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

Overview of attention for article published in BMC Genomics, August 2018
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Title
Gene co-expression network analysis reveals coordinated regulation of three characteristic secondary biosynthetic pathways in tea plant (Camellia sinensis)
Published in
BMC Genomics, August 2018
DOI 10.1186/s12864-018-4999-9
Pubmed ID
Authors

Yuling Tai, Chun Liu, Shuwei Yu, Hua Yang, Jiameng Sun, Chunxiao Guo, Bei Huang, Zhaoye Liu, Yi Yuan, Enhua Xia, Chaoling Wei, Xiaochun Wan

Abstract

The 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. In 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. Our 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.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Student > Master 14 19%
Researcher 8 11%
Student > Bachelor 4 5%
Other 4 5%
Other 6 8%
Unknown 16 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 45%
Biochemistry, Genetics and Molecular Biology 14 19%
Computer Science 2 3%
Veterinary Science and Veterinary Medicine 1 1%
Physics and Astronomy 1 1%
Other 3 4%
Unknown 20 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2018.
All research outputs
#12,698,323
of 16,638,522 outputs
Outputs from BMC Genomics
#6,366
of 9,107 outputs
Outputs of similar age
#161,458
of 233,422 outputs
Outputs of similar age from BMC Genomics
#10
of 14 outputs
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