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Record W2104842616 · doi:10.1093/jxb/eri219

Overexpression of SIPK in tobacco enhances ozone-induced ethylene formation and blocks ozone-induced SA accumulation

2005· article· en· W2104842616 on OpenAlexaff
Marcus A. Samuel, Ankit Walia, Shawn D. Mansfield, Brian E. Ellis

Bibliographic record

VenueJournal of Experimental Botany · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant responses to elevated CO2
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Fundersnot available
KeywordsChemistryMAPK/ERK pathwayProgrammed cell deathCell biologyEthyleneArabidopsisBiochemistrySignal transductionBiologyApoptosisGene

Abstract

fetched live from OpenAlex

Ozone induces rapid activation of SIPK, a mitogen-activated protein kinase (MAPK) in tobacco. Through transgenic manipulation it has previously been shown that overexpression of SIPK leads to enhanced ozone-induced lesion formation with concomitant accumulation of ROS. In spite of this hypersensitive phenotype, the effect of this altered SIPK expression on the levels of various hormones that regulate ozone-induced cell death has remained unexplored. The response of both salicylate and ethylene, the major phytohormones that modulate ozone-induced cell death, have now been analysed in SIPK-OX tobacco plants. Ozone treatment strongly induced ethylene formation in the sensitive SIPK-OX plants at ozone concentrations that failed to elicit stress ethylene release in WT plants. By contrast, SIPK-overexpressing plants displayed no ozone-induced SA accumulation, whereas WT plants accumulated SA upon ozone exposure. Epistatic analysis of SIPK-OX function suggests that the ozone-induced cell death observed in SIPK-OX plants is either independent, or upstream, of SA accumulation.

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)0.000
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 score0.043
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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

Citations23
Published2005
Admission routes1
Has abstractyes

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