Identification of genes and gene pathways affecting fertility in male Drosophila
Bibliographic record
Abstract
Drosophila females remate generating an opportunity for sperm competition. Normally the second male to mate sires the majority of progeny; however, conspecific sperm precedence is the phenomena whereby the male of the same species as the female fathers the majority of the progeny regardless of mating order. I surveyed D. simulans laboratory strains carrying D. mauritiana P-element insertions (IG lines) for their ability to sire progeny when second to mate. I found significant variation in the proportion of progeny sired by IG lines, with lines showing sperm competitive breakdown (P2< 0.5). I identified two loci that account for conspecific sperm precedence between D. simulans and D. mauritiana. 81 candidate genes were identified and narrowed down the list on the basis of differences in male reproductive tract gene expression to five (P< 0.05) or eight (P<0.1) genes. A larger concentration of differentially regulated genes within the 89B position was found. Using coding sequence data I identified 10 genes as candidate conspecific male precedence genes. Genes in the 89B region come to light as candidates for future functional studies of conspecific male precedence.
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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".