Ji Hyang-Gi, Lee Yeong-Ran, Lee Min-Seuk, Hwang Kyeong Hwan, Park Clara Yongjoo, Kim Eun-Hee, Park Jun Seong, Hong Young-Shick
Division of Food and Nutrition, Chonnam National University , Yongbong-ro, Buk-gu, Gwangju 500-757, Republic of Korea.
Applied Technology & Research Division, R&D Center, AmorePacific Corporation , Yongin-si, Gyeonggi-do 446-729, Republic of Korea.
J Agric Food Chem. 2018 Feb 28;66(8):1889-1897. doi: 10.1021/acs.jafc.7b04768. Epub 2018 Feb 20.
With the increase of tea (Camellia sinensis) consumption, its chemical or metabolite compositions play a crucial role in the determination of tea quality. In general, metabolite compositions of fresh tea leaves including shoots depend on plucking seasons and tea cultivators. Therefore, choosing a specific plucking time of tea leaves can provide use-specified tea products. Artificial control of tea growing, typically shade treatments, can lead to significant changes of the tea metabolite compositions. However, metabolic characteristics of tea grown under various shade treatment conditions remain unclear. Therefore, the objective of the current study was to explore effects of various shade conditions on metabolite compositions of tea through a H NMR-based metabolomics approach. It was noteworthy that the levels of catechins and their derivatives were only influenced at the initial time of shade treatments while most amino acids were upregulated as amounts of shade and periods were increased: that is, the levels of alanine, asparagine, aspartate, isoleucine, threonine, leucine, and valine in fresh tea leaves were conspicuously elevated when shade levels were raised from 90% to 100% and when period of shade treatments was increased by 20 days. Such increased synthesis of amino acids along with large reductions of glucose level reflected carbon starvation under the dark conditions, indicating remarkable proteolysis in the chloroplast of tea leaves. This study provides important information about making amino acid-enhanced tea products based on global characteristics of diverse tea leaf metabolites induced by various shade treatment conditions.
随着茶叶(茶树)消费量的增加,其化学或代谢物组成在茶叶品质的判定中起着至关重要的作用。一般来说,包括新梢在内的鲜茶叶的代谢物组成取决于采摘季节和茶树品种。因此,选择特定的茶叶采摘时间可以提供特定用途的茶叶产品。人工控制茶叶生长,通常是遮荫处理,会导致茶叶代谢物组成发生显著变化。然而,在各种遮荫处理条件下生长的茶叶的代谢特征仍不清楚。因此,本研究的目的是通过基于核磁共振氢谱的代谢组学方法,探索各种遮荫条件对茶叶代谢物组成的影响。值得注意的是,儿茶素及其衍生物的含量仅在遮荫处理初期受到影响,而随着遮荫量和遮荫时间的增加,大多数氨基酸的含量上调:也就是说,当遮荫水平从90%提高到100%以及遮荫处理时间增加20天时,鲜茶叶中丙氨酸、天冬酰胺、天冬氨酸、异亮氨酸、苏氨酸、亮氨酸和缬氨酸的含量显著升高。氨基酸合成的增加以及葡萄糖水平的大幅降低反映了黑暗条件下的碳饥饿,表明茶叶叶绿体中发生了显著的蛋白质水解。本研究基于各种遮荫处理条件诱导的不同茶叶代谢物的整体特征,为生产富含氨基酸的茶叶产品提供了重要信息。