The phosphoproteome of <i>Fusarium graminearum</i> at the onset of nitrogen starvation
Bibliographic record
Abstract
Fusarium graminearum grown under stress, such as nutrient deprivation, activates, among others, the trichothecene pathway that produces the mycotoxin deoxynivalenol and its derivatives. The kinase inhibitor staurosporine reduced the production of trichothecenes by 39% compared with control in vitro. On the other hand, phosphatase inhibitor okadaic acid increased the amount by 72% compared with the control in vitro. This suggests that phosphorylation events are involved in the signalling pathway, leading to the activation of the trichothecene pathway. Three approaches were used to study the phosphoproteome of F. graminearum under nitrogen-limiting conditions: 2-DE (2-DE: IEFxSDS-PAGE) in combination with MS protein identification; SDS-PAGE in combination with off-line IMAC and TiO(2) enrichment and gel electrophoresis LC-MS analysis; and a gel-free approach using strong anion exchange chromatography, IMAC and LC-MS. A total of 348 phosphorylation sites localized in 301 peptides from 241 proteins were identified. By 2-DE, 20 phosphoproteins were identified, nine of which underwent changes during the time course examined. Using gel electrophoresis LC-MS 231 phosphopeptides were identified from three samples (ten gel slices each) at time points of nitrogen starvation t=0, 6, and 12 h. The gel-free analysis added 70 peptides from 65 proteins to the total. Proteins of unknown function and enzymes of known function comprised the largest groups overall. Ten protein kinases and seven transcription factors were identified. This is the first reported phosphoproteome of F. graminearum.
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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 | 0.001 |
| 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".