Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact

Author:

Kocurek Brandon,Behling Shawn,Martin Gordon,Ramachandran Padmini,Reed Elizabeth,Grim Christopher,Mammel Mark,Zheng Jie,Franklin Alison,Garland Jay,Tadesse Daniel A.,Sharma Manan,Tyson Gregory H.,Kabera Claudine,Tate Heather,McDermott Patrick F.,Strain Errol,Ottesen AndreaORCID

Abstract

AbstractIn alignment with the One Health paradigm, surface waters are being evaluated as a modality to better understand baseline antimicrobial resistance (AMR) across the environment to supplement existing AMR monitoring in pathogens associated with humans, foods, and animals. Here, we use metagenomic and quasimetagenomic sequence data to describe AMR in Maryland surface waters from developed (high human impact) and natural (low human impact) classifications by the National Land Cover Database (NLCD). Critically important β-lactamase genes were observed in twice as many high human impact zones. All data are available under BioProject PRJNA79347.https://www.ncbi.nlm.nih.gov/bioproject/794347

Publisher

Cold Spring Harbor Laboratory

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