Evidence map›Paper›PMID 40808669›Full record

ArticleMolecular ecology2025

Recombination Rate and Recurrent Linked Selection Shape Correlated Genomic Landscapes Across a Continuum of Divergence in Swallows.

Drew R Schield, Javan K Carter, Megan G Alderman, Keaka Farleigh, Dylan K Highland, Rebecca J Safran

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Antimicrobial Resistant Factors inInternational journal of genomics · 2026
    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

6 authors.

Drew R SchieldDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.ORCID 0000-0001-7854-9480
Javan K CarterDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.ORCID 0000-0001-5104-9283
Megan G AldermanDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA.
Keaka FarleighDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA.
Dylan K HighlandDepartment of Biology, University of Virginia, Charlottesville, Virginia, USA.
Rebecca J SafranDepartment of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, USA.

Funding

Division of Biological Infrastructure 1906188Division of Biological Infrastructure 2409958Division of Environmental Biology 1149942Division of Integrative Organismal Systems 1856266
6 · The paper itself

Abstract

Disentangling the drivers of genomic divergence during speciation is essential to our broader understanding of the generation of biological diversity. Genetic changes accumulate at variable rates across the genome as populations diverge, leading to heterogenous landscapes of genetic differentiation. The 'islands of differentiation' that characterise these landscapes harbour genetic signatures of the evolutionary processes that led to their formation, providing insight into the roles of these processes in adaptation and speciation. Here, we study swallows in the genus Hirundo to investigate genomic landscapes of differentiation between species spanning a continuum of evolutionary divergence. Genomic differentiation spans a wide range of values (F

Indexed as

Genetic SpeciationGenetics, PopulationRecombination, GeneticSelection, GeneticSwallowsAnimalsEvolution, MolecularGenetic VariationGenomeGenomicsdivergent selectiongenetic hitchhikingpasserinespopulation genomicsrecombinationspeciation

Identifiers

PMID40808669
PMCPMC12617069

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.