Biofilm Contributions of Bacterial Pathogens and Antimicrobial Resistance Genes to Wastewater Surveillance Signal at the Hospital Scale

Abstract Wastewater surveillance (WS) has been widely adopted as a cost-effective and population-representative infectious disease monitoring tool and is increasingly being applied to bacterial and antimicrobial resistance gene (ARG) targets. However, there is potential for some targets to persist in pipe biofilms and detach into wastewater, complicating WS interpretation. To investigate shared pathogen and ARG signals, paired sink-drain biofilm, branch-drain (secondary horizontal pipes carrying wastewater from multiple fixtures) biofilm, and wastewater were collected from five hospital sites over four months and analyzed using 16S rRNA gene amplicon sequencing and probe-capture metagenomics. Branch-drain biofilm bacterial communities were as diverse as wastewater, and across sites, a median of 8.5% (0–24.4%) of wastewater bacterial communities were attributed to branch-drain biofilm. Many clinically relevant pathogens were consistently detected in both branch-drain biofilm and wastewater, including taxa previously reported as environmentally persistent and/or biofilm-associated(e.g., Pseudomonas aeruginosa, Klebsiella pneumoniae). While many ARGs overlapped between wastewater and biofilms (e.g., tetA, sul1, blaCTX-M), others were significantly enriched in branch-drain biofilms (e.g., qacL, van-operon and OXA genes). Together, these findings support that wastewater pathogen and resistome profiles may integrate inputs from both human shedding and pipe-resident communities, requiring further investigation and consideration when selecting WS targets and interpreting signal.

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Publication Details

Journal
ACS ES&T Water
Published
2026-10-27
DOI
https://doi.org/10.1021/acsestwater.6c00930
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Biofilm Contributions of Bacterial Pathogens and Antimicrobial Resistance Genes to Wastewater Surveillance Signal at the Hospital Scale

Amanda Darling, Dawn Gratalo, Paul E. Turner, Richard A. Martinello et al.
1 links
ACS ES&T Water
Pharmaceutical and Antibiotic Environmental Impacts
article

Biofilm Contributions of Bacterial Pathogens and Antimicrobial Resistance Genes to Wastewater Surveillance Signal at the Hospital Scale

Amanda Darling, Dawn Gratalo, Paul E. Turner, Richard A. Martinello, Alexandra M. Simas, Hannah Greenwald, Jordan Peccia, Irvan Luhung, Andrew Franklin, Scott C. Roberts, Kealyn Bowie, Valerie J. Morley, Madelena Ruedaflores, Daniel Katz, Nicole Stephenson, Taylor Burke, Sitara Sastry
article en

Abstract

Abstract Wastewater surveillance (WS) has been widely adopted as a cost-effective and population-representative infectious disease monitoring tool and is increasingly being applied to bacterial and antimicrobial resistance gene (ARG) targets. However, there is potential for some targets to persist in pipe biofilms and detach into wastewater, complicating WS interpretation. To investigate shared pathogen and ARG signals, paired sink-drain biofilm, branch-drain (secondary horizontal pipes carrying wastewater from multiple fixtures) biofilm, and wastewater were collected from five hospital sites over four months and analyzed using 16S rRNA gene amplicon sequencing and probe-capture metagenomics. Branch-drain biofilm bacterial communities were as diverse as wastewater, and across sites, a median of 8.5% (0–24.4%) of wastewater bacterial communities were attributed to branch-drain biofilm. Many clinically relevant pathogens were consistently detected in both branch-drain biofilm and wastewater, including taxa previously reported as environmentally persistent and/or biofilm-associated(e.g., Pseudomonas aeruginosa, Klebsiella pneumoniae). While many ARGs overlapped between wastewater and biofilms (e.g., tetA, sul1, blaCTX-M), others were significantly enriched in branch-drain biofilms (e.g., qacL, van-operon and OXA genes). Together, these findings support that wastewater pathogen and resistome profiles may integrate inputs from both human shedding and pipe-resident communities, requiring further investigation and consideration when selecting WS targets and interpreting signal.

ACS ES&T Water
Harvard University (US), Perimeter Institute (CA), Yale University (US), Yale New Haven Health System (US)
Gordon and Betty Moore Foundation
Clean water and sanitation, Good health and well-being
Openalex Percentile: Top 25%
Pharmaceutical and Antibiotic Environmental Impacts
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