Jiang Chen-Kai, Liu Zhi-Long, Li Xuan-Ye, Ercisli Sezai, Ma Jian-Qiang, Chen Liang
Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture and Rural Affairs, Tea Research Institute of the Chinese Academy of Agricultural Sciences, Hangzhou, China.
State Key Laboratory for Quality and Safety of Agro-Products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Front Plant Sci. 2021 Oct 1;12:746972. doi: 10.3389/fpls.2021.746972. eCollection 2021.
There are numerous non-volatile metabolites in the fresh shoots of tea plants. However, we know little about the complex relationship between the content of these metabolites and their gene expression levels. In investigating this, this study involved non-volatile metabolites from 68 accessions of tea plants that were detected and identified using untargeted metabolomics. The tea accessions were divided into three groups from the results of a principal component analysis based on the relative content of the metabolites. There were differences in variability between the primary and secondary metabolites. Furthermore, correlations among genes, gene metabolites, and metabolites were conducted based on Pearson's correlation coefficient (PCC) values. This study offered several significant insights into the co-current network of genes and metabolites in the global genetic background. Thus, the study is useful for providing insights into the regulatory relationship of the genetic basis for predominant metabolites in fresh tea shoots.
茶树鲜叶中有大量非挥发性代谢产物。然而,我们对这些代谢产物的含量与其基因表达水平之间的复杂关系知之甚少。在对此进行研究时,本研究涉及对68份茶树材料的非挥发性代谢产物进行检测和鉴定,采用非靶向代谢组学方法。根据代谢产物的相对含量,通过主成分分析结果将茶树材料分为三组。初生代谢产物和次生代谢产物在变异性上存在差异。此外,基于皮尔逊相关系数(PCC)值对基因、基因-代谢产物和代谢产物之间的相关性进行了分析。本研究为全球遗传背景下基因和代谢产物的共现网络提供了几个重要见解。因此,该研究有助于深入了解鲜茶叶中主要代谢产物遗传基础的调控关系。