Host-preferential Fusarium graminearum gene expression during infection of wheat, barley, and maize
Bibliographic record
Abstract
Fusarium graminearum is a broad host pathogen threatening cereal crops in temperate regions around the world. To better understand how F. graminearum adapts to different hosts, we have performed a comparison of the transcriptome of a single strain of F. graminearum during early infection (up to 4 d post-inoculation) of barley, maize, and wheat using custom oligomer microarrays. Our results showed high similarity between F. graminearum transcriptomes in infected wheat and barley spike tissues. Quantitative RT-PCR was used to validate the gene expression profiles of 24 genes. Host-specific expression of genes was observed in each of the three hosts. This included expression of distinct sets of genes associated with transport and secondary metabolism in each of the three crops, as well as host-specific patterns for particular gene categories such as sugar transporters, integral membrane protein PTH11-like proteins, and chitinases. This study identified 69 F. graminearum genes as preferentially expressed in developing maize kernels relative to wheat and barley spikes. These host-specific differences showcase the genomic flexibility of F. graminearum to adapt to a range of hosts.
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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".