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Record W3197865633 · doi:10.14288/1.0394580

Characterization and functional analysis of two redundant MAPKKKs in plant immunity

2023· article· en· W3197865633 on OpenAlexaff
Qian Zhang

Bibliographic record

VenuecIRcle (University of British Columbia) · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCharacterization (materials science)Computer sciencePhysics

Abstract

fetched live from OpenAlex

Mitogen-activated protein kinase (MAPK) cascades are conserved signaling modules that transduce and amplify signals from upstream receptors in eukaryotes. In Arabidopsis, two MAP kinase cascades are activated upon treatment of flg22, a conserved peptide of 22 amino acids within the N terminus of bacteria flagellin. One cascade is composed of MEKK1-MKK1/2-MPK4. The other one is composed of MKK4/5-MPK3/6 and previously unknown MAPKKK(s). How signals are transduced to MAP kinase cascades was also not very clear. My Ph.D. research focuses on identification of the previously unknown MAPKKK(s) upstream of MKK4/MKK5-MPK3/MPK6 module and characterization of this MAP kinase cascade in plant immunity. It is known that YDA-MKK4/5-MPK3/6 cascade regulates stomatal development. I hypothesized that the close homologues of YDA, MAPKKK3 and MAPKKK5, function upstream of MKK4/MKK5-MPK3/MPK6 to regulate plant immunity. The mapkkk3 mapkkk5 double mutant was found to have significantly reduced MPK3 and MPK6 activation upon multiple elicitor treatment including flg22, suggesting that MAPKKK3 and MAPKKK5 are required for multiple elicitor-induced MPK3/MPK6 activation. The double mutant also shows enhanced susceptibility towards virulent pathogens, reduced cell death and enhanced susceptibility towards avirulent pathogens, suggesting that these two MAPKKKs are required for pathogen resistance. Using E.coli expressed proteins, MAPKKK3-MKK5-MPK6 cascade was reconstituted in vitro, biochemically confirming that MAPKKK3 is upstream of MKK5 and MPK6. Kinase assays using different mutant versions of MAPKKK3 protein show that the kinase domain and C terminal domain but not the N terminal regulatory domain of MAPKKK3 is required for signaling. Previously, PCRK1 (Pattern-triggered immunity Compromised Receptor-like cytoplasmic Kinase 1) and PCRK2 were shown to interact with flg22 receptor and the pcrk1 pcrk2 double mutant shows modestly reduced flg22-induced MPK3/MPK6 activation. Co-Immunoprecipitation and biotinylation assays using transient expressed proteins in Nicotiana benthaminana showed that MAPKKK3 and MAPKKK5 interact with PCRK2, suggesting PCRK2 may transduce signal from flg22 receptor to MAPKKK3/MPKKK5. Altogether, studies in this dissertation identified two MAPKKKs functioning upstream of MKK4/5-MPK3/6, characterized the roles of this MAP kinase cascade in immunity and provided insight on signal transduction from the flg22 receptor to this MAP kinase cascade.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.025
GPT teacher head0.197
Teacher spread0.172 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

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