Evidence map›Paper›PMID 42791967›Full record

ArticleAntibiotics (Basel, Switzerland)2026

Source-Resolved Wastewater Metagenomics Reveals Distinct Resistome and Virulome Landscapes Across an Urban Wastewater Continuum.

Douha Shouqair, Subham Verma, Rashed Alghafri, Rania Nassar, Lobna Mohamed, Fatima Al Dhaheri, Dean Everett, Ahmed A Shibl, Jorge Rodríguez, Danesh Moradigaravand and 3 more

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Douha ShouqairCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Subham VermaCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Rashed AlghafriGeneral Department of Forensic Science and Criminology, Dubai Police, Dubai P.O. Box 1493, United Arab Emirates.
Rania NassarCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Lobna MohamedCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.
Fatima Al DhaheriDepartment of Pediatrics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-5412-6157
Dean EverettDepartment of Public Health and Epidemiology, College of Medicine and Health Sciences, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.ORCID 0000-0002-8458-6779
Ahmed A ShiblPublic Health Research Center, New York University Abu Dhabi, Abu Dhabi P.O. Box 129188, United Arab Emirates.ORCID 0000-0002-8147-8406
Jorge RodríguezDepartment of Chemical and P. Engineering, Khalifa University, Abu Dhabi P.O. Box 127788, United Arab Emirates.ORCID 0000-0002-5936-9676
Danesh MoradigaravandLaboratory of Infectious Disease Epidemiology, Biomedical Sciences (BioMed) Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Mushtaq KhanDepartment of Medical Microbiology and Immunology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-2434-1411
Richard GoeringDepartment of Medical Microbiology and Immunology, Creighton University School of Medicine, Omaha, NE 68178, USA.
Abiola SenokCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.

Funding

This work was funded by Grant# AJF-NIH-1-MBRU as part of the UAE-NIH Collaborative Re-search Initiative (UAE-NIH-CRI) which comprises four collaborating UAE institutes: Al Jalila Foundation, Mohammed Bin Rashid University of Medicine and Health Sciences, Grant# AJF-NIH-1-MBRU
6 · The paper itself

Abstract

BACKGROUND/

objectivesWastewater-based antimicrobial resistance (AMR) surveillance typically relies on treatment plant influent as a single integrated matrix, obscuring source-specific signals. In arid settings where treated effluent is reused, understanding how resistomes and virulomes are structured across wastewater compartments is essential for One Health monitoring.

methodsShotgun metagenomic sequencing was applied to 57 wastewater samples collected in Dubai, United Arab Emirates, between October 2024 and January 2025. Samples represented nine community sewer nodes, two tertiary-care hospital outflows, and influent and effluent from two wastewater treatment plants (WWTP). Datasets were used for taxonomic, resistome, and virulome profiling. Alpha diversity was compared using Wilcoxon rank-sum tests, beta-diversity differences were assessed using permutational multivariate analysis of variance, and source-associated AMR genes were identified using linear discriminant analysis effect size analysis.

resultsA total of 1470 bacterial species, 822 antimicrobial resistance genes (ARGs), and 1554 virulence factor genes were identified. Bacterial diversity was significantly lower in WWTP effluent than in other compartments. Hospital wastewater was enriched for class D β-lactamases, including multiple

conclusionsCommunity and influent wastewater capture population-level AMR carriage, hospital outflows concentrate clinically relevant resistance determinants, and WWTP effluent retains resistance markers despite microbial biomass reduction. Compartment-resolved metagenomic surveillance provides a practical One Health framework for identifying high-value monitoring points.

Indexed as

antimicrobial resistanceOne Healthresistomeshotgun metagenomicsvirulomewastewaterWWTP

Identifiers

PMID42791967
PMCPMC13604000

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.