Metabolism of the crucifer phytoalexins wasalexin A and B in the plant pathogenic fungus Leptosphaeria maculans
Bibliographic record
Abstract
Wasalexins A and B are crucifer phytoalexins produced by two substantially different plant species, a wild species abundant in the Canadian prairies and a condiment plant widely cultivated in Japan. Interestingly, both plant species are resistant to an economically important fungal plant pathogen, the blackleg fungus [Leptosphaeria maculans (Desm.) Ces. et de Not., asexual stage Phoma lingam (Tode ex Fr.) Desm.]. The transformation of wasalexins A and B in cultures of isolates of L. maculans, an isolate highly virulent towards canola (BJ 125) and a less common isolate which is virulent towards wasabi (Laird 2/Mayfair 2) was investigated. It was established that both fungal isolates are able to efficiently metabolize and detoxify wasalexins A and B through reduction in the case of wasalexin A or through hydrolysis followed by reduction in the case of wasalexin B. Moreover, a close structural analogue of wasalexins, which does not occur naturally, was also found to be reduced in cultures of L. maculans. The structures of the new metabolic products were elucidated using spectroscopic methods and were confirmed by synthesis. Bioassays indicated that the biotransformation of wasalexins is a detoxification process that may contribute to the aggressive nature of these fungal isolates towards plants that produce wasalexins.
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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".