THE EFFECT OF DELETERIOUS MUTATIONS AND AGE ON RECOMBINATION IN DROSOPHILA MELANOGASTER
Bibliographic record
Abstract
At the population level, recombination mediates the efficiency with which selection can eliminate deleterious mutations. At the individual level, deleterious alleles may influence recombination, which would change the rate at which linkage disequilibrium is eroded and thereby alter the efficiency with which deleterious alleles are purged. Here, we test whether the presence of a deleterious allele on one autosome affects recombination on another autosome. We find that deleterious alleles not only alter the rate but also the pattern of recombination. However, there is little support that different deleterious alleles affect recombination in a consistent manner. Because we have detailed information on individual females across their lifetimes, we are able to examine how recombination patterns change with age and find that these patterns are also affected by the presence of deleterious alleles. The differences among genotypes or among age classes are large enough to add substantial noise to genetic mapping experiments that do not consider these sources of 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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".