Evidence map›Paper›PMID 37324731›Full record

ArticleFrontiers in nutrition2023

Integrative analysis of grapevine (

Guangqing Fu, Yanhua Ren, Jun Kang, Bo Wang, Junxiang Zhang, Jinggui Fang, Weimin Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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 3 institutions in 1 country.

Guangqing FuResearch Institute of Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Yanhua RenDepartment of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Jun KangDepartment of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Bo WangResearch Institute of Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Junxiang ZhangFood and Wine Academy, Ningxia University, Yinchuan, Ningxia, China.
Jinggui FangDepartment of Horticulture, Nanjing Agricultural University, Nanjing, Jiangsu, China.
Weimin WuResearch Institute of Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu, China.
Jiangsu Academy of Agricultural Sciences · CNNanjing Agricultural University · CNNingxia University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthocyanins, total phenols, soluble sugar and fruit shape plays a significant role in determining the distinct fruit quality and customer preference. However, for the majority of fruit species, little is known about the transcriptomics and underlying regulatory networks that control the generation of overall quality during fruit growth and ripening. This study incorporated the quality-related transcriptome data from 6 ecological zones across 3 fruit development and maturity phases of Chardonnay cultivars. With the help of this dataset, we were able to build a complex regulatory network that may be used to identify important structural genes and transcription factors that control the anthocyanins, total phenols, soluble sugars and fruit shape in grapes. Overall, our findings set the groundwork to improve grape quality in addition to offering novel views on quality control during grape development and ripening.

Indexed as

fruit qualityregulatory networkstranscriptomeweighted correlation network analysiswine grapes

Identifiers

PMID37324731
PMCPMC10265639
OpenAlexW4378908406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.