Evidence map›Paper›PMID 41315190›Full record

ArticleNature communications2025

Unveiling the global urban virome through wastewater metagenomics.

Nathalie Worp, David F Nieuwenhuijse, Ray W Izquierdo-Lara, Claudia M E Schapendonk, Christian Brinch, Emilie Egholm Bruun Jensen, Patrick Munk, Rene S Hendriksen, Global Sewage Surveillance Consortium, Frank Aarestrup and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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.

Nathalie WorpDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0001-8547-5192
David F NieuwenhuijseDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1310-5031
Ray W Izquierdo-LaraDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0001-9912-6970
Claudia M E SchapendonkDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.
Christian BrinchResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-5074-7183
Emilie Egholm Bruun JensenResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-3214-7918
Patrick MunkResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0001-8813-4019
Rene S HendriksenResearch Group for Global Capacity Building, National Food Institute, Technical University of Denmark, Kgs, Lyngby, Denmark.
Global Sewage Surveillance Consortium
Frank AarestrupResearch Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.ORCID http://orcid.org/0000-0002-7116-2723
Bas B Oude MunninkDepartment of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0002-9394-1189
Marion P G Koopmans *Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands.ORCID http://orcid.org/0000-0002-5204-2312
Miranda de Graaf *Department of Viroscience, Erasmus University Medical Center, Rotterdam, the Netherlands. m.degraaf@erasmusmc.nl.ORCID http://orcid.org/0000-0002-7831-0098

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Health (H2020 Societal Challenges - Health, Demographic Change and Well-being) 874735
6 · The paper itself

Abstract

Understanding global viral dynamics is critical for public health. Traditional surveillance focuses on individual pathogens and symptomatic cases, which may miss asymptomatic infections or newly emerging viruses, delaying detection and response. Wastewater-based epidemiology has been used to track pathogens through targeted molecular assays, but its reliance on predefined targets limits detection of the full viral spectrum. Here, we analyse longitudinal wastewater samples from 62 cities across six continents (2017-2019) using metagenomics and capture-based sequencing with probes targeting viruses associated with gastrointestinal disease. We detect over 2500 viral species spanning 122 families, many with human, animal, or plant health relevance. The bacteriophage family Microviridae and plant virus family Virgaviridae dominate the metagenomic dataset, while Astroviridae and Picornaviridae prevail in the capture-based sequence dataset. Virus distributions are broadly similar across continents at the family and genus levels, yet distinct city-level fingerprints reveal geographical and temporal variation, enabling spatiotemporal surveillance of viruses such as astroviruses and enteroviruses. Global wastewater-based epidemiology enables early detection of emerging viruses, including Echovirus 30 in Europe and Tomato brown rugose fruit virus. These findings highlight the potential of wastewater sequencing for the early detection of emerging viruses and population-wide virome monitoring across diverse hosts.

Indexed as

MetagenomicsViromeVirusesWastewaterAnimalsCitiesHumansMetagenomeWastewater

Identifiers

PMID41315190
PMCPMC12663323

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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 OpenQuestion graph.