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Record W4387194522 · doi:10.5376/mpb.2023.14.0019

Horticultural Plant Cold Resistance Mechanism under WRKY Transcription Factor and Sugar Interaction

2023· article· en· W4387194522 on OpenAlexvenueno aff
Hongling Su, Ying Zhang, Hui Xue, Bing Sun

Bibliographic record

VenueMolecular Plant Breeding · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsnot available
FundersShenyang Normal UniversityNational Natural Science Foundation of China
KeywordsWRKY protein domainBiologyCold stressSugarTranscription factorAbiotic stressMechanism (biology)BiotechnologyCell biologyBotanyGeneGeneticsGene expressionBiochemistryTranscriptome

Abstract

fetched live from OpenAlex

Cold stress seriously affects the growth development of plants and crop yield. In order to ensure survival, plants have formed a complex and efficient regulatory network to resist the cold stress or gradually adapt to it. WRKY transcription factors play an important role in plant abiotic stress response. Although exogenous sugar can also improve the resistance of plants to cold stress, the response mechanism of plants to cold stress under the interaction between transcription factors and sugar is still unclear. In this review, the author introduced the damage of cold stress on plants, briefly summarized the mechanism and regulatory network of WRKY transcription factors in response to stress. Moreover, the author also reviewed the response of horticultural plants to cold stress after exogenous sugar and explained the possible cold resistance mechanism of horticultural plants under the interaction between WRKY and sugar, which aimed to provide some reference for the study of the internal molecular mechanism of horticultural plants coping with cold stress.

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 score0.006
Threshold uncertainty score0.760

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 communication0.0000.000
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 head0.021
GPT teacher head0.238
Teacher spread0.217 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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