<scp>BnTX1</scp> – <i>BnNCED3</i> interaction contributes to the <scp>ABA</scp> biosynthesis response in the <i>Brassica napus</i> – <i>Leptosphaeria maculans</i> pathosystem
Bibliographic record
Abstract
Abstract Abscisic acid (ABA) plays multiple and pivotal roles in plant defence against abiotic and biotic stresses. Blackleg, mainly caused by the fungal pathogen Leptosphaeria maculans , is one of the most devastating diseases in canola ( Brassica napus ) resulting in significant yield loss worldwide. Few studies have investigated the function of ABA biosynthesis genes in response to fungal pathogens. In this study, we identified and characterized BnNCED3 (9‐ cis ‐epoxycarotenoid dioxygenease) and BnTX1 (trithorax‐like factor) from B . napus . Transgenic B . napus ‘Westar’ plants overexpressing BnNCED3 showed enhanced adult plant resistance to blackleg infection. Chromatin immunoprecipitation‐quantitative PCR demonstrated that BnTX1 bound to the promoter region of the BnNCED3 gene. However, the overexpression of BnTX1 in transgenic plants decreased adult plant resistance to blackleg pathogen infection. The expression analysis confirmed the abundance of BnNCED3 transcripts was higher in BnTX1 ‐RNAi knockdown plants than in overexpressing plants. Thus, BnTX1 might play a negative role in regulating BnNCED3 gene expression and hence ABA biosynthesis, thereby affecting plant disease resistance. Our study provides a new model demonstrating how increased ABA levels can enhance plant disease resistance, which may lead to the characterization of minor/quantitative genes in the B . napus–L . maculans interaction.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".