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Record W2603822246 · doi:10.1111/mec.14126

The role of allochrony in speciation

2017· review· en· W2603822246 on OpenAlexaff
Rebecca S. Taylor, Vicki L. Friesen

Bibliographic record

VenueMolecular Ecology · 2017
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsBiologySympatric speciationReproductive isolationEcological speciationGenetic algorithmIncipient speciationEcologyEvolutionary biologySympatryGene flowPopulationGenetic variationGeneticsGene

Abstract

fetched live from OpenAlex

The importance of sympatric speciation - the evolution of reproductive isolation between codistributed conspecific individuals - in generating biodiversity is highly controversial. Allochrony, or differences in breeding time (phenology) between conspecific individuals, has the potential to lead to reproductive isolation and therefore speciation. We critically review the literature to test the importance of allochronic speciation over the three timescales over which allochrony can occur - over the day, between seasons or between years - and explore what is known about genomic mechanisms underlying allochrony in the diverse taxa in which it is found. We found that allochrony can be a key contributor to reproductive isolation, especially if populations have little overlap in breeding time and therefore little potential for gene flow, and may sometimes be the initial or key driver of speciation. Shifts in phenology can be caused by several factors, including a new ecological opportunity, environmental change, or reinforcement. The underlying genomic basis of allochrony has been studied mostly in insects, highlighting the need for genomic studies in other taxa; nonetheless, results to date indicate that several cases of allochrony involve changes in circadian genes. This review provides the first comprehensive discussion of the role of allochrony in speciation and demonstrates that allochrony as a contributor to divergence may be more widespread than previously thought. Understanding genomic changes and adaptations allowing organisms to breed at new times may be key in the light of phenological changes required under climate change.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.999
Threshold uncertainty score0.512

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 head0.062
GPT teacher head0.276
Teacher spread0.214 · 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 designOther design
Domainnot available
GenreReview

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

Citations165
Published2017
Admission routes1
Has abstractyes

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