Gene Regulation Divergence Is a Major Contributor to the Evolution of Dobzhansky–Muller Incompatibilities between Species of Drosophila
Bibliographic record
Abstract
The Dobzhansky-Muller model denotes incompatible gene interactions between diverging populations/species and is recognized as the basis of postzygotic reproductive isolation. Little is known about the molecular nature of such gene interactions. We have carried out comparative gene expression analyses in the testes of 3 closely related species of the Drosophila melanogaster subgroup and their hybrids (all of which are sterile). We show that in hybrids 1) a higher proportion of male-biased genes (i.e., genes with a higher level of expression in males) are underexpressed (or not expressed) compared with non-sex-biased genes, 2) the majority of the underexpressed genes appear to be under stabilizing selection by virtue of showing similar levels of expression in the parental species, and only a small proportion of genes show signs of directional selection, 3) very few of the misexpressed genes are shared between species pairs, suggesting that there may not be a "common" set of "speciation genes," and 4) expression of non-testes-specific genes is observed in the testes of interspecific hybrids, and the number of such genes is positively correlated with divergence time. These results suggest that gene regulation divergence of sex- and reproduction-related genes is a major contributor to the evolution of Dobzhansky-Muller incompatibilities between species of Drosophila.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".