Latitudinal structured populations of the Mexican wild squash Cucurbita argyrosperma subsp. sororia revealed by microsatellite markers
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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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 | 0.000 |
| 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".