Map kinase MGV1: a potential shared control point of butenolide and deoxynivalenol biosynthesis In Fusarium graminearum
Bibliographic record
Abstract
The mitogen-activated protein kinase (MAPK) MGV1 has been knocked out in Fusarium graminearum to produce the mutant Fg∆MGV1.The mutant displays complementary phenotypes concerning deoxynivalenol (DON) and butenolide (BT) biosynthesis in vitro.In the rich medium 15-ADON accumulates are at low levels as detected by HPLC, whereas the accumulation of BT is substantial in Fg∆MGV1.This is supported by the high expression of butenolide cluster genes in the mutant compared to the wild-type strain.Under nutrient-limiting conditions, where DON biosynthesis is normally favoured, the expression of genes of the trichothecene cluster does not differ between the two strains.However, the accumulation of 15-ADON is vastly different in Fg∆MGV1.There is a reduction of 15-ADON accumulation with a concomitant accumulation of a novel compound.Although gene clusters comprising the synthesis of DON and BT have been identified, their regulation at the molecular level has not been fully elucidated.Since the expression levels of two regulatory genes from the trichothecene gene cluster and three regulatory genes from the butenolide gene cluster remained unchanged between WT and Fg∆MGV1, we suggest that differential accumulation of both BT and DON biosynthesis is at least partially under post-transcriptional and/or post-translational control.
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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) | 0.000 | 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".