Browse > Article
http://dx.doi.org/10.5010/JPB.2021.48.3.131

Trends in the development of discriminating between Angelica L. species using advanced DNA barcoding techniques  

Lee, Shin-Woo (Department of Plant & Biomaterials Science, Chilam Campus, Gyeongsang National University)
Shin, Yong-Wook (Department of Plant & Biomaterials Science, Chilam Campus, Gyeongsang National University)
Kim, Yun-Hee (Department of Biology Education, College of Education, IALS, Gyeongsang National University)
Publication Information
Journal of Plant Biotechnology / v.48, no.3, 2021 , pp. 131-138 More about this Journal
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;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Bylaite E, Venskutonis RP, Roozen JP (1998) Influence of harvesting time on the composition of volatile components in dierent anatomical parts of lovage (Levisticum officinale Koch.). J Agric Food Chem 46:3735-3740   DOI
2 Choo BK, Moon BC, i Y, Kim BB, Choi G, Yoon TS, Kim HK (2009) Development of SCAR markers for the discrimination of three species of medicinal plants, Angelica decu rsiva (Peucedanum decursivum), Peucedanum praeruptorum and Anthricus sylvestris, based on the internal transcribed spacer (ITS) sequence and random amplified polymorphic DNA (RAPD). Biol Pharm Bull 32:24-30   DOI
3 Foodcode (2015) 식품의 기준 및 규격 https://members.wto.org/crnattachments/2015/SPS/KOR/15_4289_00_x.pdf
4 Han JP, Pang XH, Liao BS, Yao H, Song JY, Chen SI (2016a) An authenticity survey of herbal medicines from markets in China using DNA barcoding. Sci Rep 18723:1-6
5 Mei Z. Zhang C. Khan MA. Zhu Y. Tania M. Luo P. Fu J (2015) Efficiency of improved RAPD and ISSR markers in assessing genetic diversity and relationships in Angelica sinensis (Oliv.) Diels varieties of China. Electron J Biotechnol 18:96-102   DOI
6 Mizukami H, Hao BS, Tanaka T (1997) Nucleotide sequence of 5S-rDNA intergenic spacer region on Angelica acutiloba. Nat Med 51:376-378
7 Newton CR, Graham A, Heptinstall LE (1989) Analysis of point mutation in DNA. The amplification refractory mutation system (ARMS). Nucl Acids Res 17:2503-2516   DOI
8 Noh P, Kim WJ, Yang S, Park I, Moon BC (2018) Authentication of the herbal medicine Angelicae Dahuricae Radix using an ITS sequence- based multiplex SCAR assay. Molecules 23:2134-2146   DOI
9 Kim WJ, Moon BC, Yang S, Han KS, Choi G, Lee AY. (2016) Rapid authentication of the herbal medicine plant species Aralia continentalis Kitag. and Angelica biserrata C.Q. Yuan and R.H. Shan using ITS2 sequences and multiplex-SCAR markers. Molecules 21:270-276   DOI
10 Han L, Liu DL, Zeng QK, Shi MQ, Zhao LX, He Q, Kuang X, Du JR.(2018) The neuroprotective effects and probable mechanisms of Ligustilide and its degradative products on intracerebral hemorrhage in mice. Int Immunopharmacol 63:43-57   DOI
11 Liu M, Hu X, Wang X, Zhang J, Peng X, Hu Z and Liu Y (2020b) Constructing a core collection of the medicinal plant Angelica biserrata using genetic and metabolic data. Front Plant Sci 11:600249   DOI
12 Zhao KJ, Dong TTX, Tu PF, Song ZH, Lo CK, Tsim KWK (2003) Molecular genetic and chemical assessment of radix Angelica (Danggui) in China. J Agr Food Chem 51:2576-25   DOI
13 Chen C, Chen Y, Huang W, Jiang Y, Zhang H, Wu W (2019) Mining of simple sequence repeats (SSRs) loci and development of novel transferability-across EST-SSR markers from de novo transcriptome assembly of Angelica dahurica. PLoS ONE 14:e0221040   DOI
14 Ma Z. Bai, L. (2012) The anti-inflammatory effect of Z-Ligustilide in experimental ovariectomised osteopenic rats. Inflammation 35:1793-1797   DOI
15 Park IK, Yang S, Kim WJ, Song JH, Lee HS, Lee HO, Lee JH, Ahn SN, Moon BC (2019) Sequencing and comparative analysis of the chloroplast genome of Angelica polymorpha and the development of a novel indel marker for species. Molecules 24:1038-1052   DOI
16 Sung JS, Bang KW, Park CH, Park CG, Yu HS, Park HW, Seong NS (2004) Discrimination of Angelicae Radix Bsed on Anatomical Characters. Kor J Med Crop Sci 12:67-72
17 Yu HS, Park CH, Park CG, Kim YG, Park HW, Seong NS (2004) Growth characteristics and tield of the three species of genus Angelica. Kor J Med Crop Sci 12:43-46
18 Zhang X, Ji K, Li Y, Chen C, Li X, Liu L (2003) Studies on establishing rRNA gene map of Angelica sinensis and Rheum palmatum from Gansu by DNA sequencing. J Chi Med Mat 26:481-4   DOI
19 Zhang C, Mei Z, Cheng J, He Y, Khan MA, Luo P, Imani S, Fu J (2015)Development of SCAR markers based on improved RAPD amplification fragments and molecular cloning for authentication of herbal medicines Angelica sinensis, Angelica acutiloba and Levisticum officinale. Nat Prod Com 10:1743-1747
