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Assessment of global health risk of antibiotic resistance genes

Author

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  • Zhenyan Zhang

    (Zhejiang University of Technology)

  • Qi Zhang

    (Zhejiang University of Technology)

  • Tingzhang Wang

    (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)

  • Nuohan Xu

    (Zhejiang University of Technology)

  • Tao Lu

    (Zhejiang University of Technology)

  • Wenjie Hong

    (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)

  • Josep Penuelas

    (Global Ecology Unit CREAF-CSIC-UAB, Bellaterra
    Cerdanyola del Vallès)

  • Michael Gillings

    (Macquarie University)

  • Meixia Wang

    (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)

  • Wenwen Gao

    (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)

  • Haifeng Qian

    (Zhejiang University of Technology)

Abstract

Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health.

Suggested Citation

  • Zhenyan Zhang & Qi Zhang & Tingzhang Wang & Nuohan Xu & Tao Lu & Wenjie Hong & Josep Penuelas & Michael Gillings & Meixia Wang & Wenwen Gao & Haifeng Qian, 2022. "Assessment of global health risk of antibiotic resistance genes," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29283-8
    DOI: 10.1038/s41467-022-29283-8
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    2. Yu-Rong Liu & Marcel G. A. Heijden & Judith Riedo & Carlos Sanz-Lazaro & David J. Eldridge & Felipe Bastida & Eduardo Moreno-Jiménez & Xin-Quan Zhou & Hang-Wei Hu & Ji-Zheng He & José L. Moreno & Seba, 2023. "Soil contamination in nearby natural areas mirrors that in urban greenspaces worldwide," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Yunyan Zhou & Jingquan Li & Fei Huang & Huashui Ai & Jun Gao & Congying Chen & Lusheng Huang, 2023. "Characterization of the pig lower respiratory tract antibiotic resistome," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    4. Peter J. Diebold & Matthew W. Rhee & Qiaojuan Shi & Nguyen Vinh Trung & Fayaz Umrani & Sheraz Ahmed & Vandana Kulkarni & Prasad Deshpande & Mallika Alexander & Ngo Hoa & Nicholas A. Christakis & Najee, 2023. "Clinically relevant antibiotic resistance genes are linked to a limited set of taxa within gut microbiome worldwide," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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