Regulation of biosynthesis of the main flavor-contributing metabolites in tea plant (
            <i>Camellia sinensis</i>
            ): A review

Zhao, Sheng; Cheng, Haiyan; Xu, Ping; Wang, Yuefei

doi:10.1080/10408398.2022.2078787

Cited by 19 publications

(12 citation statements)

References 146 publications

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“…Studies have shown that TFs are positively or negatively involved in the transcriptional control of pigments and main taste compound biosynthesis in tea plants (Lin, Shao, et al, 2022; Mei et al, 2021; Zhao et al, 2022). The expression patterns of two CsMYBs regulating theanine biosynthesis varied in ‘BJ’ (a normal green cultivar) and ‘BY’ (an albino tea cultivar) (Wen et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…Theanine is synthesised by theanine synthetase from ethylamine and glutamic acid in tea plants (Chen et al, 2021; Lin, Shao, et al, 2022). Many studies have demonstrated that differential accumulation of the main taste components in tea plants is regulated by several factors, including variety (Chen et al, 2022; Zhao et al, 2022), tissue (Liu, Wu, et al, 2017), light (Shao et al, 2022), and temperature (Zeng et al, 2019). The biosynthetic mechanisms of these metabolites have been partially revealed through transcriptomics and metabolomics (Mei et al, 2021; Zhang et al, 2022; Zheng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Metabolomic and transcriptomic analyses reveal the biosynthetic mechanisms of pigments and main taste compounds in an albino tea cultivar

Liu

et al. 2023

Physiologia Plantarum

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Significant variations in leaf colours, pigment contents, and main taste compounds in young shoots from albino tea plants (Camellia sinensis) influence tea flavour. However, the seasonal metabolic pattern and molecular regulatory mechanism of these metabolites remain largely elusive. Herein, we conducted morphological, biochemical, metabolomic and transcriptomic analyses between an albino tea cultivar ‘Zhonghuang 3’ (‘ZH3’) and a green strain ‘Tai cha 15’ (‘TC15’) at four‐time points (April 12, May 31, July 14, and August 17) to elucidate dynamic changes in these compounds and predict the relationships among transcription factors (TFs), target genes (TGs), and metabolite abundance. Generally, leaf colours and pigment contents were significantly lighter and lower, respectively, in ‘ZH3’ than in ‘TC15’ from spring to summer, but were subsequently similar. Compared to ‘TC15’, ‘ZH3’ had a lower and broader phenol/ammonia ratio as well as stable caffeine content and showed more significantly different metabolites and differentially expressed genes. The relationship between pigments, main taste compounds, and their biosynthetic genes, as well as TFs and their TGs, had genetic specificity. These results suggested that the biosynthesis of these compounds was probably both season‐ and variety‐dependent. In total, 12 models of the TF‐TG‐metabolite regulatory network were proposed to uncover the biosynthetic and regulatory mechanisms of these metabolites in tea plants. A high correlation was observed between some structural genes and TFs with the accumulation of these metabolites. These findings provide novel insights into the regulatory mechanisms underlying accumulation of pigments and main taste compounds in tea plants.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolomic and transcriptomic analyses reveal the biosynthetic mechanisms of pigments and main taste compounds in an albino tea cultivar

Liu

et al. 2023

Physiologia Plantarum

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“…As one of the most popular non-alcoholic beverages worldwide, tea contains a wide range of secondary metabolites beneficial to human health, such as polyphenols, alkaloids, and amino acids (Wang et al, 2022). With the unique qualities of tea plants ( Camellia sinensis ) attracting an increasing number of researchers to study various aspects of tea plants, such as secondary metabolites and phenotypic variations (Zhao et al, 2022; Wang et al, 2022; Liao et al, 2022), the omics dataset of Camellia sinensis has also become increasingly extensive. This has led to the use of systems biology approaches on sequencing data hosted on public databases (Tai et al, 2018; Xia et al, 2020; Zhao et al, 2021), such as gene co-expression analysis, becoming a trend in analyzing omics data of Camellia sinensis , providing tea researchers with a more macroscopic and comprehensive perspective.…”

Section: Introductionmentioning

confidence: 99%

“…The tea plant ( Camellia sinensis ) possesses a diverse range of germplasm resources (Chen et al, 2007). Different cultivars of Camellia sinensis are each prized for certain desirable qualities in their own right and exhibit significant differences in plant morphology, leaf characteristics, growth habits, adaptability, and secondary metabolites (Chen et al, 2012; Zhao et al, 2022). For instance, temperature-sensitive albino cultivar “Anji Baicha” and light-sensitive yellowing cultivar “Huangjinya” have attracted much attention due to their unique leaf color and secondary metabolite content (Zhang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Comparative transcriptome database forCamellia sinensisreveals genes important for flavonoid synthesis in tea plants

