Characterization of Receptor Kinases and Downstream Signalling Components Involved in Fusarium Head Blight Resistance
Bibliographic record
Abstract
Fusarium Head Blight (FHB) is a devastating disease that affects wheat, barley and other small grain crops.Despite huge economic losses, current measures have not yielded desirable resistance to FHB.Resistance to F. graminearum is quantitative and thus identification of putative transmembrane receptors and signalling components involved in plant immunity will help combat this disease.A reverse genetic screen using 249 T-DNA Arabidopsis mutant plants identified two putative leucine-rich transmembrane localized receptors, RLK7 and APEX and a downstream signalling component, RbohF as contributors to FHB resistance.The expression analysis suggested that RLK7 and APEX activated distinct hormone signalling pathways, ethylene and salicylic acid, to mediate the resistance.Our analyses indicated that as an intracellular signalling component, RbohF integrates signals from these hormone signalling pathways to regulate stomatal pore closures, a potential entry point for the pathogen.Overall, our findings identified key genes involved in mediating quantitative resistance to F. graminearum.
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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) | 0.002 | 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".