DNA barcoding of Geometridae moths (Insecta: Lepidoptera): a preliminary effort from Namdapha National Park, Eastern Himalaya. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Kumar, Vikas; Kundu, Shantanu; Chakraborty, Rajasree; Sanyal, Abesh; Raha, Angshuman; Sanyal, Oyndrila; Ranjan, Rahul; Pakrashi, Avas; Tyagi, Kaomud; Chandra, Kailash
• Is Part Of: Mitochondrial DNA. Volume 4:Issue 1(2019)
• Page Start: 309
• Page End: 315
• Publication Date: 2019-01-02
• Subjects: Indo-Burma -- Lepidoptera -- cryptic species -- mtCOI -- species diversity; Mitochondrial DNA -- Periodicals; 572.869
• DOI: 10.1080/23802359.2018.1544037
• Languages: English
• ISSNs: 2380-2359

Abstract

Abstract: The order Lepidoptera is a highly diverse and well-established indicator taxon that helps to monitor anthropogenic threats in the environment and climate change. In India, the taxonomic studies on Lepidoptera have been started long ago, but the molecular studies have been performed rarely, especially in the Himalayan region. The present study generated DNA barcode sequence of 44 Geometridae moths from Namdapha National Park in Eastern Himalaya and identified them through wing pattern and genitalia structure. Among them, the DNA barcode data of 13 Geometridae species are the novel contribution in the global database. All the studied species were revealed sufficient Kimura 2 Parameter (K2P) genetic divergence and distinguished by Bayesian (BA) tree. The genus Problepsis (subfamily Sterrhinae), Pelagodes and Lophophelma (subfamily Geometrinae) showed distinct clades with their respective species in the BA tree. The BA cladogram successfully separated the studied specimens under three different tribes; Macariini, Eutoeini, and Boarmiini (subfamily Ennominae). The study further revealed the new records of two Geometridae moths, Pelagodes bellula and Hypomecis costaria from India. Nevertheless, more than one clade of Cleora, Hypomecis, and Chiasmia in BA tree; further impelled more rigorous sampling of the studied taxon from different geographical regions for better systematic interpretation.