Here, we examine surface waters 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. Data from metagenomic and quasimetagenomic (shotgun sequenced enrichments) are used to describe AMR in Maryland surface waters from high and low human impact classifications.
Keywords: AMR; Maryland; NARMS; National Antimicrobial Resistance Monitoring System; antimicrobial resistance; high human impact; low human impact; metagenomic; quasimetagenomic; surface water.