Micro-scale Diversity and Persistence of Genomic Variants of the Yeast Saccharomyces paradoxus in a Natural Woodland Population
Bibliographic record
Abstract
Genetic diversity in populations of sister species, Saccharomyces cerevisiae and S. paradoxus, has been described at the global scale, but less at small spatial scales. Fine scale sampling over time captures dynamics in genome distribution, which may not be revealed in large-scaled studies. I investigated the population genomics of a local population to address two questions: is there genomic variation in a S. paradoxus population at a fine spatial scale (centimeters to tens of meters)? Does the distribution of genomic variants persist over time? I sampled 42 S. paradoxus strains from 2014 and 43 strains from 2015 collected from the same 72 microsites around four oak trees within 1km2 in a mixed hardwood forest in southern Ontario. As well, 6 samples were made from Maple or Beech. I found five differentiated clades coexisting within the sampled area and persistent population structure over the two years of my study.
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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 | 0.000 | 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 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".