QTL-specific microarray gene expression analysis of wheat resistance to Fusarium head blight in Sumai-3 and two susceptible NILs
Bibliographic record
Abstract
Fusarium head blight, predominantly caused by Fusarium graminearum (Schwabe) in North America, is a destructive disease that poses a serious threat to wheat (Triticum aestivum L.) production around the world. cDNA microarrays consisting of wheat ESTs derived from a wheat - F. graminearum interaction suppressive subtractive hybridization library were used to investigate QTL-specific differential gene expression between the resistant Chinese cultivar Sumai-3 and two susceptible near isogenic lines (NILs) following inoculation with F. graminearum. Stringent conditions were employed to reduce the false discovery rate. A total of 25 wheat unigenes were found to express differentially in response to F. graminearum infection. Genes encoding pathogenesis-related (PR) proteins such as beta-1,3-glucanase (PR-2), wheatwins (PR-4), and thaumatin-like proteins (PR-5) showed a significant upregulation in genotypes having the Sumai-3 3BS region. For these three genes, the gene activity was significantly less in the genotype (NIL-3) lacking the Sumai-3 3BS segment. Significant upregulation of phenylalanine ammonia-lyase was detected only in the resistant Sumai-3, indicating the importance of both the 2AL and 3BS regions in the activation of effective defense responses to infection by F. graminearum. Differences in gene expression between the resistant Sumai-3 and the susceptible NILs were found to be mainly quantitative in nature.
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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 | 0.002 |
| 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".