The influence of adaptation to life at high-altitude on condition dependent sexual shape and size dimorphism in <i>Drosophila melanogaster</i>
Bibliographic record
Abstract
Abstract Sexual dimorphism is common despite factors such as inter-sex genetic correlations and sex-specific patterns of selection that might limit its evolution. Sexual dimorphism can be phenotypically plastic and condition dependent, that themselves may be targets of selection. However, it remains unclear how sexual dimorphism, its plasticity and condition dependence evolves, in particular during rapid adaptation to a new environment. Furthermore, the interplay between SSD and other forms of dimorphism, such as shape dimorphism co-evolves. Using Sub-Saharan populations of Drosophila melanogaster that vary for size and shape as a result of adaptation to high altitude environments, we examined sex specific patterns of developmental plasticity. We raised strains of Drosophila from low (Zambia) and high (Ethiopia) altitude populations varying for food quality or rearing temperature. We observed expected differences in wing size and shape due to population, sex and plasticity. While larval mass showed substantial evolved changes for sex specific condition dependence, effects on wing size and shape were modest. We examined shape-size allometric effects between groups. Allometric effects were generally similar across sexes, but differed substantially due to population of origin and plasticity. We discuss findings within the context of the evolution of plasticity for SSD, condition dependence and allometric relationships.
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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".