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Typical antibiotic resistance genes and their association with driving factors in the coastal areas of Yangtze River Estuary

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Abstract

The massive use of antibiotics has led to the escalation of microbial resistance in aquatic environment, resulting in an increasing concern regarding antibiotic resistance genes (ARGs), posing a serious threat to ecological safety and human health. In this study, surface water samples were collected at eight sampling sites along the Yangtze River Estuary. The seasonal and spatial distribution patterns of 10 antibiotics and target genes in two major classes (sulfonamides and tetracyclines) were analyzed. The findings indicated a high prevalence of sulfonamide and tetracycline resistance genes along the Yangtze River Estuary. Kruskal–Wallis analysis revealed significant seasonal variations in the abundance of all target genes. The accumulation of antibiotic resistance genes in the coastal area of the Yangtze River Estuary can be attributed to the influence of urban instream runoff and the discharge of effluents from wastewater treatment plants. ANISOM analysis indicated significant seasonal differences in the microbial community structure. VPA showed that environmental factors contribute the most to ARG variation. PLS-PM demonstrate that environmental factors and microbial communities pose direct effect to ARG variation. Analysis of driving factors influencing ARGs in this study may shed new insights into the mechanism of the maintenance and propagation of ARGs.

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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Funding

This study was funded by the National Natural Science Foundation of China (42072281, 41602244, 51961145106), Shanghai Science and Technology Innovation Projects (22230712900, 22ZR1464200, 20230742500), the Fundamental Research Funds for the Central Universities (22120210576), Top Discipline Plan of Shanghai Universities-Class I (2022–3-YB-03), and Interdisciplinary Project in Ocean Research of Tongji University (2022–2-YB-01).

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Authors and Affiliations

  1. Department of Hydraulic Engineering, College of Civil Engineering, Tongji University, Shanghai, China

    Qiuhong Xu, Shuguang Liu, Sha Lou, **n Li & Yuchen **

  2. Key Laboratory of Yangtze River Water Environment, Ministry of Education, Tongji University, Shanghai, China

    Shuguang Liu & Sha Lou

  3. State Key Laboratory of Marine Geology, Tongji University, Shanghai, China

    Junbiao Tu

  4. State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, China

    Wenjun Yin

  5. Laboratory of Chemistry of Natural Systems, Baikal Institute of Nature Management of Siberian Branch of the Russian Academy of Sciences, Republic of Buryatia, Russia

    Larisa Dorzhievna Radnaeva & Elena Nikitina

  6. Institute of Water and Ecology Problems, Far East Branch, Russian Academy of Sciences, Khabarovsk, Russia

    Aleksei Nikolavich Makhinov

  7. Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil

    José Tavares Araruna

  8. Institute of Earth Sciences, Saint Petersburg State University, St Petersburg, Russia

    Irina Viktorovna Fedorova

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  1. Qiuhong Xu
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  2. Shuguang Liu
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Contributions

Qiuhong Xu: data curation, methodology, writing—original draft. Shuguang Liu: conceptualization, software. Sha Lou: methodology, writing—review and editing. Junbiao Tu: investigation. **n Li: investigation. Yuchen **: investigation. Wenjun Yin: investigation. Larisa Dorzhievna Radnaeva: investigation. Elena Nikitina: investigation. Aleksei Nikolavich Makhinov: methodology, writing—reviewing and editing. José Tavares Araruna: writing—reviewing and editing. Irina Viktorovna Fedorova: writing—reviewing and editing. All authors have read and approved this version of the article, and due care has been taken to ensure the integrity of the work.

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Correspondence to Sha Lou.

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Xu, Q., Liu, S., Lou, S. et al. Typical antibiotic resistance genes and their association with driving factors in the coastal areas of Yangtze River Estuary. Environ Sci Pollut Res 31, 30440–30453 (2024). https://doi.org/10.1007/s11356-024-33198-w

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