ArticleEnvironmental microbiology reports2025
2024 Bangladesh Floodwaters Harbour Regional Hotspots of Pathogens and Antimicrobial Resistance.
Article in Environmental microbiology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- One Health Insights From Pteropus medius: Nipah Virus Spillover, Microbiota, and Antimicrobial Resistance.MicrobiologyOpen · 2026Review
- 2024 Bangladesh Floodwaters Harbour Regional Hotspots of Pathogens and Antimicrobial Resistance.Environmental microbiology reports · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
Seasonal flooding in Bangladesh poses severe public health risks through waterborne disease, yet a comprehensive, genomic-level understanding of the associated microbial hazards is lacking. This study presents a comprehensive shotgun metagenomic analysis of floodwaters from four districts of Bangladesh (Cumilla, Feni, Lakshmipur, and Noakhali) during the devastating 2024 floods, profiling the distribution of pathogenic bacteria, antimicrobial resistance genes, and virulence factors. A total of 12 samples were collected during peak flooding periods and processed using Illumina sequencing. Taxonomic profiling and resistome analysis were performed using MetaPhlAn4, ABRicate, and MEGAHIT, referencing the NCBI and CZ ID databases. Across all regions, 301 operational taxonomic units were identified. Feni exhibited the highest diversity of pathogenic species, including multidrug-resistant Klebsiella pneumoniae, toxigenic Pseudomonas aeruginosa, and mobilizable resistance plasmids (e.g., IncP1, Col440I). Noakhali samples revealed co-detection of zoonotic and emerging pathogens such as Aliarcobacter spp. and Streptococcus suis, along with key resistance genes like blaOXA and ermB. Microbial community clustering revealed strong spatial heterogeneity. This study provides genomic evidence that floodwaters harbour emerging pathogens and AMR. It strongly advocates for incorporating metagenomic tools into Bangladesh's national flood response and AMR monitoring frameworks.
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