Tahir Hafiz Muhammad, Noor Alina, Mehmood Sana, Sherawat Sher Muhammad, Qazi Muhammad Akram
Department of Zoology, Government College University, Lahore, Pakistan.
Department of Agriculture Extension, Devis Road lahore, Pakistan.
Mitochondrial DNA B Resour. 2018 Oct 26;3(2):1220-1224. doi: 10.1080/23802359.2018.1532334.
Accurate identification of agricultural pests is key requirement for the successful integrated pest management (IPM) program. However, due to limitations of conventional morphological methods, other molecular method like DNA barcoding is used. The current study was designed to evaluate the accuracy of morphological identification of insect pests using DNA barcoding. Morphologically, a total of 247 insect pests, representing 10 families, 18 genera, 22 species were identified. However, molecular identifications confirmed the presence of 11 families, 16 genera, and 20 species of agricultural pests. A total of 59 specimens were processed for DNA barcoding but genomic sequences of mt COI gene up to 600 bp were revived from 48 samples. Specimens that were misidentified through morphological studies were placed to their appropriate taxon, using this molecular approach. Results revealed the existence of clear barcode gap for different pest species. Moreover, the values of distance with the nearest neighbour recorded were higher than the maximum intra-sequence divergences for all species. It is concluded that DNA barcoding is a reliable technique for identification of agricultural pests, especially for immature stages when morphometric studies are ambiguous and will be helpful in the development of more effective pest management options for regulating pest species.
准确识别农业害虫是成功实施综合虫害管理(IPM)计划的关键要求。然而,由于传统形态学方法的局限性,人们开始使用其他分子方法,如DNA条形码技术。本研究旨在评估利用DNA条形码技术进行害虫形态学鉴定的准确性。从形态学上看,共鉴定出247种害虫,分属于10个科、18个属、22个种。然而,分子鉴定证实存在属于11个科、16个属、20个种的农业害虫。总共对59个样本进行了DNA条形码分析,但从48个样本中获得了长度达600 bp的线粒体细胞色素氧化酶亚基I(mt COI)基因的基因组序列。利用这种分子方法,将形态学研究中误鉴的样本归到了合适的分类单元。结果显示不同害虫物种存在明显的条形码间隙。此外,所有物种与最近邻种的距离值均高于最大序列内差异值。研究得出结论,DNA条形码技术是一种可靠的农业害虫鉴定技术,特别是在形态测量研究结果不明确的未成熟阶段,该技术将有助于开发更有效的害虫管理方案来调控害虫物种。