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Record W2343365400 · doi:10.14288/1.0069909

Role of Arabidopsis receptor for activated C-protein kinase 1 in plant growth, development and abscisic acid responses

2010· article· en· W2343365400 on OpenAlexaff
Jianjun Guo

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAbscisic acidArabidopsisPlant growthReceptorKinaseBiologyProtein kinase ACell biologyChemistryBotanyBiochemistryGene

Abstract

fetched live from OpenAlex

In mammalian cells and yeast, RACK1 (Receptor for Activated C Protein Kinase 1) regulates various signaling pathways and cellular processes through its interaction with numerous signaling proteins. However, its functions in plants are poorly understood. My PhD project utilizes a combination of genetic, molecular, biochemical, bioinformatic, and cell biological approaches to study the function of RACK1 in plants using Arabidopsis as a model system. The first part of my study focused on the role of RACK1 genes in plant growth and development. The Arabidopsis genome contains three RACK1 genes, namely RACK1A, RACK1B and RACK1C. Using a genetic complementation approach, I discovered that three Arabidopsis RACK1 genes are functionally equivalent and positively regulate plant root and shoot growth and development. The second part of my study focused on the role of RACK1 genes in abscisic acid (ABA) responses. ABA primarily mediates plant responses to abiotic stress. It is one of the five classic plant hormones. Through physiological and molecular biological assays, I established that the three RACK1 genes function as negative regulators of ABA responses and that they are also involved in salt and drought stress responses. In searching for the molecular function of RACK1 in ABA responses, I first looked into the potential interaction between RACK1 and the heterotrimeric G-protein complex (another negative regulator of ABA responses). Both protein(s) (complex) are highly conserved between Arabidopsis, yeast and mammal and a physical interaction between them were found in non-plant systems. I discovered that Arabidopsis RACK1 and a heterotrimeric G-protein complex appeared to work additively in ABA responses. Moreover, there was no physical interaction detected between the Arabidopsis homologs of RACK1 and the subunits of G-protein complex. These data indicate that Arabidopsis RACK1 and heterotrimeric G-protein complex work in independent manner in regulating ABA responses, distinct from their counterparts in mammalian and yeast cells. I next looked into the potentially evolutionarily-conserved role of RACK1 in regulating protein translation as a candidate mechanism via which RACK1 could negatively influence ABA responses. I found five lines of evidence directly or indirectly supporting this hypothesis: all three Arabidopsis RACK1s complemented the growth defects of the yeast rack1/cpc2 mutant; the rack1 mutation had an additive effect with anisomycin, an inhibitor of protein translation, on root growth; RACK1 physically interacted with Arabidopsis eukaryotic initiation factor 6 (eIF6), also known to regulate ribosome assembly and translation initiation in mammalian cells; rack1 mutants displayed impaired 60S ribosome subunit biogenesis and 80S functional ribosome assembly. In addition, ABA constantly inhibited the expression of RACK1 and eIF6. In summary, my PhD work has advanced our understanding of the versatile role of RACK1 genes in regulating several traits in plant growth and development as well as ABA/stress responses. I also found that Arabidopsis RACK1 and heterotrimeric G-protein complex, different from their counterparts in mammals and yeast, worked independently in regulating ABA responses. In addition, I established a role of Arabidopsis RACK1 in regulating protein translation, which was the first defined cellular process in which RACK1 is involved. At last, the data from my study indicates a role of RACK1 as a molecular link between ABA signaling and its effect on protein translation.

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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.164
Teacher spread0.155 · 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
Published2010
Admission routes1
Has abstractyes

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