Development and characterization of microsatellite markers in<i>Cynara cardunculus</i>L.
Bibliographic record
Abstract
Cynara cardunculus L. is a species native to the Mediterranean basin that comprises 2 crops, globe artichoke (var. scolymus L.) and cultivated cardoon (var. altilis DC), as well as wild cardoon (var. sylvestris (Lamk) Fiori). Globe artichoke represents an important component of the South European agricultural economy but is also cultivated in North Africa, the Near East, South America, the United States, and China. Breeding activities and molecular marker studies have been, to date, extremely limited. Better knowledge of the genome of the species might be gained by developing a range of molecular markers. Here, we report on the development of 14 microsatellites (simple sequence repeats (SSRs)) through a novel approach that we have defined as the microsatellite amplified library (MAL). The approach represents a combination of amplified fragment length polymorphism and a primer extension based enriched library, is rapid, and requires no hybridization enrichment steps. The technique provided a approximately 40-fold increase in the efficiency of SSR identification compared with conventional library procedures. The developed SSRs were applied for genotyping 36 accessions of C. cardunculus, including a core of 27 varietal types of globe artichoke, 3 accessions of cultivated cardoon, and 6 Sicilian accessions of wild cardoon. Principal coordinates analysis made it possible to differentiate both cultivated and wild forms from each other.
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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".