Towards the saturation of the pepper linkage map by alignment of three intraspecific maps including known-function genes
Bibliographic record
Abstract
Three populations composed of a total of 215 doubled haploid lines and 151 F2 individuals were used to design an intraspecific consensus map of pepper (Capsicum annuum L.). The individual maps varied from 685 to 1668 cM with 16 to 20 linkage groups (LGs). The alignment of the three individual maps permitted the arrangement of 12 consensus major linkage groups corresponding to the basic chromosome number of pepper and displaying a complex correspondence with the tomato map. The consensus map contained 100 known-function gene markers and 5 loci of agronomic interest (the disease-resistance loci L, pvr2, and Pvr4; the C locus, which determines capsaicin content; and the up locus, controlling the erect habit of the fruits). The locations of three other disease-resistance loci (Tsw, Me3, and Bs3) and the y locus, which determines the yellow fruit colour, were also found on this consensus map thanks to linked markers. Here we report on the first functional detailed map in pepper. The use of candidate gene sequences as genetic markers allowed us to localize four clusters of disease-resistance gene analogues and to establish syntenic relationships with other 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".