Evidence map›Paper›PMID 37794356›Full record

ArticleBMC genomics2023

Multi-omics analysis reveals the molecular basis of flavonoid accumulation in fructus of Gardenia (Gardenia jasminoides Ellis).

Jianrong Chen, Weizhuo Tang, Chunyan Li, Ding Kuang, Xiaojiang Xu, Yuan Gong, Fang Liu, Song Gao

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. 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
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Chemical composition differences in wildWorld journal of biological chemistry · 2025
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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

8 authors at 2 institutions in 1 country.

Jianrong ChenCollege of Biological and Chemical Engineering, Changsha University, Changsha, China.
Weizhuo TangCollege of Biological and Chemical Engineering, Changsha University, Changsha, China.
Chunyan LiCollege of Biological and Chemical Engineering, Changsha University, Changsha, China.
Ding KuangHunan Yangli Agriculture and Forestry Sci-Tech Co., Ltd, Yueyang, China.
Xiaojiang XuCollege of Biological and Chemical Engineering, Changsha University, Changsha, China.
Yuan GongCollege of Biological and Chemical Engineering, Changsha University, Changsha, China.
Fang LiuCollege of Biological and Chemical Engineering, Changsha University, Changsha, China. lf800825@163.com.
Song GaoCollege of Horticulture and Landscape Architecture, Yangzhou University, Yangzhou, China. gaosong@yzu.edu.cn.
Changsha University · CNYangzhou University · CN

Funding

Science and technology innovation Program of Hunan Province 2021NK2018
6 · The paper itself

Abstract

backgroundThe fruits of Gardenia are rich in flavonoids and geniposides, which have various pharmacological effects such as antioxidant, anti-inflammatory and anticancer. In this study, we analyzed the transcriptome and metabolome of gardenia peel and kernel at different growth stages, revealed the regulatory network related to flavonoid synthesis, and identified the key regulatory genes.

resultsThe results showed that in terms of flavonoid metabolic pathways, gardenia fruits mainly synthesized cinnamic acid through the phenylpropanoid pathway, and then synthesized flavonoids through the action of catalytic enzymes such as 4-coumaroyl-CoA ligase, chalcone synthase, chalcone isomerase and flavanol synthase, respectively. In addition, we found that the metabolomics data showed a certain spatial and temporal pattern in the expression of genes related to the flavonoid metabolism pathway and the relative content of metabolites, which was related to the development and ripening process of the fruit.

conclusionsIn summary, this study successfully screened out the key genes related to the biosynthesis metabolism of flavonoids in gardenia through the joint analysis of transcriptome and metabolome. This is of certain significance to the in-depth study of the formation mechanism of gardenia efficacy components and the improvement of quality.

Indexed as

GardeniaIridoidsFlavonoidsFruitMultiomicsFlavonoidsIridoidsFlavonoid metabolismGardenia (Gardenia jasminoides Ellis)Geniposide biosynthesisMulti-omics

Identifiers

PMID37794356
PMCPMC10548582
OpenAlexW4387341978

What OpenQuestion holds

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LicenceCC BY
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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.