Proteomic analysis of<i>Trichoderma atroviride</i>mycelia stressed by organophosphate pesticide dichlorvos
Bibliographic record
Abstract
The proteomic approach is a powerful tool to study microbial response to environmental stress. To evaluate the responses of Trichoderma spp. to the organophosphate pesticide dichlorvos, mycelia of Trichoderma atroviride T23 were exposed to dichlorvos at concentrations of 0, 100, 300, 500, and 1000 microg/mL, respectively. Changes in protein expression were investigated using two-dimensional sodium dodecyl sulfate - polyacrylamide gel electrophoresis. Sixteen protein spots were differentially expressed. They were identified by MALDI-TOF/TOF MS and were found to be linked to energy metabolism, transport, signal transduction, and stress tolerance. Among stress-related proteins, glutathione peroxidase-like protein (GPX), 1,4-benzoquinone reductase, and HEX1 were upregulated by and cyclophilin A induced by 1000 microg/mL dichlorvos when compared with the control. These proteins were considered to be associated with fungal adaptation to adverse conditions. The results will help us to understand molecular mechanisms through which Trichoderma responds to organophosphate pesticides.
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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) | 0.000 | 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".