Differential transcriptome analyses of three wheat genotypes reveal different host response pathways associated with Fusarium head blight and trichothecene resistance
Bibliographic record
Abstract
Fusarium head blight is a disease of cereal crops caused by a group of trichothecene‐producing Fusarium species. In the current study, three wheat genotypes with cv. Superb pedigree were evaluated for their ability to activate different defence‐response pathways when exposed to one of three elicitors: (i) trichothecene‐producing and (ii) non‐producing F. graminearum strains, and (iii) the trichothecene toxin deoxynivalenol. Spikelets distal to the inoculation point were harvested at multiple time points in order to identify systemic temporal changes in transcript accumulation associated with resistance. Distinct differences were observed between the resistant genotypes and cv. Superb, as well as between the two resistant genotypes. The current data suggest that different molecular mechanisms exist not only between susceptibility and resistance responses, but between different forms of genetic resistance. It is proposed that Type 1 resistance in one of the resistant double haploid lines evaluated here involves a combination of structural features that slow fungal penetration and activation of a systemic response in uninfected tissues adjacent to the site of infection to prevent or minimize secondary infection; in contrast, Type 2 resistance is more likely a form of local resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".