20 Lu Y, Cheng T, Zhu T, Jiang D, Zhou S, Jin L, Yuan Q, Luqi Huang L (2015) Isolation and characterization of 18 polymorphic microsatellite markers for the "Female Ginseng" angelica sinensis (Apiaceae) and cross-species amplification. Biochem Sys Ecol 61:488-492   DOI
21 Gil JS, Park SI, Lee Y, Kim HB, Kim SC, Kim OT, Cha SW, Jung CS, Um YR (2016) Current status and prospects of the authentication of Angelica species. J Plant Biotechnol 43: 151-156   DOI
22 Lee MY, Li SH, Ju S, Han KS, Jeong GJ, An DG, Kang HC, Ko BS (2000) Discrimination of the three Angelica species using the RAPDs and Internal Root Structure. Kor J Med Crop Sci 8:243-249
23 Yuan QJ. Zhang B. Jiang D. Zhang WJ. Lin TY. Wang NH. Chiou SJ, Huang LQ (2015) Identification of species and materia medica within Angelica L, (Umbelliferae) based on phylogeny inferred from DNA barcodes. Mol Ecol Resour 15:358-371   DOI
24 Lee SW, Lee SJ, Han EH, Shin YW, Kim YH (2021a) Development of molecular markes for the differentiation of Angelica gigas Jiri line by using ARMS-PCR analysis. J Plant Biotechnol 48:26-33   DOI
25 EMA, European Medicines Agency. Community Herbal Monograph on Levisticum ocinale Koch,Radix; EMA, European Medicines Agency: Amsterdam, The Netherlands, 2012; Available online: https://www.ema.europa.eu/en/documents/herbal-monograph/draft-community-herbal-monographlevisticum-officinale-koch-radix_en.pdf (accessed on 15 January 2020)
26 He Y, Hou, Fan G, Song Z, Arain S, Shu H, Tang C, Yue Q, Zhang Y (2012) Authentication of Angelica anomala Ave-Lall cultivars through DNA barcodes. Mitochondrial DNA 23:100-105   DOI
27 Blank I, Schieberle P (1993) Analysis of the seasoning-like flavour substances of a commercial lovage extract (Levisticum officinale Koch.). Flavour Fragr J 8:191-195   DOI
28 Choi HY, Choi YJ, Lee JH, Ham IH (2004) Sequencing analysis on the ITS region and AFLP analysis to identify dried medicinal Angelica species. Kor J Herbol 19:91-99
29 Kim YH, Shin YW, Lee SW (2018) Practical application of the Bar-HRM technology for utilization with the differentiation of the origin of specific medicinal plant species. J Plant Biotechnol 45:9-16   DOI
30 Feng T, Liu S, He XJ (2010) Molecular authentication of the traditional Chinese medicinal plant Angelica sinensis based on internal transcribed spacer of nrDNA. Electron J Biotechnol 13:DOI: 10.2225. http://www.ejbiotechnology.info/content/vol13/issue1/full/13/   DOI
31 Han EH, Kim YH, Lee SW (2015) Development of molecular biological techniques for the differentiation of medicinal plant species. J Plant Biotechnol 42:6-12   DOI
32 Korea Food & Drug Administration, "The Korean Herbal Pharma copoeia," Korea Food & Drug Administration, Seoul, 2006
33 Lee SJ, Shin YW, Kim YH, Lee SW (2017) Identification of specific SNP molecular marker from Cudrania tricuspidata using DNA sequences of chloroplast TrnL-F region. J Plant Biotechnol 44:135-141   DOI
34 Lee SW, Lee SJ, Kim YH (2018) Development of specific SNP molecular marker from Thistle using DNA sequences of ITS region. J Plant Biotechnol 45:102-109   DOI
35 Lee SW, Lee SJ, Han EH, Shin YW, Kim YH (2021b) Development of specific ploymorphism molecular markes for Angelica gigas Nakai. J Plant Biotechnol 48:71-76   DOI
36 Liu Q, Lu Z, He W, Li F, Chen W, Li C, Chao Z, Tian E (2020a) Development and characterization of 16 novel microsatellite markers by transcriptome sequencing for Angelica dahurica and test for cross-species amplification. BMC Plant Biol 20:152-160   DOI
37 Long FY, Shi MQ. Zhou HJ, Liu DL, Sang N, Du JR. (2018) Klotho upregulation contributes to the neuroprotection of ligustilide against cerebral ischemic injury in mice. Eur J Pharmacol 820:198-205   DOI
38 Ma Z, Bai L (2013) Anti-inflammatory Effects of Z-Ligustilide Nanoemulsion. Inflammation 36:294-299   DOI
39 Han B-X, Yuan Y, Huang LQ, Zhao Q, Tan L-L, Song X-W, He X-M, Xu T, Liu F, Wang J (2017) Specific PCR identification between Peucedanum praeruptorum and Angelica decursiva and identification between them and adulterant using DNA barcode. Pharmacognosy Magazine 13:38-45
40 Han EH, Cho KM, Goo YM, Kim MB, Shin YW, Kim YH, Lee SW (2016b) Development of molecular markers, based on chloroplast and ribosomal DNA regions, to discriminate three popular medicinal plant species, Cynanchum wilfordii, Cynanchum auriculatum, and Polygonum multiflorum. Mol Biol Rep 43:323-332   DOI
41 Kim SA, Oh HK, Kim JY, Hong JW, Cho SI (2011) A Review of Pharmacological Effects of Angelica gigas, Angelica sinensis, Angelica acutiloba and their Bioactive Compounds. J Kor Ori Med 32:1-24