Yuexin Li¹ , Ying Zhu³ , Yichen Zhao²

1 Guizhou Tea Research Institute / Plant Conservation & Breeding Technology Center, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, Guizhou, China
2 Key Laboratory of Plant Resources Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Tea Sciences, Guizhou University, Guiyang, 550025, Guizhou, China
3 Guizhou Plant Conservation & Breeding Technology Center and Guizhou Key Laboratory of Agricultural Biotechnology, Institute of Biotechnology, Guizhou Academy of Agricultural Sciences, Guiyang, 550006, Guizhou, China
Author    Correspondence author
Journal of Tea Science Research, 2024, Vol. 14, No. 3   doi: 10.5376/jtsr.2024.14.0013
Received: 20 Mar., 2024    Accepted: 25 Apr., 2024    Published: 12 May, 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Li Y.X., Zhu Y., and Zhao Y.C., 2024, Integrative omics: metabolomics and transcriptomics in tea research, Journal of Tea Science Research, 14(3): 134-147 (doi: 10.5376/jtsr.2024.14.0013)

This study explores the integrated application of metabolomics and transcriptomics in tea research, providing a comprehensive overview of how these omics technologies advance the understanding of tea plant biology, development, and stress responses. Through an analysis of extensive research, the study highlights significant discoveries in the biosynthesis of key metabolites such as catechins and theaflavins, which are crucial for the quality and health benefits of tea. The integration of metabolomics and transcriptomics offers new perspectives on revealing stress response genes and metabolic pathways, contributing to the development of stress-resistant tea plant varieties. This study underscores the innovative potential of omics technologies in tea research and development, providing unique insights and strategies for future research directions and practical applications in the field.

Tea (Camellia sinensis); Metabolomics; Transcriptomics; Integrative omics; Gene-metabolite networks