Target Metabolome and Transcriptome Analysis Reveal Molecular Mechanism Associated with Changes of Tea Quality at Different Development Stages

被引:0
|
作者
Wang, Zhen-hong [1 ]
Zhang, Guo-qiang [2 ]
Zhang, Zi-wei [1 ]
Li, Zheng-hong [2 ]
机构
[1] Tibet Agr & Anim Husb Univ, Resources & Environm Coll, Nyingchi 860000, Peoples R China
[2] Anhui Polytech Univ, Sch Biol & Food Engn, Wuhu 241000, Peoples R China
关键词
Tea leaf; Metabolome; Transcriptome; Pathway; Gene; BIOSYNTHESIS; GENES; POLYPHENOLS; FLAVONOIDS; CAFFEINE; TREE;
D O I
10.1007/s12033-022-00525-w
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This study aimed to explore the molecular mechanisms underlying the differential quality of tea made from leaves at different development stages. Fresh Camellia sinensis (L.) O. Kuntze "Sichuan Colonial" leaves of various development stages, from buds to old leaves, were subjected to transcriptome sequencing and metabolome analysis, and the DESeq package was used for differential expression analysis, followed by functional enrichment analyses and protein interaction analysis. Target metabolome analysis indicated that the contents of most compounds, including theobromine and epicatechin gallate, were lowest in old leaves, and transcriptome analysis revealed that DEGs were significantly involved in extracellular regions and phenylpropanoid biosynthesis, photosynthesis-related pathways, and the oleuropein steroid biosynthesis pathway. Protein-protein interaction analysis identified LOC114256852 as a hub gene. Caffeine, theobromine, l-theanine, and catechins were the main metabolites of the tea leaves, and the contents of all four main metabolites were the lowest in old leaves. Phenylpropanoid biosynthesis, photosynthesis, and brassinosteroid biosynthesis may be important targets for breeding efforts to improve tea quality.
引用
收藏
页码:52 / 60
页数:9
相关论文
共 50 条
  • [31] Targeted Metabolome and Transcriptome Analyses Reveal the Molecular Mechanism of Color Variation between Sepals and Petals in Fuchsia hybrida
    Lei, Shutong
    Li, Jingjing
    Wang, Jiaying
    Deng, Chengyan
    [J]. HORTICULTURAE, 2023, 9 (11)
  • [32] An Integrative Analysis of Metabolome and Transcriptome Reveals the Molecular Regulatory Mechanism of the Accumulation of Flavonoid Glycosides in Different Cyclocarya paliurus Ploidies
    Yu, Yanhao
    Qu, Yinquan
    Wang, Shuyang
    Wang, Qian
    Shang, Xulan
    Fu, Xiangxiang
    [J]. FORESTS, 2023, 14 (04):
  • [33] Metabolome and Whole-Transcriptome Analyses Reveal the Molecular Mechanisms Underlying Hypoglycemic Nutrient Metabolites Biosynthesis in Cyclocarya paliurus Leaves During Different Harvest Stages
    Zheng, Xuehai
    Xiao, Huibao
    Chen, Jiannan
    Zhu, Jinmao
    Fu, Yajuan
    Ouyang, Songying
    Chen, Youqiang
    Chen, Duo
    Su, Jingqian
    Xue, Ting
    [J]. FRONTIERS IN NUTRITION, 2022, 9
  • [34] Integrated transcriptome and metabolome profiles reveal the regulatory molecular mechanisms of meat quality in pasture-fed goose
    Ali, Qasim
    Liu, Boshuai
    La, Shaokai
    Farooq, Umar
    Han, Yao
    Liu, Mengqi
    Zhang, Yan
    Li, Defeng
    Wang, Zhichang
    Sun, Hao
    Cui, Yalei
    Ma, Sen
    Shi, Yinghua
    [J]. FOOD BIOSCIENCE, 2024, 61
  • [35] Exploration of molecular mechanism of intraspecific cross-incompatibility in sweetpotato by transcriptome and metabolome analysis
    Yang, Yiling
    Zhang, Xiongjian
    Zou, Hongda
    Chen, Jingyi
    Wang, Zhangying
    Luo, Zhongxia
    Yao, Zhufang
    Fang, Boping
    Huang, Lifei
    [J]. PLANT MOLECULAR BIOLOGY, 2022, 109 (1-2) : 115 - 133
  • [36] Exploration of molecular mechanism of intraspecific cross-incompatibility in sweetpotato by transcriptome and metabolome analysis
    Yiling Yang
    Xiongjian Zhang
    Hongda Zou
    Jingyi Chen
    Zhangying Wang
    Zhongxia Luo
    Zhufang Yao
    Boping Fang
    Lifei Huang
    [J]. Plant Molecular Biology, 2022, 109 : 115 - 133
  • [37] The Chemical Composition and Transcriptome Analysis Reveal the Mechanism of Color Formation in Tea (Camellia sinensis) Pericarp
    Du, Yueyang
    Lin, Yongen
    Zhang, Kaikai
    Rothenberg, Dylan O'Neill
    Zhang, Huan
    Zhou, Hui
    Su, Hongfeng
    Zhang, Lingyun
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2023, 24 (17)
  • [38] Integrated Analysis of Transcriptome and Metabolome Reveals Molecular Mechanisms of Rice with Different Salinity Tolerances
    Zhou, Zhenling
    Liu, Juan
    Meng, Wenna
    Sun, Zhiguang
    Tan, Yiluo
    Liu, Yan
    Tan, Mingpu
    Wang, Baoxiang
    Yang, Jianchang
    [J]. PLANTS-BASEL, 2023, 12 (19):
  • [39] Combined metabolome and transcriptome analysis reveal the mechanism of selenate influence on the growth and quality of cabbage (Brassica oleracea var. capitata L.)
    Yang, Xiaoyan
    Liao, Xiaoli
    Yu, Li
    Rao, Shen
    Chen, Qiangwen
    Zhu, Zhenzhou
    Cong, Xin
    Zhang, Weiwei
    Ye, Jiabao
    Cheng, Shuiyuan
    Xu, Feng
    [J]. Food Research International, 2022, 156
  • [40] Combined metabolome and transcriptome analysis reveal the mechanism of selenate influence on the growth and quality of cabbage (Brassica oleracea var. capitata L.)
    Yang, Xiaoyan
    Liao, Xiaoli
    Yu, Li
    Rao, Shen
    Chen, Qiangwen
    Zhu, Zhenzhou
    Cong, Xin
    Zhang, Weiwei
    Ye, Jiabao
    Cheng, Shuiyuan
    Xu, Feng
    [J]. FOOD RESEARCH INTERNATIONAL, 2022, 156