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Authentication of Zingiber Species Based on Analysis of Metabolite Profiles

Zingiber corallinum and Zingiber montanum, which belong to the Zingiberaceae family, are traditional Chinese folk medicinal herbs in Guizhou and Yunnan Province of China. They share great similarities in morphology, chemical constituent, and DNA barcoding sequence. The taxonomy of the two Zingiber s...

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Autores principales: Wang, Chenxi, Zhang, Yue, Ding, Hui, Song, Meifang, Yin, Jiaxin, Yu, Heshui, Li, Zheng, Han, Lifeng, Zhang, Zhonglian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647842/
https://www.ncbi.nlm.nih.gov/pubmed/34880881
http://dx.doi.org/10.3389/fpls.2021.705446
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author Wang, Chenxi
Zhang, Yue
Ding, Hui
Song, Meifang
Yin, Jiaxin
Yu, Heshui
Li, Zheng
Han, Lifeng
Zhang, Zhonglian
author_facet Wang, Chenxi
Zhang, Yue
Ding, Hui
Song, Meifang
Yin, Jiaxin
Yu, Heshui
Li, Zheng
Han, Lifeng
Zhang, Zhonglian
author_sort Wang, Chenxi
collection PubMed
description Zingiber corallinum and Zingiber montanum, which belong to the Zingiberaceae family, are traditional Chinese folk medicinal herbs in Guizhou and Yunnan Province of China. They share great similarities in morphology, chemical constituent, and DNA barcoding sequence. The taxonomy of the two Zingiber species is controversial and discrimination of traditional Chinese medicines directly affects the pharmacological and clinical effects. In the present study, we performed a systemic analysis of “super-barcode” and untargeted metabolomics between Z. corallinum and Z. montanum using chloroplast (cp) genome sequencing and gas chromatography-mass spectrometry (GC-MS) analysis. Comparison and phylogenetic analysis of cp genomes of the two Zingiber species showed that the cp genome could not guarantee the accuracy of identification. An untargeted metabolomics strategy combining GC-MS with chemometric methods was proposed to distinguish the Zingiber samples of known variety. A total of 51 volatile compounds extracted from Z. corallinum and Z. montanum were identified, and nine compounds were selected as candidate metabolic markers to reveal the significant difference between Z. corallinum and Z. montanum. The performance of the untargeted metabolomic approach was verified with unknown Zingiber samples. Although the cp genomes could not be used to identify Zingiber species in this study, it will still provide a valuable genomics resource for population studies in the Zingiberaceae family, and the GC-MS based metabolic fingerprint is more promising for species identification and safe application of Z. corallinum and Z. montanum.
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spelling pubmed-86478422021-12-07 Authentication of Zingiber Species Based on Analysis of Metabolite Profiles Wang, Chenxi Zhang, Yue Ding, Hui Song, Meifang Yin, Jiaxin Yu, Heshui Li, Zheng Han, Lifeng Zhang, Zhonglian Front Plant Sci Plant Science Zingiber corallinum and Zingiber montanum, which belong to the Zingiberaceae family, are traditional Chinese folk medicinal herbs in Guizhou and Yunnan Province of China. They share great similarities in morphology, chemical constituent, and DNA barcoding sequence. The taxonomy of the two Zingiber species is controversial and discrimination of traditional Chinese medicines directly affects the pharmacological and clinical effects. In the present study, we performed a systemic analysis of “super-barcode” and untargeted metabolomics between Z. corallinum and Z. montanum using chloroplast (cp) genome sequencing and gas chromatography-mass spectrometry (GC-MS) analysis. Comparison and phylogenetic analysis of cp genomes of the two Zingiber species showed that the cp genome could not guarantee the accuracy of identification. An untargeted metabolomics strategy combining GC-MS with chemometric methods was proposed to distinguish the Zingiber samples of known variety. A total of 51 volatile compounds extracted from Z. corallinum and Z. montanum were identified, and nine compounds were selected as candidate metabolic markers to reveal the significant difference between Z. corallinum and Z. montanum. The performance of the untargeted metabolomic approach was verified with unknown Zingiber samples. Although the cp genomes could not be used to identify Zingiber species in this study, it will still provide a valuable genomics resource for population studies in the Zingiberaceae family, and the GC-MS based metabolic fingerprint is more promising for species identification and safe application of Z. corallinum and Z. montanum. Frontiers Media S.A. 2021-11-22 /pmc/articles/PMC8647842/ /pubmed/34880881 http://dx.doi.org/10.3389/fpls.2021.705446 Text en Copyright © 2021 Wang, Zhang, Ding, Song, Yin, Yu, Li, Han and Zhang. 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
Wang, Chenxi
Zhang, Yue
Ding, Hui
Song, Meifang
Yin, Jiaxin
Yu, Heshui
Li, Zheng
Han, Lifeng
Zhang, Zhonglian
Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_full Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_fullStr Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_full_unstemmed Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_short Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_sort authentication of zingiber species based on analysis of metabolite profiles
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647842/
https://www.ncbi.nlm.nih.gov/pubmed/34880881
http://dx.doi.org/10.3389/fpls.2021.705446
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