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De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation

Tea plants are crops with economic, health and cultural value. Catechin, caffeine and theanine are the main secondary metabolites of taste. In the process of germplasm collection, we found a resource in the Sandu Aquatic Autonomous County of Guizhou (SDT) that possessed significantly different chara...

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Autores principales: Mi, Xiaozeng, Yang, Chun, Qiao, Dahe, Tang, Mengsha, Guo, Yan, Liang, Sihui, Li, Yan, Chen, Zhengwu, Chen, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097665/
https://www.ncbi.nlm.nih.gov/pubmed/37045909
http://dx.doi.org/10.1038/s41598-023-32435-5
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author Mi, Xiaozeng
Yang, Chun
Qiao, Dahe
Tang, Mengsha
Guo, Yan
Liang, Sihui
Li, Yan
Chen, Zhengwu
Chen, Juan
author_facet Mi, Xiaozeng
Yang, Chun
Qiao, Dahe
Tang, Mengsha
Guo, Yan
Liang, Sihui
Li, Yan
Chen, Zhengwu
Chen, Juan
author_sort Mi, Xiaozeng
collection PubMed
description Tea plants are crops with economic, health and cultural value. Catechin, caffeine and theanine are the main secondary metabolites of taste. In the process of germplasm collection, we found a resource in the Sandu Aquatic Autonomous County of Guizhou (SDT) that possessed significantly different characteristic metabolites compared with the cultivar ‘Qiancha 1’. SDT is rich in theobromine and theophylline, possesses low levels of (−)-epicatechin-3-gallate, (−)-epigallocatechin-3-gallate, and theanine content, and is almost free of caffeine. However, research on this tea resource is limited. Full-length transcriptome analysis was performed to investigate the transcriptome and gene expression of these metabolites. In total, 78,809 unique transcripts were obtained, of which 65,263 were complete coding sequences. RNA-seq revealed 3415 differentially expressed transcripts in the tender leaves of ‘Qiancha 1’ and ‘SDT’. Furthermore, 2665, 6231, and 2687 differentially expressed transcripts were found in different SDT tissues. These differentially expressed transcripts were enriched in flavonoid and amino acid metabolism processes. Co-expression network analysis identified five modules associated with metabolites and found that genes of caffeine synthase (TCS) may be responsible for the low caffeine content in SDT. Phenylalanine ammonia lyase (PAL), glutamine synthetase (GS), glutamate synthase (GOGAT), and arginine decarboxylase (ADC) play important roles in the synthesis of catechin and theanine. In addition, we identified that ethylene resposive factor (ERF) and WRKY transcription factors may be involved in theanine biosynthesis. Overall, our study provides candidate genes to improve understanding of the synthesis mechanisms of these metabolites and provides a basis for molecular breeding of tea plant.
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spelling pubmed-100976652023-04-14 De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation Mi, Xiaozeng Yang, Chun Qiao, Dahe Tang, Mengsha Guo, Yan Liang, Sihui Li, Yan Chen, Zhengwu Chen, Juan Sci Rep Article Tea plants are crops with economic, health and cultural value. Catechin, caffeine and theanine are the main secondary metabolites of taste. In the process of germplasm collection, we found a resource in the Sandu Aquatic Autonomous County of Guizhou (SDT) that possessed significantly different characteristic metabolites compared with the cultivar ‘Qiancha 1’. SDT is rich in theobromine and theophylline, possesses low levels of (−)-epicatechin-3-gallate, (−)-epigallocatechin-3-gallate, and theanine content, and is almost free of caffeine. However, research on this tea resource is limited. Full-length transcriptome analysis was performed to investigate the transcriptome and gene expression of these metabolites. In total, 78,809 unique transcripts were obtained, of which 65,263 were complete coding sequences. RNA-seq revealed 3415 differentially expressed transcripts in the tender leaves of ‘Qiancha 1’ and ‘SDT’. Furthermore, 2665, 6231, and 2687 differentially expressed transcripts were found in different SDT tissues. These differentially expressed transcripts were enriched in flavonoid and amino acid metabolism processes. Co-expression network analysis identified five modules associated with metabolites and found that genes of caffeine synthase (TCS) may be responsible for the low caffeine content in SDT. Phenylalanine ammonia lyase (PAL), glutamine synthetase (GS), glutamate synthase (GOGAT), and arginine decarboxylase (ADC) play important roles in the synthesis of catechin and theanine. In addition, we identified that ethylene resposive factor (ERF) and WRKY transcription factors may be involved in theanine biosynthesis. Overall, our study provides candidate genes to improve understanding of the synthesis mechanisms of these metabolites and provides a basis for molecular breeding of tea plant. Nature Publishing Group UK 2023-04-12 /pmc/articles/PMC10097665/ /pubmed/37045909 http://dx.doi.org/10.1038/s41598-023-32435-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mi, Xiaozeng
Yang, Chun
Qiao, Dahe
Tang, Mengsha
Guo, Yan
Liang, Sihui
Li, Yan
Chen, Zhengwu
Chen, Juan
De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title_full De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title_fullStr De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title_full_unstemmed De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title_short De novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
title_sort de novo full length transcriptome analysis of a naturally caffeine-free tea plant reveals specificity in secondary metabolic regulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097665/
https://www.ncbi.nlm.nih.gov/pubmed/37045909
http://dx.doi.org/10.1038/s41598-023-32435-5
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