Signature of Diversifying Selection on Members of the Pentatricopeptide Repeat Protein Family in <i>Arabidopsis lyrata</i>
Bibliographic record
Abstract
Pentatricopeptide repeat (PPR) proteins compose a family of nuclear-encoded transcriptional regulators of cytoplasmic genes. They have shown dramatic expansion in copy number in plants, and although the functional importance of many remains unclear, a subset has been repeatedly implicated as nuclear restorers for cytoplasmic male sterility. Here we investigate the molecular population genetics and molecular evolution of seven single-copy PPR genes in the outcrossing model plant Arabidopsis lyrata. In comparison with neutral reference loci, we find, on average, elevated levels of polymorphism and an excess of high-frequency variants at these PPR genes, suggesting that natural selection is maintaining polymorphism at some of these loci. This elevation in diversity persists when we control for divergence and generally decreases in the flanking regions, suggesting that these genes are themselves the targets of selection. Some of the PPR genes also demonstrate elevated population differentiation, which is consistent with spatially varying selection. In contrast, no comparable patterns are observed at these loci in A. thaliana, providing no evidence for the action of balancing selection in this selfing species. Taken together, these results suggest that a subset of PPR genes may be subject to balancing selection associated with ongoing cytonuclear coevolution in the outcrossing A. lyrata, which is possibly mediated either by intergenomic conflict or by compensatory evolution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".