Since the COVID-19 pandemic started, there has been much speculation about how COVID-19
and antimicrobial resistance may be interconnected. In this study, untreated wastewater
was sampled from Hospital A designated to treat COVID-19 patients during the first wave
of the COVID-19 pandemic alongside Hospital B that did not receive any COVID-19
patients. Metagenomics was used to determine the relative abundance and mobile potential
of antibiotic resistant genes (ARGs), prior to determining the correlation of ARGs with
time/incidence of COVID-19. Our findings showed that ARGs resistant to macrolides,
sulfonamides, and tetracyclines were positively correlated with time in Hospital A but
not in Hospital B. Likewise, minor extended spectrum beta-lactamases (ESBLs) and
carbapenemases of classes B and D were positively correlated with time, suggesting the
selection of rare and/or carbapenem-resistant genes in Hospital A. Non-carbapenemase
bla
VEB
also positively correlated with both time and
intI1
and was copresent with other ARGs including
carbapenem-resistant genes in 6 metagenome-assembled genomes (MAGs). This study
highlighted concerns related to the dissemination of antimicrobial resistance (AMR)
during the COVID-19 pandemic that may arise from antibiotic use and untreated hospital
wastewater.