Back

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

Darling, A.; Sastry, S.; Bowie, K.; Luhung, I.; Franklin, A.; Morley, V.; Stephenson, N.; Katz, D.; Gratalo, D.; Simas, A.; Burke, T.; Ruedaflores, M.; Roberts, S.; Turner, P.; Martinello, R.; Peccia, J.; Healy, H. G.

2026-06-29 epidemiology
10.64898/2026.06.24.26356348 medRxiv
Show 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, some of these targets may persist in pipe biofilms and detach into wastewater, complicating accurate WS interpretation. To investigate biofilm contributions to wastewater pathogen and ARG signals, paired sink-drain biofilm, branch-drain-plumbing biofilm (sewer biofilm), and wastewater were collected from five hospital sites over a four-month period and analyzed using 16S rRNA gene amplicon sequencing and probe-capture metagenomics. Overall, sewer biofilm bacterial communities were as diverse as wastewater. Across sites, a mean of 9% (0.9 to 23.3%) of wastewater bacterial communities could be attributed to sewer biofilm communities. Many clinically relevant pathogens were consistently detected both in sewer biofilm and wastewater, including environmentally persistent and/or biofilm-associated taxa (e.g., Pseudomonas aeruginosa, Klebsiella pneumoniae). While many ARGs overlapped between wastewater and biofilms (e.g., tetA, sul1, blaCTX-M, vanA), others were significantly enriched in sewer biofilms (e.g., qacL, van-operon and OXA genes). Together, these findings confirm that wastewater pathogen and resistome profiles integrate inputs from both human shedding and pipe-resident communities and therefore need to be considered when selecting WS targets and interpreting signal.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Water Research
79 papers in training set
Top 0.1%
26.2%
2
Science of The Total Environment
186 papers in training set
Top 0.4%
9.6%
3
mSystems
394 papers in training set
Top 2%
5.1%
4
Frontiers in Microbiology
427 papers in training set
Top 2%
4.8%
5
Environmental Research
49 papers in training set
Top 0.3%
4.3%
6
Environmental Science & Technology
64 papers in training set
Top 0.3%
4.3%
50% of probability mass above
7
ACS ES&T Water
20 papers in training set
Top 0.1%
4.0%
8
Microbiology Spectrum
469 papers in training set
Top 4%
3.2%
9
Environmental Science: Water Research & Technology
13 papers in training set
Top 0.1%
3.2%
10
Scientific Reports
3612 papers in training set
Top 35%
3.2%
11
PLOS ONE
5266 papers in training set
Top 41%
2.6%
12
Environmental Pollution
37 papers in training set
Top 0.4%
2.4%
13
Applied and Environmental Microbiology
339 papers in training set
Top 3%
2.1%
14
mSphere
302 papers in training set
Top 4%
1.5%
15
The Lancet Microbe
44 papers in training set
Top 0.5%
1.5%
16
The Journal of Infectious Diseases
202 papers in training set
Top 2%
1.5%
17
Nature Communications
5641 papers in training set
Top 49%
1.3%
18
Environment International
43 papers in training set
Top 0.5%
1.3%
19
GeoHealth
12 papers in training set
Top 0.2%
1.1%
20
International Journal of Hygiene and Environmental Health
11 papers in training set
Top 0.2%
1.1%
21
International Journal of Environmental Research and Public Health
128 papers in training set
Top 4%
1.1%
22
Environmental Science & Technology Letters
21 papers in training set
Top 0.2%
1.0%
23
Environmental Health Perspectives
17 papers in training set
Top 0.3%
1.0%
24
PLOS Water
13 papers in training set
Top 0.2%
0.8%
25
Infection Control & Hospital Epidemiology
17 papers in training set
Top 0.3%
0.8%
26
American Journal of Epidemiology
67 papers in training set
Top 1%
0.8%
27
FEMS Microbes
16 papers in training set
Top 0.3%
0.8%
28
Chemical Engineering Journal
11 papers in training set
Top 0.3%
0.8%
29
Cell Reports Medicine
153 papers in training set
Top 6%
0.6%
30
Frontiers in Virology
15 papers in training set
Top 0.3%
0.6%