Assessment of candidate plant DNA barcodes using the Rutaceae family

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• 作者：Kun Luo (1) (2)
  ShiLin Chen (1)
  KeLi Chen (2)
  JingYuan Song (1)
  Hui Yao (1)
  Xinye Ma (1)
  YingJie Zhu (3)
  XiaoHui Pang (1)
  Hua Yu (1)
  XiWen Li (1) (4)
  Zhen Liu (2)
  
• 关键词：DNA barcoding ; ITS2 ; Rutaceae ; identification
• 刊名：Science China Life Sciences
• 出版年：2010
• 出版时间：June 2010
• 年：2010
• 卷：53
• 期：6
• 页码：701-708
• 全文大小：549KB
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• 作者单位：Kun Luo (1) (2)
  ShiLin Chen (1)
  KeLi Chen (2)
  JingYuan Song (1)
  Hui Yao (1)
  Xinye Ma (1)
  YingJie Zhu (3)
  XiaoHui Pang (1)
  Hua Yu (1)
  XiWen Li (1) (4)
  Zhen Liu (2)
  
  1. Institute of Medicinal Plant Development, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100193, China
  2. College of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430061, China
  3. School of Bioscience and Engineering, Southwest Jiaotong University, Chengdu, 610031, China
  4. Department of Chemistry, Tsinghua University, Beijing, 100084, China
  

文摘

DNA barcoding is a rapidly developing frontier technology that is gaining worldwide attention. Here, seven regions (psbA-trnH, matK, ycf5, rpoC1, rbcL, ITS2, and ITS) with potential for use as DNA barcodes were tested for their ability to identify 300 samples of 192 species from 72 genera of the family Rutaceae. To evaluate each barcode’s utility for species authentication, PCR amplification efficiency, genetic divergence, and barcoding gaps were assessed. We found that the ITS2 region exhibited the highest inter-specific divergence, and that this was significantly higher than the intra-specific variation in the “DNA barcoding gap-assessment and Wilcoxon two-sample tests. The ITS2 locus had the highest identification efficiency among all tested regions. In a previous study, we found that ITS2 was able to discriminate a wide range of plant taxa, and here we confirmed that ITS2 was also able to discriminate a number of closely related species. Therefore, we propose that ITS2 is a promising candidate barcode for plant species identification.