Evidence map›Paper›PMID 40090954›Full record

ArticleNature communications2025

Genetic compatibility and ecological connectivity drive the dissemination of antibiotic resistance genes.

David Lund, Marcos Parras-Moltó, Juan S Inda-Díaz, Stefan Ebmeyer, D G Joakim Larsson, Anna Johnning, Erik Kristiansson

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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  16. Characterization of anAntibiotics (Basel, Switzerland) · 2026
    Article
  17. Garrod lecture: achieving the UNGA AMR mortality reduction goals.The Journal of antimicrobial chemotherapy · 2026
    Article
  18. Article
  19. Article
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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

7 authors.

David LundDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4075-7529
Marcos Parras-MoltóDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.
Juan S Inda-DíazDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-3735-8300
Stefan EbmeyerCentre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Gothenburg, Sweden.
D G Joakim LarssonCentre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-5496-0328
Anna JohnningDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-2185-2432
Erik KristianssonDepartment of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden. erik.kristiansson@chalmers.se.ORCID http://orcid.org/0000-0002-8609-2414

Funding

Vetenskapsrådet (Swedish Research Council) 2018-02835Vetenskapsrådet (Swedish Research Council) 2018-05771Vetenskapsrådet (Swedish Research Council) 2019-03482Vetenskapsrådet (Swedish Research Council) 2022-00945
6 · The paper itself

Abstract

The dissemination of mobile antibiotic resistance genes (ARGs) via horizontal gene transfer is a significant threat to public health globally. The flow of ARGs into and between pathogens, however, remains poorly understood, limiting our ability to develop strategies for managing the antibiotic resistance crisis. Therefore, we aim to identify genetic and ecological factors that are fundamental for successful horizontal ARG transfer. We used a phylogenetic method to identify instances of horizontal ARG transfer in ~1 million bacterial genomes. This data was then integrated with >20,000 metagenomes representing animal, human, soil, water, and wastewater microbiomes to develop random forest models that can reliably predict horizontal ARG transfer between bacteria. Our results suggest that genetic incompatibility, measured as nucleotide composition dissimilarity, negatively influences the likelihood of transfer of ARGs between evolutionarily divergent bacteria. Conversely, environmental co-occurrence increases the likelihood, especially in humans and wastewater, in which several environment-specific dissemination patterns are observed. This study provides data-driven ways to predict the spread of ARGs and provides insights into the mechanisms governing this evolutionary process.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialGene Transfer, HorizontalAnimalsAnti-Bacterial AgentsGenome, BacterialHumansMetagenomeMicrobiotaPhylogenyWastewaterAnti-Bacterial AgentsWastewater

Identifiers

PMID40090954
PMCPMC11911422

What OpenQuestion holds

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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.