Title: DNA barcoding and annotation study on Anisomeles malabarica (L.) R.Br in BOLD system v.4

Authors: Santhana Lakshmi Balasubramaniam; Sivanandhan Ganeshan; Selvaraj Natesan; Kapildev Gnanajothi

Addresses: Translational Plant Research Laboratory, Department of Microbial Biotechnology, School of Biotechnology and Genetic Engineering, Bharathiar University, Coimbatore, Tamil Nadu 641046, India ' College of Agriculture and Life Sciences, Department of Horticulture Science, Chungnam National University, Daejeon 34134, South Korea ' Periyar E.V.R College (Autonomous), Tiruchirappalli, Tamil Nadu 620023, India ' Translational Plant Research Laboratory, Department of Microbial Biotechnology, School of Biotechnology and Genetic Engineering, Bharathiar University, Coimbatore, Tamil Nadu 641046, India

Abstract: Plant DNA barcoding is primarily used for species identification, and applications in taxonomy, conservation, ecology, forensics, and certification of herbal products. This technique follows the process of DNA extraction, amplification, and sequencing without the requirement of taxonomic expertise, making it easier, faster, and reliable than conventional approaches. The Barcode of Life Data (BOLD) system was developed by the Center for Biodiversity Genomics to store and analyse the data generated from massive barcodes. This system holds 13 million barcodes in organised projects, and represents 72,000 plant species. This article discusses the features of the BOLD system v.4, with a brief review on plant DNA barcoding. Anisomeles malabarica of Lamiaceae family, is been selected as the model plant, and its barcode data are documented in the workbench of BOLD. A unique DOI 10.5883/DS-AMBC22 and accession numbers from GenBank were generated for the barcodes in the public portal for reference and retrieval.

Keywords: DNA barcoding; species identification; BOLD systems; Anisomeles malabarica; GenBank; matK; rbcL; trnH psbA; dataset; projects.

DOI: 10.1504/IJBRA.2024.138710

International Journal of Bioinformatics Research and Applications, 2024 Vol.20 No.2, pp.97 - 115

Received: 25 Apr 2023
Accepted: 19 Jul 2023
Published online: 29 May 2024 *

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