Genetic structure of Platanus mexicana var. mexicana (Platanaceae) in southern Mexico
Bibliographic record
Abstract
Platanus mexicana is a typical species of the tropical cloud forest with a complex biogeographical history. High adaptive radiation and interspecific hybridization have been reported for this species, leading to high genetic variability and low differentiation. However, previous studies have shown that populations in the southern part of the species’ distribution in Mexico show different patterns. Therefore, this research aimed at characterizing the genetic structure of three Platanus mexicana populations in southern Mexico. The results revealed significant differences between the populations in Oaxaca, Veracruz and Chiapas (FST = 0.235 ± 0.08), whereas there was evidence of gene flow between the two northwestern populations (Nm = 1.5). Bayesian analysis of allele frequencies showed high selection pressure in Veracruz. Furthermore, the alleles that shifted away from the neutral model were overrepresented in Chiapas. The Oaxaca population had the highest genetic variability values (He = 0.25; P = 68.7), whereas the Chiapas population displayed the highest differentiation (Nei = 0.134). Considering the biogeographical history and topographic heterogeneity of the region, the results suggest three differentiation processes: presence of a climate refugium in Oaxaca, allopatry between Veracruz and Oaxaca, and vicariance in Chiapas.
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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".