<i>Plasmodiophora brassicae</i> CBM18 Proteins Bind Chitin and Suppress Chitin-Triggered Immunity
Bibliographic record
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 susceptible hosts into nutrient-sink galls suppressing pattern-triggered immunity (PTI) and effector-triggered immunity. Chitin, the main component of P. brassicae spore cell walls and a well-known pathogen-associated molecular pattern, can elicit PTI but is also the target of plant chitinases and chitin deacetylases. The fact that P. brassicae does not trigger PTI during infection of susceptible hosts motivated a genome-wide search of genes coding for secreted proteins with domains previously associated with chitin binding. We found that the P. brassicae genome encodes a repertoire of candidate-secreted effectors containing the chitin-binding domain carbohydrate-binding module family 18 (CBM18), chitinase, and chitin deacetylase domains. The role of these proteins in the pathogenicity of the clubroot pathogen is unknown. Here, we characterized two CBM18 proteins, PbChiB2 and PbChiB4, which are transcriptionally activated during infection. Through coprecipitation, we found that recombinant PbChiB2 and PbChiB4 bind to spores and to chitin oligomers. We also showed that both proteins suppress chitin-triggered activation of the map kinase proteins MPK3 and MPK6 in the host Brassica napus. These findings suggest that P. brassicae CBM18 proteins act as effectors for protecting the clubroot pathogen and for suppressing chitin-triggered immunity during infection. [Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".