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High-throughput analysis of the effects of different fish culture methods on antibiotic resistance gene abundances in a lake

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Abstract

Freshwater lakes are important reservoirs for antibiotic resistance genes (ARGs). In this study, we determined the ARG profiles in water samples from Ying Lake, China, using high-throughput quantitative PCR. The high prevalence of ARGs suggested significant pollution with ARGs in the study area, where the ARG diversity and abundance were greater in an area with box-type fish farming than an area with fenced fish farming. Network analysis indicated the widespread co-occurrence of ARGs and mobile genetic elements. cphA-01, blalMP02, and blaCMY202 were identified as adequate indicator genes for estimating the total ARG abundances. Redundancy analysis indicated that changes in the microbial communities caused by variations in the physicochemical parameters with different fish culture methods mainly determined the ARGs in the lake system. Thus, analyzing the factors that affect ARGs provided novel insights into the mechanisms responsible for the maintenance and propagation of ARGs in a lake.

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Acknowledgements

This study was funded by the National Natural Science Foundation of China (41601531 and 41671474), and the Science and Technology Plan Key Project of Shaanxi (2017ZDCXL-SF-03-03). We thank Dr. Duncan E. Jackson for editing and improving the manuscript.

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Authors and Affiliations

  1. College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100, Shaanxi, China

    Jie Gu, Li Zhang, Xiaojuan Wang, Chunya Lu, Jiayao Liu, Yue Liu, Lichan Li, Jiayuan Peng & Mingming Xue

  2. Research Center of Recycle Agricultural Engineering and Technology of Shaanxi Province, Northwest A&F University, Yangling, 712100, Shaanxi, China

    Jie Gu

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  1. Jie Gu
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  2. Li Zhang
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  3. Xiaojuan Wang
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Correspondence to Xiaojuan Wang.

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Responsible editor: Diane Purchase

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Gu, J., Zhang, L., Wang, X. et al. High-throughput analysis of the effects of different fish culture methods on antibiotic resistance gene abundances in a lake. Environ Sci Pollut Res 26, 5445–5453 (2019). https://doi.org/10.1007/s11356-018-3972-0

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  • DOI: https://doi.org/10.1007/s11356-018-3972-0

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