Background: Adenophora triphylla var. japonica (Regel) H. Hara shows vegetative growth with radical leaves during the first year and shows reproductive growth with cauline leaves and bolting during the second year. In addition, the shape of the plant varies within the same species. For this reason, there are limitations to classifying the species by visual examination. However, there is not sufficient genetic information or molecular tools to analyze the genetic diversity of the plant. Methods and Results: Approximately 34.59 Gbp of raw data containing 342,487,502 reads was obtained from next generation sequencing (NGS) and these reads were assembled into 357,211 scaffolds. A total of 84,106 simple sequence repeat (SSR) regions were identified and 14,133 primer sets were designed. From the designed primer sets, 95 were randomly selected and were applied to the genomic DNA which was extracted from five plants and pooled. Thirty-nine primer sets showing more than two bands were finally selected as SSR markers, and were used for the genetic relationship analysis. Conclusions: The 39 novel SSR markers developed in this study could be used for the genetic diversity analysis, variety identification, new variety development and molecular breeding of A. triphylla.

Background: In the herbal medicinal industry, Angelica gigas Nakai, Angelica sinensis (Oliv.) Diels. and Angelica acutiloba (Siebold & Zucc.) Kitag. are often confused, because the roots of the three species can not be distinguished by their appearance. This confusion can cause serious side effects. In this study, we determined the origins of Angelica roots distributed in the Korean market using the simple sequence repeat (SSR) markers developed based on the A. gigas chloroplast DNA sequence. Methods and Results: We collected twenty seven A. gigas and three A. acutiloba samples from the Seoul, Daegu, and Cheongju herbal medicinal markets. Fifty sections of one collection were mixed and ground to make a powder, which was used for DNA extraction using the cetyl trimethylammonium bromide (CTAB) method. Chloroplast based SSR markers were applied to the DNA for the determination of the species. In addition, polymorphism was found in eight samples. The phylogenetic analysis showed that the A. gigas roots collected from herbal medicinal markets were clearly discriminated from A. sinensis and A. acutiloba even though they were grouped into four clusters. Conclusions: This study showed that chloroplast based SSR markers would help the discrimination of Angelica roots in the Korean herbal medicinal industry and the markers are useful to prevent confusion between Angelica roots.

Background : Angelica gigas, also called Dang Gui or Korean Angelica, is a major medicinal herb used in Asian countries such as Korea, Japan and China. A. gigas has many active constituents such as dercursin, decursinol angelate, nodakenetin, nodakenin, β-sisterol or α -pinene. But, there is no research on the gexpression of the genes related to saponin biosynthesis from A. gigas. In this study, we compared the expression of saponin biosynthesis related genes from various organs of A. gigas. Methods and Results : The reads of Angelica gigas mRNAs were produced using Illumina Hiseq 2000, and the reads were assembled to produce 113,597 contigs using CLC　Genomic Workbench. To select the saponin biosynthesis genes, assembled contigs were subjected to BLAST analysis at NCBI site. RNAs were extracted from five tissues, roots, stems, flowers, old leaves and young leaves of A. gigas. We produced total of 16 gene specific primers and used for RT-PCR. PCR conditions composed pre-denaturation at 95℃ for 3min, then 35 cycles of 95℃ for 30 sec, 57℃ for 30sec and 72℃ for 1min, and a final extension at 72℃ for 5min. Electrophoresis performed at 100 V, 30 min using 1.2% gel. Our experiment shows that A. gigas has several genes related to saponin biosynthesis and the genes were expressed from variety of organs. Conclusion : From the above results, we may suggest A. gigas genes related to the biosynthesis of saponins.