Distribution and molecular diversity of arborescent<i>Gossypium</i>species
Bibliographic record
Abstract
Mexico is a center of diversity of Gossypium . As currently circumscribed, arborescent Gossypium species (subsection Erioxylum ) are widely distributed in dry deciduous forests located from Sinaloa in the north of its range to Oaxaca in the south of its range. However, extensive morphological variation exists among accessions from these different geographic regions. The objective of this work was to determine whether the observed morphological variation is reflected at the molecular level. Molecular diversity and phylogenetic relationships were estimated with 210 randomly amplified polymorphic DNA fragments and 766 amplified fragment length polymorphism fragments among 33 accessions of arborescent Gossypium, including 23 of Gossypium aridum , the most widely distributed of the arborescent Mexican diploid Gossypium species. Over 90% of the fragments were polymorphic; however, each accession contained only between 32% and 46% of the total loci. Two thirds of the loci among the G. aridum accessions had allelic frequencies lower than 80%. The genetic distance between Gossypium gossypioides (subsection Selera ) and species of subsection Erioxylum ranged between 0.64 and 0.84. The genetic distance between two recognized species, Gossypium lobatum and Gossypium schwendimanii , within subsection Erioxylum was 0.32. Most molecular data support the traditional classification of Gossypium species and the geographical ecotypes of the G. aridum accessions. A newly collected accession, US-72, of subsection Erioxylum was genetically distant (range, 0.42–0.54) from the other species of the subsection. Molecular data support the recognition of this taxon as a new species. The molecular diversity among accessions of G. aridum was greater than that among the species of subsection Erioxylum. The results indicate this subsection deserves additional study to establish a defensible taxonomic treatment of the various taxa and to resolve genetically distant geographical ecotypes.
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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".