Evidence map›Paper›PMID 42881158›Full record

ArticleNature communications2026

Mobile genetic elements drive a plasmid fusion and deletion lifecycle shaping evolution and antimicrobial resistance.

Thomas Ipoutcha, Yiqing Wang, Eduardo P C Rocha, José R Penadés

Abstract read
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In one paragraph

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

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

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

4 authors.

Thomas IpoutchaDepartment of Infectious Disease, Imperial College London, London, UK. t.ipoutcha@imperial.ac.uk.ORCID http://orcid.org/0000-0001-6266-9381
Yiqing WangInstitut Pasteur, Université de Paris Cité, CNRS UMR3525, Microbial Evolutionary Genomics, Paris, France.ORCID http://orcid.org/0000-0002-4816-5176
Eduardo P C RochaInstitut Pasteur, Université de Paris Cité, CNRS UMR3525, Microbial Evolutionary Genomics, Paris, France.ORCID http://orcid.org/0000-0001-7704-822X
José R PenadésDepartment of Infectious Disease, Imperial College London, London, UK. j.penades@imperial.ac.uk.ORCID http://orcid.org/0000-0002-6439-5262

Funding

RCUK | Medical Research Council (MRC) MR/X020223/1
6 · The paper itself

Abstract

Plasmids are key drivers of bacterial adaptation, yet the mechanisms that generate their diversity remain poorly understood. Here, we show that mobile genetic elements (MGEs) orchestrate a fusion-deletion life cycle that repeatedly remodels plasmids in Staphylococcus aureus. Large-scale genomic analyses reveal that multireplicon plasmids are widespread and strongly enriched in transposases. Using experimental assays, we demonstrate that rare MGE-mediated fusion events, via homologous recombination or transposition, combine distinct plasmids into single multireplicon elements, expanding gene content and transfer potential. Antibiotic pressure selectively enriches these fused plasmids, rescuing bacterial populations under stress, whereas opposing selective forces, including phage predation, favour deletion derivatives that preserve essential functions and phage transmissibility. This cyclical process generates dynamic plasmid repertoires with conserved backbones and diverse accessory modules. We propose that MGE-driven fusion-deletion cycles represent a general principle of plasmid evolution, explaining the rapid emergence and persistence of multidrug-resistant plasmids across bacterial pathogens.

Indexed as

Drug Resistance, BacterialDrug Resistance, Multiple, BacterialEvolution, MolecularInterspersed Repetitive SequencesPlasmidsStaphylococcus aureusAnti-Bacterial AgentsHomologous RecombinationAnti-Bacterial Agents

Identifiers

What OpenQuestion holds

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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.