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Metabolomic profiling of developing perilla leaves reveals the best harvest time
Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and gas chromatography-mass spectrometry (GC-MS) were applied to analyze metabolites in perilla leaves (PLs) during its developmental process. In total, 118 metabolites were identified, including volatile and non-volatile com...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748349/ https://www.ncbi.nlm.nih.gov/pubmed/36531401 http://dx.doi.org/10.3389/fpls.2022.989755 |
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author | Chen, Jiabao Guo, Long Yang, Guiya Yang, Aitong Zheng, Yuguang Wang, Lei |
author_facet | Chen, Jiabao Guo, Long Yang, Guiya Yang, Aitong Zheng, Yuguang Wang, Lei |
author_sort | Chen, Jiabao |
collection | PubMed |
description | Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and gas chromatography-mass spectrometry (GC-MS) were applied to analyze metabolites in perilla leaves (PLs) during its developmental process. In total, 118 metabolites were identified, including volatile and non-volatile compounds, such as terpenoids, sugars, amino acids, organic acids, fatty acids, phenolic acids, flavonoids, and others. Principal component analysis (PCA) indicated great variations of metabolites during PLs development. Clustering analysis (CA) clarified the dynamic patterns of the metabolites. The heatmap of CA showed that most of the detected metabolites were significantly accumulated at stage 4 which is the pre anthesis period, and declined afterwards. The results of the present study provide a comprehensive overview of the metabolic dynamics of developing PLs which suggested that pre anthesis period is the best harvest time for PLs. |
format | Online Article Text |
id | pubmed-9748349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97483492022-12-15 Metabolomic profiling of developing perilla leaves reveals the best harvest time Chen, Jiabao Guo, Long Yang, Guiya Yang, Aitong Zheng, Yuguang Wang, Lei Front Plant Sci Plant Science Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) and gas chromatography-mass spectrometry (GC-MS) were applied to analyze metabolites in perilla leaves (PLs) during its developmental process. In total, 118 metabolites were identified, including volatile and non-volatile compounds, such as terpenoids, sugars, amino acids, organic acids, fatty acids, phenolic acids, flavonoids, and others. Principal component analysis (PCA) indicated great variations of metabolites during PLs development. Clustering analysis (CA) clarified the dynamic patterns of the metabolites. The heatmap of CA showed that most of the detected metabolites were significantly accumulated at stage 4 which is the pre anthesis period, and declined afterwards. The results of the present study provide a comprehensive overview of the metabolic dynamics of developing PLs which suggested that pre anthesis period is the best harvest time for PLs. Frontiers Media S.A. 2022-11-30 /pmc/articles/PMC9748349/ /pubmed/36531401 http://dx.doi.org/10.3389/fpls.2022.989755 Text en Copyright © 2022 Chen, Guo, Yang, Yang, Zheng and Wang 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 Chen, Jiabao Guo, Long Yang, Guiya Yang, Aitong Zheng, Yuguang Wang, Lei Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title | Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title_full | Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title_fullStr | Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title_full_unstemmed | Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title_short | Metabolomic profiling of developing perilla leaves reveals the best harvest time |
title_sort | metabolomic profiling of developing perilla leaves reveals the best harvest time |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748349/ https://www.ncbi.nlm.nih.gov/pubmed/36531401 http://dx.doi.org/10.3389/fpls.2022.989755 |
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