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Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives

There are numerous non-volatile metabolites in the fresh shoots of tea plants. However, we know little about the complex relationship between the content of these metabolites and their gene expression levels. In investigating this, this study involved non-volatile metabolites from 68 accessions of t...

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Autores principales: Jiang, Chen-Kai, Liu, Zhi-Long, Li, Xuan-Ye, Ercisli, Sezai, Ma, Jian-Qiang, Chen, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519607/
https://www.ncbi.nlm.nih.gov/pubmed/34659317
http://dx.doi.org/10.3389/fpls.2021.746972
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author Jiang, Chen-Kai
Liu, Zhi-Long
Li, Xuan-Ye
Ercisli, Sezai
Ma, Jian-Qiang
Chen, Liang
author_facet Jiang, Chen-Kai
Liu, Zhi-Long
Li, Xuan-Ye
Ercisli, Sezai
Ma, Jian-Qiang
Chen, Liang
author_sort Jiang, Chen-Kai
collection PubMed
description There are numerous non-volatile metabolites in the fresh shoots of tea plants. However, we know little about the complex relationship between the content of these metabolites and their gene expression levels. In investigating this, this study involved non-volatile metabolites from 68 accessions of tea plants that were detected and identified using untargeted metabolomics. The tea accessions were divided into three groups from the results of a principal component analysis based on the relative content of the metabolites. There were differences in variability between the primary and secondary metabolites. Furthermore, correlations among genes, gene metabolites, and metabolites were conducted based on Pearson's correlation coefficient (PCC) values. This study offered several significant insights into the co-current network of genes and metabolites in the global genetic background. Thus, the study is useful for providing insights into the regulatory relationship of the genetic basis for predominant metabolites in fresh tea shoots.
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spelling pubmed-85196072021-10-16 Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives Jiang, Chen-Kai Liu, Zhi-Long Li, Xuan-Ye Ercisli, Sezai Ma, Jian-Qiang Chen, Liang Front Plant Sci Plant Science There are numerous non-volatile metabolites in the fresh shoots of tea plants. However, we know little about the complex relationship between the content of these metabolites and their gene expression levels. In investigating this, this study involved non-volatile metabolites from 68 accessions of tea plants that were detected and identified using untargeted metabolomics. The tea accessions were divided into three groups from the results of a principal component analysis based on the relative content of the metabolites. There were differences in variability between the primary and secondary metabolites. Furthermore, correlations among genes, gene metabolites, and metabolites were conducted based on Pearson's correlation coefficient (PCC) values. This study offered several significant insights into the co-current network of genes and metabolites in the global genetic background. Thus, the study is useful for providing insights into the regulatory relationship of the genetic basis for predominant metabolites in fresh tea shoots. Frontiers Media S.A. 2021-10-01 /pmc/articles/PMC8519607/ /pubmed/34659317 http://dx.doi.org/10.3389/fpls.2021.746972 Text en Copyright © 2021 Jiang, Liu, Li, Ercisli, Ma and Chen. 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 Plant Science
Jiang, Chen-Kai
Liu, Zhi-Long
Li, Xuan-Ye
Ercisli, Sezai
Ma, Jian-Qiang
Chen, Liang
Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title_full Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title_fullStr Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title_full_unstemmed Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title_short Non-Volatile Metabolic Profiling and Regulatory Network Analysis in Fresh Shoots of Tea Plant and Its Wild Relatives
title_sort non-volatile metabolic profiling and regulatory network analysis in fresh shoots of tea plant and its wild relatives
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519607/
https://www.ncbi.nlm.nih.gov/pubmed/34659317
http://dx.doi.org/10.3389/fpls.2021.746972
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