<i>STT3A</i> is required for recognition of pathogen-derived sphingolipids in Arabidopsis
Bibliographic record
Abstract
ABSTRACT Plants recognize pathogen-associated molecular patterns (PAMPs) via pattern recognition receptors, leading to the activation of pattern-triggered immunity in response to pathogen attack. P hytophthora infestans cer amide D (Pi-Cer D) is a sphingolipid from the oomycete pathogen P. infestans . Pi-Cer D is cleaved by the plant extracellular ceramidase NEUTRAL CERAMIDASE 2 (NCER2), and the resulting 9-methyl-branched sphingoid base is recognized by the plant receptor RESISTANT TO DFPM-INHIBITION OF ABSCISIC ACID SIGNALING 2 (RDA2) at the plasma membrane to transduce a defense signal. However, additional components are likely involved in sphingolipid recognition, which remain to be identified. Here, we employed a screen based on Lumi-Map technology to look for Arabidopsis ( Arabidopsis thaliana ) mutants with altered defense responses to Pi-Cer D. We identified three mutants showing diminished responses to Pi-Cer D and elf18, each carrying mutations in STAUROSPORIN AND TEMPERATURE SENSITIVE 3-LIKE A ( STT3A ), which encodes an oligosaccharyltransferase. The stt3a mutants exhibited higher susceptibility to the pathogen Colletotrichum higginsianum than the wild type and displayed alterations in NCER2 protein modifications. These findings suggest that STT3A contributes to plant immunity via post-translational modification of proteins including NCER2.
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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".