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

Kocurek, B.; Martin, G.; Behling, S.; Ramachandran, P.; Reed, E.; Grim, C. J.; Mammel, M.; Zheng, J.; Franklin, A.; Garland, J.; Tadesse, D.; Sharma, M.; Tyson, G.; Kabera, C.; Tate, H.; McDermott, P. F.; Strain, E. A.; Ottesen, A.

doi:10.1101/2023.06.20.545726

bioRxiv · 10.1101/2023.06.20.545726

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

Kocurek, B.·Martin, G.·Behling, S.·Ramachandran, P.·Reed, E.·Grim, C. J.·Mammel, M.·Zheng, J.·Franklin, A.·Garland, J.·Tadesse, D.·Sharma, M.·Tyson, G.·Kabera, C.·Tate, H.·McDermott, P. F.·Strain, E. A.·Ottesen, A.

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Abstract

In 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 {beta}-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

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Kocurek, B., Martin, G., Behling, S., Ramachandran, P., Reed, E., Grim, C. J., Mammel, M., Zheng, J., Franklin, A., Garland, J., Tadesse, D., Sharma, M., Tyson, G., Kabera, C., Tate, H., McDermott, P. F., Strain, E. A., Ottesen, A.. 2023-06-20. Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact. https://doi.org/10.1101/2023.06.20.545726

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