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Record W2286291855 · doi:10.1093/beheco/arv159

Postcopulatory consequences of female mate choice in a fish with alternative reproductive tactics

2015· article· en· W2286291855 on OpenAlexaff
John L. Fitzpatrick, David J. D. Earn, Carol Bucking, Paul M. Craig, Sunita R. Nadella, Chris M. Wood, Sigal Balshine

Bibliographic record

VenueBehavioral Ecology · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsMcMaster UniversityBamfield Marine Sciences Centre
Fundersnot available
KeywordsBiologySperm competitionMate choiceSexual selectionMatingCompetition (biology)SpermZoologyEcologyFemale sperm storageReproductive successDemographyPopulationGenetics

Abstract

fetched live from OpenAlex

Mate choice plays a well-known role in the evolution of secondary sexual traits important in precopulatory competition. However, few studies have linked mate choice with the evolution of postcopulatory competitive traits. Here, we explore how variation in male mating behaviors and female mate choice influences male investment in reproductive traits that enhance sperm competition, a form of postcopulatory male–male competition. By combining ecological and physiological data from wild plainfin midshipman ( Porichthys notatus ), a marine fish species with 2 alternative reproductive tactics (guarder and sneaker males), we show that female mate choice is associated with uneven sperm competition risk between male reproductive tactics as well as among males using the same reproductive tactic. Larger guarder males attracted more females and experienced higher rates of attempted cuckoldry compared with smaller guarder males. In turn, larger guarder males appear adapted to this increased sperm competition risk, producing faster sperm than smaller guarder males. Sneaker males (the smallest males of all) had faster swimming sperm, with larger sperm midpieces and smaller sperm heads than did guarder males. These results suggest that female choice can amplify the selection gradient acting on males both between and within reproductive tactics.

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 score0.058
Threshold uncertainty score0.748

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 head0.086
GPT teacher head0.311
Teacher spread0.225 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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