Evidence map›Paper›PMID 27694342›Full record

ArticlePlant physiology2016

A Tomato Vacuolar Invertase Inhibitor Mediates Sucrose Metabolism and Influences Fruit Ripening.

Guozheng Qin, Zhu Zhu, Weihao Wang, Jianghua Cai, Yong Chen, Li Li, Shiping Tian

Open access · greenAbstract read
In one paragraph

Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
26.0field-weighted citation impact, top 1% of its field
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

65 citing papers in PubMed, 173 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Manipulating the Light Systemic Signal HY5 Greatly Improve Fruit Quality in Tomato.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. A vacuolar invertase geneHorticulture research · 2025
    Article
  11. Article
  12. Virus-InducedPlants (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. An Insight ofInternational journal of molecular sciences · 2023
    Article
  20. Review

5 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Guozheng QinKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).ORCID 0000-0003-3046-1177
Zhu ZhuKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).
Weihao WangKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).
Jianghua CaiKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).
Yong ChenKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).
Li LiKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.).ORCID 0000-0002-4352-4061
Shiping TianKey Laboratory of Plant Resources, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Haidian District, Beijing 100093, China (G.Q., Z.Z., W.W., J.C., Y.C., S.T.); tsp@ibcas.ac.cn.
United States Department of Agriculture · USChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruit ripening is a complex process that involves a series of physiological and biochemical changes that ultimately influence fruit quality traits, such as color and flavor. Sugar metabolism is an important factor in ripening, and there is evidence that it influences various aspects of ripening, although the associated mechanism is not well understood. In this study, we identified and analyzed the expression of 36 genes involved in Suc metabolism in ripening tomato (Solanum lycopersicum) fruit. Chromatin immunoprecipitation and gel mobility shift assays indicated that SlVIF, which encodes a vacuolar invertase inhibitor, and SlVI, encoding a vacuolar invertase, are directly regulated by the global fruit ripening regulator RIPENING INHIBITOR (RIN). Moreover, we showed that SlVIF physically interacts with SlVI to control Suc metabolism. Repression of SlVIF by RNA interference delayed tomato fruit ripening, while overexpression of SlVIF accelerated ripening, with concomitant changes in lycopene production and ethylene biosynthesis. An isobaric tags for relative and absolute quantification-based quantitative proteomic analysis further indicated that the abundance of a set of proteins involved in fruit ripening was altered by suppressing SlVIF expression, including proteins associated with lycopene generation and ethylene synthesis. These findings provide evidence for the role of Suc in promoting fruit ripening and establish that SlVIF contributes to fruit quality and the RIN-mediated ripening regulatory mechanisms, which are of significant agricultural value.

Indexed as

Base SequenceChromatin ImmunoprecipitationElectrophoretic Mobility Shift AssayFruitGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantPlant ProteinsPromoter Regions, GeneticProtein BindingProteomicsReal-Time Polymerase Chain ReactionSolanum lycopersicumSucrosePlant ProteinsSucrose

Identifiers

PMID27694342
PMCPMC5100769
OpenAlexW2524428412

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.