您好，欢迎访问浙江省农业科学院 机构知识库！
浙江省农业科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives

文献类型： 外文期刊

作者： Jiang, Chen-Kai 1 ; Liu, Zhi-Long 3 ; Li, Xuan-Ye 1 ; Ercisli, Sezai 4 ; Ma, Jian-Qiang 1 ; Chen, Liang 1 ;

作者机构： 1.Chinese Acad Agr Sci, Tea Res Inst, Key Lab Tea Biol & Resources Utilizat, Minist Agr & Rural Affairs, Hangzhou, Peoples R China

2.Zhejiang Acad Agr Sci, State Key Lab Qual & Safety Agroprod, Hangzhou, Peoples R China

3.Lishui Acad Agr & Forestry Sci, Lishui, Peoples R China

4.Ataturk Univ, Fac Agr, Dept Hort, Erzurum, Turkey

关键词： correlation; fresh shoots; network; non-volatile metabolites; tea plant

期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：6.627； 五年影响因子：7.255 ）

ISSN： 1664-462X

年卷期： 2021 年 12 卷

页码：

收录情况： SCI

摘要： 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.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：浙江省农业科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台