Evidence map›Paper›PMID 35460311›Full record

ArticleMolecular ecology2022

Whole-genome analysis of multiple wood ant population pairs supports similar speciation histories, but different degrees of gene flow, across their European ranges.

Beatriz Portinha, Amaury Avril, Christian Bernasconi, Heikki Helanterä, Josie Monaghan, Bernhard Seifert, Vitor C Sousa, Jonna Kulmuni, Pierre Nouhaud

Abstract read
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Article in Molecular ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

9 authors.

Beatriz PortinhaOrganismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-5168-5159
Amaury AvrilDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Christian BernasconiAlpine Foundation for Life Science, Blenio, Switzerland.
Heikki HelanteräEcology and Genetics research unit, University of Oulu, Oulu, Finland.
Josie MonaghanDepartment of Biology, University of York, York, UK.
Bernhard SeifertSenckenberg Museum of Natural History Görlitz, Görlitz, Germany.
Vitor C SousacE3c, Centre for Ecology, Evolution and Environmental changes, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal.
Jonna KulmuniOrganismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8852-0793
Pierre NouhaudOrganismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4923-0993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of demographic history modelling and inference to the study of divergence between species has become a cornerstone of speciation genomics. Speciation histories are usually reconstructed by analysing single populations from each species, assuming that the inferred population history represents the actual speciation history. However, this assumption may not be met when species diverge with gene flow, for example, when secondary contact may be confined to specific geographic regions. Here, we tested whether divergence histories inferred from heterospecific populations may vary depending on their geographic locations, using the two wood ant species Formica polyctena and F. aquilonia. We performed whole-genome resequencing of 20 individuals sampled in multiple locations across the European ranges of both species. Then, we reconstructed the histories of distinct heterospecific population pairs using a coalescent-based approach. Our analyses always supported a scenario of divergence with gene flow, suggesting that divergence started in the Pleistocene (c. 500 kya) and occurred with continuous asymmetrical gene flow from F. aquilonia to F. polyctena until a recent time, when migration became negligible (2-19 kya). However, we found support for contemporary gene flow in a sympatric pair from Finland, where the species hybridise, but no signature of recent bidirectional gene flow elsewhere. Overall, our results suggest that divergence histories reconstructed from a few individuals may be applicable at the species level. Nonetheless, the geographical context of populations chosen to represent their species should be taken into account, as it may affect estimates of migration rates between species when gene flow is spatially heterogeneous.

Indexed as

AntsGene FlowAnimalsGenetic SpeciationGenomeHumansSympatrydemographic inferencedivergence with gene flowFormica red wood antssecondary contactsite frequency spectrumsympatry

Identifiers

PMID35460311
PMCPMC9320829

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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.