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Record W4413961324 · doi:10.5376/ijh.2025.15.0019

Molecular Regulation of Durian Fruit Aroma: Genetic Network of Sulfur-Containing Volatile Biosynthesis

2025· article· en· W4413961324 on OpenAlexvenueno aff
Zhonggang Li

Bibliographic record

VenueInternational Journal of Horticulture · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsnot available
Fundersnot available
KeywordsAromaSulfurBiosynthesisChemistryFruit juiceFood scienceBiochemistryGeneOrganic chemistry

Abstract

fetched live from OpenAlex

This study describes the molecular regulatory mechanism of aroma formation in durian (Durio zibethinus) fruit and explores the biosynthetic pathway of sulfur-containing volatiles and their genetic network.The key role of sulfur-containing compounds in imparting a unique odor to the fruit, the core gene family involved in aroma biosynthesis, and the functions of transcription factors (such as MYB and bHLH) in the regulatory network, constructed a regulatory network model reflecting complex interactions.This study also explored the effects of environmental factors such as temperature and light and the fruit development stage on the changes in aroma components, and the mechanism of synergistic effects of external signals and internal regulatory factors.Emerging technologies such as molecular breeding, gene editing, and systems biology have important application prospects for improving the aroma quality of durian.

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 score0.019
Threshold uncertainty score0.422

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 head0.004
GPT teacher head0.223
Teacher spread0.220 · 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
Published2025
Admission routes1
Has abstractyes

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