Evidence map›Paper›PMID 39215001›Full record

ArticleNature communications2024

Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance.

Ágnes Becsei, Alessandro Fuschi, Saria Otani, Ravi Kant, Ilja Weinstein, Patricia Alba, József Stéger, Dávid Visontai, Christian Brinch, Miranda de Graaf and 17 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A comprehensive database for biological data derived from sewage in five European cities.Database : the journal of biological databases and curation · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. ganon2: up-to-date and scalable metagenomics analysis.NAR genomics and bioinformatics · 2025
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Ágnes Becsei *Department of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Alessandro Fuschi *Department of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy.ORCID 0000-0002-9524-5785
Saria OtaniNational Food Institute, Technical University of Denmark, Lyngby, Denmark.
Ravi KantDepartment of Virology, Medicum, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3878-9775
Ilja WeinsteinDepartment of Virology, Medicum, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-5988-0901
Patricia AlbaDepartment of General Diagnostics, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana, Rome, Italy.ORCID 0000-0002-9621-0955
József StégerDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Dávid VisontaiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Christian BrinchNational Food Institute, Technical University of Denmark, Lyngby, Denmark.ORCID 0000-0002-5074-7183
Miranda de GraafViroscience Department and Pandemic and Disaster Preparedness Research Centre, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-7831-0098
Claudia M E SchapendonkViroscience Department and Pandemic and Disaster Preparedness Research Centre, Erasmus MC, Rotterdam, The Netherlands.
Antonio BattistiDepartment of General Diagnostics, Istituto Zooprofilattico Sperimentale del Lazio e della Toscana, Rome, Italy.ORCID 0000-0003-1308-199X
Alessandra De CesareDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Emilia (BO), Italy.
Chiara OliveriDepartment of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy.ORCID 0000-0002-9483-916X
Fulvia TrojaDepartment of Veterinary Medical Sciences, University of Bologna, Ozzano Emilia (BO), Italy.ORCID 0000-0003-3971-8450
Tarja SironenDepartment of Virology, Medicum, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2344-2755
Olli VapalahtiDepartment of Virology, Medicum, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2270-6824
Frédérique PasqualiDepartment of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.ORCID 0000-0003-0746-6367
Krisztián BányaiPathogen Discovery Group, HUN-REN Veterinary Medical Research Institute, Budapest, Hungary.
Magdolna MakóFővárosi Csatornázási Művek Zrt., Budapest, Hungary.
Péter PollnerData-Driven Health Division of National Laboratory for Health Security, Health Services Management Training Centre, Semmelweis University, Budapest, Hungary.ORCID 0000-0003-0464-4893
Alessandra MerlottiDepartment of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy.
Marion KoopmansViroscience Department and Pandemic and Disaster Preparedness Research Centre, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-5204-2312
Istvan CsabaiDepartment of Physics of Complex Systems, ELTE Eötvös Loránd University, Budapest, Hungary.
Daniel RemondiniDepartment of Physics and Astronomy (DIFA), University of Bologna, Bologna, Italy.ORCID 0000-0003-3185-7456
Frank M AarestrupNational Food Institute, Technical University of Denmark, Lyngby, Denmark.ORCID 0000-0002-7116-2723
Patrick MunkNational Food Institute, Technical University of Denmark, Lyngby, Denmark. pmun@food.dtu.dk.ORCID 0000-0001-8813-4019

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 874735Novo Nordisk Fonden (Novo Nordisk Foundation) NNF16OC0021856
6 · The paper itself

Abstract

Sewage metagenomics has risen to prominence in urban population surveillance of pathogens and antimicrobial resistance (AMR). Unknown species with similarity to known genomes cause database bias in reference-based metagenomics. To improve surveillance, we seek to recover sewage genomes and develop a quantification and correlation workflow for these genomes and AMR over time. We use longitudinal sewage sampling in seven treatment plants from five major European cities to explore the utility of catch-all sequencing of these population-level samples. Using metagenomic assembly methods, we recover 2332 metagenome-assembled genomes (MAGs) from prokaryotic species, 1334 of which were previously undescribed. These genomes account for ~69% of sequenced DNA and provide insight into sewage microbial dynamics. Rotterdam (Netherlands) and Copenhagen (Denmark) show strong seasonal microbial community shifts, while Bologna, Rome, (Italy) and Budapest (Hungary) have occasional blooms of Pseudomonas-dominated communities, accounting for up to ~95% of sample DNA. Seasonal shifts and blooms present challenges for effective sewage surveillance. We find that bacteria of known shared origin, like human gut microbiota, form communities, suggesting the potential for source-attributing novel species and their ARGs through network community analysis. This could significantly improve AMR tracking in urban environments.

Indexed as

BacteriaMetagenomeMetagenomicsMicrobiotaSeasonsSewageEuropeHumansSewage

Identifiers

PMID39215001
PMCPMC11364805

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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.