An E4 Ligase Facilitates Polyubiquitination of Plant Immune Receptor Resistance Proteins in <i>Arabidopsis</i>
Bibliographic record
Abstract
Proteins with nucleotide binding and leucine-rich repeat domains (NLRs) serve as immune receptors in animals and plants that recognize pathogens and activate downstream defense responses. As high accumulation of NLRs can result in unwarranted autoimmune responses, their cellular concentrations must be tightly regulated. However, the molecular mechanisms of this process are poorly detailed. The F-box protein Constitutive expressor of PR genes 1 (CPR1) was previously identified as a component of a Skp1, Cullin1, F-box protein E3 complex that targets NLRs, including Suppressor of NPR1, Constitutive 1 (SNC1) and Resistance to Pseudomonas syringae 2 (RPS2), for ubiquitination and further protein degradation. From a forward genetic screen, we identified Mutant, snc1-enhancing 3 (MUSE3), an E4 ubiquitin ligase involved in polyubiquitination of its protein targets. Knocking out MUSE3 in Arabidopsis thaliana results in increased levels of NLRs, including SNC1 and RPS2, whereas overexpressing MUSE3 together with CPR1 enhances polyubiquitination and protein degradation of these immune receptors. This report on the functional role of an E4 ligase in plants provides insight into the scarcely understood NLR degradation pathway.
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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".