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Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches

CRP (Citri Reticulatae Pericarpium), a famous traditional Chinese medicine, has also been extensively used in foods and condiments in dietary practice for centuries. According to the Chinese Pharmacopeia (2015 edition) it contains two subtypes, Guangchenpi (GCP) and Chenpi (CP). GCP exclusively orig...

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Autores principales: Wang, Peng, Zhang, Jing, Zhang, Yating, Su, He, Qiu, Xiaohui, Gong, Lu, Huang, Juan, Bai, Junqi, Huang, Zhihai, Xu, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067315/
https://www.ncbi.nlm.nih.gov/pubmed/35514483
http://dx.doi.org/10.1039/c9ra03740c
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author Wang, Peng
Zhang, Jing
Zhang, Yating
Su, He
Qiu, Xiaohui
Gong, Lu
Huang, Juan
Bai, Junqi
Huang, Zhihai
Xu, Wen
author_facet Wang, Peng
Zhang, Jing
Zhang, Yating
Su, He
Qiu, Xiaohui
Gong, Lu
Huang, Juan
Bai, Junqi
Huang, Zhihai
Xu, Wen
author_sort Wang, Peng
collection PubMed
description CRP (Citri Reticulatae Pericarpium), a famous traditional Chinese medicine, has also been extensively used in foods and condiments in dietary practice for centuries. According to the Chinese Pharmacopeia (2015 edition) it contains two subtypes, Guangchenpi (GCP) and Chenpi (CP). GCP exclusively originates from the pericarp of Citrus reticulata ‘Chachi’ cultivar and it's generally believed that GCP has superior qualities compared with the other main cultivars (CP). In the present study, an integrated approach combining LC-QTOF MS-based untargeted metabolomics analysis and DNA barcoding molecular identification was conducted to study the genetic diversity and chemical differences between GCP and CP. A validated UPLC-QTOF MS metabolomics method was established to identify markers by using PCA and OPLS-DA models. 34 identified metabolites could be used as chemical markers to distinguish effectively between the two subtypes. Among them polymethoxyflavones (PMF) such as hexamethoxyflavone (nobiletin and natsudaidain), pentamethoxyflavone (tangeretin and sinensetin), and tetramethoxyflavone are the most influential markers. Support vector machines were employed to classify all the samples and these markers showed good prediction accuracy (100%). The results of DNA barcoding showed that the secondary structure of the ITS2 sequences were significantly different among GCP and other three cultivars. The study indicated the integrated method could be a powerful and reliable analytical tool for differentiating GCP from CP.
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spelling pubmed-90673152022-05-04 Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches Wang, Peng Zhang, Jing Zhang, Yating Su, He Qiu, Xiaohui Gong, Lu Huang, Juan Bai, Junqi Huang, Zhihai Xu, Wen RSC Adv Chemistry CRP (Citri Reticulatae Pericarpium), a famous traditional Chinese medicine, has also been extensively used in foods and condiments in dietary practice for centuries. According to the Chinese Pharmacopeia (2015 edition) it contains two subtypes, Guangchenpi (GCP) and Chenpi (CP). GCP exclusively originates from the pericarp of Citrus reticulata ‘Chachi’ cultivar and it's generally believed that GCP has superior qualities compared with the other main cultivars (CP). In the present study, an integrated approach combining LC-QTOF MS-based untargeted metabolomics analysis and DNA barcoding molecular identification was conducted to study the genetic diversity and chemical differences between GCP and CP. A validated UPLC-QTOF MS metabolomics method was established to identify markers by using PCA and OPLS-DA models. 34 identified metabolites could be used as chemical markers to distinguish effectively between the two subtypes. Among them polymethoxyflavones (PMF) such as hexamethoxyflavone (nobiletin and natsudaidain), pentamethoxyflavone (tangeretin and sinensetin), and tetramethoxyflavone are the most influential markers. Support vector machines were employed to classify all the samples and these markers showed good prediction accuracy (100%). The results of DNA barcoding showed that the secondary structure of the ITS2 sequences were significantly different among GCP and other three cultivars. The study indicated the integrated method could be a powerful and reliable analytical tool for differentiating GCP from CP. The Royal Society of Chemistry 2019-07-29 /pmc/articles/PMC9067315/ /pubmed/35514483 http://dx.doi.org/10.1039/c9ra03740c Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Wang, Peng
Zhang, Jing
Zhang, Yating
Su, He
Qiu, Xiaohui
Gong, Lu
Huang, Juan
Bai, Junqi
Huang, Zhihai
Xu, Wen
Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title_full Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title_fullStr Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title_full_unstemmed Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title_short Chemical and genetic discrimination of commercial Guangchenpi (Citrus reticulata ‘Chachi’) by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches
title_sort chemical and genetic discrimination of commercial guangchenpi (citrus reticulata ‘chachi’) by using uplc-qtof-ms/ms based metabolomics and dna barcoding approaches
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067315/
https://www.ncbi.nlm.nih.gov/pubmed/35514483
http://dx.doi.org/10.1039/c9ra03740c
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