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: Chenxi Wang, Yue Zhang, Hui Ding, Meifang Song, Jiaxin Yin, Heshui Yu, Zheng Li, Lifeng Han, Zhonglian Zhang
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/63a2206568d24d509d6db5a5413a6a34
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spelling oai:doaj.org-article:63a2206568d24d509d6db5a5413a6a342021-11-30T10:08:59ZAuthentication of Zingiber Species Based on Analysis of Metabolite Profiles1664-462X10.3389/fpls.2021.705446https://doaj.org/article/63a2206568d24d509d6db5a5413a6a342021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpls.2021.705446/fullhttps://doaj.org/toc/1664-462XZingiber 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.Chenxi WangYue ZhangHui DingMeifang SongJiaxin YinHeshui YuZheng LiLifeng HanZhonglian ZhangFrontiers Media S.A.articleZingiberchloroplast genomeuntargeted metabolomicsgas chromatography-mass spectrometrychemometric methodsPlant cultureSB1-1110ENFrontiers in Plant Science, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Zingiber
chloroplast genome
untargeted metabolomics
gas chromatography-mass spectrometry
chemometric methods
Plant culture
SB1-1110
spellingShingle Zingiber
chloroplast genome
untargeted metabolomics
gas chromatography-mass spectrometry
chemometric methods
Plant culture
SB1-1110
Chenxi Wang
Yue Zhang
Hui Ding
Meifang Song
Jiaxin Yin
Heshui Yu
Zheng Li
Lifeng Han
Zhonglian Zhang
Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
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.
format article
author Chenxi Wang
Yue Zhang
Hui Ding
Meifang Song
Jiaxin Yin
Heshui Yu
Zheng Li
Lifeng Han
Zhonglian Zhang
author_facet Chenxi Wang
Yue Zhang
Hui Ding
Meifang Song
Jiaxin Yin
Heshui Yu
Zheng Li
Lifeng Han
Zhonglian Zhang
author_sort Chenxi Wang
title Authentication of Zingiber Species Based on Analysis of Metabolite Profiles
title_short 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_sort authentication of zingiber species based on analysis of metabolite profiles
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/63a2206568d24d509d6db5a5413a6a34
work_keys_str_mv AT chenxiwang authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
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AT meifangsong authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
AT jiaxinyin authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
AT heshuiyu authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
AT zhengli authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
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AT zhonglianzhang authenticationofzingiberspeciesbasedonanalysisofmetaboliteprofiles
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