Patterns of defence gene expression in the tomato–<i>Verticillium</i>interaction
Bibliographic record
Abstract
In a tomato plant infected by Verticillium dahliae , race 1, compatibility or incompatibility appears to be determined in the stem, but little is known about the genes that either regulate or effect critical cellular events. In the present study, microarray and RT-PCR analyses were used to assess changes in tomato mRNA populations during both interactions. Initially, a commercially available DNA chip was used to screen gene expression at a single critical time point after inoculation of resistant and susceptible plants. From the results, the most-affected genes were selected to develop a tomato Verticillium response (TVR) DNA chip for detailed analyses of gene expression for 15 d after inoculation. Taken together, over half of the genes on the TVR array exhibited one of three distinct patterns of change, one reflecting a resistant phenotype and two being consistent with a susceptible phenotype. Of particular interest was a cluster of strongly expressed genes belonging to groups 2 and 3 that appeared to be co-ordinately down regulated in infected resistant plants relative to susceptible. Many of these genes encode pathogenesis related (PR) proteins. The data demonstrate that even though complex, the biological system can be standardized sufficiently to allow the reproducible analysis of gene expression in a whole plant system and provide patterns of transcriptional variation that can be used to assess the significance of specific genes in pathogenesis and resistance.
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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".