Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)

doi:10.1186/s12864-018-4999-9

KIB OpenIR

	Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)
	Tai,Yuling 1,2; Liu,Chun 3; Yu,Shuwei 2; Yang,Hua 2; Sun,Jiameng 1; Guo,Chunxiao 1; Huang,Bei 2; Liu,Zhaoye 2; Yuan,Yi 1; Xia,Enhua2 ; Wei,Chaoling 2; Wan,Xiaochun 2
	2018-08-15
Source Publication	BMC Genomics
ISSN	1471-2164
Volume	19 Issue:1
Abstract	AbstractBackgroundThe leaves of tea plants (Camellia sinensis) are used to produce tea, which is one of the most popular beverages consumed worldwide. The nutritional value and health benefits of tea are mainly related to three abundant characteristic metabolites; catechins, theanine and caffeine. Weighted gene co-expression network analysis (WGCNA) is a powerful system for investigating correlations between genes, identifying modules among highly correlated genes, and relating modules to phenotypic traits based on gene expression profiling. Currently, relatively little is known about the regulatory mechanisms and correlations between these three secondary metabolic pathways at the omics level in tea.ResultsIn this study, levels of the three secondary metabolites in ten different tissues of tea plants were determined, 87,319 high-quality unigenes were assembled, and 55,607 differentially expressed genes (DEGs) were identified by pairwise comparison. The resultant co-expression network included 35 co-expression modules, of which 20 modules were significantly associated with the biosynthesis of catechins, theanine and caffeine. Furthermore, we identified several hub genes related to these three metabolic pathways, and analysed their regulatory relationships using RNA-Seq data. The results showed that these hub genes are regulated by genes involved in all three metabolic pathways, and they regulate the biosynthesis of all three metabolites. It is notable that light was identified as an important regulator for the biosynthesis of catechins.ConclusionOur integrated omics-level WGCNA analysis provides novel insights into the potential regulatory mechanisms of catechins, theanine and caffeine metabolism, and the identified hub genes provide an important reference for further research on the molecular biology of tea plants.
Keyword	Tea plant Co-expression network analysis Characteristic metabolites RNA-seq Secondary metabolic pathway
DOI	10.1186/s12864-018-4999-9
Language	英语
WOS ID	BMC:10.1186/s12864-018-4999-9
Citation statistics
Document Type	期刊论文
Identifier	http://ir.kib.ac.cn/handle/151853/61856
Collection	中国科学院昆明植物研究所
Corresponding Author	Wei,Chaoling; Wan,Xiaochun
Affiliation	1. 2. 3.
Recommended Citation GB/T 7714	Tai,Yuling,Liu,Chun,Yu,Shuwei,et al. Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)[J]. BMC Genomics,2018,19(1).
APA	Tai,Yuling.,Liu,Chun.,Yu,Shuwei.,Yang,Hua.,Sun,Jiameng.,...&Wan,Xiaochun.(2018).Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis).BMC Genomics,19(1).
MLA	Tai,Yuling,et al."Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)".BMC Genomics 19.1(2018).

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