Spread of antibiotic resistance genes in drinking water reservoirs: Insights from a deep metagenomic study using a curated database

• DOI: 10.1016/j.watres.2024.121572
• Publication Date: 2024-04-04T20:04:44Z
• Authors: Sai Wang; Wenhan Nie; Qing Gu; Xie Wang; Danping Yang; Hongyu Li; Peihong Wang; Weixue Liao; Jin Huang; Quan Yuan; Shengli Zhou; Iftikhar Ahmad; Kiga Kotaro; Gongyou Chen; Bo Zhu
• Keywords: Epidemiology; Antibiotic resistance; Environmental engineering; FOS: Basic medicine; Gene; Microbiology; Diagnosis, Treatment, and Epidemiology of Nontuberculous Mycobacterial Diseases; Resistome; Environmental science; Global Challenge of Antibiotic Resistance in Bacteria; Database; Antibiotics; Biochemistry, Genetics and Molecular Biology; Health Sciences; Genetics; Raw water; Biology; Genome; Acinetobacter; Ecology; Resistance Genes; FOS: Environmental engineering; Life Sciences; Resistance (ecology); Pollution; Computer science; Antimicrobial Resistance Genes; Mobile genetic elements; Antibiotic Resistance; FOS: Biological sciences; Environmental Science; Physical Sciences; Molecular Medicine; Medicine; Antibiotic Resistance in Aquatic Environments and Wastewater; Metagenomics

The exploration of antibiotic resistance genes (ARGs) in drinking water reservoirs is an emerging field. Using a curated database, we enhanced the ARG detection and conducted comprehensive analysis using 2.2 Tb deep metagenomic sequencing data to determine distribution ARGs across 16 associated environments. Our findings reveal greater diversity sediments than water, underscoring importance extensive background surveys. Crucial carriers—specifically Acinetobacter, Pseudomonas, Mycobacterium were identified reservoirs. Extensive uncovered considerable concern for safety, particularly regions reliant on river sources. Mobile genetic elements have been found contribute markedly propagation ARGs. results this research suggest that establishment supplying raw may be effective strategy alleviating spread water-mediated