Guided deletion and mutagenesis analysis identified a tMEK2-responsive region in tomato lepr1b1 promoter
Bibliographic record
Abstract
tMEK2MUT is a constitutively activated form of tMEK2, a mitogen-activated protein kinase kinase (MAPKK). Overexpression of tMEK2MUT in tomato results in transcriptionally upregulated expression of PR1b1, a pathogenesis-related (PR) protein. To identify the responsive regions in the lepr1b1 promoter, Arabidopsis homologues to known mammalian and yeast transcription factors (TFs) downstream of MAPKs in MAPK pathways were identified through database searches. Binding sites in the lepr1b1 promoter for these homologous TFs were analyzed using Transfac, a TF database, and MatInspector program. The analysis indicated that the promoter contains potential binding sites for two TFs, Elf1 and AP1. A protoplast transient expression system was used in deletion and mutagenesis analysis. Mutation of the Elf1 binding site blocked activation of the LePR1b1 gene by tMEK2MUT. Mutation of the AP1 binding sites and of the GCC or W box, two regulatory elements found in some defense-related genes, had no effect on the expression of PR1b1. Our findings suggest that Elf1 is a downstream TF from MAPKK tMEK2 and is involved in mediating LePR1b1 gene expression in defense-related MAPK pathways
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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 | 0.001 |
| 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) | 0.002 | 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".