Construction of a molecular marker linkage map and its use for QTL analysis of erucic acid content in {\sl Brassica napus} L.
Bibliographic record
Abstract
Erucic acid is not easily absorbed and therefore is nutritionally undesirable as the long carbon-chain fatty acid in the edible oil derived from Brassica napus. Hence, decreasing erucic acid content is one of the important objectives in double-low (low in erucic acid and low in glucosinolates) breeding program. A monogene controlling erucic acid was found in a doubled haploid (DH) population derived from a cross between a Canadian cultivar Quantum (yellow flower and low erucic acid content) and a resynthesized B. napus line No.2127-17 (white flower and high erucic acid content). In order to identify molecular markers tagging the gene controlling erucic acid, a B. napus linkage map was constructed using the 121 DH lines of the above DH population. A total of 207 markers were detected that comprised 102 random amplified polymorphic DNA (RAPD) markers, 103 simple sequence repeat (SSR) markers and one morphological marker, i.e. the flower colour and erucic acid. One hundred eighty-eight markers were assembled into 19 main linkage groups (LG1－LG19) and a minor group (A). No linkage was found between the remaining 19 markers and any of the established linkage groups. The total map length is 1 183.3 cM with an average distance of 6.3 cM between adjacent markers. The marker loci with distorted segregation (P<0.01) accounted for 20.8% and tended to cluster in six linkage groups. The major gene for erucic acid was mapped on LG13, flanked by a co-dominant SSR marker TPS039 and a dominant RAPD marker BS164a at genetic distances of 2.2 cM and 17.1 cM, respectively. When QTL mapping was performed using the method of interval mapping, only the major gene (major QTL) was detected. The major QTL explained about 82% of the total phenotypic variation. Compared with a B. napus linkage map constructed based on a cross between N-0-9 and SYN1 in Brassica DB (http://www.ukcrop.net) using some common SSR markers, it was revealed that chromosomal rearrangements might have occurred on LG13.
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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 | 0.000 |
| 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".