Phylogenetic Analysis of the Economically Important Hymenopterans using cytochrome oxidase 1 Enzyme Sequences

Charul Charul, Sunali Bandral, Shivalika Shivalika, V. Dogra, M. Feroz, Umer Bin Farook, R. K. Panjaliya
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Abstract

Hymenoptera is the fourth diverse and the most economically important insect order comprising of bees, wasps, ants, sawflies etc. Being an important part of ecosystem, their conservation is of utmost importance. The first step towards conservation strategies is the identification of the species. The traditional morphological approach can sometimes lead to misidentification due to a lack of expertise. DNA barcoding using the small genomic fragments has been identified as an efficient tool in the identification as well as the phylogenetic analysis of the species. In the present study, we used the COI gene sequences as a tool for the characterization of Hymenoptera from different parts of the Jammu region. The collected samples were proceeded for the isolation of DNA, PCR for amplification of the COI gene, and then sequenced by Sanger dideoxy method. A total of 22 COI sequences belonging to 18 different species were successfully generated. Among which eight species sequences (Tachytes sp., Bombus trifasciatus, Rhynchium carnaticum, Ropalidia brevita, Lasioglossum marginatum, Camponotus pennsylvanicus, Tapinoma melanocephalum, Formica rufibarbis) are the novel contribution in the global database. NJ tree using the K2P model with 1000 bootstrap supporting values has been used to study the phylogeny of the species. Sequence analysis shows high AT content (67-77%) in the COI region of Hymenopterans. The generated COI sequence analysis also revealed less than 1% intra-specific divergence in the examined taxa, while the interspecific distances ranged between 8% to 38%. This study added significantly to the databases of DNA barcodes of Hymenopterans species from Jammu region.
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利用细胞色素氧化酶1酶序列分析膜翅目昆虫的系统发育
膜翅目昆虫包括蜜蜂、黄蜂、蚂蚁、锯蝇等,是第四种昆虫,也是经济上最重要的昆虫目。作为生态系统的重要组成部分,保护它们至关重要。保护策略的第一步是确定物种。由于缺乏专业知识,传统的形态学方法有时会导致错误识别。利用基因组小片段的DNA条形码已被确定为物种鉴定和系统发育分析的有效工具。在本研究中,我们使用COI基因序列作为鉴定查谟地区不同地区膜翅目昆虫的工具。采集标本进行DNA分离,PCR扩增COI基因,然后用桑格二脱氧法进行测序。共生成了18个不同种的22条COI序列。其中8个物种序列(Tachytes sp., Bombus trifasciatus, Rhynchium carnaticum, Ropalidia brevita, Lasioglossum marginatum, Camponotus pennsylvanicus, Tapinoma melanocephalum, Formica rufibarbis)是全球数据库的新贡献。采用K2P模型的NJ树(带1000个自举支持值)对物种的系统发育进行了研究。序列分析显示膜翅目昆虫COI区AT含量较高(67 ~ 77%)。生成的COI序列分析还显示,在所研究的分类群中,种内差异小于1%,而种间距离在8%至38%之间。该研究对查谟地区膜翅目昆虫的DNA条形码数据库有重要的补充作用。
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