Evidence map›Paper›PMID 41184274›Full record

ArticleNature communications2025

Antibiotic resistance selection and deselection in municipal wastewater from 47 countries.

Zhuofeng Yu, Declan A Gray, Jerker Fick, Noel Waters, Richard Lindberg, Roman Grabic, Mats Tysklind, Mutshiene Deogratias Ekwanzala, Hannah-Marie Martiny, Carl-Fredrik Flach and 2 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

12 authors.

Zhuofeng YuCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-9077-7662
Declan A GrayCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden.
Jerker FickDepartment of Chemistry, Umea University, Umeå, Sweden.ORCID http://orcid.org/0000-0002-3949-7371
Noel WatersCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0009-0008-0538-3238
Richard LindbergDepartment of Chemistry, Umea University, Umeå, Sweden.
Roman GrabicResearch Institute of Fish Culture and Hydrobiology, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Vodňany, Czech Republic.ORCID http://orcid.org/0000-0002-0935-2075
Mats TysklindDepartment of Chemistry, Umea University, Umeå, Sweden.ORCID http://orcid.org/0000-0001-8709-6970
Mutshiene Deogratias EkwanzalaCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-6881-1262
Hannah-Marie MartinyResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID http://orcid.org/0000-0001-6733-7888
Carl-Fredrik FlachCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-4101-5095
Frank M AarestrupResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID http://orcid.org/0000-0002-7116-2723
D G Joakim LarssonCentre for Antibiotic Resistance Research (CARe) at the University of Gothenburg, Gothenburg, Sweden. joakim.larsson@fysiologi.gu.se.ORCID http://orcid.org/0000-0002-5496-0328

Funding

Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2020-03200Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2021-00922Svenska Forskningsrådet Formas (Swedish Research Council Formas) 2021-00949Vetenskapsrådet (Swedish Research Council) 2018-05771Vetenskapsrådet (Swedish Research Council) 2022-00945Vetenskapsrådet (Swedish Research Council) ERA-NET 243/2021
6 · The paper itself

Abstract

Wastewaters are plausible arenas for antibiotic resistance evolution and transmission, yet selection for resistance by municipal wastewater has rarely been empirically demonstrated. Here, we experimentally investigate the potential of untreated municipal wastewater from 47 countries to select for antibiotic resistance and explore possible drivers. Using a functional selection assay with 340 mixed Escherichia coli strains, we find that sterile-filtered samples from 14 countries select significantly for resistance to at least one antibiotic class compared to baseline, while the majority select significantly against resistance. Similar results were generated using natural wastewater communities. Additionally, we report a comprehensive characterization of antibiotics and antibacterial biocides in the wastewaters. None of the 22 analyzed antibiotics could be assigned as key drivers for selection in E. coli, whereas e.g. folate pathway antagonists and macrolides often exceed predicted non-selective concentrations for other bacteria by >10-fold. Despite detecting 13 (out of 20 analyzed) organic antibacterial biocides, their potential for co-selection remains unclear. Measured chemical constituents correlate only weakly with observed selection, suggesting complex mixture effects and/or selection by unmeasured compounds. The clear deselection of resistance by most samples indicates that many resistant strains have impaired fitness in wastewaters with limited antibiotic selection pressure.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialEscherichia coliSelection, GeneticWastewaterCitiesDisinfectantsMicrobial Sensitivity TestsAnti-Bacterial AgentsDisinfectantsWastewater

Identifiers

PMID41184274
PMCPMC12583516

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.