Deepak Sharma1*, Tirtha Maiya Shrestha2 and Janardan Lamichhane1
1Department of Biotechnology, School of Science, Kathmandu University, Nepal
2Department of Pharmacy, Kathmandu University, Nepal
*Corresponding Author: Deepak Sharma and Janardan Lamichhane, Department of Biotechnology, School of Science, Kathmandu University, Nepal.
Received: February 24, 2020; Published: March 09, 2020
Myrica esculanta (Kafal), is one of the most important native medicinal plant of Nepal which is domesticated for economic growth for the rural people. To authenticate and develop molecular database we collect samples all over Nepal. DNA barcodes can be used as reliable tools to facilitate the identification of medicinal plants for the safe use, important for metal absorption and value added products. In this study, investigation of Myrica esculanta for its molecular identification by DNA barcoding was done through sequence analysis with three barcode loci rbcL, matK and ITS genes, and found only first two are be the best for it authentication based on databased search on NCBI. The nucleotide sequence of internal transcribed spacers (ITS2) and chloroplast maturase kinase gene (matK) and rbcL have determined close relationship among 12 other species of Myrica\; to construct the phylogenetic tree. The phylogenetic relationships of accessions based on the matK and rbcL region showed that all accessions in this study were related to three geographical origins. Based on sequence alignment and phylogenetic analyses and comparative sequence analysis based on sequence based taxonomic parameter on iBOLD database, we concluded that the rbcL and matK sequences can distinguish M. esculanta accessions from iBOLD database.
Keywords: DNA Barcoding; Internal Transcribed Spacer; Maturase K; Phylogenetic; iBOLD
Citation: Deepak Sharma., et al. “DNA Barcoding of Myrica esculanta (Kafal), An Indigenous, Multipurpose and Medicinal Plant Species from Nepal, by rbcL and matK Gene".Acta Scientific Pharmaceutical Sciences 4.4 (2020): 11-18.
Copyright: © 2020 Deepak Sharma., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.