Literature DB >> 30471602

Distribution of clinically relevant antibiotic resistance genes in Lake Tai, China.

C Stange1, D Yin2, T Xu2, X Guo2, C Schäfer1, A Tiehm3.   

Abstract

Lake Tai is China's third largest freshwater lake and an important water resource for agriculture, industrial sectors, and as drinking water for several large cities. In this study, the occurrence of five antibiotic resistance genes (sul1, blaTEM, blaNDM-1, blaCTX-M-32, mcr-1) was investigated in water and sediment samples collected from Lake Tai. Antibiotic resistances are currently increasing, posing a significant threat to public health. The sulfonamide resistance gene sul1 was highly abundant in all analyzed water and sediment samples. In addition, the two β-lactamase genes blaTEMand blaNDM-1 - encoding clinically relevant antibiotic resistances - were detected in 67.1 and 7.3% of the water samples and in 70.7 and 15.4% of the sediment samples. The third β-lactamase gene, blaCTX-M-32, was only detected in water samples (13.4%), while the colistin resistance gene mcr-1 was not detected in any of the samples. No significant variations between different sampling sites or time points could be observed. The investigation of drinking water treatment at Lake Tai, using lake water as influent, showed a significant reduction of the antibiotic resistance genes through the treatment process. Microbial source tracking showed only low fecal contamination by humans, ruminants, and pigs, indicating the relevance of other sources such as fish farms. Overall, our results provide important insights into the occurrence and abundance of antibiotic resistance genes in the Lake Tai water system and their elimination via drinking water treatment.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Antibiotic resistance genes; Lake Tai; Microbial source tracking; Sediments; Surface water

Mesh:

Substances:

Year:  2018        PMID: 30471602     DOI: 10.1016/j.scitotenv.2018.11.211

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


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