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Record W2135532464 · doi:10.1086/648559

Breakdown in Postmating Isolation and the Collapse of a Species Pair through Hybridization

2009· article· en· W2135532464 on OpenAlexfundno aff
Jocelyn E. Behm, Anthony R. Ives, Janette W. Boughman

Bibliographic record

VenueThe American Naturalist · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsReproductive isolationBiologySympatric speciationEcological speciationHybridGasterosteusSticklebackSympatryGenetic algorithmEcologyEvolutionary biologySelection (genetic algorithm)Genetic variationGeneticsFish <Actinopterygii>FisheryGene flowBotanyDemographyGenePopulation

Abstract

fetched live from OpenAlex

Species that evolved through ecological speciation and that lack intrinsic genetic incompatibilities may nonetheless be maintained by extrinsic postmating isolating barriers that impose selection against hybrids. These species, however, may be vulnerable to a breakdown in postmating isolation. Here, we investigate a model system for ecological speciation: sympatric limnetic-benthic pairs of threespine sticklebacks. Recently, stickleback hybrid abundance in Enos Lake has increased. Given that ecological selection against hybrids was historically an important component of total reproductive isolation, we tested whether ecologically dependent postmating isolation is still functioning. We compared body shape, diet, growth, and survival in present-day Enos fish with trait data in the undisturbed Paxton Lake species pair and with historical Enos Lake data. In both Paxton and historical Enos data, we found a strong correlation between body shape and diet; however, in present-day Enos fish, this correlation was absent. Using fitness estimates based on growth rates and survival, we found no evidence of selection against intermediate morphologies. It appears that postmating isolation has broken down, allowing hybrids to persist and contributing to the collapse of the species pair.

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 score0.189
Threshold uncertainty score0.317

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 studies0.0000.001
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 head0.005
GPT teacher head0.217
Teacher spread0.211 · 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

Citations120
Published2009
Admission routes1
Has abstractyes

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