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Record W4285798388 · doi:10.1111/ibi.13117

Molecular evidence for introgressive hybridization in New Zealand masked gulls

2022· article· en· W4285798388 on OpenAlexafffund
Andrew D. Given, James A. Mills, Paolo Momigliano, Allan J. Baker

Bibliographic record

VenueIbis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsRoyal Ontario MuseumUniversity of Toronto
FundersAcademy of FinlandNatural Sciences and Engineering Research Council of CanadaRoyal Society Te Apārangi
KeywordsIntrogressionBiologyReproductive isolationGene flowZoologyMicrosatelliteMitochondrial DNAEvolutionary biologyCoalescent theoryGeneticsAlleleGenetic variationPopulationDemographyGenePhylogenetics

Abstract

fetched live from OpenAlex

We used mitochondrial DNA (mtDNA) gene sequences and nuclear microsatellite loci to investigate the extent and outcome of hybridization between the Black‐billed GullChroicocephalus bulleriand the Red‐billed GullChroicocephalus novaehollandiae scopulinusin New Zealand. Six of 26 sampled Black‐billed Gulls possessed mtDNA typical of Red‐billed Gulls, but allele frequencies at six polymorphic microsatellites provided little evidence of mixed ancestry expected in very recent hybrids. None of the Red‐billed Gulls sampled from different colonies possessed Black‐billed Gull mtDNA expected in the reciprocal cross, suggesting that hybridization in the two species typically occurs between female Red‐billed Gulls and Black‐billed Gull males. The lack of any hybrid signal in the nuclear loci indicates that there has been extensive backcrossing with Black‐billed Gulls, effectively diluting the Red‐billed Gull nuclear DNA contribution. Divergence of Red‐billed Gulls and Black‐billed Gulls occurred approximately 250 000 years ago, indicating that unsorted ancestral polymorphism is an unlikely alternative to hybridization. Comparing demographic models within an approximate Bayesian computation (ABC) framework, we confirm that the observed patterns cannot result from incomplete lineage sorting. Using an ABC random forest approach, we determined that the most likely model explaining the data is a recent introgression scenario, whereby unidirectional gene flow is re‐established following a period of strict isolation. The ability of Black‐billed and Red‐billed Gulls to successfully interbreed shows that despite significant differentiation (FST > 0.3), there has been insufficient time for the two species to develop complete reproductive isolation. The apparent one‐way transfer of Red‐billed Gull mtDNA into Black‐billed Gulls and extensive backcrossing argues against cytoplasmic–nuclear genome incompatibilities between the two species. We hypothesize that the specific mate recognition system cued on colours of soft parts normally functions to prevent hybridization, but that it can break down under demographic conditions where there is a shortage of available mates and a surplus of females in the Red‐billed Gull population. The high incidence of introgression in Black‐billed Gulls conflicts with field observations that interbreeding is extremely rare.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.281
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2022
Admission routes2
Has abstractyes

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