Purifying and Positive Selection Influence Patterns of Gene Loss and Gene Expression in the Evolution of a Plant Sex Chromosome System
Bibliographic record
Abstract
Sex chromosomes are unique regions of the genome, with a host of properties that distinguish them from autosomes and from each other. Although there is extensive theory describing sex chromosome formation and subsequent degeneration of the Y chromosome, the relative importance of processes governing degeneration is poorly understood. In particular, it is not known whether degeneration occurs solely as a direct result of inefficient selection due to loss of recombination, or whether adaptive gene silencing on the Y chromosome results in most degeneration occurring neutrally. We used comparative transcriptome data from two related annual plants with highly heteromorphic sex chromosomes, Rumex rothschildianus and Rumex hastatulus, to investigate the patterns and processes underlying Y chromosome degeneration. The rate of degeneration varied greatly between the two species. In R. rothschildianus, we infer widespread gene loss, higher than previously reported for any plant. Gene loss was not random: genes with lower constraint and those not expressed during the haploid phase were more likely to be lost. There was indirect evidence of adaptive evolution on the Y chromosome from the over-expression of Y alleles in certain genes with sex-biased gene expression. There was no complete dosage compensation, but there was evidence for targeted dosage compensation occurring in more selectively constrained genes. Overall, our results are consistent with selective interference playing the dominant role in the degeneration of the Y chromosome, rather than adaptive gene silencing.
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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 | 0.001 | 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".