Increased performance of offspring sired by parasitic males in bluegill sunfish
Bibliographic record
Abstract
Males of many species are characterized by alternative mating tactics. In bluegill sunfish (Lepomis macrochirus), some males delay maturation and become “parentals” while other males mature precociously and become “cuckolders.” Parentals use an overt, territorial mating tactic, defending a nest and courting females. Cuckolders instead use a sneaking tactic to parasitize parentals. It has previously been shown that parentals that are heavily cuckolded provide less care to their young, yet females do not appear to discriminate against cuckolders, and they may actually release more eggs when a cuckolder is present than when spawning only with a parental. Here I examined growth rate of fry of known paternity through the yolk-sac stage of development using complementary laboratory and field studies to assess a potential indirect benefit for females that mate with cuckolders. Comparison of maternal half-siblings sired in vitro shows that cuckolder offspring grow faster and to a larger size than parental offspring while feeding endogenously on their yolk sac. Because both food resource and maternal genes are equivalent across treatments, these data indicate a genetic difference in growth between the two male life histories. In the field, fry from nests that have proportionately more cuckolder offspring are larger when they emerge from the nest. This increased size can lead to threefold higher survivorship for cuckolder offspring than parental offspring from Hydra canadensis predation, a major predator of bluegill fry. These results are discussed in the context of mate choice for direct and indirect benefits and in the context of the evolution of alternative mating tactics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".