Proteomic analysis of the inhibitory effect of the butanolic fraction of <i>Jacquinia macrocarpa</i> on <i>Fusarium verticillioides</i>
Bibliographic record
Abstract
Jacquinia macrocarpa, a plant native to northwestern Mexico, has an inhibitory effect against phytopathogenic fungi. Previous studies have shown that the butanolic extract of J. macrocarpa causes retardation and atrophy in mycelial growth of Fusarium verticillioides. However, the action mechanism of this extract is unknown. We used a proteomics approach to understand the inhibitory effect of J. macrocarpa butanolic extract, based on differential protein accumulation in F. verticillioides. Proteins were extracted from F. verticillioides cultured in Czapek broth with and without 202.12 μg/mL (IC50) of butanolic extract of J. macrocarpa. Thirty-eight protein spots showing statistically significant changes (ANOVA, p < 0.01) and at least a 2-fold change in abundance between experimental conditions were analyzed by mass spectrometry. Identified proteins were grouped into different biological processes according to Gene Ontology, among them were amino acid metabolism, protein folding and stabilization, protein degradation, protein transport, carbohydrate metabolism, oxidative stress response, and miscellaneous. This work is the first report of changes in the proteomic profile of F. verticillioides exposed to the J. macrocarpa extract. This information provides new insights into the inhibitory mechanism of the extract and represents a starting point for dissection of the fungal response against the J. macrocarpa extract components.
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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".