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Evaluation of the discriminatory power of plant dna barcodes rbcl & matk between species of fabaceae

机译：Fabaceae物种之间植物dna条形码rbcl和matk的区分能力的评估

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摘要

For species identification, .DNA barcoding is a novel diagnostic technique, the aim of which is to contribute towards wide range of ecological and conservation studies. In this study, we evaluated the capacity of the core DNA barcodes rbcla and matK for identifying 62 plant specimen belonging to 22 species of Fabaceae. All plant specimen were collected from district Dera Ghazi Khan, Punjab, Pakistan. In this research work, highest mean pairwise interspecific distance showed by matK and lowest for rbcl. Based on ‘best match’ and ‘best close match’ analysis function of TaxonDNA , both matK and rbcl was best with almost 73% correct identification, while based on ‘all species barcodes’ analysis, rbcl and matK gave the lowest percentage of correct species identifications 64.51% & 51.11%, respectively. By using MEGA5, for each marker neighbor joining (N/J) trees based on Kimur-2-parameter (K2P) were produced. In tree based analysis, species were considered to be discriminated. that form separate clusters in the tree with a bootstrap support >50%.. In this study both plant DNA barcodes in combination (rbcl +matK) showed best discriminatory power between different species of Fabaceae.
机译：对于物种识别，.DNA条码是一种新颖的诊断技术，其目的是促进广泛的生态和保护研究。在这项研究中，我们评估了核心DNA条码rbcla和matK的能力，它们可以识别属于Fabaceae的22种植物的62个植物标本。所有植物标本均采自巴基斯坦旁遮普邦的Dera Ghazi Khan地区。在这项研究工作中，matK显示了最高的平均成对种间距离，而rbcl的最低。根据TaxonDNA的“最佳匹配”和“最佳紧密匹配”分析功能，matK和rbcl均具有最佳识别率，正确识别率接近73％，而基于“所有物种条形码”分析，rbcl和matK给出的正确物种比例最低识别率分别为64.51％和51.11％。通过使用MEGA5，为每个标记生成了基于Kimur-2-参数（K2P）的邻接树（N / J）。在基于树的分析中，物种被认为是有区别的。可以在树上形成单独的簇，并具有> 50％的引导程序。.在这项研究中，两种植物DNA条形码的组合（rbcl + matK）都显示了不同种类的豆科植物之间的最佳区分能力。

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