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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
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