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 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".