Regulation and Dynamics of Gene Expression During the Life Cycle of <i>Fusarium graminearum</i>
Bibliographic record
Abstract
Fungal pathogens survive harsh environments and overcome physical, temporal, and chemical barriers to colonize their hosts and reproduce. Fusarium graminearum was one of the first fungal plant pathogens for which transcriptomic tools were developed, making analysis of gene expression a cornerstone approach in studying its biology. The analysis of gene expression in diverse in vitro conditions and during infection of different cereal crops has revealed subsets of both unique and shared transcriptionally regulated genes. Together with genetic studies, these approaches have enhanced our understanding of the development and infection cycle of this economically important pathogen. Here, we will outline recent advances in transcriptional profiling during sporogenesis, spore germination, vegetative growth, and host infection. Several transcriptional regulators have been identified as essential components in these responses and the role of select transcription factors will be highlighted. Finally, we describe some of the gaps in our understanding of F. graminearum biology and how expression analysis could help to address these gaps.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".