Zheng,

Mohd Ali,

Lim

et al. 2024

Preprint

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Tea, as one of the most popular beverages in the world, possesses a plethora of secondary metabolites that are beneficial to human health. Tea plants (Camellia sinensis) exhibit rich genetic diversity, where different cultivars can vary significantly in terms of yield, adaptability, morphology, and composition of secondary metabolites. Many tea cultivars have been the subject of much research interest, which have led to the accumulation of publicly available RNA-seq data. As such, it has become possible to systematically summarize the characteristics of different cultivars at the transcriptomic level, identify valuable functional genes, and infer gene functions through co-expression analysis. Here, the transcriptomes of 9 cultivars of Camellia sinensis were assembled and combined with the coding sequences of 13 cultivars of Camellia sinensis to study the differences and similarities of gene expression and biological functions among cultivars. To give access to this data, we present TeaNekT (https://teanekt.sbs.ntu.edu.sg/), a web resource that provides user-friendly tools and interactive visualizations that facilitates the prediction of gene functions of various tea cultivars. We used TeaNekT to perform cross-cultivar comparison of co-expressed gene neighborhoods, clusters, and tissue-specific gene expression. We show that the members of the chalcone synthase (CHS) gene family, important for flavonoid synthesis, exhibit the highest expression variability, specific expression in leaves and buds, and significant modulation by methyl jasmonate (MeJA) treatment. By using comparative co-expression tools of TeaNekT, we identified multiple conserved genes involved in flavonoid biosynthesis among cultivars that have not been previously studied, warranting further research.

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“…As such, the tea plant ( Camellia sinensis ) possesses a diverse range of germplasm resources (Chen et al, 2007). Different cultivars of Camellia sinensis are each prized for certain desirable qualities in their own right and exhibit significant differences in plant morphology, leaf characteristics, growth habits, adaptability, and secondary metabolites (Chen et al, 2012; Zhao et al, 2022). Consequently, said tea cultivars have garnered much research interest in the post-genomic era to understand and improve tea traits.…”

Section: Introductionmentioning

confidence: 99%

A method for mining condition-specific co-expressed genes inCamellia sinensisbased on K-means clustering: A case study of “Anji Baicha” tea cultivar

Zheng,

Lim,

Mutwil

et al. 2024

Preprint

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As one of the world's most important beverage crops, tea plants (Camellia sinensis) are renowned for their unique flavors and numerous beneficial secondary metabolites, attracting researchers to investigate the formation of tea quality. With the increasing availability of transcriptome data on tea plants in public databases, conducting large-scale co-expression analyses has become feasible to meet the demand for functional characterization of tea plant genes. However, as the multidimensional noise increases, larger-scale co-expression analyses are not always effective. Analyzing a subset of samples generated by effectively downsampling and reorganizing the global sample set often leads to more accurate results in co-expression analysis. Meanwhile, global-based co-expression analyses are more likely to overlook condition-specific gene interactions, which may be more important and worthy of exploration and research. Here, we employed the k-means clustering method to organize and classify the global samples of tea plants, resulting in clustered samples. Metadata annotations were then performed on these clustered samples to determine the "conditions" represented by each cluster. Subsequently, we conducted gene co-expression network analysis (WGCNA) separately on the global samples and the clustered samples, resulting in global modules and cluster-specific modules. Comparative analyses of global modules and cluster-specific modules have demonstrated that cluster-specific modules exhibit higher accuracy in co-expression analysis. To measure the degree of condition specificity of genes within condition-specific clusters, we introduced the correlation difference value (CDV). By incorporating the CDV into co-expression analyses, we can assess the condition specificity of genes. This approach proved instrumental in identifying a PPR-type RNA editing factor gene (CWM1) that specifically functions during the bud-prealbinism stage of the Camellia sinensis cultivar "Anji Baicha". We hypothesize that this gene may be upregulated and play a role in inhibiting chloroplast development, ultimately resulting in albino phenotypes in "Anji Baicha".

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Regulation of biosynthesis of the main flavor-contributing metabolites in tea plant ( Camellia sinensis ): A review

Cited by 19 publications

References 146 publications

Metabolomic and transcriptomic analyses reveal the biosynthetic mechanisms of pigments and main taste compounds in an albino tea cultivar

Metabolomic and transcriptomic analyses reveal the biosynthetic mechanisms of pigments and main taste compounds in an albino tea cultivar

Comparative transcriptome database forCamellia sinensisreveals genes important for flavonoid synthesis in tea plants

A method for mining condition-specific co-expressed genes inCamellia sinensisbased on K-means clustering: A case study of “Anji Baicha” tea cultivar

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