Evidence map›Paper›PMID 37816069›Full record

ArticlePLoS genetics2023

Demographically explicit scans for barriers to gene flow using gIMble.

Dominik R Laetsch, Gertjan Bisschop, Simon H Martin, Simon Aeschbacher, Derek Setter, Konrad Lohse

Abstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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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

29 citing papers in PubMed.

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  9. Genomic analyses inEvolution letters · 2026
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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.

Dominik R LaetschInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-7887-0186
Gertjan BisschopInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8327-0142
Simon H MartinInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-0747-7456
Simon AeschbacherDepartment of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-5217-1926
Derek SetterInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-7101-443X
Konrad LohseInstitute of Ecology and Evolution, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-9918-058X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying regions of the genome that act as barriers to gene flow between recently diverged taxa has remained challenging given the many evolutionary forces that generate variation in genetic diversity and divergence along the genome, and the stochastic nature of this variation. Progress has been impeded by a conceptual and methodological divide between analyses that infer the demographic history of speciation and genome scans aimed at identifying locally maladaptive alleles i.e. genomic barriers to gene flow. Here we implement genomewide IM blockwise likelihood estimation (gIMble), a composite likelihood approach for the quantification of barriers, that bridges this divide. This analytic framework captures background selection and selection against barriers in a model of isolation with migration (IM) as heterogeneity in effective population size (Ne) and effective migration rate (me), respectively. Variation in both effective demographic parameters is estimated in sliding windows via pre-computed likelihood grids. gIMble includes modules for pre-processing/filtering of genomic data and performing parametric bootstraps using coalescent simulations. To demonstrate the new approach, we analyse data from a well-studied pair of sister species of tropical butterflies with a known history of post-divergence gene flow: Heliconius melpomene and H. cydno. Our analyses uncover both large-effect barrier loci (including well-known wing-pattern genes) and a genome-wide signal of a polygenic barrier architecture.

Indexed as

ButterfliesGene FlowAnimalsBiological EvolutionGenetic SpeciationLikelihood Functions

Identifiers

PMID37816069
PMCPMC10610087

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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.