Evidence map›Paper›PMID 39116608›Full record

ArticleWater research2024

Dissemination and persistence of antimicrobial resistance (AMR) along the wastewater-river continuum.

Daniel S Read, H Soon Gweon, Michael J Bowes, Muna F Anjum, Derrick W Crook, Kevin K Chau, Liam P Shaw, Alasdair Hubbard, Manal AbuOun, Holly J Tipper and 5 more

Abstract read
In one paragraph

Article in Water research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Comparison of antimicrobial-resistantJournal of water and health · 2025
    Article
  11. Article
  12. Article
  13. Article
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

15 authors.

Daniel S ReadUK Centre for Ecology & Hydrology (UKCEH), Benson Lane, Crowmarsh Gifford, Wallingford OX10 8BB, UK. Electronic address: daniel.read@ceh.ac.uk.
H Soon GweonUK Centre for Ecology & Hydrology (UKCEH), Benson Lane, Crowmarsh Gifford, Wallingford OX10 8BB, UK; School of Biological Sciences, University of Reading, Reading, UK.
Michael J BowesUK Centre for Ecology & Hydrology (UKCEH), Benson Lane, Crowmarsh Gifford, Wallingford OX10 8BB, UK.
Muna F AnjumDepartment of Bacteriology, Animal and Plant Health Agency, Addlestone, Surrey KT15 3NB, UK.
Derrick W CrookNuffield Department of Medicine, University of Oxford, Oxford, UK.
Kevin K ChauNuffield Department of Medicine, University of Oxford, Oxford, UK.
Liam P ShawNuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Biology, University of Oxford, 11a Mansfield Road, Oxford OX1 3SZ, UK.
Alasdair HubbardNuffield Department of Medicine, University of Oxford, Oxford, UK; Department of Biosciences, Nottingham Trent University, Nottingham NG11 8NS, UK.
Manal AbuOunDepartment of Bacteriology, Animal and Plant Health Agency, Addlestone, Surrey KT15 3NB, UK.
Holly J TipperUK Centre for Ecology & Hydrology (UKCEH), Benson Lane, Crowmarsh Gifford, Wallingford OX10 8BB, UK.
Sarah J HoosdallyNuffield Department of Medicine, University of Oxford, Oxford, UK.
Mark J BaileyUK Centre for Ecology & Hydrology (UKCEH), Benson Lane, Crowmarsh Gifford, Wallingford OX10 8BB, UK.
A Sarah WalkerNuffield Department of Medicine, University of Oxford, Oxford, UK.
Nicole StoesserNuffield Department of Medicine, University of Oxford, Oxford, UK.
REHAB consortium

Funding

Department of Health NIHR200915
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global health hazard. Although clinical and agricultural environments are well-established contributors to the evolution and dissemination of AMR, research on wastewater treatment works (WwTWs) has highlighted their potential role as disseminators of AMR in freshwater environments. Using metagenomic sequencing and analysis, we investigated the changes in resistomes and associated mobile genetic elements within untreated wastewater influents and treated effluents of five WwTWs, and sediments collected from corresponding river environments in Oxfordshire, UK, across three seasonal periods within a year. Our analysis demonstrated a high diversity and abundance of antimicrobial resistance genes (ARGs) in untreated wastewater influents, reflecting the varied anthropogenic and environmental origins of wastewater. WwTWs effectively reduced AMR in the final effluent, with an average 87 % reduction in normalised ARG abundance and an average 63 % reduction in richness. However, wastewater effluents significantly impacted the antimicrobial resistome of the receiving rivers, with an average 543 % increase in ARG abundance and a 164 % increase in richness from upstream sediments to downstream sediments. The normalised abundance of the human gut-associated bacteriophage crAssphage was highly associated with both ARG abundance and richness. We observed seasonal variation in the resistome of raw influent which was not found in the effluent-receiving sediments. We illustrate the potential of WwTWs as focal points for disseminating ARGs and resistance-selecting chemicals, contributing to the elevation of environmental AMR. Our study emphasises the need for a comprehensive understanding of the anthropogenic impacts on AMR evolution and dissemination in wastewater and river environments, informing efforts to mitigate this growing public health crisis.

Indexed as

RiversWastewaterDrug Resistance, BacterialDrug Resistance, MicrobialWastewaterAntimicrobial resistanceResistomeRiverSedimentWastewater

Identifiers

PMID39116608
PMCPMC7617467

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.