Rapidly Evolving Genes of Drosophila: Differing Levels of Selective Pressure in Testis, Ovary, and Head Tissues Between Sibling Species
Bibliographic record
Abstract
Investigations of rapidly evolving sex- and reproduction-related genes are expected to reveal important information about the process of speciation and species divergence. We screened testis, ovary, and head tissues to identify and characterize rapidly evolving genes (REGs) between closely related species. The results show differential patterns of evolution of genes expressed in reproductive and nonreproductive tissues. (1) There is a differential distribution of REGs in the Drosophila genome, with most REGs localized in the testis, followed by ovary, and then head. (2) Sequence analysis indicates that differential selective pressures are driving the rapid evolution of genes expressed in sex and nonsex tissues. Testis REGs from our data, on average, yielded higher rates of nonsynonymous substitutions relative to transcripts in ovary and head, indicating stronger selective pressures on the male reproductive system. (3) We identified REGs in the testis, ovary, as well as in head tissue that show evidence of evolving under positive selection. Identification of rapidly evolving sex genes is important for detailed investigations of cryptic female choice, sexual conflict, and faster male evolution and is pertinent to our understanding of the process of species divergence and speciation.
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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 | 0.001 | 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".