NPR1 enhances the DNA binding activity of the<i>Arabidopsis</i>bZIP transcription factor TGA7This paper is one of a selection of papers published in a Special Issue from the National Research Council of Canada – Plant Biotechnology Institute.
Bibliographic record
Abstract
Pathogen-induced transcriptional reprogramming of the plant genome is mediated predominantly by the cofactor NPR1 (NON-EXPRESSOR OF PATHOGENESIS-RELATED GENES1). NPR1 lacks any known DNA-binding domain and is proposed to regulate transcription through interactions with TGA transcription factors that bind to as-1-like promoter elements. Previous studies have focused on the interaction of NPR1 with subgroup I (TGA1, TGA4) or subgroup II (TGA2, TGA5, TGA6) factors. Using the yeast two-hybrid system, we showed that a member of subgroup III (TGA7) interacts with wild-type NPR1 but not with mutants in the ankyrin repeats that are important for disease resistance. Mutations in the NPR1 BTB/POZ domain also greatly reduced interaction with TGA7. NPR1 substantially increased the binding of TGA7 to cognate promoter elements in vitro, including a salicylic-acid-inducible element of the PR-1 promoter. While TGA7 interacted with all TGA factors tested, interactions were not observed between TGA2 and subgroup I factors, indicating that cross-clade interaction is not a general property of the family. Transcripts from subgroup III TGA factors were weakly inducible by salicylic acid and pathogens, but only TGA3 expression was dependent on NPR1. These results suggest that NPR1-mediated DNA binding of TGA7 could regulate the activation of defense genes.
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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) | 0.003 | 0.002 |
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".