Cargando…

Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan

The non-volatile and volatile metabolites in tea confer the taste and odor characteristics of tea fusion, as well as shape the chemical base for tea quality. To date, it remains largely elusive whether there are metabolic crosstalks among non-volatile metabolites and volatile metabolites in the tea...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Mingjie, Kong, Xiangrui, Zhang, Yi, Wang, Shiya, Zhou, Huiwen, Fang, Dongsheng, Yue, Wenjie, Chen, Changsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572950/
https://www.ncbi.nlm.nih.gov/pubmed/36235422
http://dx.doi.org/10.3390/plants11192557
_version_ 1784810744889475072
author Chen, Mingjie
Kong, Xiangrui
Zhang, Yi
Wang, Shiya
Zhou, Huiwen
Fang, Dongsheng
Yue, Wenjie
Chen, Changsong
author_facet Chen, Mingjie
Kong, Xiangrui
Zhang, Yi
Wang, Shiya
Zhou, Huiwen
Fang, Dongsheng
Yue, Wenjie
Chen, Changsong
author_sort Chen, Mingjie
collection PubMed
description The non-volatile and volatile metabolites in tea confer the taste and odor characteristics of tea fusion, as well as shape the chemical base for tea quality. To date, it remains largely elusive whether there are metabolic crosstalks among non-volatile metabolites and volatile metabolites in the tea tree. Here, we generated an F1 half-sib population by using an albino cultivar of Camellia sinensis cv Baijiguan as the maternal parent, and then we quantified the non-volatile metabolites and volatile metabolites from individual half-sibs. We found that the EGC and EGCG contents of the albino half-sibs were significantly lower than those of the green half-sibs, while no significant differences were observed in total amino acids, caffeine, and other catechin types between these two groups. The phenylpropanoid pathway and the MEP pathway are the dominant routes for volatile synthesis in fresh tea leaves, followed by the MVA pathway and the fatty acid-derivative pathway. The total volatile contents derived from individual pathways showed large variations among half-sibs, there were no significant differences between the albino half-sibs and the green half-sibs. We performed a comprehensive correlation analysis, including correlations among non-volatile metabolites, between volatile synthesis pathways and non-volatile metabolites, and among the volatiles derived from same synthesis pathway, and we identified several significant positive or negative correlations. Our data suggest that the synthesis of non-volatile and volatile metabolites is potentially connected through shared intermediates; feedback inhibition, activation, or competition for common intermediates among branched pathways may co-exist; and cross-pathway activation or inhibition, as well as metabolome channeling, were also implicated. These multiple metabolic regulation modes could provide metabolic plasticity to direct carbon flux and lead to diverse metabolome among Baijiguan half-sibs. This study provides an essential knowledge base for rational tea germplasm improvements.
format Online
Article
Text
id pubmed-9572950
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95729502022-10-17 Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan Chen, Mingjie Kong, Xiangrui Zhang, Yi Wang, Shiya Zhou, Huiwen Fang, Dongsheng Yue, Wenjie Chen, Changsong Plants (Basel) Article The non-volatile and volatile metabolites in tea confer the taste and odor characteristics of tea fusion, as well as shape the chemical base for tea quality. To date, it remains largely elusive whether there are metabolic crosstalks among non-volatile metabolites and volatile metabolites in the tea tree. Here, we generated an F1 half-sib population by using an albino cultivar of Camellia sinensis cv Baijiguan as the maternal parent, and then we quantified the non-volatile metabolites and volatile metabolites from individual half-sibs. We found that the EGC and EGCG contents of the albino half-sibs were significantly lower than those of the green half-sibs, while no significant differences were observed in total amino acids, caffeine, and other catechin types between these two groups. The phenylpropanoid pathway and the MEP pathway are the dominant routes for volatile synthesis in fresh tea leaves, followed by the MVA pathway and the fatty acid-derivative pathway. The total volatile contents derived from individual pathways showed large variations among half-sibs, there were no significant differences between the albino half-sibs and the green half-sibs. We performed a comprehensive correlation analysis, including correlations among non-volatile metabolites, between volatile synthesis pathways and non-volatile metabolites, and among the volatiles derived from same synthesis pathway, and we identified several significant positive or negative correlations. Our data suggest that the synthesis of non-volatile and volatile metabolites is potentially connected through shared intermediates; feedback inhibition, activation, or competition for common intermediates among branched pathways may co-exist; and cross-pathway activation or inhibition, as well as metabolome channeling, were also implicated. These multiple metabolic regulation modes could provide metabolic plasticity to direct carbon flux and lead to diverse metabolome among Baijiguan half-sibs. This study provides an essential knowledge base for rational tea germplasm improvements. MDPI 2022-09-28 /pmc/articles/PMC9572950/ /pubmed/36235422 http://dx.doi.org/10.3390/plants11192557 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Mingjie
Kong, Xiangrui
Zhang, Yi
Wang, Shiya
Zhou, Huiwen
Fang, Dongsheng
Yue, Wenjie
Chen, Changsong
Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title_full Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title_fullStr Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title_full_unstemmed Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title_short Metabolomic Profiling in Combination with Data Association Analysis Provide Insights about Potential Metabolic Regulation Networks among Non-Volatile and Volatile Metabolites in Camellia sinensis cv Baijiguan
title_sort metabolomic profiling in combination with data association analysis provide insights about potential metabolic regulation networks among non-volatile and volatile metabolites in camellia sinensis cv baijiguan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572950/
https://www.ncbi.nlm.nih.gov/pubmed/36235422
http://dx.doi.org/10.3390/plants11192557
work_keys_str_mv AT chenmingjie metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT kongxiangrui metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT zhangyi metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT wangshiya metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT zhouhuiwen metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT fangdongsheng metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT yuewenjie metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan
AT chenchangsong metabolomicprofilingincombinationwithdataassociationanalysisprovideinsightsaboutpotentialmetabolicregulationnetworksamongnonvolatileandvolatilemetabolitesincamelliasinensiscvbaijiguan