Ecological effects of genome size in yellow starthistle ( <i>Centaurea solstitialis</i> ) vary between invaded and native ranges
Bibliographic record
Abstract
Abstract Invasive species have become a pervasive threat on every continent and across a broad array of environments. Several traits predicted to promote invasion success, such as small seed size, rapid vegetative growth and short time to reproduction, are correlated with smaller genome sizes in a number of systems. To understand the influence of genome size on plant invasion dynamics, we compared genome sizes and traits in Centaurea solstitialis (YST) genotypes from the Californian invasion to those from their native source region in Spain. We conducted a common garden experiment and genome size survey to ask: (1) Is the invasion associated with genome size reduction? (2) To what extent can differences in genome size explain previously observed increases in plant size and reproduction in YST invasions? (3) Finally, we tested for expected evolutionary patterns in genome size across populations, including evidence of selection favouring reduced genome sizes at higher elevations, and evidence of stochastic processes leading to increases in genome sizes where effective population sizes are smaller. We found a reduction in corrected genome size in the invaded range, as well as significant interaction effects of range x elevation on genome size, and range x genome size on flowering time variation. Specifically, larger genomes tended to flower later and genome size decreased with increasing elevation in the invasion only. These emergent relationships in invading YST suggest potential selection for smaller genomes following introduction of YST to its invaded range. We also found a significant effect of measurement date on genome size estimation by flow cytometry, and this effect was more pronounced among native range genotypes.
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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 | 0.001 |
| 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".