The timing of mating influences reproductive success in <i>Drosophila melanogaster</i>: implications for sexual conflict
Bibliographic record
Abstract
Despite its potential importance, the role of the timing of mating(s) as a source of variation in female lifetime reproductive success has been largely overlooked. Here, using a laboratory-adapted population of the model species Drosophila melanogaster, we explore how temporal variation in the patterns of single and multiple matings influences female fecundity. We find that the boost to fecundity known to occur after a virgin female's initial mating also extends to subsequent matings as nonvirgins, but only for a short duration. This fecundity boost at least partially offsets the direct costs of multiple matings to females in this population of D. melanogaster. The implications of these results for our understanding of the evolution and maintenance of polyandry in this species are discussed in the context of sexual conflict.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".