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Record W4399154488 · doi:10.1111/tpj.16862

Abscisic acid controls sugar accumulation essential to strawberry fruit ripening via the <scp>FaRIPK1</scp> ‐ <scp>FaTCP7</scp> ‐ <i>FaSTP13/FaSPT</i> module

2024· article· en· W4399154488 on OpenAlexaff
Xuexue Chen, Jiahui Gao, Yuanyue Shen

Bibliographic record

VenueThe Plant Journal · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsInstitute of Genetics
FundersInstitute of Genetics and Developmental Biology, Chinese Academy of SciencesNational Natural Science Foundation of China
KeywordsBiologyAbscisic acidRipeningSugarFood scienceBiochemistryGene

Abstract

fetched live from OpenAlex

SUMMARY Strawberry is considered as a model plant for studying the ripening of abscisic acid (ABA)‐regulated non‐climacteric fruits, a process in which sugar plays a fundamental role, while how ABA regulates sugar accumulation remains unclear. This study provides a direct line of physiological, biochemical, and molecular evidence that ABA signaling regulates sugar accumulation via the FaRIPK1‐FaTCP7‐ FaSTP13/FaSPT signaling pathway. Herein, FaRIPK1, a red‐initial protein kinase 1 previously identified in strawberry fruit, not only interacted with the transcription factor FaTCP7 (TEOSINTE BRANCHEN 1, CYCLOIDEA, and PCF) but also phosphorylated the critical Ser89 and Thr93 sites of FaTCP7, which negatively regulated strawberry fruit ripening, as evidenced by the transient overexpression (OE) and virus‐induced gene silencing transgenic system. Furthermore, the DAP‐seq experiments revealed that FvTCP7 bound the motif “GTGGNNCCCNC” in the promoters of two sugar transporter genes, FaSTP13 ( sugar transport protein 13 ) and FaSPT ( sugar phosphate/phosphate translocator ), inhibiting their transcription activities as determined by the electrophoretic mobility shift assay, yeast one‐hybrid, and dual‐luciferase reporter assays. The downregulated FaSTP13 and FaSPT transcripts in the FaTCP7‐OE fruit resulted in a reduction in soluble sugar content. Consistently, the yeast absorption test revealed that the two transporters had hexose transport activity. Especially, the phosphorylation‐inhibited binding of FaTCP7 to the promoters of FaSTP13 and FaSPT could result in the release of their transcriptional activities. In addition, the phosphomimetic form FaTCP7 S89D or FaTCP7 T93D could rescue the phenotype of FaTCP7‐OE fruits. Importantly, exogenous ABA treatment enhanced the FaRIPK1–FaTCP7 interaction. Overall, we found direct evidence that ABA signaling controls sugar accumulation during strawberry fruit ripening via the “FaRIPK1‐FaTCP7‐ FaSTP13 / FaSPT ” module.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.242
Teacher spread0.212 · 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 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

Citations33
Published2024
Admission routes1
Has abstractyes

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