Development of microsatellite markers in <i>Fragaria</i>, their use in genetic diversity analysis, and their potential for genetic linkage mapping
Bibliographic record
Abstract
We have developed 21 new microsatellites in the model diploid perennial species Fragaria vesca from an enriched genomic library developed using F. vesca 'Ruegen'. The transferability of the primer pairs to other Fragaria species was high; all 31 primer pairs produced amplicons in 3 accessions of the octoploid strawberry Fragaria x ananassa, whereas 24 (77%) amplified a product in 7 other diploid Fragaria species. We analysed the allelic variation among 15 F. vesca accessions using the 21 microsatellites reported here and 10 F. vesca microsatellites described previously. The level of polymorphism detected at these microsatellite loci was high; five loci were monomorphic. Only two microsatellites were required to unambiguously discriminate among the 15 F. vesca accessions. A preliminary survey of segregation in an F2 progeny indicates that 20 of the 26 polymorphic loci (77%) could be mapped.
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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 | 0.000 | 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".