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Record W4416443276 · doi:10.5376/be.2025.15.0015

Metabolic Pathways in Kiwifruit: From Gene Expression to Metabolite Accumulation

2025· article· W4416443276 on OpenAlexvenueno aff
Minghua Li

Bibliographic record

VenueBiological Evidence · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPostharvest Quality and Shelf Life Management
Canadian institutionsnot available
Fundersnot available
KeywordsTranscriptomeMetabolic pathwayMetabolomeMetaboliteGene expressionTranscription factorFlavorGeneTranscription (linguistics)

Abstract

fetched live from OpenAlex

By combining metabolome and transcriptome data, we found several important regulatory pathways and transcription factors. These components are all related to the production and accumulation of flavor substances in kiwifruit during development and ripening. The L-galactose pathway is the main way to synthesize AsA (ascorbic acid), while the D-galacturonic acid pathway and AsA cycle pathway are secondary. MYB transcription factors affect the accumulation of chlorophyll and carotenoids, which is directly related to the color performance of the fruit. Key structural genes such as AaLDOX have also been found, which are involved in the synthesis of anthocyanins and form the red flesh of some kiwifruit varieties. These findings give us a clearer understanding of how flavor substances are synthesized and regulated in kiwifruit. These studies can be used in breeding in the future, such as improving the flavor, nutrition and appearance of kiwifruit to make the quality better.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.238
GPT teacher head0.355
Teacher spread0.117 · 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 designNot applicable
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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