Rapid promoter evolution of male accessory gland genes is accompanied by divergent expression in closely related <i>Drosophila</i> species
Bibliographic record
Abstract
Abstract Seminal fluid proteins (Sfps) are essential for reproductive success and evolve fast, possibly driven by post-copulatory sexual selection (PCSS) originating from sperm competition and cryptic female choice. Counterintuitively, however, the coding region only in few Sfps evolves adaptively. Hence, additional genomic and functional factors must play a role in Sfp evolution independent of the protein coding region. To shed light on drivers of Sfp evolution we focus on those Sfps predominantly expressed in male accessory glands, because this allows examination of their evolution in the tissue which produces the majority of Sfps. Moreover, accessory glands develop normally in hybrids in contrast to testis allowing to control for changes in cellular environment arising during speciation. Here, we discover that Acp promoters contain hot spots for rapid evolution from accumulation of sequence changes and insertions/deletions (indels). We further show that changes in promoter sequences are accompanied by gene expression divergence among closely related Drosophila species. We then validate these observations in Drosophila hybrids to show that species-specific expression divergence of Acps with rapidly evolving promoters are maintained in hybrids for some Acps, while others show dominance of one allele, a phenomenon termed transvection. These results indicate that cis -regulatory evolution, rather than genome background variation, drives Acp expression changes and promotes their rapid evolution.
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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".