Stability and Accuracy Assessment of Identification of Traditional Chinese Materia Medica Using DNA Barcoding: A Case Study on Flos Lonicerae Japonicae. (5th June 2013)

• Record Type: Journal Article
• Authors: Hou, Dianyun; Song, Jingyuan; Shi, Linchun; Ma, Xiaochong; Xin, Tianyi; Han, Jianping; Xiao, Wei; Sun, Zhiying; Cheng, Ruiyang; Yao, Hui
• Other Names: Häggman H. M. Academic Editor.
• Is Part Of: BioMed research international. Volume 2013(2013)
• Publication Date: 2013-06-05
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2013/549037
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : DNA barcoding is a novel molecular identification method that aids in identifying traditional Chinese materia medica using traditional identification techniques. However, further study is needed to assess the stability and accuracy of DNA barcoding. Flos Lonicerae Japonicae, a typical medicinal flower, is widely used in China, Korea, and other Southeast Asian countries. However, Flos Lonicerae Japonicae and its closely related species have been misused and traded at varying for a wide range of prices. Therefore, Flos Lonicerae Japonicae must be accurately identified. In this study, the ITS2 and psbA-trnH regions were amplified by polymerase chain reaction (PCR). Sequence assembly was performed using CodonCode Aligner V 3.5.4. The intra- versus inter-specific variations were assessed using six metrics and "barcoding gaps." Species identification was conducted using BLAST1 and neighbor-joining (NJ) trees. Results reveal that ITS2 and psbA-trnH exhibited an average intraspecific divergence of 0.001 and 0, respectively, as well as an average inter-specific divergence of 0.0331 and 0.0161. The identification efficiency of ITS2 and psbA-trnH evaluated using BLAST1 was 100%. Flos Lonicerae Japonicae was formed into one clade through the NJ trees. Therefore, Flos Lonicerae Japonicae can be stably and accurately identified through the ITS2 and psbA-trnH regions, respectively.