A Next Generation Sequencing Multi-Loci DNA Barcoding Approach for Helicoverpa armigera Detection

Friday, January 6, 2017: 9:00 AM
Reunion F (Hyatt Regency Dallas)
Jason A. Wulff , Texas A&M University Department of Entomology
Todd M. Gilligan , USDA-APHIS
Norman B. Barr , USDA-APHIS
Omaththage P. Perera , USDA-ARS
Tom Walsh , CSIRO
Gregory A. Sword , Texas A&M University
The Old World Bollworm, Helicoverpa armigera (Hubner), is a highly destructive agricultural pest that recently invaded South America and Puerto Rico. Rapid detection and response is crucial to preventing its invasion into North America. However, it is very difficult to distinguish between it and H. zea (Boddie), a closely related pest that is native to the New World. Morphological species identification is only possible through dissection of adult male genitalia; larvae and adult females cannot be distinguished. Real-time PCR techniques can identify H. armigera using variation in the rRNA internal transcribed spacer regions 1 &2 (ITS1 & ITS2). However, the reliance on single genes could overlook hybridized invaders. To improve our abilities to detect H. armigera DNA in pest surveillance material, we adapt Next Generation Sequencing (NGS) of DNA barcodes to simultaneously sequence multiple genes from bulk DNA of unknown species, which can originate from domestic trap surveys.

We first extracted DNA from pooled adult legs of both species. We then PCR amplified four, species-diagnostic, gene regions: rRNA internal transcribed spacer regions 1 &2 (ITS1 & ITS2), cytochrome oxidase 1 (CO1), a Z-linked triosephosphate isomerase (Tpi), and a P450 enzyme CYP337B3 that encodes fenvalerate resistance in H. armigera.  We sequenced these on an Illumina Miseq and adapted a metagenomics bioinformatics pipeline to resolve the two species. We were able to successfully detect trace amounts of H. armigera genes within bulk DNA mixtures. As more diagnostic gene targets are identified they can be incorporated into our technique for robust detection. Additionally, this technique can be readily adapted to detect additional cryptic pest species.