Influence of carbon source on growth and mycotoxin production by isolates of Pyrenophora tritici-repentis from wheat
Bibliographic record
Abstract
The fungus Pyrenophora tritici-repentis can infect wheat kernels, causing red smudge, and has been shown to produce the anthraquinone mycotoxins emodin, catenarin, and islandicin. The growth of 8 fungal isolates from diverse regions was evaluated on various culture media and was found to be generally slowest on the semisynthetic Fries medium. The choice of carbon source had a significant effect on mycotoxin production, as assessed by high-performance liquid chromatography. The highest emodin concentration (194.18 ± 16.26 µg/g medium) was observed for isolate Alg 3-24 on Fries medium supplemented with fructose, while the highest catenarin concentration (302.54 ±13.92 µg/g medium) was observed for TS93-71B on Fries medium supplemented with starch. Islandicin was not produced by any isolate under the conditions tested. Evaluation of the dynamics of mycotoxin production by isolate 331-2 on V8-potato dextrose agar medium revealed a rapid accumulation of emodin and catenarin during the first week of incubation, followed by a large decline by 14 days. Differences in the growth of and mycotoxin production by isolates of P. tritici-repentis likely resulted from the differential composition of the media and (or) intraspecies variability. Accordingly, the optimization of growth medium should be considered when evaluating the potential of specific isolates for mycotoxin production.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".