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Development of chloroplast microsatellite markers for identification of Glycyrrhiza species

Published online by Cambridge University Press:  23 October 2018

Kyung Jun Lee
Affiliation:
National Agrobiodiversity Center, National Institute of Agricultural Science, RDA, Jeonju-54874, Republic of Korea
Sebastin Raveendar
Affiliation:
National Agrobiodiversity Center, National Institute of Agricultural Science, RDA, Jeonju-54874, Republic of Korea
Ji Seon Choi
Affiliation:
Department of Industrial Plant Science and Technology, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea
Jinsu Gil
Affiliation:
Department of Industrial Plant Science and Technology, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea
Jeong Hoon Lee
Affiliation:
Herbal Crop Research Division, Department of Herbal Crop Research, NIHHS, RDA, Eumseong 27709, Republic of Korea
Yoon-Sup So*
Affiliation:
Department of Crop Science, Chungbuk National University, Cheongju 28644, Republic of Korea
Jong-Wook Chung*
Affiliation:
Department of Industrial Plant Science and Technology, Chungbuk National University, Cheongju, Chungbuk 28644, Republic of Korea
*
*Corresponding author. E-mail: [email protected] and [email protected]
*Corresponding author. E-mail: [email protected] and [email protected]

Abstract

Licorice (Glycyrrhiza glabra) is an important medicinal herb and has long been used in traditional medicine for the treatment of several diseases worldwide. Understanding the genetic diversity within Glycyrrhiza species is important for the efficient conservation of these medicinal herbs. In this study, we have developed 20 polymorphic chloroplast microsatellite (cpSSR) markers using the chloroplast genome of G. lepidota. The cpSSR markers were tested on a total of 27 Glycyrrhiza individual plants. The number of alleles per locus ranged from two to eight among the Glycyrrhiza accessions. Overall, the Shannon index (I) for each cpSSR ranged from 0.315 to 1.694, the diversity indices (h) were 0.140–0.793 and the unbiased diversity indices (uh) were 0.145–0.825. In addition, the cpSSR markers were successfully divided and classified the 27 Glycyrrhiza individuals into four groups. The cpSSR markers developed in this study could be used in the assessment of genetic diversity and rapid identification of Glycyrrhiza species.

Type
Short Communication
Copyright
Copyright © NIAB 2018 

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Footnotes

These authors contributed equally to this work.

References

Ashurmetov, OA (1996) Selection of parental pairs for obtaining hybrids in the genera Glycyrrhiza L. and Meristotropis Fisch. et Mey. Genetic Resources and Crop Evolution 43: 167171.Google Scholar
Cheng, Y, de Vicente, MC, Meng, H, Guo, W, Tao, N and Deng, X (2005) A set of primers for analyzing chloroplast DNA diversity in Citrus and related genera. Tree Physiology 25: 661672.Google Scholar
Diekmann, K, Hodkinson, TR and Barth, S (2012) New chloroplast microsatellite markers suitable for assessing genetic diversity of Lolium perenne and other related grass species. Annals of Botany 110: 13271339.Google Scholar
Fiore, C, Eisenhut, M, Krausse, R, Ragazzi, E, Pellati, D, Armanini, D and Bielenberg, J (2008) Antiviral effects of Glycyrrhiza species. Phytotherapy Research 22: 141148.Google Scholar
Green, RM, Vardi, A and Galun, E (1986) The plastome of Citrus. Physical map, variation among Citrus cultivars and species and comparison with related genera. Theoretical and Applied Genetics 72: 170177.Google Scholar
Jung, J, Kim, KH, Yang, K, Bang, K-H and Yang, T-J (2014) Practical application of DNA markers for high-throughput authentication of Panax ginseng and Panax quinquefolius from commercial ginseng products. Journal of Ginseng Research 38: 123129.Google Scholar
Liu, K and Muse, SV (2005) Powermarker: an integrated analysis environment for genetic marker analysis. Bioinformatics (Oxford, England) 21: 21282129.Google Scholar
Peakall, R and Smouse, PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Resources 6: 288295.Google Scholar
Powell, W, Morgante, M, McDevitt, R, Vendramin, GG and Rafalski, JA (1995) Polymorphic simple sequence repeat regions in chloroplast genomes: applications to the population genetics of pines. Proceedings of the National Academy of Sciences of the USA 92: 77597763.Google Scholar
Raveendra, KR, Jayachandra, , Srinivasa, V, Sushma, KR, Allan, JJ, Goudar, KS, Shivaprasad, HN, Venkateshwarlu, K, Geetharani, P, Sushma, G and Agarwal, A (2012) An extract of Glycyrrhiza glabra (GutGard) alleviates symptoms of functional dyspepsia: a randomized, double-blind, placebo-controlled study. Evidence-Based Complementary and Alternative Medicine 2012: 9.Google Scholar
Raveendar, S, So, Y-S, Lee, KJ, Lee, D-J, Sung, J and Chung, J-W (2017) The complete chloroplast genome sequence of Glycyrrhiza lepidota (Nutt.) Pursh – an American wild licorice. Journal of Crop Science and Biotechnology 20: 295303.Google Scholar
Tamura, K, Dudley, J, Nei, M and Kumar, S (2007) MEGA4: molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0. Molecular Biology and Evolution 24: 15961599.Google Scholar
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