4.7 Article

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

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 655, Issue -, Pages 337-346

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2018.11.211

Keywords

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

Funding

  1. BMBF (German Federal Ministry of Education and Research) [01DR17014]
  2. International Science and Technology Cooperation Program of China [2016YFE0123700]

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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, bla(TEM), bla(NDM-1), bla(CTX-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 beta-lactamase genes bla(TEM) and bla(NDM-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 beta-lactamase gene, bla(CTX-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. (C) 2018 Published by Elsevier B.V.

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