Year: 2025
Type: article
Abstract: India, with its vast and diverse ecosystems, is home to a rich array of reptilian species, many of which are endemic or threatened by habitat loss and other anthropogenic pressures. Accurate species identification is critical for effective conservation, but traditional morphological methods often face challenges due to cryptic species, overlapping features, and the vast diversity of reptile species. DNA barcoding, a molecular technique that uses a short, standardized DNA marker (typically the mitochondrial cytochrome c oxidase I gene), has emerged as a powerful tool for species identification, particularly in complex and poorly understood groups like reptiles. This study explores the use of DNA barcoding for identifying and classifying reptiles in India. By analyzing DNA sequences from a wide range of reptilian species across the Indian subcontinent, we aim to resolve taxonomic ambiguities, uncover hidden species diversity, and contribute to more accurate biodiversity assessments. The results highlight the effectiveness of DNA barcoding in distinguishing between cryptic and morphologically similar species, such as certain snakes, lizards, and turtles. Additionally, we discuss how DNA barcoding can enhance conservation efforts by providing reliable species data that are crucial for monitoring population health, protecting endangered species, and informing management decisions. The study also emphasizes the need for expanding India’s molecular reference database to improve species identification accuracy and strengthen conservation strategies. This research underscores DNA barcoding as a valuable tool for understanding and preserving India’s rich reptilian biodiversity, offering potential solutions to the growing challenges of reptile conservation.
Authors: Divyansh Kumar, Dr. Manoj Kumar, Dr. Dev Brat Mishra, Dr. D.P. Singh
Institution: Chaudhary Charan Singh University
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4412373515