Literature DB >> 33746994

Metabolic Profiling and Gene Expression Analyses of Purple-Leaf Formation in Tea Cultivars (Camellia sinensis var. sinensis and var. assamica).

Ming-Zhi Zhu1,2,3, Fang Zhou1,2, Li-Sha Ran1, Yi-Long Li1, Bin Tan1, Kun-Bo Wang1,2, Jian-An Huang1,2, Zhong-Hua Liu1,2,4.   

Abstract

Purple-leaf tea cultivars are known for their specific chemical composition that greatly influences tea bioactivity and plant resistance. Some studies have tried to reveal the purple-leaf formation mechanism of tea by comparing the purple new leaves and green older leaves in the same purple-leaf tea cultivar. It has been reported that almost all structural genes involved in anthocyanin/flavonoid biosynthesis were down-regulated in purple-leaf tea cultivars when the purple new leaves become green older leaves. However, anthocyanin/flavonoid biosynthesis is also affected by the growth period of tea leaves, gradually decreasing as new tea leaves become old tea leaves. This leads to uncertainty as to whether the purple-leaf formation is attributed to the high expression of structural genes in anthocyanin/flavonoid biosynthesis. To better understand the mechanisms underlying purple-leaf formation, we analyzed the biosynthesis of three pigments (chlorophylls, carotenoids, and anthocyanins/flavonoids) by integrated metabolic and gene expression analyses in four purple-leaf tea cultivars including Camellia sinensis var. sinensis and var. assamica. Green-leaf and yellow-leaf cultivars were employed for comparison. The purple-leaf phenotype was mainly attributed to high anthocyanins and low chlorophylls. The purple-leaf phenotype led to other flavonoid changes including lowered monomeric catechin derivatives and elevated polymerized catechin derivatives. Gene expression analysis revealed that 4-coumarate: CoA ligase (4CL), anthocyanidin synthase (ANS), and UDP-glucose: flavonoid 3-O-glucosyltransferase (UFGT) genes in the anthocyanin biosynthetic pathway and the uroporphyrinogen decarboxylase (HEME) gene in the chlorophyll biosynthetic pathway were responsible for high anthocyanin and low chlorophyll, respectively. These findings provide insights into the mechanism of purple-leaf formation in tea cultivars.
Copyright © 2021 Zhu, Zhou, Ran, Li, Tan, Wang, Huang and Liu.

Entities:  

Keywords:  Camellia sinensis; anthocyanin; biosynthetic pathway; chlorophyll; metabolomics; purple-leaf tea cultivar

Year:  2021        PMID: 33746994      PMCID: PMC7973281          DOI: 10.3389/fpls.2021.606962

Source DB:  PubMed          Journal:  Front Plant Sci        ISSN: 1664-462X            Impact factor:   5.753


  4 in total

1.  Integrative Analysis of Metabolomics and Transcriptomics Reveals Molecular Mechanisms of Anthocyanin Metabolism in the Zikui Tea Plant (Camellia sinensis cv. Zikui).

Authors:  Ju Cai; Litang Lv; Xiaofang Zeng; Fen Zhang; Yulu Chen; Weili Tian; Jianrong Li; Xiangyang Li; Yan Li
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

Review 2.  Metabolomics and health: from nutritional crops and plant-based pharmaceuticals to profiling of human biofluids.

Authors:  Andrey S Marchev; Liliya V Vasileva; Kristiana M Amirova; Martina S Savova; Zhivka P Balcheva-Sivenova; Milen I Georgiev
Journal:  Cell Mol Life Sci       Date:  2021-08-19       Impact factor: 9.261

3.  Identification, Molecular Characteristic, and Expression Analysis of PIFs Related to Chlorophyll Metabolism in Tea Plant (Camellia sinensis).

Authors:  Xiangna Zhang; Ligui Xiong; Yong Luo; Beibei Wen; Kunbo Wang; Zhonghua Liu; Jian-An Huang; Juan Li
Journal:  Int J Mol Sci       Date:  2021-10-11       Impact factor: 5.923

4.  Pan-transcriptome assembly combined with multiple association analysis provides new insights into the regulatory network of specialized metabolites in the tea plant Camellia sinensis.

Authors:  Weilong Kong; Mengwei Jiang; Yibin Wang; Shuai Chen; Shengcheng Zhang; Wenlong Lei; Kun Chai; Pengjie Wang; Renyi Liu; Xingtan Zhang
Journal:  Hortic Res       Date:  2022-07-02       Impact factor: 7.291

  4 in total

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