Antisense expression of a ω-3 fatty acid desaturase gene in tobacco plants enhances susceptibility against pathogens
Bibliographic record
Abstract
Membrane lipids in higher plants contain a high proportion of trienoic fatty acids. ω-3 Fatty acid desaturases act on membrane lipids to catalyze the formation of trienoic acids. We isolated a wound-inducible Arabidopsis plastid ω-3 fatty acid desaturase (fad7) gene, and generated transgenic tobacco plants constitutively expressing the antisense fad7 RNA. Selected transgenic lines showed significant reductions in the content of trienoic fatty acids compared with control plants. The transgenic lines showed enhanced susceptibility against Tobacco mosaic virus infection, where necrotic lesions with brown halos developed much earlier and were larger in the transgenic lines than in control plants. After Tobacco mosaic virus infection, expression and protein accumulations of the wound-inducible protein kinase WIPK, as well as defense-response gene expressions such as lipoxygenase (lox) and defensin (pdf1.2), were retarded in the transgenic lines compared with control plants. Increased susceptibility of the transgenic lines was also demonstrated by infections with Pseudomonas syringae pv. tabaci (van Hall) Ash et al., which caused wildfire disease, and with a powdery mildew fungus (Erysiphe cichoracearum DC). These findings support the concept that trienoic fatty acids are involved in plant defense signaling.Key words: ω-3 fatty acid desaturase, linolenic acid, Nicotiana tabacum 'Xanthi', Pseudomonas syringae pv. tabaci, powdery mildew fungus, Tobacco mosaic virus.
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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) | 0.000 | 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) | 0.001 | 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 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".