The whitefly Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a phloem-feeding, economically important pest of crops worldwide. In addition to direct damage, it also vectors a number of plant viruses belonging to the family Geminiviridae. Its populations differ biologically with respect to insecticide resistance, virus transmission and host range. Therefore, understanding genetic variation among populations is important for management. We sequenced 850 bp of the mitochondrial COI (mtCOI) gene from B. tabaci populations surveyed across India. BLAST analysis of the mtCOI sequences generated in this study with sequences from the mtCOI dataset showed the presence of one invasive group, MEAM1, and eight other groups of B. tabaci in India. mtCOI sequence analyses showed the presence of Asia I, Asia I-India, Asia II-1, Asia II-5, Asia II-7, Asia II-8, and Asia II-11 genetic groups. We also found China-3 in a field in Birbhum district, West Bengal, India, suggesting a role of anthropogenic activities in the distribution of B. tabaci. Interestingly, more than one genetic group was found coexisting in the same field.

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For studies on functional genomics, small RNAs, especially microRNAs (miRNAs), have emerged as a hot topic due to their importance in cellular and developmental processes. Identification of insect miRNAs largely depends on the availability of genomic sequences in the public domain. The large milkweed bug, Oncopeltus fasciatus (Dallas) is a hemimetabolous insect which has become a model hemipteran system for various molecular studies. In this study, we identified 96 candidate mature miRNAs from O. fasciatus genome using a blast search with the previously reported animal miRNAs. The secondary structure of predicted miRNA sequences was determined online using "mfold" web server and verified by calculating the minimal free energy index (MFEI). Six miRNAs let-7e, miR-133c, miR-219b, mir-466d, mir-669f, and mir-669l are reported for the first time in Insecta. Comparison of O. fasciatus mir-2 and mir-71 family clusters to those of diverse insect species showed that they are highly conserved. The phylogenetic analysis of miRNAs revealed the evolutionary relationship of conserved miRNAs of O. fasciatus with other insect species. Using a classical rule-based algorithm method, we predicted the possible targets of the new miRNAs. Our study not only identified the list of miRNAs in O. fasciatus but also provides a basic platform for developing novel pest management strategies based on artificial miRNAs.