Evidence map›Paper›PMID 42296092›Full record

ArticlePLoS biology2026

Eco-evolutionary feedbacks drive the co-occurrence of restriction-modification systems and antimicrobial resistance genes in bacteria.

Joseph Westley, Paritosh Bedekar, Elizabeth Pursey, Mark D Szczelkun, Mario Recker, Stineke van Houte, Edze R Westra

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joseph WestleyCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.ORCID https://orcid.org/0000-0002-5673-5677
Paritosh BedekarCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.
Elizabeth PurseyCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.
Mark D SzczelkunDNA-Protein Interactions Unit, School of Biochemistry, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Mario ReckerCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.
Stineke van HouteCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.
Edze R WestraCentre for Ecology and Conservation, Faculty of Environment, Science, and Economy, University of Exeter, Penryn, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial pathogens commonly become drug resistant via horizontal acquisition of antimicrobial resistance genes (ARGs), which are often encoded on mobile genetic elements (MGEs). Although bacterial defence systems are typically considered barriers to horizontal gene transfer (HGT), previous studies revealed that bacteria with more restriction-modification (RM) systems (the most abundant bacterial defences) frequently carry more MGEs. It was suggested that this counterintuitive relationship might result from stronger selection for RM systems when exposure to costly MGEs increases. Here, we test this hypothesis using a combination of modeling and bioinformatics analysis of >40,000 bacterial genomes to better understand how eco-evolutionary feedbacks between selection for RM and acquisition of MGEs shape bacterial genome evolution. Our model predicts negative associations between HGT and RM, but only if RM diversity is high. By contrast, at low RM diversity, eco-evolutionary feedbacks drive the emergence of positive associations between HGT and RM. Consistent with these predictions, we identified negative relationships between acquired ARG counts and RM counts across species but positive relationships within individual species. Collectively, our work helps to understand how RM systems shape patterns of HGT of ARGs, which may offer opportunities for targeted surveillance of strains at higher risk of horizontally acquiring novel drug resistance alleles.

Indexed as

BacteriaDNA Restriction-Modification EnzymesDrug Resistance, BacterialEvolution, MolecularGenes, BacterialAnti-Bacterial AgentsGene Transfer, HorizontalGenome, BacterialInterspersed Repetitive SequencesAnti-Bacterial AgentsDNA Restriction-Modification Enzymes

Identifiers

PMID42296092
PMCPMC13293514

What OpenQuestion holds

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LicenceCC BY
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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.