Evidence map›Paper›PMID 38657048›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Evolution of homologous recombination rates across bacteria.

Ellis L Torrance, Corey Burton, Awa Diop, Louis-Marie Bobay

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
20.9field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
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  6. Linkage of nucleotide and functional diversity varies across gut bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  7. Article
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  13. Dynamics of dN/dS within recombining bacterial populations.bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Population structure ofMicrobial genomics · 2025
    Article
  17. Article
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  19. Review
  20. 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 2 institutions in 1 country.

Ellis L TorranceDepartment of Biology, University of North Carolina, Greensboro, NC 27412.ORCID 0009-0009-9440-7875
Corey BurtonDepartment of Biology, University of North Carolina, Greensboro, NC 27412.
Awa DiopDepartment of Biological Sciences, North Carolina State University, Raleigh, NC 27695.
Louis-Marie BobayDepartment of Biology, University of North Carolina, Greensboro, NC 27412.ORCID 0000-0002-0438-545X
North Carolina State University · USUniversity of North Carolina at Greensboro · US

Funding

Investigating the Impact and Patterns of Homologous Recombination and Adaptive Evolution on Bacterial GenomesR01GM132137 · NIGMS · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI BOBAY, LOUIS-MARIE · 2020 to 2024
$1.5M
NIGMS NIH HHS R01 GM132137
6 · The paper itself

Abstract

Bacteria are nonsexual organisms but are capable of exchanging DNA at diverse degrees through homologous recombination. Intriguingly, the rates of recombination vary immensely across lineages where some species have been described as purely clonal and others as "quasi-sexual." However, estimating recombination rates has proven a difficult endeavor and estimates often vary substantially across studies. It is unclear whether these variations reflect natural variations across populations or are due to differences in methodologies. Consequently, the impact of recombination on bacterial evolution has not been extensively evaluated and the evolution of recombination rate-as a trait-remains to be accurately described. Here, we developed an approach based on Approximate Bayesian Computation that integrates multiple signals of recombination to estimate recombination rates. We inferred the rate of recombination of 162 bacterial species and one archaeon and tested the robustness of our approach. Our results confirm that recombination rates vary drastically across bacteria; however, we found that recombination rate-as a trait-is conserved in several lineages but evolves rapidly in others. Although some traits are thought to be associated with recombination rate (e.g., GC-content), we found no clear association between genomic or phenotypic traits and recombination rate. Overall, our results provide an overview of recombination rate, its evolution, and its impact on bacterial evolution.

Indexed as

BacteriaBayes TheoremEvolution, MolecularHomologous RecombinationGenome, BacterialModels, GeneticPhylogenyRecombination, Geneticbacteriaevolutiongenomicshomologous recombination

Identifiers

PMID38657048
PMCPMC11067023
OpenAlexW4395069657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.