微生物种群生物学
环境科学
抗生素
水质
生物
蛋白质细菌
地表水
微生物学
细菌
环境化学
生态学
环境工程
化学
16S核糖体RNA
遗传学
作者
Lili Zhang,Zhang Cheng,Keting Lian,Dongfang Ke,Ting Xie,Chongxuan Liu
标识
DOI:10.1016/j.scitotenv.2021.147873
摘要
Although river restoration has been increasingly implemented to restore water quality in ecosystems, its effect on the removal of emerging pollutant antibiotics, and their resultant influence on microbial community structure and functions in river water is still unclear. This study investigated the changes of antibiotics, antibiotic resistant genes (ARGs), microbial communities, and their spatial distributions in a megacity river before and after river restoration. Results indicated that although the restoration activities including riverbed dredging, riverbank hardening, sewage and storm water separation and re-pipelining improved water quality such as by decreasing total phosphorus (TP) content from 4.60 ± 6.38 mg/L in 2018 to 0.98 ± 0.44 mg/L in 2020, the antibiotic concentrations in river water increased. Total antibiotic concentrations in the water samples were higher in 2020 (506.89-6952.50 ng/L) than those in 2018 (137.93-1751.51 ng/L), likely caused by increased usage of antibiotics in 2020 for COVID-19 treatment. The spatial distributions of antibiotics were less varied likely as a result of less retardation and fast mixing during antibiotic transport. The result also found that the abundance of Actinobacteria and Proteobacteria, and their correlations with ARGs increased. The spatial distributions of ARGs and microbial communities became less varied in the river water, consistent with the antibiotic variations before and after river restoration. Physicochemical changes such as decreased TP and dissolved organic carbon content may also be a factor. The results indicated that the current river restoration efforts were not effective in removing antibiotics, and implied that further studies are needed to investigate their subsequent transformation and transport, and to assess their risks to the health of ecosystems.
科研通智能强力驱动
Strongly Powered by AbleSci AI