A Population Genomics Study of the<i>Arabidopsis</i>Core Cell Cycle Genes Shows the Signature of Natural Selection
Bibliographic record
Abstract
Large-scale comparison of sequence polymorphism and divergence at numerous genomic loci within and between closely related species can reveal signatures of natural selection. Here, we present a population genomics study based on direct sequencing of 61 mitotic cell cycle genes from 30 Arabidopsis thaliana accessions and comparison of the resulting data to the close relative Arabidopsis lyrata. We found that the Arabidopsis core cell cycle (CCC) machinery is not highly constrained but is subject to different modes of selection. We found patterns of purifying selection for the cyclin-dependent kinase (CDK), CDK subunit, retinoblastoma, and WEE1 gene families. Other CCC gene families often showed a mix of one or two constrained genes and relaxed purifying selection on the other genes. We found several large effect mutations in CDKB1;2 that segregate in the species. We found a strong signature of adaptive protein evolution in the Kip-related protein KRP6 and departures from equilibrium at CDKD;1 and CYCA3;3 consistent with the operation of selection in these gene regions. Our data suggest that within Arabidopsis, the genetic robustness of cell cycle-related processes is more due to functional redundancy than high selective constraint.
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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".