Genetic architecture of chalcone isomerase non-coding regions in common bean (Phaseolus vulgaris L.)
Bibliographic record
Abstract
Sequence data for 2 non-coding regions of the chalcone isomerase gene were analyzed to study the genetic architecture of common bean (Phaseolus vulgaris L.). One region corresponded to the first 596 nucleotides (nt) of the 5'-untranslated region (UTR). The other region was the 710 nt intron 3. Data were collected from 67 genotypes representing both landraces and cultivars from the geographical range of the cultivated form of the species. Variability in the 5'-UTR region was represented by single nucleotide polymorphisms (SNPs), whereas intron 3 variation was due to a collection of SNPs and insertion-deletion events. Diversity was greater in the 5'-UTR (pi = 0.0175) than in intron 3 (pi = 0.0089). For each region, diversity was greater for genotypes of Middle American than Andean origin. A single recombination event was observed, and the hybridization pattern necessary to derive the recombinant genotypes supported the previous observation of an ancestral gene pool from which modern domesticated genotypes are derived. For both regions, a strongly supported Andean group was observed, whereas the presence of 2 Middle American subgroups was also supported. Although a significantly positive Tajima's D statistic was observed for the 5'-UTR for all genotypes, we conclude that this is more likely the result of a strong demographic effect and that balancing selection is occurring only among the Middle American genotypes.
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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 | 0.001 |
| 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".