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Trends in the development of discriminating between Angelica L. species using advanced DNA barcoding techniques
J Plant Biotechnol 2021;48:131-138
Published online September 30, 2021
© 2021 The Korean Society for Plant Biotechnology.

Shin-Woo Lee ・Yong-Wook Shin ・Yun-Hee Kim

(Department of Plant & Biomaterials Science,Chilam Campus, Gyeongsang National University, Jinju 52828, Korea)
(Department of Biology Education, College of Education, IALS, Gyeongsang National University, Jinju 52828, Korea)
Correspondence to: e-mail: cefle@gnu.ac.kr
Received August 18, 2021; Revised August 31, 2021; Accepted August 31, 2021.
cc This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We reviewed current research trends for discriminating between species of the Angelica genus, a group of important medicinal plants registered in South Korea, China, and Japan. Since the registered species for medicinal purposes differ by country, they are often adulterated as well as mixed in commercial markets. Several DNA technologies have been applied to distinguish between species. However, one of the restrictions is insufficient single-nucleotide polymorphisms (SNPs) within the target DNA fragments; in particular, among closely-related species. Recently, amplification refractory mutation system (ARMS)-PCR and highresolution melting (HRM) curve analysis techniques have been developed to solve such a problem. We applied both technologies, and found they were able to discriminate several lines of Angelica genus, including A. gigas Nakai, A. gigas Jiri, A. sinensis, A. acutiloba Kitag, and Levisticum officinale. Furthermore, although the ITS region differs only by one SNP between A. gigas Nakai and A. gigas Jiri, both HRM and ARMS-PCR techniques were powerful enough to discriminate between them. Since both A. gigas Nakai and A. gigas Jiri are native species to South Korea and are very closely related, they are difficult to discriminate by their morphological characteristics. For practical applications of these technologies, further research is necessary with various materials, such as dried or processed materials (jam, jelly, juice, medicinal decoctions, etc.) in commercial markets.
Keywords : Angelica genus, DNA barcoding, ARMS-PCR, HRM curve


September 2021, 48 (3)
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