Multiple non-ribosomal peptide synthetase genes determine peptaibol synthesis in<i>Trichoderma virens</i>
Bibliographic record
Abstract
Trichoderma virens, an imperfect fungus, is used as a biocontrol agent to suppress plant disease caused by soilborne fungal pathogens. Antimicrobial peptides it produces include peptaibols of 11, 14, and 18 amino acids in length. These peptaibols were previously reported to be synthesized by a non-ribosomal peptide synthetase (NRPS) encoded by the Tex1 gene in strain Tv29-8. The present study examined the Tex1 homolog in a commercially relevant T. virens strain, G20. Although the gene in G20 was 99% identical in DNA sequence to Tex1 in the 15.8 kb compared, gene disruption results indicate that it is only responsible for the production of an 18-mer peptaibol, and not 11-mer and 14-mer peptaibols. Additional NRPS adenylate domains were identified in T. virens and one was found to be part of a 5-module NRPS gene. Although the multimodule gene is not needed for peptaibol synthesis, sequence comparisons suggest that two of the individual adenylate domain clones might be part of a separate peptaibol synthesis NRPS gene. The results indicate a significant diversity of NRPS genes in T. virens that is unexpected from the literature.
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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".