tetano
Editor, Senior Moderator
PLoS One
. 2025 Dec 4;20(12):e0326403.
doi: 10.1371/journal.pone.0326403. eCollection 2025. SARS-CoV-2 detection is independent of microbiome composition on surfaces in a major Ontario hospital
Nikhil A George[SUP] 1 [/SUP], Lauren Bradford[SUP] 2 [/SUP], Aaron Hinz[SUP] 2 3 [/SUP], Marita El Kadi[SUP] 4 [/SUP], Lydia Xing[SUP] 5 6 [/SUP], Evgueni Doukhanine[SUP] 7 [/SUP], Derek R MacFadden[SUP] 5 6 [/SUP], Caroline Nott[SUP] 5 6 [/SUP], Michael Fralick[SUP] 8 [/SUP], Rees Kassen[SUP] 4 3 [/SUP], Alex Wong[SUP] 2 [/SUP], Laura A Hug[SUP] 1 [/SUP]
Affiliations
The 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.
. 2025 Dec 4;20(12):e0326403.
doi: 10.1371/journal.pone.0326403. eCollection 2025. SARS-CoV-2 detection is independent of microbiome composition on surfaces in a major Ontario hospital
Nikhil A George[SUP] 1 [/SUP], Lauren Bradford[SUP] 2 [/SUP], Aaron Hinz[SUP] 2 3 [/SUP], Marita El Kadi[SUP] 4 [/SUP], Lydia Xing[SUP] 5 6 [/SUP], Evgueni Doukhanine[SUP] 7 [/SUP], Derek R MacFadden[SUP] 5 6 [/SUP], Caroline Nott[SUP] 5 6 [/SUP], Michael Fralick[SUP] 8 [/SUP], Rees Kassen[SUP] 4 3 [/SUP], Alex Wong[SUP] 2 [/SUP], Laura A Hug[SUP] 1 [/SUP]
Affiliations
- PMID: 41343559
- DOI: 10.1371/journal.pone.0326403
The 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.