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Record W4410888384 · doi:10.1093/evolut/qpaf110

History of speciation inferred from genomic analysis of a species complex of north temperate fishes

2025· article· en· W4410888384 on OpenAlexafffund
Eric B. Taylor, Armando Geraldes, Jessica Shen

Bibliographic record

VenueEvolution · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsUniversity of British ColumbiaRoyal British Columbia Museum
FundersNatural Sciences and Engineering Research Council of CanadaBurke Museum, University of WashingtonUniversité LavalCompute CanadaUniversity of Washington
KeywordsSalvelinusBiologyArctic charMonophylyArcticGene flowRange (aeronautics)Lineage (genetic)EcologyBiogeographyZoologyEvolutionary biologyPhylogeneticsCladeFisheryGenetic variationFish <Actinopterygii>GeneTrout

Abstract

fetched live from OpenAlex

Comparative biogeographic analyses have provided key insights into the history of divergence among closely related species. We collected genomic data across much of the range of two salmonid fishes, Arctic char (Salvelinus alpinus) and Dolly Varden (S. malma), that comprise a complex of lineages whose relationships and evolutionary interactions have remained uncertain. A time-calibrated phylogeny indicated reciprocal monophyly of S. alpinus and S. malma, that the species diverged an estimated ∼1.4 million years ago, and that eastern Pacific Southern Dolly Varden (S. malma lordi) is the basal lineage within S. malma. Historical and contemporary gene flow were detected between species and regional groups within species. We found strong evidence for a model of divergence without gene flow between S. alpinus and S. malma followed by secondary contact about 14,500 years ago with subsequent gene flow. Our geographic and genomic investigation within the S. alpinus-S. malma complex clarifies the origin and inter-relationships of the species and further highlights the North Pacific and Arctic as dynamic areas of evolution of regional faunas.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.212
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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