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Record W2014337670 · doi:10.1080/07060660309507070

Guided deletion and mutagenesis analysis identified a tMEK2-responsive region in tomato lepr1b1 promoter

2003· article· en· W2014337670 on OpenAlexafffundvenue
Tim Xing, X.-J. Wang, K. A. Malik, Brian Miki

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaChina Scholarship Council
KeywordsAP-1 transcription factorArabidopsisTranscription factorBiologyGeneMutagenesisGeneticsMAPK/ERK pathwayPromoterRegulation of gene expressionGene expressionMutationKinaseCell biologyMolecular biologyMutant

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.232
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2003
Admission routes3
Has abstractyes

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