Investigation of IRAP transposon-based molecular markers for analysis of genetic diversity in pea germplasm
Bibliographic record
Abstract
Retrotransposons diversity has been extensively studied in monocots, but it is not well documented in dicot species. Transposition activity of transposons creates DNA polymorphism and their abundant presence in genomes is making transposons a promising marker system for varietal identification and fingerprinting. In this study, four transposon-based markers (two DNA- and two RNA-transposons) were employed to evaluate the effectiveness of Inter-Retrotransposon Amplified Polymorphism (IRAP) transposon system in assessing genetic diversity in pea germplasm accessions. A total of 28 alleles were detected across the 35 pea accessions with number of alleles per locus ranged from 5 (Mutator) to 9 (Cyclops). RNA transposons produced a higher number of polymorphic alleles (Ogre: 8, Cyclops: 9) than DNA transposon markers (Mutator: 5, MITE: 6). Overall mean PIC value and D values for these transposon markers were 0.810 and 0.817 respectively. Genetic similarity values ranged from 0.143 to 0.823 with a mean similarity value of 0.403. Cluster analysis classified pea genotypes into six major groups that were somewhat consistent with their geographical origins. The molecular analyses differentiated all the 35 accessions and generated higher PIC and D values that can be useful for MAS-based breeding programs in pea.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".