A nitrogen-responsive gene affects virulence in<i>Fusarium graminearum</i>
Bibliographic record
Abstract
Emerging models indicate that nitrogen availability is an important environmental cue for the induction of virulence in pathogenic fungi. This study explored gene expression patterns of the nitrogen-responsive gene FGSG_03881 and its role in virulence and toxin production in Fusarium graminearum. Using transcriptional fusion pFGSG_03881::GFP, we showed that FGSG_03881 exhibits differential expression profiles in 22 different nitrogen compounds. Since the growth patterns of the fungus also change under these conditions, a mathematical equation was derived to normalize the growth with the expression of FGSG_03881. We determined that expression of FGSG_03881 increased in the non-preferred sources of nitrogen, and decreased in the preferred nitrogen sources like glutamine. Additionally, we determined that this gene is neither linked to the biosynthesis of the mycotoxin DON nor regulated by the global regulator Tri6. Disruption of FGSG_03881 also resulted in increased infection and disease symptoms on wheat. Cumulatively, we suggest that FGSG_03881 is responsive to nitrogen availability and affects virulence in 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 | 0.000 |
| 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".