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Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice

Traditional herbal medicines have played important roles in the ways of life of people around the world since ancient times. Despite the advanced medical technology of the modern world, herbal medicines are still used as popular alternatives to synthetic drugs. Due to the increasing demand for herba...

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Autores principales: Li, Jingjian, Xiong, Chao, He, Xia, Lu, Zhaocen, Zhang, Xin, Chen, Xiaoyang, Sun, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928318/
https://www.ncbi.nlm.nih.gov/pubmed/29740326
http://dx.doi.org/10.3389/fphar.2018.00407
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author Li, Jingjian
Xiong, Chao
He, Xia
Lu, Zhaocen
Zhang, Xin
Chen, Xiaoyang
Sun, Wei
author_facet Li, Jingjian
Xiong, Chao
He, Xia
Lu, Zhaocen
Zhang, Xin
Chen, Xiaoyang
Sun, Wei
author_sort Li, Jingjian
collection PubMed
description Traditional herbal medicines have played important roles in the ways of life of people around the world since ancient times. Despite the advanced medical technology of the modern world, herbal medicines are still used as popular alternatives to synthetic drugs. Due to the increasing demand for herbal medicines, plant species identification has become an important tool to prevent substitution and adulteration. Here we propose a method for biological assessment of the quality of prescribed species in the Chinese Pharmacopoeia by use of high resolution melting (HRM) analysis of microsatellite loci. We tested this method on licorice, a traditional herbal medicine with a long history. Results showed that nine simple sequence repeat (SSR) markers produced distinct melting curve profiles for the five licorice species investigated using HRM analysis. These results were validated by capillary electrophoresis. We applied this protocol to commercially available licorice products, thus enabling the consistent identification of 11 labels with non-declared Glycyrrhiza species. This novel strategy may thus facilitate DNA barcoding as a method of identification of closely related species in herbal medicine products. Based on this study, a brief operating procedure for using the SSR-HRM protocol for herbal authentication is provided.
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spelling pubmed-59283182018-05-08 Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice Li, Jingjian Xiong, Chao He, Xia Lu, Zhaocen Zhang, Xin Chen, Xiaoyang Sun, Wei Front Pharmacol Pharmacology Traditional herbal medicines have played important roles in the ways of life of people around the world since ancient times. Despite the advanced medical technology of the modern world, herbal medicines are still used as popular alternatives to synthetic drugs. Due to the increasing demand for herbal medicines, plant species identification has become an important tool to prevent substitution and adulteration. Here we propose a method for biological assessment of the quality of prescribed species in the Chinese Pharmacopoeia by use of high resolution melting (HRM) analysis of microsatellite loci. We tested this method on licorice, a traditional herbal medicine with a long history. Results showed that nine simple sequence repeat (SSR) markers produced distinct melting curve profiles for the five licorice species investigated using HRM analysis. These results were validated by capillary electrophoresis. We applied this protocol to commercially available licorice products, thus enabling the consistent identification of 11 labels with non-declared Glycyrrhiza species. This novel strategy may thus facilitate DNA barcoding as a method of identification of closely related species in herbal medicine products. Based on this study, a brief operating procedure for using the SSR-HRM protocol for herbal authentication is provided. Frontiers Media S.A. 2018-04-24 /pmc/articles/PMC5928318/ /pubmed/29740326 http://dx.doi.org/10.3389/fphar.2018.00407 Text en Copyright © 2018 Li, Xiong, He, Lu, Zhang, Chen and Sun. http://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 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 Pharmacology
Li, Jingjian
Xiong, Chao
He, Xia
Lu, Zhaocen
Zhang, Xin
Chen, Xiaoyang
Sun, Wei
Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title_full Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title_fullStr Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title_full_unstemmed Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title_short Using SSR-HRM to Identify Closely Related Species in Herbal Medicine Products: A Case Study on Licorice
title_sort using ssr-hrm to identify closely related species in herbal medicine products: a case study on licorice
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928318/
https://www.ncbi.nlm.nih.gov/pubmed/29740326
http://dx.doi.org/10.3389/fphar.2018.00407
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