Proteome-Level Investigation of <i>Brassica carinata</i>-Derived Resistance to <i>Leptosphaeria maculans</i>
Bibliographic record
Abstract
Plants resistant to the fungal pathogen Leptosphaeria maculans were generated by an interspecific cross between the highly susceptible Brassica napus (canola) and the highly resistant Brassica carinata. Changes in the leaf protein profiles of these lines were investigated in order to understand the biochemical basis for the observed resistance. Two-dimensional electrophoresis followed by tandem mass spectrometry led to the identification of proteins unique to the susceptible (5 proteins) and resistant genotypes (7 proteins) as well those that were differentially expressed in the resistant genotype 48 h after challenge with the pathogen (28 proteins). Proteins identified as being unique in the resistant plant material included superoxide dismutase, nitrate reductase, and carbonic anhydrase. Photosynthetic enzymes (fructose bisphosphate aldolase, triose phosphate isomerase, sedoheptulose bisphosphatase), dehydroascorbate reductase, peroxiredoxin, malate dehydrogenase, glutamine synthetase, N-glyceraldehyde-2-phosphotransferase, and peptidyl-prolyl cis-trans isomerase were observed to be elevated in the resistant genotype upon pathogen challenge. Increased levels of the antioxidant enzyme superoxide dismutase were further validated and supported by spectrophotometric and in-gel activity assays. Other proteins identified in this study such as nitrate reductase and peptidylprolyl isomerase have not been previously described in this plant-pathogen system, and their potential involvement in an incompatible interaction is discussed.
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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) | 0.000 | 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".