农业科学学报(英文)2024,Vol.23Issue(3) :876-887.DOI:10.1016/j.jia.2023.11.022

Identification of key genes regulating the synthesis of quercetin derivatives in Rosa roxburghii through integrated transcriptomics and metabolomics

Liyao Su Min Wu Tian Zhang Yan Zhong Zongming(Max) Cheng
农业科学学报(英文)2024,Vol.23Issue(3) :876-887.DOI:10.1016/j.jia.2023.11.022

Identification of key genes regulating the synthesis of quercetin derivatives in Rosa roxburghii through integrated transcriptomics and metabolomics

Liyao Su 1Min Wu 1Tian Zhang 1Yan Zhong 1Zongming(Max) Cheng1
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作者信息

  • 1. State Key Laboratory of Crop Genetics and Germplasm Enhancement,College of Horticulture,Nanjing Agricultural University,Nanjing 210095,China
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Abstract

Rosa roxburghii fruit is rich in flavonoids,but little is known about their biosynthetic pathways.In this study,we employed transcriptomics and metabolomics to study changes related to the flavonoids at five different stages of R.roxburghii fruit development.Flavonoids and the genes related to their biosynthesis were found to undergo significant changes in abundance across different developmental stages,and numerous quercetin derivatives were identified.We found three gene expression modules that were significantly associated with the abundances of the different flavonoids in R.roxburghii and identified three structural UDP-glycosyltransferase genes directly involved in the synthesis of quercetin derivatives within these modules.In addition,we found that RrBEH4,RrLBD1 and RrPIF8 could significantly increase the expression of downstream quercetin derivative biosynthesis genes.Taken together,these results provide new insights into the metabolism of flavonoids and the accumulation of quercetin derivatives in R.roxburghii.

Key words

Rosa roxburghii/quercetin derivatives/weighted gene co-expression network analysis/transcription factor/transcriptome/metabolome

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基金项目

Priority Academic Program Development of Jiangsu Higher Education Institutions()

State Key Laboratory of Crop Genetics and Germplasm Enhancement,China(ZW201813)

highperformance computing platform of the Bioinformatics Center,Nanjing Agricultural University,China()

出版年

2024
农业科学学报(英文)
中国农业科学院农业信息研究所

农业科学学报(英文)

CSTPCD
影响因子:0.576
ISSN:2095-3119
参考文献量45
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