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Development of Chloroplast DNA-Based Simple Sequence Repeat Markers for Angelica Species Differentiation

당귀 종판별을 위한 엽록체 기반 SSR 마커 개발

  • Park, Sang Ik (Department of Industrial Plant Science and Technology, Chungbuk National University) ;
  • Kim, Serim (Department of Industrial Plant Science and Technology, Chungbuk National University) ;
  • Gil, Jinsu (Department of Industrial Plant Science and Technology, Chungbuk National University) ;
  • Lee, Yi (Department of Industrial Plant Science and Technology, Chungbuk National University) ;
  • Kim, Ho Bang (Life Sciences Research Institute, Biomedic Co. Ltd.) ;
  • Lee, Jung Ho (Green Plant Institute) ;
  • Kim, Seong Cheol (Department of Herbal Crop Research, NIHHS, RDA) ;
  • Jung, Chan Sik (Department of Herbal Crop Research, NIHHS, RDA) ;
  • Um, Yurry (Forest Medicinal Resources Research Center, National Institute of Forest Sciecne)
  • 박상익 (충북대학교 농업생명환경대학 특용식물학과) ;
  • 김세림 (충북대학교 농업생명환경대학 특용식물학과) ;
  • 길진수 (충북대학교 농업생명환경대학 특용식물학과) ;
  • 이이 (충북대학교 농업생명환경대학 특용식물학과) ;
  • 김호방 ((주)바이오메딕 생명과학연구소) ;
  • 이정호 ((주)녹색식물연구소) ;
  • 김성철 (농촌진흥청 국립원예특작과학원 인삼특작부 약용작물과) ;
  • 정찬식 (농촌진흥청 국립원예특작과학원 인삼특작부 약용작물과) ;
  • 엄유리 (국립산림과학원 산림약용자원연구소)
  • Received : 2016.05.30
  • Accepted : 2016.08.04
  • Published : 2016.08.30

Abstract

Background: In the herbal medicine market, Angelica gigas, Angelica sinensis, and Angelica acutiloba are all called "Danggui" and used confusingly. We aimed to assess the genetic diversity and relationships among 14 Angelica species collected from different global seed companies. Toward this aim we developed DNA markers to differentiate the Angelica species. Methods and Results: A total of 14 Angelica species, A. gigas, A. acutiloba, A. sinensis, A. pachycarpa, A. hendersonii, A. arguta, A. keiskei, A. atropurpurea, A. dahurica, A. genuflexa, A. tenuissima, A. archangelica, A. taiwaniana, and A. hispanica were collected. The genetic diversity of all 14 species was analyzed by using five chloroplast DNA-based simple sequence repeat (SSR) markers and employing the DNA fragment analysis method. Each primer amplified 3 - 12 bands, with an average of 6.6 bands. Based on the genetic diversity analysis, these species were classified into specific species groups. The cluster dendrogram showed that the similarity coefficients ranged from 0.77 to 1.00. Conclusions: These findings could be used for further research on cultivar development by using molecular breeding techniques and for conservation of the genetic diversity of Angelica species. The analysis of polymorphic SSRs could provide an important experimental tool for examining a range of issues in plant genetics.

Keywords

References

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