Evidence map›Paper›PMID 38409539›Full record

ReviewMolecular systems biology2024

Global epistasis in plasmid-mediated antimicrobial resistance.

Javier DelaFuente, Juan Diaz-Colunga, Alvaro Sanchez, Alvaro San Millan

Open access · goldAbstract readReview
In one paragraph

Review in Molecular systems biology, 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
3.1field-weighted citation impact, top 7% of its field
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, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Genomic and Phenotypic Characterization of Two High-RiskAntibiotics (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Report of High-Risk Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025
    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

4 authors at 3 institutions in 1 country.

Javier DelaFuente *Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.ORCID http://orcid.org/0000-0002-8844-9704
Juan Diaz-Colunga *Centro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain.ORCID http://orcid.org/0000-0001-8995-4529
Alvaro SanchezCentro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain. alvaro.sanchez@usal.es.ORCID http://orcid.org/0000-0002-2292-5608
Alvaro San MillanCentro Nacional de Biotecnología (CNB-CSIC), Madrid, Spain. asanmillan@cnb.csic.es.ORCID http://orcid.org/0000-0001-8544-0387
Universidad de Salamanca · ESCentro Nacional de Biotecnología · ESInstituto de Salud Carlos III · ES

Funding

EC | ERC | HORIZON EUROPE European Research Council (ERC) 757440-PLASREVOLUTIONEC | ERC | HORIZON EUROPE European Research Council (ERC) ERC,ECOPROSPECTOR,101088469EC | European Research Council (ERC) Project PCI2021-122062-2AMinisterio de Ciencia e Innovación (MCIN) grant PID2021-125478NA-I00
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in bacteria is a major public health threat and conjugative plasmids play a key role in the dissemination of AMR genes among bacterial pathogens. Interestingly, the association between AMR plasmids and pathogens is not random and certain associations spread successfully at a global scale. The burst of genome sequencing has increased the resolution of epidemiological programs, broadening our understanding of plasmid distribution in bacterial populations. Despite the immense value of these studies, our ability to predict future plasmid-bacteria associations remains limited. Numerous empirical studies have recently reported systematic patterns in genetic interactions that enable predictability, in a phenomenon known as global epistasis. In this perspective, we argue that global epistasis patterns hold the potential to predict interactions between plasmids and bacterial genomes, thereby facilitating the prediction of future successful associations. To assess the validity of this idea, we use previously published data to identify global epistasis patterns in clinically relevant plasmid-bacteria associations. Furthermore, using simple mechanistic models of antibiotic resistance, we illustrate how global epistasis patterns may allow us to generate new hypotheses on the mechanisms associated with successful plasmid-bacteria associations. Collectively, we aim at illustrating the relevance of exploring global epistasis in the context of plasmid biology.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialBacteriaEpistasis, GeneticGenome, BacterialPlasmidsAnti-Bacterial AgentsAntimicrobial ResistanceEvolutionGlobal EpistasisMicrobiologyPlasmids

Identifiers

PMID38409539
PMCPMC10987494
OpenAlexW4392169204

What OpenQuestion holds

Textmetadata
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.