The Epigenetics of a Cereal Killer: The Role of DNA Methylation in Pathogenicity and Development of Fusarium graminearum
Bibliographic record
Abstract
Epigenetics is an emerging field in the regulation of biological processes in fungi.This study examines the role of one such epigenetic mechanism, DNA methylation, in development and pathogenicity of the fungal phytopathogen Fusarium graminearum.Two DNA methyltransferase genes were identified, and disruption of these genes resulted in growth, reproduction and pathogenicity related phenotypes.Deletion mutants displayed changes in growth, and were impaired in their ability to produce ascospores and infect susceptible wheat.Secondary metabolism was also affected in these strains, including deoxynivalenol toxin production, pigmentation, and the expression of novel unknown metabolites.Bisulfite sequencing resulted in the first DNA methylome of any Fusarium species, and analysis indicated DNA methylation is present on ~0.1% of genomic cytosines, consistent with other related fungi.Methylation sites were identified in genic regions of genes related to a variety of cellular processes including development and pathogenicity.Altogether, our analysis shed light on the important epigenetic process of DNA methylation in a fungal plant pathogen.
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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) | 0.003 | 0.001 |
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".