Strain improvement of <i>Trichoderma</i> spp. through two-step protoplast fusion for cellulase production enhancement
Bibliographic record
Abstract
Fungal protoplast fusion is an approach to introduce novel characteristics into industrially important strains. Cellulases, essential enzymes with a wide range of biotechnological applications, are produced by many species of the filamentous fungi Trichoderma. In this study, a collection of 60 natural isolates were screened for Avicel and carboxymethyl cellulose degradation, and two cellulase producers of Trichoderma virens and Trichoderma harzianum were used for protoplast fusion. One of the resulting hybrids with improved cellulase activity, C1-3, was fused with the hyperproducer Trichoderma reesei Rut-C30. A new selected hybrid, F7, was increased in cellulase activity 1.8 and 5 times in comparison with Rut-C30 and C1-3, respectively. The increases in enzyme activity correlated with an upregulation of the cellulolytic genes cbh1, cbh2, egl3, and bgl1 in the parents. The amount of mRNA of cbh1 and cbh2 in F7 resembled that of Rut-C30 while the bgl1 mRNA level was similar to that of C1-3. AFLP (amplified fragment length polymorphism) fingerprinting and GC–MS (gas chromatography – mass spectrometry) analysis represented variations in parental strains and fusants. In conclusion, the results demonstrate that a 3-interspecific hybrid strain was isolated, with improved characteristics for cellulase degradation and showing genetic polymorphisms and differences in the volatile profile, suggesting reorganizations at the genetic level.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".