Molecular characterization of some potential ethnomedicinal plants used for treatment of diabetes in Nagaland, India

The use of medicinal plants for managing diabetes and related conditions has been an integral part of traditional healthcare systems throughout the world including Nagaland, India. Authentic identification of these medicinal plants is crucial for their safe and effective use. A study was aimed for authentic identification of some anti-diabetic potential ethnomedicinal plants from Nagaland, India using DNA sequence based molecular characterization by amplifying and sequencing of ITS, rbcL and matK barcode regions. DNA barcode loci from the nuclear and chloroplast genomes from 15 different ethnomedicinal anti-diabetic plants of Nagaland, India, were studied for molecular characterisation. Based on the ITS, rbcL and matK region sequences, three main discrimination methods, i.e., BLAST, Phylogenetic tree and genetic distance, were adopted to identify the species. Utilising DNA markers for identification is both highly advantageous and efficient due to its reliability and rapidity. Successful amplification across species and high blast hits (100 % identity) highlighted their potential for molecular characterisation. Phylogenetic trees constructed using various models showed distinct clades and subclades, with matK revealing hypervariability and rbcL demonstrating consistent matches. Genetic distances revealed varying levels of similarity, with certain species establishing close relationships based on pairwise comparisons. GC% variations were detected, potentially indicating nucleotide composition differences and functional constraints among species genomes. The findings of this study highlight that the ITS, rbcL, and matK regions serve as effective markers for verifying the authenticity of anti-diabetic medicinal plants indigenous to Nagaland, India. (c) 2024 SAAB. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.