Cross-species microsatellite amplification in<i>Vasconcellea</i>and related genera and their use in germplasm classification
Bibliographic record
Abstract
To generate inexpensive and efficient DNA markers for addressing a number of population genetics problems and identification of wild hybrids in Vasconcellea, we have evaluated the use of simple sequence repeat (SSR) primers previously developed for other species. A set of 103 Vasconcellea accessions and some individuals of the related genera Carica and Jacaratia were analyzed with 10 primer pairs directing amplification of chloroplast microsatellites in Nicotiana tabacum and 9 nuclear SSR primer pairs recently identified in Vasconcellea x heilbornii. Heterologous amplification of chloroplast SSRs was successful for 8 of the 10 loci, of which 6 showed polymorphism. Seven of the 9 nuclear SSR primer pairs were useful in Vasconcellea and often also in Jacaratia and Carica, all revealing polymorphism. Exclusive haplotypes for each described taxon were identified based on chloroplast microsatellite data. Clustering based on separate nuclear and chloroplast data resulted in a clear grouping per taxon, but only low resolution was obtained above species level. The codominancy of nuclear SSRs and the general high polymorphism rate of SSR markers will make them more useful in future population genetics studies and diversity assessment in conservation programs.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".