Bibliographic record
Abstract
Transvection, a chromosome pairing-dependent form of trans-based gene regulation, is widespread in the Drosophila melanogaster genome. Recent studies demonstrate that transvection is sensitive to cell environment and type in D. melanogaster, implicating transvection as a complex trait. To test this possibility, we first established that trans-interactions previously documented at the Malic enzyme (Men) locus are transvection (i.e., pairing-dependent). We then characterized the sensitivity of transvection at the Men locus to changes in the environment (temperature) and genetic background (third chromosome). Transvection varied significantly across genetic backgrounds and was significantly reduced by changes in temperature, and the two factors interacted to further modify transvection, while cis-based gene regulation remained unchanged by temperature. To determine if differences in transvection observed across genetic background and temperature are related to their effects on transcription factor expression, and possibly the presence or absence of binding sites for these transcription factors within the Men locus, we tested the relationship between Men expression and five transcription factors with binding sites near the Men transcription start sit (TSS). We found correlations between the expression of at least one transcription factor, Abd-B, and the presence of binding sites for that factor, and Men expression across changes in the environment. We also determined that changes in Abd-B expression can directly affect Men expression in cis, suggesting that cis and trans-regulation can share regulatory components in at least some cases. Together, our findings stress the importance of studying genetic interactions from a dynamic perspective by incorporating both genetic and environmental variation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".