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Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities

Chemotaxonomic metabolite profiling of 62 indigenous Korean plant species was performed by ultrahigh performance liquid chromatography (UHPLC)-linear trap quadrupole-ion trap (LTQ-IT) mass spectrometry/mass spectrometry (MS/MS) combined with multivariate statistical analysis. In partial least square...

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Autores principales: Lee, Sarah, Oh, Dong-Gu, Lee, Sunmin, Kim, Ga Ryun, Lee, Jong Seok, Son, Youn Kyoung, Bae, Chang-Hwan, Yeo, Joohong, Lee, Choong Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332367/
https://www.ncbi.nlm.nih.gov/pubmed/26540030
http://dx.doi.org/10.3390/molecules201119652
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author Lee, Sarah
Oh, Dong-Gu
Lee, Sunmin
Kim, Ga Ryun
Lee, Jong Seok
Son, Youn Kyoung
Bae, Chang-Hwan
Yeo, Joohong
Lee, Choong Hwan
author_facet Lee, Sarah
Oh, Dong-Gu
Lee, Sunmin
Kim, Ga Ryun
Lee, Jong Seok
Son, Youn Kyoung
Bae, Chang-Hwan
Yeo, Joohong
Lee, Choong Hwan
author_sort Lee, Sarah
collection PubMed
description Chemotaxonomic metabolite profiling of 62 indigenous Korean plant species was performed by ultrahigh performance liquid chromatography (UHPLC)-linear trap quadrupole-ion trap (LTQ-IT) mass spectrometry/mass spectrometry (MS/MS) combined with multivariate statistical analysis. In partial least squares discriminant analysis (PLS-DA), the 62 species clustered depending on their phylogenetic family, in particular, Aceraceae, Betulaceae, and Fagaceae were distinguished from Rosaceae, Fabaceae, and Asteraceae. Quinic acid, gallic acid, quercetin, quercetin derivatives, kaempferol, and kaempferol derivatives were identified as family-specific metabolites, and were found in relatively high concentrations in Aceraceae, Betulaceae, and Fagaceae. Fagaceae and Asteraceae were selected based on results of PLS-DA and bioactivities to determine the correlation between metabolic differences among plant families and bioactivities. Quinic acid, quercetin, kaempferol, quercetin derivatives, and kaempferol derivatives were found in higher concentrations in Fagaceae than in Asteraceae, and were positively correlated with antioxidant and tyrosinase inhibition activities. These results suggest that metabolite profiling was a useful tool for finding the different metabolic states of each plant family and understanding the correlation between metabolites and bioactivities in accordance with plant family.
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spelling pubmed-63323672019-01-24 Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities Lee, Sarah Oh, Dong-Gu Lee, Sunmin Kim, Ga Ryun Lee, Jong Seok Son, Youn Kyoung Bae, Chang-Hwan Yeo, Joohong Lee, Choong Hwan Molecules Article Chemotaxonomic metabolite profiling of 62 indigenous Korean plant species was performed by ultrahigh performance liquid chromatography (UHPLC)-linear trap quadrupole-ion trap (LTQ-IT) mass spectrometry/mass spectrometry (MS/MS) combined with multivariate statistical analysis. In partial least squares discriminant analysis (PLS-DA), the 62 species clustered depending on their phylogenetic family, in particular, Aceraceae, Betulaceae, and Fagaceae were distinguished from Rosaceae, Fabaceae, and Asteraceae. Quinic acid, gallic acid, quercetin, quercetin derivatives, kaempferol, and kaempferol derivatives were identified as family-specific metabolites, and were found in relatively high concentrations in Aceraceae, Betulaceae, and Fagaceae. Fagaceae and Asteraceae were selected based on results of PLS-DA and bioactivities to determine the correlation between metabolic differences among plant families and bioactivities. Quinic acid, quercetin, kaempferol, quercetin derivatives, and kaempferol derivatives were found in higher concentrations in Fagaceae than in Asteraceae, and were positively correlated with antioxidant and tyrosinase inhibition activities. These results suggest that metabolite profiling was a useful tool for finding the different metabolic states of each plant family and understanding the correlation between metabolites and bioactivities in accordance with plant family. MDPI 2015-11-02 /pmc/articles/PMC6332367/ /pubmed/26540030 http://dx.doi.org/10.3390/molecules201119652 Text en © 2015 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lee, Sarah
Oh, Dong-Gu
Lee, Sunmin
Kim, Ga Ryun
Lee, Jong Seok
Son, Youn Kyoung
Bae, Chang-Hwan
Yeo, Joohong
Lee, Choong Hwan
Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title_full Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title_fullStr Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title_full_unstemmed Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title_short Chemotaxonomic Metabolite Profiling of 62 Indigenous Plant Species and Its Correlation with Bioactivities
title_sort chemotaxonomic metabolite profiling of 62 indigenous plant species and its correlation with bioactivities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332367/
https://www.ncbi.nlm.nih.gov/pubmed/26540030
http://dx.doi.org/10.3390/molecules201119652
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