Patterns of differential gene expression in <i>Brassica napus</i> cultivars infected with <i>Sclerotinia sclerotiorum</i>
Bibliographic record
Abstract
SUMMARY The fungal pathogen Sclerotinia sclerotiorum infects a broad range of dicotyledonous plant species and causes stem rot in Brassica napus. To elucidate the mechanisms underlying the defence response, the patterns of gene expression in the partially resistant B. napus cultivar ZhongYou 821 (ZY821) and the susceptible cultivar Westar were studied using a B. napus oligonucleotide microarray. Although maximum differential gene expression was observed at 48 h post-inoculation (hpi) in both cultivars, increased transcript levels were detected in cv. ZY821 at the earlier stages of infection (6-12 hpi) for many genes, including those encoding defence-associated proteins, such as chitinases, glucanases, osmotins and lectins, as well as genes encoding transcription factors belonging to the zinc finger, WRKY, APETALA2 (AP2) and MYB classes. In both cultivars, genes encoding enzymes involved in jasmonic acid, ethylene and auxin synthesis were induced, as were those for gibberellin degradation. In addition, changes in the expression of genes encoding enzymes involved in carbohydrate and energy metabolism appeared to be directed towards shuttling carbon reserves to the tricarboxylic acid cycle and generating reactive oxygen species. Transcripts from genes encoding enzymes involved in glucosinolate and phenylpropanoid biosynthesis were highly elevated in both cultivars, suggesting that secondary metabolites are also components of the response to S. sclerotiorum in B. napus.
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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 | 0.001 | 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 | 0.001 |
| 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".