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Record W7164128414 · doi:10.5376/pgt.2025.16.0027

Metabolic Network Reprogramming During Leaf Senescence in Arabidopsis

2025· article· W7164128414 on OpenAlexvenueno aff
Wenyu Yang, Xinguang Cai, Chunxiang Ma

Bibliographic record

VenuePlant Gene and Trait · 2025
Typearticle
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWRKY protein domainSenescenceArabidopsisMetabolic networkArabidopsis thalianaTranscription factorMetabolic pathwayMetabolismReprogramming

Abstract

fetched live from OpenAlex

This study collates the changes in primary metabolism of Arabidopsis thaliana during leaf senescence, from being dominated by “accumulation” to being dominated by “decomposition and reuse”, and introduces the degradation of starch, the decomposition of proteins and membrane lipids, as well as the significant roles of amino acid and polyamine metabolism in nutrient mobilization and energy supply. The functions of the phenylpropane pathway, flavonoids and other secondary metabolites in antioxidation and stress response were summarized. How transcription factors such as NAC, WRKY and bZIP, as well as hormone signals such as ethylene, ABA, JA and SA, together form a multi-level regulatory network was discussed. Moreover, through multi-omics and systems biology methods, the metabolic network and gene regulatory network related to aging were integrated and reconstructed. This study aims to construct a more systematic framework for regulating leaf senescence metabolism, providing a reference for a deeper understanding of senescence mechanisms and genetic improvement of crops.

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 categoriesMeta-epidemiology (narrow)
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 score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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.

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
Published2025
Admission routes1
Has abstractyes

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