The microbial network property as a bio-indicator of antibiotic transmission in the environment - PubMed (original) (raw)
doi: 10.1016/j.scitotenv.2020.143712. Epub 2020 Nov 14.
Shuhong Gao 2, Colin Bates 3, Yufei Zeng 1, Jiesi Lei 1, Hang Su 1, Qiang Dong 4, Ziyan Qin 1, Jianshu Zhao 5, Qiuting Zhang 3, Daliang Ning 3, Yi Huang 6, Jizhong Zhou 7, Yunfeng Yang 8
Affiliations
- PMID: 33277004
- DOI: 10.1016/j.scitotenv.2020.143712
The microbial network property as a bio-indicator of antibiotic transmission in the environment
Qun Gao et al. Sci Total Environ. 2021.
Abstract
Interspecies interaction is an essential mechanism for bacterial communities to develop antibiotic resistance via horizontal gene transfer. Nonetheless, how bacterial interactions vary along the environmental transmission of antibiotics and the underpinnings remain unclear. To address it, we explore potential microbial associations by analyzing bacterial networks generated from 16S rRNA gene sequences and functional networks containing a large number of antibiotic-resistance genes (ARGs). Antibiotic concentration decreased by more than 4000-fold along the environmental transmission chain from manure samples of swine farms to aerobic compost, compost-amended agricultural soils, and neighboring agricultural soils. Both bacterial and functional networks became larger in nodes and links with decreasing antibiotic concentrations, likely resulting from lower antibiotics stress. Nonetheless, bacterial networks became less clustered with decreasing antibiotic concentrations, while functional networks became more clustered. Modularity, a key topological property that enhances system resilience to antibiotic stress, remained high for functional networks, but the modularity values of bacterial networks were the lowest when antibiotic concentrations were intermediate. To explain it, we identified a clear shift from deterministic processes, particularly variable selection, to stochastic processes at intermediate antibiotic concentrations as the dominant mechanism in shaping bacterial communities. Collectively, our results revealed microbial network dynamics and suggest that the modularity value of association networks could serve as an important indicator of antibiotic concentrations in the environment.
Keywords: Antibiotics; Bacterial networks; Community assembly; Functional networks; Modularity.
Copyright © 2020 Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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