Transcriptome analysis of Brassica napus near-isogenic lines carrying clubroot resistance from turnip (B. rapa var. rapifera)
Bibliographic record
Abstract
Understanding the intricate molecular interplay between Brassica hosts and the pathogen Plasmodiophora brassicae, causative agent of clubroot disease, is pivotal for devising effective resistance to this disease in Brassica crops. While existing transcriptomic studies have elucidated the host responses to pathogen infection, a comprehensive analysis employing near-isogenic lines (NILs) remains imperative for better understanding of the resistance mechanisms. In this study, we conducted a comparative transcriptome profiling utilizing clubroot-susceptible (CS-NILs) and clubroot-resistant (CR-NILs) near-isogenic Brassica napus lines, carrying the clubroot resistance of turnip (B. rapa var. rapifera), at 7 and 14 days after inoculation. We observed the upregulation of the genes governing phytohormone signaling, receptor kinases, transcription factors, calcium fluxes, and glucosinolate metabolism in the CR-NILs. In addition, the novel differentially expressed genes (DEGs) pertaining to jasmonic acid, calcium signaling, receptor kinases, and glucosinolate biosynthesis were also observed to be differentially expressed. Based on our results, we propose a comprehensive model delineating the molecular events potentially contributing to clubroot resistance in B. napus CR-NILs. Our findings have contributed to an enhanced understanding of the potential mechanisms involved in clubroot resistance which may have utility in targeted breeding initiatives to mitigate the threat of clubroot disease in Brassica crops including canola.
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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".