Functional genes associated with the occurrence of mycotoxins produced by Aspergillus in foods
Bibliographic record
Abstract
• This review provides a comprehensive summary of the genes involved in aflatoxin biosynthesis and constructs the regulatory network governing toxin production, offering new insights for the development of aflatoxin control strategies. • It also systematically summarizes the functions of key genes regulating the growth and development of Aspergillus species, thereby laying a theoretical foundation for the development of source-level control technologies against Aspergillus . Aspergillus species are ubiquitous fungi that produce mycotoxins (secondary metabolites) known as sterigmatocystin and aflatoxins in many different kinds of foods, which leads to serious contamination in agricultural products, thereby endangering human health. Extensive studies on Aspergillus fungi have been conducted on growth and development, aflatoxin biosynthesis, and their interactions with environment. Here, we summarized a series of functional genes of the main Aspergillus fungi relative to toxins occurrence in foods, which revealed the signal transduction mechanisms of their involvement in growth and development, toxin production, and response to light, anticipating providing theoretical guidance on developing control and prevention technologies for mycotoxin contamination in agricultural products to ensure food safety.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.001 |
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".