Generation and mapping of SCAR and CAPS markers linked to the seed coat color gene in <i>Brassica napus</i> using a genome-walking technique
Bibliographic record
Abstract
The yellow seed coat trait in No. 2127-17, a resynthesized purely yellow Brassica napus line, is controlled by a single partially dominant gene, Y. A double-haploid population derived from the F1 of No. 2127-17 x 'ZY821' was used to map the seed coat color phenotype. A combination of AFLP analysis and bulked segregant analysis identified 18 AFLP markers linked to the seed coat color trait. The 18 AFLP markers were mapped to a chromosomal region of 37.0 cM with an average of 2.0 cM between adjacent markers. Two markers, AFLP-K and AFLP-H, bracketed the Y locus in an interval of 1.0 cM, such that each was 0.5 cM away from the Y locus. Two other markers, AFLP-A and AFLP-B, co-segregated with the seed color gene. For ease of use in breeding programs, these 4 most tightly linked AFLP markers were converted into reliable PCR-based markers. SCAR-K, which was derived from AFLP-K, was assigned to linkage group 9 (N9) of a B. napus reference map consisting of 150 commonly used SSR (simple sequence repeat) markers. Furthermore, 2 SSR markers (Na14-E08 and Na10-B07) linked to SCAR-K on the reference map were reversely mapped to the linkage map constructed in this study, and also showed linkage to the Y locus. These linked markers would be useful for the transfer of the dominant allele Y from No. 2127-17 to elite cultivars using a marker-assisted selection strategy and would accelerate the cloning of the seed coat color gene.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".