Testing for Effects of Recombination Rate on Nucleotide Diversity in Natural Populations of <i>Arabidopsis lyrata</i>
Bibliographic record
Abstract
We investigated DNA sequence diversity for loci on chromosomes 1 and 2 in six natural populations of Arabidopsis lyrata and tested for the role of natural selection in structuring genomewide patterns of variability, specifically examining the effects of recombination rate on levels of silent polymorphism. In contrast with theoretical predictions from models of genetic hitchhiking, maximum-likelihood-based analyses of diversity and divergence do not suggest reduction of diversity in the region of suppressed recombination near the centromere of chromosome 1, except in a single population from Russia, in which the pericentromeric region may have undergone a local selective sweep or demographic process that reduced variability. We discuss various possibilities that might explain why nucleotide diversity in most A. lyrata populations is not related to recombination rate, including genic recombination hotspots, and low gene density in the low recombination rate region.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".