Latitudinal structured populations of the Mexican wild squash Cucurbita argyrosperma subsp. sororia revealed by microsatellite markers
Why this work is in the frame
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Bibliographic record
Abstract
Crop wild relatives represent an important agronomic resource for crop improvement and biodiversity conservation. The wild squash Cucurbita argyrosperma subsp. sororia. (Cucurbitaceae) has been considered the wild ancestor of cultivated forms of C. argyrosperma. In order to characterise the geographic patterns of genetic variation in this wild cucurbit and to identify priority areas for conservation, we analysed the genetic diversity and structure of natural populations along the Mexican Pacific coast. By using 14 polymorphic microsatellites, we genotyped 378 individuals sampled from 61 locations. Standard population genetics analyses and group testing were conducted on the genotypes with the aid of principal coordinate analysis and Bayesian analysis. Overall, we found an average of 12.3 alleles per locus and an expected heterozygosity of 0.756. We found greater genetic diversity in southern populations. The fixation index was 0.113, suggesting a mixed mating system. The Mantel test revealed a minor distance effect on genetic differentiation between individuals (r = 0.321). Finally, we found three main groups of populations arranged in a mostly latitudinal pattern, from Sinaloa (north-west) to Oaxaca–Guerrero (south-east). The greater genetic diversity and heterogeneity among southern populations (Guerrero–Oaxaca), suggests that this region is an important centre of diversity of this wild squash with important implications for conservation.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it