...
首页> 外文期刊>International Journal of Agriculture and Biology >Developing DNA Barcodes for Species Identification of Berberis and Dysosma Genera in Vietnam
【24h】

Developing DNA Barcodes for Species Identification of Berberis and Dysosma Genera in Vietnam

机译:正在开发用于识别小Ber和恶臭属的DNA条形码

获取原文
           

摘要

Berberidaceae is the well-known traditional herbal medicine family, including 14 genera and about 700 species, and is considered as a very complex family in term of classification. Nowaday, DNA barcoding can be used to overcome the existed limitation in morphological-based species identification of this family. Therefore, the objective of this study was to find the most efficient DNA barcode regions for identifying species of Berberis and Dysosma genera. Leaf specimens of Berberis wallichianae, Berberis julianae, Mahonia bealei, and Dysosma difformis were collected and dried in silica gel. Total DNA extraction and purification, PCR amplification and DNA sequencing were performed with standard chemicals and kits. Six candidate DNA barcode regions including ITS, matK, 18S, psbA-trnH, rbcL, and trnL were amplified, and sequenced. Data were analysed using Seqscape 2.6, DNASTAR Lasergene 7.1, Bioedit 7.0.9.0, and MEGA 7 softwares. Analysis of six obtained DNA barcode sequences of collected samples revealed that ITS and psbA-trnH regions provided the lowest similarity in sequence and the highest species discriminating power for Berberis genus, while ITS and 18S regions were suitable for species identification of Dysosma genus. Accordingly, phylogenetic trees based on ITS, psbA-trnH, and 18S sequences were constructed. In this study, ITS and psbA-trnH regions were the most efficient markers for molecular identification of species belong to Berberis genus. ITS and 18S regions were considered as DNA barcodes for species discrimination of Dysosma genus. Our results support the identification of valuable medicinal plant species within Berberis and Dysosma genera.
机译:小ber科是著名的传统草药科,包括14个属和大约700种,在分类上被认为是一个非常复杂的科。如今,DNA条形码可用于克服该家族基于形态的物种鉴定中存在的局限性。因此,本研究的目的是找到最有效的DNA条形码区域,以识别小ber属和恶臭属。收集小Ber小叶菊,小Ber小叶菊,大叶红毛丹和Dysosma difformis的叶片标本,并在硅胶中干燥。使用标准化学品和试剂盒进行总DNA提取和纯化,PCR扩增和DNA测序。扩增并测序了六个候选DNA条码区域,包括ITS,matK,18S,psbA-trnH,rbcL和trnL。使用Seqscape 2.6,DNASTAR Lasergene 7.1,Bioedit 7.0.9.0和MEGA 7软件分析数据。对收集的样品的六个获得的DNA条码序列进行分析后发现,ITS和psbA-trnH区在小Ber属中提供的序列相似性最低,物种识别能力最高,而ITS和18S区则适用于味觉菌属的物种鉴定。因此,构建了基于ITS,psbA-trnH和18S序列的系统发育树。在这项研究中,ITS和psbA-trnH区是分子识别属于小Ber属的最有效的标记。 ITS和18S区域被视为DNA条形码,用于鉴别异味症属。我们的结果支持在小ber属和味觉属中鉴定有价值的药用植物物种。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号