Harnessing functional metabolite diversity in tea plant germplasm: from metabolic signatures to quality-oriented breeding

Tea plant (<italic>Camellia sinensis</italic>) exhibits remarkable metabolic diversity in their specialized secondary metabolites, such as catechins, theanine, caffeine, and volatile compounds, defining both ecological adaptability and therapeutic value. Environmental factors and phytohormonal regulation are proven as critical modulators of secondary metabolism, with certain signaling pathways coordinating stress-responsive metabolite production through transcriptional and post-transcriptional mechanisms. The development of chromosome-scale genome assemblies, pangenome, and 3D chromatin map resources has revealed extensive genomic variations that lead to metabolic distinctions. While metabolomics approaches including nuclear magnetic resonance, mass spectrometry, and emerging ion mobility techniques have enabled comprehensive profiling of flavor-related compounds, challenges persist in linking metabolic signatures to genetic determinants across diverse germplasms. Population genomics studies through metabolic genome-wide association have identified key quantitative trait loci and allelic variants governing metabolite accumulation. This review integrates recent metabolomic and genomic advancements to construct a roadmap for harnessing tea's functional metabolite diversity through germplasm resources, elucidating the biochemical and genetic foundations of quality traits to advance precision breeding applications.

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Publication Details

Journal
Beverage Plant Research
Published
2025-01-01
DOI
https://doi.org/10.48130/bpr-0025-0025
Citations
1
Primary Topic
Tea Polyphenols and Effects
Type
article
Field-Weighted Citation Impact
1.47

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article

Harnessing functional metabolite diversity in tea plant germplasm: from metabolic signatures to quality-oriented breeding

Jian‐Qiang Ma, Xuecheng Zhao, Xiaojun Li, Shouchuang Wang et al.
1 citations
Beverage Plant Research
Tea Polyphenols and Effects
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article

Harnessing functional metabolite diversity in tea plant germplasm: from metabolic signatures to quality-oriented breeding

Jian‐Qiang Ma, Xuecheng Zhao, Xiaojun Li, Shouchuang Wang, Yiming Liu, Shixuan Li, Xiaoying Xu
article en
1 citations

Abstract

Tea plant (<italic>Camellia sinensis</italic>) exhibits remarkable metabolic diversity in their specialized secondary metabolites, such as catechins, theanine, caffeine, and volatile compounds, defining both ecological adaptability and therapeutic value. Environmental factors and phytohormonal regulation are proven as critical modulators of secondary metabolism, with certain signaling pathways coordinating stress-responsive metabolite production through transcriptional and post-transcriptional mechanisms. The development of chromosome-scale genome assemblies, pangenome, and 3D chromatin map resources has revealed extensive genomic variations that lead to metabolic distinctions. While metabolomics approaches including nuclear magnetic resonance, mass spectrometry, and emerging ion mobility techniques have enabled comprehensive profiling of flavor-related compounds, challenges persist in linking metabolic signatures to genetic determinants across diverse germplasms. Population genomics studies through metabolic genome-wide association have identified key quantitative trait loci and allelic variants governing metabolite accumulation. This review integrates recent metabolomic and genomic advancements to construct a roadmap for harnessing tea's functional metabolite diversity through germplasm resources, elucidating the biochemical and genetic foundations of quality traits to advance precision breeding applications.

Beverage Plant ResearchVol. 5(1)
Yunnan Agricultural University (CN), Hainan University (CN), Chinese Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Institute of Special Animal and Plant Sciences (CN)
National Natural Science Foundation of China, Agricultural Science and Technology Innovation Program
Openalex Percentile: Top 14%
Tea Polyphenols and Effects
1.47
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