Wastewater surveillance for antibiotics and resistance genes in a river catchment: Spatiotemporal variations and the main drivers
文献类型: 外文期刊
作者: Wang, Zhenglu 1 ; Cai, Min 3 ; Du, Peng 4 ; Li, Xiqing 5 ;
作者机构: 1.Sichuan Univ, West China Sch Publ Hlth, Chengdu 610041, Peoples R China
2.Sichuan Univ, West China Hosp 4, Chengdu 610041, Peoples R China
3.Shanghai Acad Agr Sci, Ecoenvironm Protect Inst, Shanghai 201403, Peoples R China
4.Beijing Normal Univ, Coll Water Sci, Beijing Key Lab Urban Hydrol Cycle & Sponge City T, Beijing, 100875, Peoples R China
5.Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China
关键词: Wastewater-based epidemiology (WBE); Antibiotic resistance genes (ARGs); Spatial-temporal patterns; Antibiotics; Drivers
期刊名称:WATER RESEARCH ( 影响因子:12.8; 五年影响因子:13.3 )
ISSN: 0043-1354
年卷期: 2024 年 251 卷
页码:
收录情况: SCI
摘要: Wastewater -based epidemiology (WBE) is used for mining information about public health such as antibiotics resistance. This study investigated the distribution profiles of six types of antibiotic resistance genes (ARGs) in wastewater and rivers in Wuhu City, China. The levels of ARGs found in the Qingyijiang River were significantly higher than other rivers, and were comparable to effluent levels. Among the ARGs, sulfonamides ARGs and intI1 were the predominant in both wastewaters and rivers. Additionally, the concentrations of ARGs were higher on weekends as opposed to weekdays. Their distribution patterns remained consistent inter -week and inter -season using linear regression analysis (p < 0.001). Interestingly, the occurrence levels of ARGs in wastewaters during spring were significantly higher than in autumn, although insignificant in rivers. The apparent removal rate of ARGs in domestic wastewater sources ranged from 61.52-99.29%, except for qepA (-1.91% to 81.09%), whereas the removal rates in mixed domestic and industrial wastewaters showed a marked decrease (-92.94% to 76.67%). A correlation network analysis revealed that azithromycin and erythromycin were key antibiotics, while blaNDM-1, tetM, tetB, and ermB were identified as key ARGs. Sulfonamide and fluoroquinolone antibiotics, and tetracycline and macrolide ARGs were the primary contributors. Linear mixed models demonstrated that socioeconomic variables positively impacted the occurrence levels of ARGs, whereas wastewater flow and river runoff were the negative drivers for their concentrations in wastewaters and surface waters, respectively. Overall, this WBE study contributes to the understanding of spatiotemporal profiles and main drivers of the occurrence of ARGs in wastewater and receiving water.
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