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Untargeted Metabolomics and Transcriptomics Reveal the Mechanism of Metabolite Differences in Spring Tender Shoots of Tea Plants of Different Ages

Overview
Journal Foods
Specialty Biotechnology
Date 2022 Aug 12
PMID 35954069
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Abstract

The metabolites in the tender shoots of the tea plant are the material basis for the determination of tea quality. The composition and abundance of these metabolites are affected by many key factors, and the tea plant's age is one of them. However, the effect of plant age on the tender shoot metabolites of tea cultivars of different genotypes is poorly understood. Therefore, we used a combination of untargeted metabolomics and transcriptomics to analyze the differential mechanism behind the differences in the metabolites of the spring tender shoots of 7- and 40-year-old tea plants of two tea cultivars of different genotypes. We found that plant age could significantly change the metabolites in the spring tender shoots of tea plants and that flavonoids, and amino acids and their derivatives, were predominant among the differential metabolites. The quantities of most flavonoids in the aged tea plants of different genotypes were upregulated, which was caused by the upregulated expression of differential genes in the flavonoid biosynthesis pathway. We further discovered that 11 key structural genes play key regulatory roles in the changes in the flavonoid contents of tea plants of different plant ages. However, the influence of plant age on amino acids and their derivatives might be cultivar-specific. By characterizing and evaluating the quality-related metabolites of tea cultivars of two different genotypes at different plant ages, we found that whether an old tea plant (40 years old) can produce high-quality tea is related to the genotype of the tea plant.

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References
1.
Zhang Q, Liu M, Ruan J . Integrated Transcriptome and Metabolic Analyses Reveals Novel Insights into Free Amino Acid Metabolism in Tea Cultivar. Front Plant Sci. 2017; 8:291. PMC: 5337497. DOI: 10.3389/fpls.2017.00291. View

2.
Zhu C, Zhang S, Zhou C, Chen L, Zaripov T, Zhan D . Integrated Transcriptome, microRNA, and Phytochemical Analyses Reveal Roles of Phytohormone Signal Transduction and ABC Transporters in Flavor Formation of Oolong Tea () during Solar Withering. J Agric Food Chem. 2020; 68(45):12749-12767. DOI: 10.1021/acs.jafc.0c05750. View

3.
Shi J, Wang J, Lv H, Peng Q, Schreiner M, Baldermann S . Integrated proteomic and metabolomic analyses reveal the importance of aroma precursor accumulation and storage in methyl jasmonate-primed tea leaves. Hortic Res. 2021; 8(1):95. PMC: 8087812. DOI: 10.1038/s41438-021-00528-9. View

4.
Wang Y, Zheng P, Liu P, Song X, Guo F, Li Y . Novel insight into the role of withering process in characteristic flavor formation of teas using transcriptome analysis and metabolite profiling. Food Chem. 2018; 272:313-322. DOI: 10.1016/j.foodchem.2018.08.013. View

5.
Zhao J, Li P, Xia T, Wan X . Exploring plant metabolic genomics: chemical diversity, metabolic complexity in the biosynthesis and transport of specialized metabolites with the tea plant as a model. Crit Rev Biotechnol. 2020; 40(5):667-688. DOI: 10.1080/07388551.2020.1752617. View