SARS-CoV-2 detection is independent of microbiome composition on surfaces in a major Ontario hospital

dc.contributor.authorGeorge, Nikhil A.
dc.contributor.authorBradford, Lauren
dc.contributor.authorHinz, Aaron
dc.contributor.authorEl Kadi, Marita
dc.contributor.authorXing, Lydia
dc.contributor.authorDoukhanine, Evgueni
dc.contributor.authorMacFadden, Derek R.
dc.contributor.authorNott, Caroline
dc.contributor.authorFralick, Michael
dc.contributor.authorKassen, Rees
dc.contributor.authorWong, Alex
dc.contributor.authorHug, Laura A.
dc.date.accessioned2026-06-01T17:58:48Z
dc.date.available2026-06-01T17:58:48Z
dc.date.issued2025-12-04
dc.description© 2025 George et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.description.abstractThe SARS-CoV-2 pandemic has resulted in considerable mortality in hospital settings. Built environment surveillance can provide a non-invasive indicator of SARS-CoV-2 status in hospitals, but we have a limited understanding of SARS-CoV-2’s microbial co-associations in the built environment, including any potential co-occurrence dynamics with pathogenic and antimicrobial-resistant microorganisms. Here we examine the microbial communities on floors and elevator buttons across several locations in two major tertiary-care Ontario hospitals during a surge in SARS-CoV-2 cases in 2020. Total microbial community composition, prevalence and type of detected antimicrobial resistance genes, and virulence factor distributions were governed by sample source rather than SARS-CoV-2 detection status. Fifteen microorganisms were identified as indicator species associated with positive SARS-CoV-2 signal, including three opportunistic pathogens (i.e., two Corynebacterium sp. and a Sutterella sp). Key clinically relevant antimicrobial resistance genes showed varying prevalence across sites within the hospital, suggesting that our workflow could inform resistance burden in hospitals. Overall, these results indicate limited or only weak interactions between microbiome composition and SARS-CoV-2 detection status in the hospital built environment.
dc.description.sponsorshipThe Ottawa Hospital Academic Medical Organization (TOHAMO) || Natural Sciences and Engineering Research Council (NSERC), Alliance Grant #554478-20 || University of Ottawa, COVID-19 Reintegration Taskforce || Carleton University, Rapid Response Research Grant || Canada Research Chair, Tier II.
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0326403
dc.identifier.urihttps://hdl.handle.net/10012/23486
dc.language.isoen
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE; 20(12); e0326403
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSARS CoV 2
dc.subjectantibiotic resistance
dc.subjectbuilt environment
dc.subjectmicrobiome
dc.subjectantimicrobial resistance
dc.subjectvirulence factors
dc.subjectopportunistic pathogens
dc.subjectvirus testing
dc.titleSARS-CoV-2 detection is independent of microbiome composition on surfaces in a major Ontario hospital
dc.typeArticle
dcterms.bibliographicCitationGeorge NA, Bradford L, Hinz A, El Kadi M, Xing L, Doukhanine E, et al. (2025) SARS-CoV-2 detection is independent of microbiome composition on surfaces in a major Ontario hospital. PLoS One 20(12): e0326403. https://doi.org/10.1371/journal.pone.0326403
uws.contributor.affiliation1Faculty of Science
uws.contributor.affiliation2Biology
uws.peerReviewStatusReviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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