Occurrence of antibiotics in the main rivers of Shenzhen, China: Association with antibiotic resistance genes and microbial community

Qiu, W; Sun, J; Fang, M; Luo, S; Tian, Y; Dong, P; Xu, B; Zheng, C

Occurrence of antibiotics in the main rivers of Shenzhen, China: Association with antibiotic resistance genes and microbial community

Qiu, W Sun, J Fang, M Luo, S Tian, Y Dong, P Xu, B

Zheng, C

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Publication Type:: Journal Article
Citation:: Science of the Total Environment, 2019, 653 pp. 334 - 341
Issue Date:: 2019-02-25

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Field	Value	Language
dc.contributor.author	Qiu, W	en_US
dc.contributor.author	Sun, J	en_US
dc.contributor.author	Fang, M	en_US
dc.contributor.author	Luo, S	en_US
dc.contributor.author	Tian, Y	en_US
dc.contributor.author	Dong, P	en_US
dc.contributor.author	Xu, B https://orcid.org/0000-0003-2854-3392	en_US
dc.contributor.author	Zheng, C	en_US
dc.date.available	2018-10-28	en_US
dc.date.issued	2019-02-25	en_US
dc.identifier.citation	Science of the Total Environment, 2019, 653 pp. 334 - 341	en_US
dc.identifier.issn	0048-9697	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132346
dc.description.abstract	© 2018 Elsevier B.V. The occurrence and distribution of antibiotics were investigated in surface water and sediment collected from the main rivers of Shenzhen, China. Total concentrations of 20 selected antibiotics ranged from 36.510 to 1075.687 ng L −1 (mean 244.992 ng L −1 ) in 31 water samples and from 28.124 to 2728.810 ng g −1 (mean 680.169 ng g −1 ) in 31 sediment samples. Notably, STZ and SDZ were the dominant antibiotics in both water and sediment as their higher concentrations compared with the other compounds. Furthermore, comprehensive profiling of antibiotic resistance genes (ARGs) and microbial community was performed to gain an understanding of the evolution and dissemination of ARGs in microbial communities caused by the occurrence of antibiotics in sediment samples from Maozhou River. As a result, the sul1 gene was found to be the most abundant ARG and Proteobacteria was the most abundant microorganism in all the samples (37.4–51.7%), followed by Bacteroidetes (15.3–18.4%). Statistical analysis figured out the relations among antibiotics, ARGs and microbial community. A specific conclusion could be drawn from the positive correlations among the bla_d gene, Fusobacteria, and sulfamethoxazole. It suggests that antibiotics may be positively linked to the expression of ARGs in certain bacteria, and thus high reproduction would occur within the bacterial community. Overall, the widespread distribution of ARGs underscores the need for further research on the mechanism of antibiotics influence as emerging contaminants in the environment and the associated risks to microbial community.	en_US
dc.relation.ispartof	Science of the Total Environment	en_US
dc.relation.isbasedon	10.1016/j.scitotenv.2018.10.398	en_US
dc.subject.classification	Environmental Sciences	en_US
dc.subject.mesh	Bacteria	en_US
dc.subject.mesh	Anti-Bacterial Agents	en_US
dc.subject.mesh	Water Pollutants, Chemical	en_US
dc.subject.mesh	Rivers	en_US
dc.subject.mesh	Environmental Monitoring	en_US
dc.subject.mesh	Drug Resistance, Microbial	en_US
dc.subject.mesh	Genes, Bacterial	en_US
dc.subject.mesh	China	en_US
dc.subject.mesh	Microbiota	en_US
dc.title	Occurrence of antibiotics in the main rivers of Shenzhen, China: Association with antibiotic resistance genes and microbial community	en_US
dc.type	Journal Article
utslib.citation.volume	653	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	653	en_US

Abstract:

© 2018 Elsevier B.V. The occurrence and distribution of antibiotics were investigated in surface water and sediment collected from the main rivers of Shenzhen, China. Total concentrations of 20 selected antibiotics ranged from 36.510 to 1075.687 ng L −1 (mean 244.992 ng L −1 ) in 31 water samples and from 28.124 to 2728.810 ng g −1 (mean 680.169 ng g −1 ) in 31 sediment samples. Notably, STZ and SDZ were the dominant antibiotics in both water and sediment as their higher concentrations compared with the other compounds. Furthermore, comprehensive profiling of antibiotic resistance genes (ARGs) and microbial community was performed to gain an understanding of the evolution and dissemination of ARGs in microbial communities caused by the occurrence of antibiotics in sediment samples from Maozhou River. As a result, the sul1 gene was found to be the most abundant ARG and Proteobacteria was the most abundant microorganism in all the samples (37.4–51.7%), followed by Bacteroidetes (15.3–18.4%). Statistical analysis figured out the relations among antibiotics, ARGs and microbial community. A specific conclusion could be drawn from the positive correlations among the bla_d gene, Fusobacteria, and sulfamethoxazole. It suggests that antibiotics may be positively linked to the expression of ARGs in certain bacteria, and thus high reproduction would occur within the bacterial community. Overall, the widespread distribution of ARGs underscores the need for further research on the mechanism of antibiotics influence as emerging contaminants in the environment and the associated risks to microbial community.

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http://hdl.handle.net/10453/132346