title: Nucleotide based validation of Ocimum species by evaluating three candidate barcodes of the chloroplast region.
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.
authors.affiliation: Department of Biotechnology, School of Biotechnology and Health Sciences, Karunya Institute of Technology and Sciences, Karunya University, Coimbatore, 641114, Tamil Nadu, India.
authors.forename: V L P
authors.initials: VL
authors.lastname: Christina
authors.forename: A
authors.initials: A
authors.lastname: Annamalai
mesh_terms: D016000:Cluster Analysis; D058893:DNA Barcoding, Taxonomic; D018742:DNA, Chloroplast / Q000737:chemistry / Q000235:genetics*; D014644:Genetic Variation; D008969:Molecular Sequence Data; D031339:Ocimum / Q000145:classification* / Q000235:genetics*; D010802:Phylogeny; D010940:Plant Proteins / Q000235:genetics; D017422:Sequence Analysis, DNA
chemical_list: D018742:DNA, Chloroplast; D010940:Plant Proteins
keywords: Ocimum spp.; medicinal plants; pairwise distance analysis; psbA-trnH; species identification