Genetic diversity analysis in blackgram (<i>Vigna mungo</i> (L.) Hepper) using AFLP and transferable microsatellite markers from azuki bean (<i>Vigna angularis</i> (Willd.) Ohwi & Ohashi)
Bibliographic record
Abstract
Genetic diversity in 20 elite blackgram (Vigna mungo (L.) Hepper) genotypes was studied using microsatellite and AFLP markers. Thirty-six microsatellite markers from azuki bean (Vigna angularis (Willd.) Ohwi & Ohashi) were successfully amplified across the 20 blackgram genotypes and 33 microsatellite markers showed polymorphism. A total of 137 microsatellite alleles were generated with an average of 4.1 alleles per locus. The number of alleles ranged from two to nine and the polymorphic information content value for the microsatellite markers varied from 0.10 to 0.87 with an average of 0.49. Microsatellite markers were highly informative and a combination of only three microsatellite markers (CEDG264, CEDG173, and CEDG044) was sufficient to discriminate all 20 blackgram genotypes. In the case of AFLP, 11 primer pairs generated 324 polymorphic marker fragments. The polymorphic information content values for AFLP primer combinations ranged from 0.21 to 0.34 with an average of 0.29. Similarity measures and clustering analyses were made using microsatellite and AFLP data separately. The resulting dendrograms distributed the 20 blackgram genotypes into five main clusters. The dendrograms were comparable with each other with the Mantel test between the cophenetic matrices of microsatellite data and AFLP data showing moderate correlation (r = 0.64). The results of the principal components analysis were well congruent with the dendrograms. In the dendrograms as well as in the principal components analyses, genotype Trombay wild (Vigna mungo var. silvestris) was placed separately from rest of the genotypes. This study demonstrated that the azuki bean microsatellite markers are highly polymorphic and informative and can be successfully used for genome analysis in blackgram. Results indicate that sufficient variability is present in the blackgram genotypes and would be helpful in the selection of suitable parents for breeding purposes and gene mapping studies.
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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) | 0.000 | 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".