Trichothecene and zearalenone production, in culture, by isolates of <i>Fusarium pseudograminearum</i> from western Canada
Bibliographic record
Abstract
One hundred and twenty-seven isolates of Fusarium pseudograminearum were obtained from seeds and vegetative parts of cereals and other gramineae grown in western Canada. Culture of the isolates on agar selective for Fusarium graminearum allowed a successful differentiation from F. graminearum. Sterilized rice (40% moisture content) was inoculated with a single germinated spore of isolates identified as F. pseudograminearum and was incubated at 23 °C. After 14 days of incubation, mycelium was taken from each culture, and the DNA was extracted to detect the tri5 gene by polymerase chain reaction analysis and confirm the species identity. After 21 days of incubation, mycotoxins were quantified in dried rice. All isolates contained the tri5 gene. Deoxynivalenol (DON) was produced in 125 of the 127 isolates, 3-acetyldeoxynivalenol (3-ADON) in 122 isolates, 15-acetyldeoxynivalenol (15-ADON) in 2 isolates, diacetoxyscirpenol (DAS) in 17 isolates, and zearalenone in 100 isolates; both nivalenol (NIV) and fusarenon X (FX) were detected in 1 isolate. There appears to be three chemotypes: DON–3-ADON, DON–15-ADON, and NIV. Neither of the two 15-ADON producers or the NIV producer formed DAS. This is the first time that the production of DAS and FX is associated with F. pseudograminearum. None of the isolates produced HT-2 toxin or T-2 toxin at detectable levels.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".