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-Reference-Cited by-同舟云学术

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

Published:2016-02-29 Issue:3 Volume:21 Page:270
ISSN:1420-3049
Container-title:Molecules
language:en
Short-container-title:Molecules

Author:

Kim Wook,Moon Byeong,Yang Sungyu,Han Kyeong,Choi Goya,Lee A

Publisher

MDPI AG

Subject

Chemistry (miscellaneous),Analytical Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Molecular Medicine,Drug Discovery,Pharmaceutical Science

Link

http://www.mdpi.com/1420-3049/21/3/270/pdf

Reference33 articles.

1. Chinese Herbal Medicine Matria Medica;Dan,2004

2. The Korean Pharmacophoeia,2014

3. Defining Dictionary for Medicinal Herbs in Korea Institute of Oriental Medicinehttp://boncho.kiom.re.kr/codex/

4. Efficiency of improved RAPD and ISSR markers in assessing genetic diversity and relationships in Angelica sinensis (Oliv.) Diels varieties of China;Mei;Electron. J. Biotechnol.,2015

5. Identification of species and materia medica within Angelica L. (Umbelliferae) based on phylogeny inferred from DNA barcodes

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