Literature DB >> 19994861

Metabolomics analysis reveals the compositional differences of shade grown tea (Camellia sinensis L.).

Kang Mo Ku1, Jung Nam Choi, Jiyoung Kim, Jeong Kee Kim, Lang Gook Yoo, Sang Jun Lee, Young-Shick Hong, Choong Hwan Lee.   

Abstract

The different cultivation methods affect tea quality by altering the basic metabolite profiles. In this study, the metabolome changes were investigated in green tea and shade cultured green tea (tencha) by liquid chromatography-mass spectrometry (LC-MS) and gas chromatography-mass spectrometry (GC-MS) coupled with a multivariate data set. The principal component analysis (PCA) and orthogonal projection to latent structures discriminate analysis (OPLS-DA) of green tea clearly showed higher levels of galloylquinic acid, epigallocatechin, epicatechin, succinic acid, and fructose, together with lower levels of gallocatechin, strictinin, apigenin glucosyl arabinoside, quercetin p-coumaroylglucosyl-rhamnosylgalactoside, kaempferol p-coumaroylglucosylrhamnosylgalactoside, malic acid, and pyroglutamic acid than tencha. The effects of some seasonal variations were also observed in the primary metabolite concentrations such as amino acids and organic acids. In addition, green tea showed stronger antioxidant activity than tencha in both April and July. The antioxidant activity of green tea samples were significantly correlated with their total phenol and total flavonoid contents. This present study delineates the possibility to get high umami and less astringent green teas in shade culture. It highlights the metabolomic approaches to find out the effect of cultivation methods on chemical composition in plants and the relationship with antioxidant activity.

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Year:  2010        PMID: 19994861     DOI: 10.1021/jf902929h

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  29 in total

Review 1.  Biotechnological advances in tea (Camellia sinensis [L.] O. Kuntze): a review.

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2.  Fluoride Content of Matcha Tea Depending on Leaf Harvest Time and Brewing Conditions.

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3.  LC-MS-based chemotaxonomic classification of wild-type Lespedeza sp. and its correlation with genotype.

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Journal:  Plant Cell Rep       Date:  2012-07-31       Impact factor: 4.570

Review 4.  Flavonoids are promising safe therapy against COVID-19.

Authors:  Moza Mohamed Alzaabi; Rania Hamdy; Naglaa S Ashmawy; Alshaimaa M Hamoda; Fatemah Alkhayat; Neda Naser Khademi; Sara Mahmoud Abo Al Joud; Ali A El-Keblawy; Sameh S M Soliman
Journal:  Phytochem Rev       Date:  2021-05-22       Impact factor: 7.741

5.  Metabolomics-driven nutraceutical evaluation of diverse green tea cultivars.

Authors:  Yoshinori Fujimura; Kana Kurihara; Megumi Ida; Reia Kosaka; Daisuke Miura; Hiroyuki Wariishi; Mari Maeda-Yamamoto; Atsushi Nesumi; Takeshi Saito; Tomomasa Kanda; Koji Yamada; Hirofumi Tachibana
Journal:  PLoS One       Date:  2011-08-10       Impact factor: 3.240

6.  Metabolomic analysis using ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF MS) uncovers the effects of light intensity and temperature under shading treatments on the metabolites in tea.

Authors:  Qunfeng Zhang; Yuanzhi Shi; Lifeng Ma; Xiaoyun Yi; Jianyun Ruan
Journal:  PLoS One       Date:  2014-11-12       Impact factor: 3.240

7.  Cultivar-Specific Changes in Primary and Secondary Metabolites in Pak Choi (Brassica Rapa, Chinensis Group) by Methyl Jasmonate.

Authors:  Moo Jung Kim; Yu-Chun Chiu; Na Kyung Kim; Hye Min Park; Choong Hwan Lee; John A Juvik; Kang-Mo Ku
Journal:  Int J Mol Sci       Date:  2017-05-07       Impact factor: 5.923

8.  Transcriptomic and phytochemical analysis of the biosynthesis of characteristic constituents in tea (Camellia sinensis) compared with oil tea (Camellia oleifera).

Authors:  Yuling Tai; Chaoling Wei; Hua Yang; Liang Zhang; Qi Chen; Weiwei Deng; Shu Wei; Jing Zhang; Congbing Fang; Chitang Ho; Xiaochun Wan
Journal:  BMC Plant Biol       Date:  2015-08-07       Impact factor: 4.215

9.  De novo Sequencing of the Leaf Transcriptome Reveals Complex Light-Responsive Regulatory Networks in Camellia sinensis cv. Baijiguan.

Authors:  Quanjin Wu; Zhidan Chen; Weijiang Sun; Tingting Deng; Mingjie Chen
Journal:  Front Plant Sci       Date:  2016-03-21       Impact factor: 5.753

10.  Differential Metabolic Profiles during the Albescent Stages of 'Anji Baicha' (Camellia sinensis).

Authors:  Chun-Fang Li; Ming-Zhe Yao; Chun-Lei Ma; Jian-Qiang Ma; Ji-Qiang Jin; Liang Chen
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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