<i>Plasmodiophora brassicae</i> chitin-binding effectors guard and mask spores during infection
Bibliographic record
Abstract
ABSTRACT Plants have a sophisticated and multilayered immune system. However, plant pathogens, helped by effector proteins, have found several strategies to evade plant immunity. For instance, the clubroot pathogen, Plasmodiophora brassicae, is able to turn the roots of the susceptible hosts into nutrient-sink galls surpassing patterns-triggered immunity (PTI) and effector-triggered immunity (ETI). Chitin, the main component of P. brassicae spores cell walls and a well-known pathogens-associated molecular pattern (PAMP), can elicit PTI but is also the target of plant chitinases and chitin deacetylases. The fact that P. brassicae does not trigger PTI during the infection of the susceptible hosts motivated a genome-wide search of genes coding for secreted chitin-related proteins. We found that P. brassicae genome encodes a large repertoire of candidate-secreted effectors containing the chitin-binding domain carbohydrate-binding module family 18 (CBM18), along with chitinases and chitin deacetylases domains. The role of such proteins in the pathogenicity of the clubroot pathogen is unknown. Here, we characterized the function of two effectors, Pb ChiB2 and Pb ChiB4, which are transcriptionally activated during the spores transition to uninucleate primary plasmodium and during the spore formation. Through co-precipitation, we found that recombinant Pb ChiB2 and Pb ChiB4 bind to the spores and to chitin oligomers in vitro . We also showed that both proteins suppress chitin-triggered activation of the immune MPK3 and MPK6 in the host Brassica napus . These findings suggest a dual role for the P. brassicae CBM18 proteins as effectors for protecting zoospores and resting spores formation and for suppressing chitin-triggered immunity during the infection.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".