Assessment of global health risk of antibiotic resistance genes
Zhang, Zhenyan (Zhejiang University of Technology. College of Environment)
Zhang, Qi (Zhejiang University of Technology. College of Environment)
Wang, Tingzhang (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)
Xu, Nuohan (Zhejiang University of Technology. College of Environment)
Lu, Tao (Zhejiang University of Technology. College of Environment)
Hong, Wenjie (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Gillings, Michael (Macquarie University. ARC Centre of Excellence in Synthetic Biology)
Wang, Meixia (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)
Gao, Wenwen (Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province)
Qian, Haifeng (Zhejiang University of Technology. College of Environment)

Date:	2022
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.
Grants:	Agencia Estatal de Investigación PID2019-110521GB-I00 Agència de Gestió d'Ajuts Universitaris i de Recerca 2020/PANDE00117 Agència de Gestió d'Ajuts Universitaris i de Recerca SGR/2017-1005
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Clinical microbiology ; Environmental microbiology ; Metagenomics ; Risk factors ; Ecology
Published in:	Nature communications, Vol. 13 (March 2022) , art. 1553, ISSN 2041-1723

DOI: 10.1038/s41467-022-29283-8
PMID: 35322038

11 p, 2.7 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Articles > Research articles
Articles > Published articles