Evidence map›Paper›PMID 35932402›Full record

ArticlePlanta2022

VvTOR interacts with VvSnRK1.1 and regulates sugar metabolism in grape.

Ying Zhao, Xiu-Qin Wang

Abstract read
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In one paragraph

Article in Planta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ying ZhaoCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, People's Republic of China.
Xiu-Qin WangCollege of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, People's Republic of China. wangxqbj@163.com.ORCID http://orcid.org/0000-0003-4764-835X

Funding

National Key Research and Development Program of China 2018yfd1000200National Natural Science Foundation of China 31572101National Natural Science Foundation of China 31972386
6 · The paper itself

Abstract

MAIN

conclusionVvTOR interacts with VvSnRK1.1 and regulates sugar accumulation and sugar-related genes expression in grape. Target of rapamycin (TOR) and sucrose-non-fermenting-related protein kinase 1.1 (SnRK1.1) both are critical proteins in plant sugar metabolism. Glucose-TOR signaling dictates transcriptional reprogramming of gene sets involved in central and secondary metabolism, cell cycle, transcription, signaling, transport and folding. SnRK1.1 is involved in sucrose-induced hypocotyl elongation. However, the relationship of TOR and SnRK1.1 in regulating sugar metabolism is unclear. In the study, we utilized grape (Vitis vinifera) calli to explore the relationship between TOR and SnRK1.1 in the sugar metabolism. We found that VvTOR interacted with VvSnRK1.1. By subcellular localization, VvTOR was found in the nucleus and cell membrane. Transgenic grape calli achieved by Agrobacterium-mediated transformation contained less glucose compared to WT calli. The fructose contents were markedly increased in the overexpressing VvTOR (OE-VvTOR), OE-VvTOR + RNAi-VvSnRK1.1 and RNAi-VvTOR + OE-VvSnRK1.1 transgenic calli. Sucrose contents were significantly increased in the OE-VvTOR transgenic calli and reduced in the OE-VvTOR + RNAi-VvSnRK1.1 transgenic calli, which implied that the pathway of VvTOR improving sucrose content might need the expression of VvSnRK1.1. VvTOR interacted with VvSnRK1.1 and regulated sugar metabolism in grape. These results suggest that there is a crosstalk between TOR and SnRK1.1 in plant sugar metabolism.

Indexed as

VitisGene Expression Regulation, PlantGlucosePlant ProteinsSucroseSugarsGlucosePlant ProteinsSucroseSugarsBiFCCo-immunoprecipitationSugar-related genes expressionTransgenic grape calliVvTORY2H

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.