Overexpression of <i>Brassica napus Myrosinase-Associated Protein 1</i> improved <i>Sclerotinia</i> tolerance in <i>Arabidopsis</i>
Bibliographic record
Abstract
Canola (Brassica napus L.) productivity is severely affected by various biotic and abiotic stresses such as insects, pathogens, drought, and cold. Characterization of genes with specific effects on particular stress responses is one of the long-term goals for B. napus genetic improvement. Here we explored the roles of Brassica napus myrosinase-associated protein 1 (BnMyAP1), which was highly represented (expressed) in a B. napus subtractive library developed after leaf damage by the crucifer flea beetle [Phyllotreta cruciferae (Goeze)]. Expression of BnMyAP1 was under different developmental control in B. napus, but it was co-induced in B. napus by flea beetle feeding, Sclerotinia sclerotiorum (Lib.) de Bary infection, drought, and cold. A total of 20 BnMyAPs were represented in different B. napus stress and development expressed sequence tag libraries and indicated larger, more diversified families than were previously known. Overexpression of BnMyAP1 in Arabidopsis thaliana (L.) Heynh. resulted in an increased survival ratio (63%–90%) compared with that of the controls (15%–20%) after S. sclerotiorum infection, which suggests that BnMyAP1 could be used to protect B. napus oilseed and vegetables from the S. sclerotiorum disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".