Development of a high density integrated reference genetic linkage map for the multinational Brassica rapa Genome Sequencing ProjectThis article is one of a selection of papers from the conference “Exploiting Genome-wide Association in Oilseed Brassicas: a model for genetic improvement of major OECD crops for sustainable farming”.
Bibliographic record
Abstract
We constructed a high-density Brassica rapa integrated linkage map by combining a reference genetic map of 78 doubled haploid lines derived from Chiifu-401-42 × Kenshin (CKDH) and a new map of 190 F2 lines derived from Chiifu-401-42 × rapid cycling B. rapa (CRF2). The integrated map contains 1017 markers and covers 1262.0 cM of the B. rapa genome, with an average interlocus distance of 1.24 cM. High similarity of marker order and position was observed among the linkage groups of the maps with few short-distance inversions. In total, 155 simple sequence repeat (SSR) markers, anchored to 102 new bacterial artificial chromosomes (BACs) and 146 intron polymorphic (IP) markers were mapped in the integrated map, which would be helpful to align the sequenced BACs in the ongoing multinational Brassica rapa Genome Sequencing Project (BrGSP). Further, comparison of the B. rapa consensus map with the 10 B. juncea A-genome linkage groups by using 98 common IP markers showed high-degree colinearity between the A-genome linkage groups, except for few markers showing inversion or translocation. Suggesting that chromosomes are highly conserved between these Brassica species, although they evolved independently after divergence. The sequence information coming out of BrGSP would be useful for B. juncea breeding. and the identified Arabidopsis chromosomal blocks and known quantitative trait loci (QTL) information of B. juncea could be applied to improve other Brassica crops including B. rapa.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".