Conurbation size drives antibiotic resistance along the river

被引:12
|
作者
Zhou, Shu-Yi-Dan [1 ,2 ]
Huang, Fu-Yi [2 ,3 ]
Zhou, Xin-Yuan [2 ,3 ]
Lin, Chenshuo [2 ,3 ]
Jin, Ming-Kang [2 ,3 ]
Neilson, Roy [4 ]
Li, Hu [2 ,3 ]
Su, Jian-Qiang [2 ,3 ]
机构
[1] Chinese Acad Sci, Key Lab Vegetat Restorat & Management Degraded Ec, South China Bot Garden, 723Xingke Rd, Guangzhou 510650, Peoples R China
[2] Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Environm & Hlth, 1799 Jimei Rd, Xiamen 361021, Peoples R China
[3] Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
[4] James Hutton Inst, Ecol Sci, Dundee DD2 5DA, Scotland
基金
中国国家自然科学基金;
关键词
ARGs; Urbanization; Source tracking; Machine learning; Microbiome; WATER TREATMENT PLANTS; GENES; COMMUNITY; IMPACTS; FERTILIZATION; RESISTOME; BACTERIA;
D O I
10.1016/j.scitotenv.2022.153822
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With growing concerns about antibiotic resistance, the tracking of antibiotic resistance genes (ARGs) in urban waterways will facilitate our increased understanding of the impact of urbanization on ARGs dissemination. In the current study, we assessed the ARGs profiles and antibiotic resistome in water samples along the Jiulong River basin, a distance of 250 km, to better understand the impact of anthropogenic activities. A total of 244 ARGs and 12 MGEs were detected from 21 sampling sites. Both relative and absolute abundance of the observed resistome decreased with increasing distance from urban areas. Ordinary least-squares (OLS) regression revealed that both the relative and absolute resistome abundance were positively correlated with city size. The resistome had several inputs and outputs and Fast Expectation Maximization Microbial Source Tracking (FEAST), suggested that the majority of the antibiotic resistome originated from anthropogenic activities. A total of 8 ARGs and 20 microbial OTUs were considered as biomarkers that differentiated the location of sampling sites. Bacterial communities were significantly correlated with ARGs according to Procrustes analysis and Mantel test, which was also supported by a co-occurrence network. Variation partitioning analysis revealed that ARG profiles were driven by multiple factors. Although antibiotic resistome abundance significantly increased near urban conurbations, overall resistome abundance decreased as the river flowed downstream. Our study highlights the effect of conurbation size on antibiotic resistance profiles within the river basin and the potential resilience of rivers to recover from ARGs contamination.
引用
收藏
页数:7
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