Rapid Identification of Paeoniae Radix and Moutan Radicis Cortex Using a SCAR Marker-Based Conventional PCR Assay

Author:

Kim Wook Jin,Noh Sumin,Choi GoyaORCID,Moon Byeong CheolORCID

Abstract

Paeoniae Radix is a herbal medicine prepared from the dried roots of Paeonia lactiflora, P. anomala subsp. veitchii, and P. japonica. Although the herbal medicines prepared from these species are morphologically similar, they have different pharmacological effects depending on how they are processed. In addition, P. japonica is more expensive than other Paeonia spp. in the Korean herbal market. Although there is a clear difference between the Korean and Chinese pharmacopeias of Paeoniae Radix, the processed roots of P. lactiflora and P. anomala subsp. veitchii are commonly used indiscriminately in the herbal market. Moreover, Paeonia suffruticosa, an allied genus of P. lactiflora, is prescribed as Moutan Radicis Cortex. Therefore, accurate taxonomic identification of plant species is vital for quality assurance. A genetic assay is a reliable tool for accurately discriminating species in processed herbal medicines. To develop a genetic assay for the identification of four Paeonia species (P. lactiflora, P. anomala subsp. veitchii, P. japonica, and P. suffruticosa), we analyzed the sequences of two DNA barcoding regions, internal transcribed spacer and rbcL. A conventional PCR assay was established in this study for simple and rapid species identification using sequence characterized amplified region (SCAR) markers based on arbitrary nucleotide-containing primers. This assay was verified to be species specific and highly sensitive and could be applied to Paeonia species identification at an affordable rate.

Funder

Korea Innovation Foundation (INNIPOLIS) grant funded by the Korean government (Ministry of Science and ICT) through a science and technology project that opens the future of the region

Development of Sustainable Application for Standard Herbal Resources

Publisher

MDPI AG

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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