Suppr超能文献

基于核苷酸的验证奥西姆物种通过评估叶绿体区域的三个候选条形码。

Nucleotide based validation of Ocimum species by evaluating three candidate barcodes of the chloroplast region.

机构信息

Department of Biotechnology, School of Biotechnology and Health Sciences, Karunya Institute of Technology and Sciences, Karunya University, Coimbatore, 641114, Tamil Nadu, India.

出版信息

Mol Ecol Resour. 2014 Jan;14(1):60-8. doi: 10.1111/1755-0998.12167. Epub 2013 Oct 25.

Abstract

The genus Ocimum comprises of several medicinally important species which frequently fall prey to adulteration due to misidentification. A proficient method is hence required to solve the problems that exist in differentiating its various morphotypes. In plants, candidate DNA barcodes of the chloroplast and nuclear regions have proved to be a great success in the validation of several plant families. Hence, this study involves the use of the molecular-based DNA barcoding method to identify some of the most common and useful species of the genus Ocimum (Tulsi). Here, DNA amplification of three candidate barcodes of the chloroplast genome viz. matK, rbcL and psbA-trnH was performed, to access their ability to produce high sequence variability. The discrimination among species was performed using the Kimura 2-parameter and maximum composite likelihood methods. On analysing the sequence data, the psbA-trnH region proved to be the most suitable candidate barcode and gave an overall variation of 7.3% at the interspecies level. A clear differentiation was found at the species level, showing a maximum distance of 0.264 between dissimilar species. Also, phylogenetic analysis led to the successful identification of hybrids, while it failed to do so at the variety level. Hence, it can be inferred that DNA barcoding is ideal for species-level identification of the genus Ocimum.

摘要

罗勒属包含几种药用重要物种,由于鉴定错误,这些物种经常成为掺假的受害者。因此,需要一种熟练的方法来解决区分其各种形态型的问题。在植物中,叶绿体和核区的候选 DNA 条码已被证明在验证几个植物科方面取得了巨大成功。因此,本研究采用基于分子的 DNA 条码方法来鉴定罗勒属(Tulsi)中一些最常见和最有用的物种。在这里,对叶绿体基因组的三个候选条码 matK、rbcL 和 psbA-trnH 进行了 DNA 扩增,以评估它们产生高序列变异性的能力。使用 Kimura 2-参数和最大复合似然法在种间水平上进行物种间的区分。在分析序列数据时,psbA-trnH 区域被证明是最合适的候选条码,在种间水平上的总体变异为 7.3%。在种间水平上发现了明显的分化,不同物种之间的最大距离为 0.264。此外,系统发育分析成功地鉴定了杂种,但在品种水平上却未能成功。因此,可以推断 DNA 条码是鉴定罗勒属物种的理想方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验