Evidence map›Paper›PMID 28634295›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Population-genomic inference of the strength and timing of selection against gene flow.

Simon Aeschbacher, Jessica P Selby, John H Willis, Graham Coop

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
13.9field-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

62 citing papers in PubMed, 135 citations in OpenAlex.

  1. Article
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  3. Evolution of genome-wide barriers to gene flow during complex speciation in rattlesnakes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  18. The temporal and genomic scale of selection following hybridization.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Genome evolution is surprisingly predictable after initial hybridization.bioRxiv : the preprint server for biology · 2023
    Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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 2 countries.

Simon AeschbacherDepartment of Evolution and Ecology, University of California, Davis, CA 95616; saeschbacher@mac.com.ORCID 0000-0001-5217-1926
Jessica P SelbyDepartment of Biology, Duke University, Durham, NC 27708.
John H WillisDepartment of Biology, Duke University, Durham, NC 27708.
Graham CoopDepartment of Evolution and Ecology, University of California, Davis, CA 95616.
Duke University · USUniversity of Bern · CHUniversity of California, Davis · US

Funding

Recombination rate variation and evolution in vertebratesR01GM083098 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2007 to 2024
$4.6M
Genome-wide approaches to polygenic adaptationR01GM108779 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI COOP, GRAHAM · 2014 to 2019
$1.0M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
NIGMS NIH HHS R01 GM083098NIGMS NIH HHS R01 GM108779NIH HHS S10 OD018164
6 · The paper itself

Abstract

The interplay of divergent selection and gene flow is key to understanding how populations adapt to local environments and how new species form. Here, we use DNA polymorphism data and genome-wide variation in recombination rate to jointly infer the strength and timing of selection, as well as the baseline level of gene flow under various demographic scenarios. We model how divergent selection leads to a genome-wide negative correlation between recombination rate and genetic differentiation among populations. Our theory shows that the selection density (i.e., the selection coefficient per base pair) is a key parameter underlying this relationship. We then develop a procedure for parameter estimation that accounts for the confounding effect of background selection. Applying this method to two datasets from

Indexed as

Gene FlowGenetics, PopulationPolymorphism, GeneticBiological EvolutionCaliforniaGenetic SpeciationGenomicsGeographyMimulusModels, GeneticPhylogenyRecombination, GeneticReproductive IsolationSelection, GeneticSpecies Specificitydivergencelocal adaptationMimulusrecombinationspeciation with gene flow

Identifiers

PMID28634295
PMCPMC5502586
OpenAlexW2951943720

What OpenQuestion holds

Textmetadata
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.