Clonal longevity and the enigmatic flowering of woody bamboos are associated with rates of protein evolution
Bibliographic record
Abstract
) vary widely across the tree of life. In plants, both life-history traits and GC-biased gene conversion (gBGC) are thought to contribute to this variation, although disentangling their individual contributions remains a challenge. Using information on variation in life-history traits and molecular data in 148 species from Poaceae subfamilies Bambusoideae (mostly woody) and Pooideae (exclusively herbaceous), we investigated the relative importance of modes of reproduction and the non-selective forces of gBGC on protein evolutionary rates between the two subfamilies. Elevated rates of protein evolution associated with relaxed purifying selection were more evident in woody bamboos than in Pooideae and were better explained by reproductive modes than by traits that are likely proxies of effective population size. Although gBGC slightly reduced protein evolutionary rates in both subfamilies, its contribution had only a limited effect on molecular divergence between the groups. Forward simulations generally supported our empirical results on the influence of reproductive mode on selection and gBGC. Our findings from two sister lineages of the grass family provide evidence for association between protein evolution and life-history traits governing reproductive mode and enhance understanding of molecular evolution in plants with contrasting reproductive strategies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".