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Record W3096745773 · doi:10.5376/mpb.2020.11.0003

Screening and Bioinformatics Analysis of Proteins Interacting with StMAPKK1 in Potato by Yeast Two-Hybrid System

2020· article· en· W3096745773 on OpenAlexvenueno aff
Yu-qiu LIAO, Fangfang Wang, Xi Zhu, Ning Zhang, Huaijun Si

Bibliographic record

VenueMolecular Plant Breeding · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsnot available
FundersGansu Agricultural UniversityNational Natural Science Foundation of China
KeywordsMAPK cascadeBiologyCyclin-dependent kinase 7Protein kinase ASaccharomyces cerevisiaeTwo-hybrid screeningActivator (genetics)GeneMitogen-activated protein kinase kinaseYeastCell biologyGeneticsMolecular biologyKinase

Abstract

fetched live from OpenAlex

Mitogen-activated protein kinase (MAPK) cascade reaction is one of important and complex signal networks involved in plant growth and development, hormone and stress response. As one of its main members, mitogen-activated protein kinase kinase (MAPKK) is located in the middle of the cascade reaction and plays a key role in signal collection and divergence. There were shown that potato ( Solanum tuberosum L.) StMAPKK1 (PGSC0003DMT400000744) gene responded to drought stress. Therefore, StMAPKK1 gene was firstly selected to screen its interacting protein. In this study, the bait vector pGBKT7-StMAPKK1 was constructed by homologous recombination and used to screen potato cDNA library by yeast ( Saccharomyces cerevisiae ) two-hybrid system. Five StMAPKK1-interacting proteins, hydrolase (hydrolyzing O-glycosyl compound), RING-H2 subgroup RHE protein, cyanate hydratase, ARF GTPase activator, and a C2 domain-containing protein, were obtained through this screening and were identificated by bioinformatics analysis, and the interaction was verified by small-scale hybridization verification. The results provided theoretical basis for further study on the signal pathway and biological function of potato StMAPKK1.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.199

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.017
GPT teacher head0.199
Teacher spread0.182 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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