Temporal dynamics of soil bacterial network regulate soil resistomes

Soil bacteria are diverse and form complicated ecological networks through various microbial interactions, which play important roles in soil multi‐functionality. However, the seasonal effects on the bacterial network, especially the relationship between bacterial network topological features and so...

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Bibliographic Details
Published inEnvironmental microbiology Vol. 25; no. 2; pp. 505 - 514
Main Authors Xiang, Qian, Zhu, Dong, Qiao, Min, Yang, Xiao‐Ru, Li, Gang, Chen, Qing‐Lin, Zhu, Yong‐Guan
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.02.2023
Wiley Subscription Services, Inc
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Summary:Soil bacteria are diverse and form complicated ecological networks through various microbial interactions, which play important roles in soil multi‐functionality. However, the seasonal effects on the bacterial network, especially the relationship between bacterial network topological features and soil resistomes remains underexplored, which impedes our ability to unveil the mechanisms of the temporal‐dynamics of antibiotic resistance genes (ARGs). Here, a field investigation was conducted across four seasons at the watershed scale. We observed significant seasonal variation in bacterial networks, with lower complexity and stability in autumn, and a wider bacterial community niche in summer. Similar to bacterial communities, the co‐occurrence networks among ARGs also shift with seasonal change, particularly with respect to the topological features of the node degree, which on average was higher in summer than in the other seasons. Furthermore, the nodes with higher betweenness, stress, degree, and closeness centrality in the bacterial network showed strong relationships with the 10 major classes of ARGs. These findings highlighted the changes in the topological properties of bacterial networks that could further alter antibiotic resistance in soil. Together, our results reveal the temporal dynamics of bacterial ecological networks at the watershed scale, and provide new insights into antibiotic resistance management under environmental changes.
Bibliography:Funding information
National Natural Science Foundation of China, Grant/Award Numbers: 22193061, 42090063; Ningbo Public Welfare project, Grant/Award Number: 2022S117; Strategic Priority Research Program of the Chinese Academy of Sciences, Grant/Award Number: XDA28020102; Water Science and Technology Fund of Jiangxi Province in China, Grant/Award Number: 202124ZDKT10
ISSN:1462-2912
1462-2920
DOI:10.1111/1462-2920.16298