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Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions

Several metabolites define tea quality in new tea shoots composed of leaf and stem. To improve tea quality for breeding, it is important to understand the tissue-dependent genetic mechanisms and metabolic network responsible for the profile of tea quality-related metabolites. We analyzed the volatil...

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Autores principales: Yamashita, Hiroto, Katai, Hideyuki, Ohnishi, Toshiyuki, Morita, Akio, Panda, Sanjib Kumar, Ikka, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119633/
https://www.ncbi.nlm.nih.gov/pubmed/33996877
http://dx.doi.org/10.3389/fnut.2021.659807
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author Yamashita, Hiroto
Katai, Hideyuki
Ohnishi, Toshiyuki
Morita, Akio
Panda, Sanjib Kumar
Ikka, Takashi
author_facet Yamashita, Hiroto
Katai, Hideyuki
Ohnishi, Toshiyuki
Morita, Akio
Panda, Sanjib Kumar
Ikka, Takashi
author_sort Yamashita, Hiroto
collection PubMed
description Several metabolites define tea quality in new tea shoots composed of leaf and stem. To improve tea quality for breeding, it is important to understand the tissue-dependent genetic mechanisms and metabolic network responsible for the profile of tea quality-related metabolites. We analyzed the volatiles and specialized metabolites as the tea quality-related metabolites in leaves and stems of new shoots in 30 tea accessions to understand the tissue variation and network between tea quality-related metabolites. Our results provided the tissue-dependent variation network in the tea quality-related metabolites, including volatiles in new leaves and stems in tea accessions. Each volatile content in tea accessions showed the coefficient of variation ranging from 58.7 to 221.9% and 54.2 to 318.3% in new leaves and new stems, respectively. The accumulation pattern of tea quality-related metabolites in new leaves and stems varied depending on the accession. When comparing tea genetic populations, the profile of tea quality-related metabolites of new leaves, but not new stems, was the key to distinguishing tea genetic populations by chemical indicators. We described the network between tea quality-related metabolites, especially the dense network in new leaves. These results also will provide the key information for metabolic engineering and the selection of breeding materials in tea plants based on the tea quality-related metabolites and aid in understanding their molecular mechanisms and network of metabolic variation.
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spelling pubmed-81196332021-05-15 Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions Yamashita, Hiroto Katai, Hideyuki Ohnishi, Toshiyuki Morita, Akio Panda, Sanjib Kumar Ikka, Takashi Front Nutr Nutrition Several metabolites define tea quality in new tea shoots composed of leaf and stem. To improve tea quality for breeding, it is important to understand the tissue-dependent genetic mechanisms and metabolic network responsible for the profile of tea quality-related metabolites. We analyzed the volatiles and specialized metabolites as the tea quality-related metabolites in leaves and stems of new shoots in 30 tea accessions to understand the tissue variation and network between tea quality-related metabolites. Our results provided the tissue-dependent variation network in the tea quality-related metabolites, including volatiles in new leaves and stems in tea accessions. Each volatile content in tea accessions showed the coefficient of variation ranging from 58.7 to 221.9% and 54.2 to 318.3% in new leaves and new stems, respectively. The accumulation pattern of tea quality-related metabolites in new leaves and stems varied depending on the accession. When comparing tea genetic populations, the profile of tea quality-related metabolites of new leaves, but not new stems, was the key to distinguishing tea genetic populations by chemical indicators. We described the network between tea quality-related metabolites, especially the dense network in new leaves. These results also will provide the key information for metabolic engineering and the selection of breeding materials in tea plants based on the tea quality-related metabolites and aid in understanding their molecular mechanisms and network of metabolic variation. Frontiers Media S.A. 2021-04-30 /pmc/articles/PMC8119633/ /pubmed/33996877 http://dx.doi.org/10.3389/fnut.2021.659807 Text en Copyright © 2021 Yamashita, Katai, Ohnishi, Morita, Panda and Ikka. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Yamashita, Hiroto
Katai, Hideyuki
Ohnishi, Toshiyuki
Morita, Akio
Panda, Sanjib Kumar
Ikka, Takashi
Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title_full Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title_fullStr Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title_full_unstemmed Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title_short Tissue-Dependent Variation Profiles of Tea Quality-Related Metabolites in New Shoots of Tea Accessions
title_sort tissue-dependent variation profiles of tea quality-related metabolites in new shoots of tea accessions
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119633/
https://www.ncbi.nlm.nih.gov/pubmed/33996877
http://dx.doi.org/10.3389/fnut.2021.659807
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