Alleles of <i>Chaser</i>, a dominant modifier of the <i>Drosophila melanogaster foraging</i> gene, are consistent with variegating alleles of the heterochromatic gene <i>spookier</i>
Bibliographic record
Abstract
The relationship between genes and quantitative behavioral traits involves complex regulatory networks. Identifying genes that operate in these regulatory pathways can be challenging, especially when dealing with dominant genetic factors. Our work has focused on a naturally occurring behavioral polymorphism in larval foraging behavior in Drosophila melanogaster. This polymorphism in larval foraging behavior arises from variation in the foraging (for) gene with its rover and sitter naturally occurring variants. The dominant rover allele (forR) results in larvae which move longer distances while foraging compared with larvae with the recessive sitter (fors) alleles. In this article, we report the successful mapping of the Chaser (Csr) gene, a dominant modifier of larval foraging behavior which makes sitter larvae behave in a rover-like manner. We localized Csr by first mapping recessive phenotype tags closely linked to Csr. These phenotype tags mapped to the centromeric heterochromatin on the right arm of chromosome 3. We showed through a combination of deletion mapping, qRT-PCR and feeding of ecdysone hormone to larvae during development that the alleles of Csr are consistent with variegating alleles of the gene spookier (spok). With spok being an essential gene in the synthesis of the molting hormone ecdysone, we have established a link between ecdysone signaling and larval foraging behavior in D. melanogaster.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".