The jasmonate receptor COI1 is required for AtPep1-induced immune responses in Arabidopsis thaliana
Bibliographic record
Abstract
OBJECTIVE: Plant cells detect the presence of potentially pathogenic microorganisms in the apoplast via plasma membrane-localized receptors. Activated receptors trigger phosphorylation-mediated signaling cascades that protect the cell from infection. It is thought that signaling triggered by the detection of exogenous signals, such as bacterial flagellin, can be amplified by endogenous signals, such as hormones or debris caused by cell damage, to potentiate robust immune responses. For example, perception of flagellin and other microbial molecules results in increased expression of endogenous PROPEP transcripts that give rise to AtPep peptides which also activate immune signaling. Phytohormones such as methyl-jasmonate also induce PROPEP expression, suggestive of additional hormone-mediated feedback loops that similarly amplify immune signaling. The current study aimed to determine if perception of jasmonate is genetically required for AtPep1-induced immune responses in Arabidopsis thaliana. RESULTS: We assessed several AtPep1-induced immune responses in plants expressing a non-functional variant of the jasmonate receptor CORONATINE-INSENSITIVE 1 (COI1). We found that coi1-16 mutants are severely compromised in some AtPep1-induced immune responses, while other AtPep1-induced responses are maintained but reduced. Our findings build on previously published work and suggest that JA perception plays a role in immune responses triggered by AtPep1.
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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) | 0.001 | 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".