Metabolite diversity in the plant pathogen <i>Alternaria brassicicola</i> : factors affecting production of brassicicolin A, depudecin, phomapyrone A and other metabolites
Bibliographic record
Abstract
A systematic investigation of the metabolites of Alternaria brassicicola produced under various culture conditions is reported. The phytotoxin brassicicolin A is produced in significantly larger amounts in potato dextrose broth than in minimal medium cultures. In general an increase in the incubation temperature of cultures 23-30 C increases the production of brassicicolin A but decreases depudecin production. Reducing or eliminating nitrate from culture media or adding ammonium chloride increases the production of brassicicolin A at 30 C, depudecin at 23 C and α-acetylorcinol at either temperature, suggesting that nitrogen represses their biosynthesis. Siderophores are detected in cultures of A. brassicicola containing low and high ferric ion concentrations. The metabolites α-acetylorcinol and tyrosol are isolated for the first time from cultures of A. brassicicola, and α-acetylorcinol is synthesized in four steps and 36% overall yield. Only brassicicolin A and no other isolated metabolites, including depudecin and phomapyrone A, display phytotoxicity on leaves of Brassica species (up to 5.0 mM). Epigenetic modifiers, 5-azacitidin (5-AZA), suberoylanilide hydroxamic acid (SAHA) and suberoyl bis-hydroxamic acid (SBHA) do not affect the metabolite profiles of liquid cultures of this fungal pathogen.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".