Development, characterization, and transferability to other Solanaceae of microsatellite markers in pepper (<i>Capsicum annuum</i>L.)
Bibliographic record
Abstract
A novel set of informative microsatellite markers for pepper (Capsicum annuum L.) is provided. Screening of approximately 168 000 genomic clones and 23 174 public database entries resulted in a total of 411 microsatellite-containing sequences that could be used for primer design and functional testing. A set of 154 microsatellite markers originated from short-insert genomic libraries and 257 markers originated from database sequences. Of those markers, 147 (61 from genomic libraries and 86 from database sequences) showed specific and scoreable amplification products and detected polymorphisms between at least 2 of the 33 lines of a test panel consisting of cultivated and wild Capsicum genotypes. These informative markers were subsequently surveyed for allelic variation and information content. The usefulness of the new markers for diversity and taxonomic studies was demonstrated by the construction of consistent phylogenetic trees based on the microsatellite polymorphisms. Conservation of a subset of microsatellite loci in pepper, tomato, and potato was proven by cross-species amplification and sequence comparisons. For several informative pepper microsatellite markers, homologous expressed sequence tag (EST) counterparts could be identified in these related species that also carry microsatellite motifs. Such orthologs can potentially be used as reference markers and common anchoring points on the genetic maps of different solanaceous species.
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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 | 0.001 |
| 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) | 0.001 | 0.001 |
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".