Translatome analysis of an NB-LRR immune response identifies important contributors to plant immunity in Arabidopsis
Bibliographic record
Abstract
An important branch of plant immunity involves the recognition of pathogens by nucleotide-binding, leucine-rich repeat (NB-LRR) proteins. However, signaling events downstream of NB-LRR activation are poorly understood. We have analysed the Arabidopsis translatome using ribosome affinity purification and RNA sequencing. Our results show that the translational status of hundreds of transcripts is differentially affected upon activation of the NB-LRR protein RPM1, showing an overall pattern of a switch away from growth-related activities to defense. Among these is the central translational regulator and growth promoter, Target of Rapamycin (TOR) kinase. Suppression of TOR expression leads to increased resistance to pathogens while overexpression of TOR results in increased susceptibility, indicating an important role for translational control in the switch from growth to defense. Furthermore, we show that several additional genes whose mRNAs are translationally regulated, including BIG, CCT2, and CIPK5, are required for both NB-LRR-mediated and basal plant innate immunity, identifying novel actors in plant defense.
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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 | 0.001 |
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".