Enhancing the survival and expansion potential of a founder population through clonality
Bibliographic record
Abstract
• Although founder populations often have low diversity, they can potentially serve as stepping stones for further colonization, as refugia during nonoptimal times and as a source of specialized adaptive potential. The demonstration of such potential within natural plant populations has proven to be particularly difficult. Our investigation into a geographically disjunct population of a heterostylous shrub, Erythroxylum pusillum, aims to explore the evolutionary and ecological consequences of being an isolated founder population. • Microsatellite-based analyses were used to find evidence for, and trace the origins of, a severe founder effect. Molecular and spatial evidence was used to quantify clonality and to discover proof of somaclonal mutations. • We describe the unprecedented case of an isolated population that persisted through historical environmental fluctuations and in marginal habitat through vegetative spread, and is counteracting the lack of sexual recombination and gene flow through somatic mutation. • Our findings advance our understanding of how founder populations survive, differentiate and evolve. They also have implications for how conservation agencies should perceive and manage previously considered 'dead-end' populations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".