Metal ion enhancement of fungal growth, gene expression and aflatoxin synthesis in Aspergillus flavus: RT-PCR characterization
Bibliographic record
Abstract
AIMS: To determine the effect of mineral ions (e.g., Zn2+, Cu2+, and Fe2+) on the enhancement of fungal growth, total RNA, aflatoxin pathway gene expression, and production of aflatoxin and its precursor O-methylsterigmatocystin (OMST). METHODS AND RESULTS: The influence of the metal ions, as a single or mixed treatments, was observed in submerged cultures of toxigenic Aspergillus flavus through changes in the fungal RNA or aflatoxin pathway gene (omtA) by reverse transcription-polymerase chain reaction (RT-PCR) levels, and also in fungal dry-weight accumulation, aflatoxin and OMST production. CONCLUSIONS: The ion treatments induced changes of fungal total RNA, mRNA levels, associate fungal growth, biosynthesis of aflatoxin and OMST, and enhanced expression of RT-PCR. SIGNIFICANCE AND IMPACT OF STUDY: Demonstrates at the cellular and molecular level, the significant effects of metal ions on both fungal growth and production of aflatoxin.
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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) | 0.001 | 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".