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Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)
Tai,Yuling1,2; Liu,Chun3; Yu,Shuwei2; Yang,Hua2; Sun,Jiameng1; Guo,Chunxiao1; Huang,Bei2; Liu,Zhaoye2; Yuan,Yi1; Xia,Enhua2
刊名BMC Genomics
2018-08-15
卷号19期号:1
关键词Tea plant Co-expression network analysis Characteristic metabolites RNA-seq Secondary metabolic pathway
ISSN号1471-2164
DOI10.1186/s12864-018-4999-9
英文摘要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.
语种英语
出版者BioMed Central
WOS记录号BMC:10.1186/S12864-018-4999-9
内容类型期刊论文
源URL[http://ir.kib.ac.cn/handle/151853/61855]  
专题中国科学院昆明植物研究所
通讯作者Wei,Chaoling; Wan,Xiaochun
作者单位1.
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推荐引用方式
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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