Differentially expressed genes in canola ( <i>Brassica napus</i> ) during infection by virulent and avirulent <i>Plasmodiophora brassicae</i> pathotypes
Bibliographic record
Abstract
Abstract Gene expression profiling offers a means of understanding pathogenesis in clubroot of crucifers caused by the biotrophic pathogen Plasmodiophora brassicae . In this study, a canola ( Brassica napus ) cultivar 45H29 was inoculated with P . brassicae pathotypes 5I (P5I) and 5X (P5X), and the pathogen:plant DNA biomass ratio in roots was determined at 7, 14, and 21 days after inoculation (dai) by quantitative PCR (qPCR) analysis. The P5X:plant biomass ratio increased across the time course, while the P5I:plant biomass ratio decreased. To investigate genes differentially expressed during the infection process, the expression of 205 P . brassicae genes encoding putative secreted proteins was analysed from the inoculated samples at 14 dai. One of the 205 genes was expressed at a higher level in P5X than in P5I, while 15 genes were expressed at a higher level in P5I than in P5X. Of these 16, 13 genes encoded proteins with high cysteine content, while three genes encoded proteins with an RXLR motif. The expression of the 16 genes was analysed further in the 7‐ and 21‐dai samples. No transcripts of the 16 genes were detected from either pathotype at 7 dai. In contrast, 11 genes were differentially expressed between the two pathotypes at 21 dai, with nine being more highly expressed in P5X and two in P5I. One gene showed homology to PbSUNK2 found in P . brassicae ‐infected Arabidopsis thaliana root tissues. These 16 genes may offer important information to improve the current understanding of canola– P . brassicae interactions.
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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".