Parveen Iffat, Singh Hemant K, Malik Saloni, Raghuvanshi Saurabh, Babbar Shashi B
a Department of Botany, University of Delhi, Delhi 110007, India.
b National Centre for Natural Products Research, School of Pharmacy, University of Mississippi, Oxford, MS 38677, USA.
Genome. 2017 Aug;60(8):665-671. doi: 10.1139/gen-2016-0215. Epub 2017 May 17.
Orchidaceae, one of the largest families of angiosperms, is represented in India by 1600 species distributed in diverse habitats. Orchids are in high demand owing to their beautiful flowers and therapeutic properties. Overexploitation and habitat destruction have made many orchid species endangered. In the absence of effective identification methods, illicit trade of orchids continues unabated. Considering DNA barcoding as a potential identification tool, species discrimination capability of five loci, ITS, matK, rbcL, rpoB, and rpoC1, was tested in 393 accessions of 94 Indian orchid species belonging to 47 genera, including one listed in Appendix I of CITES and 26 medicinal species. ITS provided the highest species discrimination rate of 94.9%. While, among the chloroplast loci, matK provided the highest species discrimination rate of 85.7%. None of the tested loci individually discriminated 100% of the species. Therefore, multi-locus combinations of up to five loci were tested for their species resolution capability. Among two-locus combinations, the maximum species resolution (86.7%) was provided by ITS+matK. ITS and matK sequences of the medicinal orchids were species specific, thus providing unique molecular identification tags for their identification and detection. These observations emphasize the need for the inclusion of ITS in the core barcode for plants, whenever required and available.
兰科是被子植物中最大的科之一,在印度有1600个物种,分布于各种不同的栖息地。兰花因其美丽的花朵和药用特性而需求量很大。过度开发和栖息地破坏已使许多兰花物种濒临灭绝。由于缺乏有效的鉴定方法,兰花的非法贸易仍在持续且未得到遏制。考虑到DNA条形码作为一种潜在的鉴定工具,对属于47个属的94种印度兰花的393份材料测试了5个基因座(ITS、matK、rbcL、rpoB和rpoC1)的物种鉴别能力,其中包括一种列入《濒危野生动植物种国际贸易公约》附录I的物种和26种药用物种。ITS的物种鉴别率最高,为94.9%。而在叶绿体基因座中,matK的物种鉴别率最高,为85.7%。没有一个测试基因座能单独鉴别100%的物种。因此,测试了多达5个基因座的多基因座组合的物种分辨能力。在双基因座组合中,ITS+matK的物种分辨能力最强(86.7%)。药用兰花的ITS和matK序列具有物种特异性,从而为其鉴定和检测提供了独特的分子识别标签。这些观察结果强调,在需要且可行时,有必要将ITS纳入植物核心条形码中。