia and the diazotrophic network was mainly shaped by volumetric water content, ammonia and soil temperature, signifying the importance of different environmental variables for each community. This network analysis approach provided new insights into microbial community responses to environmental perturbations by inferring bacterial, fungal and diazotrophic associations across a large spatial scale in paddy soils.

KeywordMicrobial network Biogeographic pattern Diazotroph Random matrix theory
DOI10.1016/j.soilbio.2019.107696
Indexed BySCI
Language英语
WOS Research AreaAgriculture
WOS SubjectSoil Science
WOS IDWOS:000518706800004
WOS KeywordCOMMUNITY STRUCTURE ; COOCCURRENCE PATTERNS ; GLOBAL ANALYSIS ; NITROGEN ; DIVERSITY ; RHIZOSPHERE ; TEMPERATURE ; SENSITIVITY ; PLANTS ; ENVIRONMENT
PublisherPERGAMON-ELSEVIER SCIENCE LTD
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Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/35831
Collection其他_期刊论文
Corresponding AuthorYang, Yunfeng; Zhou, Jizhong
Affiliation1.Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China
2.Chinese Acad Sci, Key Lab Aquat Biodivers & Conservat, Inst Hydrobiol, Wuhan 430072, Hubei, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
4.Univ Oklahoma, Inst Environm Genom, Dept Microbiol & Plant Biol, Sch Civil Engn & Environm Sci, Norman, OK 73019 USA
5.Lawrence Berkeley Natl Lab, Earth Sci Div, Berkeley, CA USA
Recommended Citation
GB/T 7714
Wan, Xiaoling,Gao, Qun,Zhao, Jianshu,et al. Biogeographic patterns of microbial association networks in paddy soil within Eastern China[J]. SOIL BIOLOGY & BIOCHEMISTRY,2020,142(1):8.
APA Wan, Xiaoling.,Gao, Qun.,Zhao, Jianshu.,Feng, Jiajie.,van Nostrand, Joy D..,...&Zhou, Jizhong.(2020).Biogeographic patterns of microbial association networks in paddy soil within Eastern China.SOIL BIOLOGY & BIOCHEMISTRY,142(1),8.
MLA Wan, Xiaoling,et al."Biogeographic patterns of microbial association networks in paddy soil within Eastern China".SOIL BIOLOGY & BIOCHEMISTRY 142.1(2020):8.
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