ArticleFrontiers in microbiology2025
Metagenomic insights into the urban-rural variation of antimicrobial resistance and pathogen reservoirs in untreated wastewater from central India.
Article in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Diversity of antibiotic resistance genes increases in urbanized lakes: A multi-tool screening.iScience · 2026Article
- From surveillance to intelligence: a scoping review of machine learning for antimicrobial resistance surveillance intelligence across One Health.Frontiers in public health · 2026Article
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Authors and funding
16 authors.
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Abstract
Introduction: Rapid and scalable surveillance of antimicrobial resistance (AMR) is urgently needed in resource-constrained countries where routine monitoring is limited. Wastewater-based metagenomics offers a potential solution for early detection and geographic mapping of AMR. Methods: We conducted a retrospective DNA shotgun metagenomic analysis of untreated wastewater collected across Nagpur, India (February-April 2021). A total of 422 grab samples were pooled into 138 composite samples from 10 urban zones and rural catchments. The bacterial microbiota and resistome were profiled, and urban-rural patterns were compared using diversity metrics and correlation analyses. Results: Across all samples, 871 bacterial genera were detected, dominated by Proteobacteria, with frequent presence of Discussion: These findings show that wastewater metagenomics sensitively resolved clinically relevant pathogens and ARGs in an Indian urban-rural setting, capturing nuanced geographic structure. Integrating routine DNA metagenomics into One Health environmental surveillance could strengthen AMR early warning and guide interventions in resource-constrained contexts.
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