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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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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. |
format | Online Article Text |
id | pubmed-8519607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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