Regulation of three genes encoding cell-wall-degrading enzymes of<i>Trichoderma aggressivum</i>during interaction with<i>Agaricus bisporus</i>
Bibliographic record
Abstract
Members of the genus Trichoderma are very effective competitors of a variety of fungi. Cell-wall-degrading enzymes, including proteinases, glucanases, and chitinases, are commonly secreted as part of the competitive process. Trichoderma aggressivum is the causative agent of green mould disease of the button mushroom, Agaricus bisporus. The structures of 3 T. aggressivum genes, prb1 encoding a proteinase, ech42 encoding an endochitinase, and a β-glucanase gene, were determined. Promoter elements in the prb1 and ech42 genes suggested that transcription is regulated by carbon and nitrogen levels and by stress. Both genes had mycoparasitism-related elements indicating potential roles for the protein products in competition. The promoter of the β-glucanase gene contained CreA and AreA binding sites indicative of catabolite regulation but contained no mycoparasitism elements. Transcription of the 3 genes was measured in mixed cultures of T. aggressivum and A. bisporus. Two A. bisporus strains, U1, which is sensitive to green mould disease, and SB65, which shows some resistance, were used in co-cultivation tests to assess possible roles of the genes in disease production and severity. prb1 and ech42 were coordinately upregulated after 5 days, whereas β-glucanase transcription was upregulated from day 0 with both Agaricus strains. Upregulation was much less pronounced in mixed cultures of T. aggressivum with the resistant strain, SB65, than with the sensitive strain, U1. These observations suggested that the proteins encoded by these genes have roles in both nutrition and in severity of green mould disease.
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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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".