Evidence map›Paper›PMID 42154786›Full record

ReviewPLoS genetics2026

Why recombination hotspots?

Julien Joseph, Thomas Brazier, Marie Raynaud, Sylvain Glémin, Frédéric Baudat, Bernard de Massy, Nicolas Lartillot, Laurent Duret

Abstract readReview
In one paragraph

Review in PLoS genetics, 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

8 authors.

Julien JosephUniversité Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR5558, Villeurbanne, France.ORCID https://orcid.org/0009-0002-1312-9930
Thomas BrazierUniversité de Rennes, CNRS, ECOBIO, UMR6553, Rennes, France.ORCID https://orcid.org/0000-0001-5990-7545
Marie RaynaudISEM, Univ Montpellier, CNRS, IRD, Montpellier, France.ORCID https://orcid.org/0009-0006-1806-0986
Sylvain GléminUniversité de Rennes, CNRS, ECOBIO, UMR6553, Rennes, France.
Frédéric BaudatIGH, Univ Montpellier, CNRS, Montpellier‌‌, France.ORCID https://orcid.org/0000-0003-2415-8366
Bernard de MassyIGH, Univ Montpellier, CNRS, Montpellier‌‌, France.ORCID https://orcid.org/0000-0002-0950-2758
Nicolas LartillotUniversité Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR5558, Villeurbanne, France.ORCID https://orcid.org/0000-0002-9973-7760
Laurent DuretUniversité Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR5558, Villeurbanne, France.ORCID https://orcid.org/0000-0003-2836-3463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meiotic recombination is the process by which DNA is exchanged between parental chromosomes during the production of gametes in eukaryotes. This phenomenon has important implications for fertility, genetic diversity and genome stability. Intriguingly, not all regions of the genome are equally susceptible to recombine during meiosis. Instead, in many eukaryotes, recombination events are concentrated in short genomic segments called recombination hotspots. Since the first discovery of recombination hotspots, several theories have emerged to explain their existence. In this review, we discuss the relevance of these theories in regards of recent advances in characterizing the diversity and determinants of fine-scale recombination landscapes. Finally, we outline new research avenues for elucidating the evolutionary origins of recombination hotspots.

Indexed as

MeiosisRecombination, GeneticAnimalsEvolution, MolecularGenetic VariationGenomic InstabilityHumans

Identifiers

PMID42154786
PMCPMC13186367

What OpenQuestion holds

Textmetadata
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.