Longevity is heritable and negatively genetically correlated between the sexes in yellow-bellied marmots
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Bibliographic record
Abstract
Abstract Longevity, a major fitness component, is heritable in multiple species, including both captive and wild populations, and often varies widely between the sexes. The sex-specific genetic architecture of longevity, however, has rarely been estimated in wild populations, despite its potentially large implication for the evolutionary dynamic of a species. Using a long-term study of wild yellow-bellied marmots, a hibernating rodent, we estimated sex-specific additive genetic variance VA and the cross-sex genetic correlation rfm of longevity. Given the challenges associated with accurately measuring longevity in the wild, we used a new analytical approach based on a Censored Poisson distribution allowing us to integrate measurement errors on longevity in the model. Our approach revealed moderate and comparable VA in both sexes and a strongly negative rfm, albeit with large credible intervals. This contrasts with the results from a classic model with a restricted dataset for which VA in males was estimated as zero, rendering the rfm inestimable and uninterpretable. Our results suggest that studying selection and evolution while focusing on only one sex can lead to erroneous predictions given that, in marmots, selection pressures increasing longevity in one sex would inherently select for the reverse effect in the other sex. Taken together, this suggests the possible presence of a self-reinforcing feedback loop for the development of different life-history strategies among sexes in marmots, with long-lived females producing short-lived males who must maximize early life reproductive success (“live-fast die-young” strategy) and vice versa. Our study provides rare evidence of heritable longevity in a wild population and highlights how genetic conflicts between the sexes may constrain evolution and help maintain sex-specific genetic variance in fitness.
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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 | 0.000 | 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) | 0.000 | 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 it