Differential protein expression in response to the phytoalexin brassinin allows the identification of molecular targets in the phytopathogenic fungus <i>Alternaria brassicicola</i>
Bibliographic record
Abstract
The effects of the cruciferous phytoalexin brassinin on the protein expression patterns of the phytopathogenic fungus Alternaria brassicicola were investigated. Cell-free protein extracts of mycelia of A. brassicicola induced with brassinin at 0.50 and 0.10 mm were fractionated, and the proteins in soluble fractions were separated by two-dimensional electrophoresis. Spots corresponding to differentially expressed proteins were digested and analysed by liquid chromatography-electrospray ionization-mass spectrometry. The number of differentially expressed proteins was significantly higher in mycelia treated with brassinin at 0.50 mm (96 protein spots) than in mycelia treated with brassinin at 0.10 mm (18 protein spots). The majority of differentially expressed proteins included proteins involved in metabolism, processing, synthesis and several heat shock proteins (HSPs). Brassinin concentrations below 0.30 mm induced HSP90, a protein involved in the regulation of morphogenetic signalling in fungi, suggesting that 0.30 mm is a minimal concentration of brassinin necessary for the protection of brassicas against A. brassicicola. These results reveal that HSP90 is a potential target for inhibition in stressed A. brassicicola and confirm that brassinin has strong detrimental effects on A. brassicicola, suggesting that its detoxification by the fungus suppresses an important defence layer of the plant.
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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".