Parasites & VectorsGenomicsPeer-reviewed journal article
Nanopore adaptive sampling for mitogenome sequencing and bloodmeal identification in hematophagous insects
Evan J. KippiD, Laramie L. LindseyiD, Cristina M. Blanco, Julia Baker, Marissa S. MilsteiniD, Christopher D. FaulkiD, Jonathan D. OliveriD, Peter A. LarseniD
Abstract
Blood-feeding insects are important vectors for an array of zoonotic pathogens. Despite significant research focused on well-documented insect vectors of One Health importance, resources for molecular species identification of a large number of hematophagous arthropods are limited. Advancements in next-generation sequencing technologies provide opportunities for targeting mitochondrial genomes of blood-feeding insects, as well as their bloodmeal hosts. This dual approach holds great promise for elucidating complex disease transmission pathways and enhancing the molecular resources for the identification of cryptic insect species. To this end, we leveraged the newly developed Oxford Nanopore Adaptive Sampling (NAS) pipeline to dually sequence the mitogenomes of hematophagous insects and their bloodmeals. Using NAS, we sequenced the entire mitogenomes of Aedes vexans, Culex restuans, Culex territans, and Chrysops niger and successfully identified bloodmeal hosts of Chrysops niger, Culex restuans, and Aedes trivittatus. We show that NAS has the utility to simultaneously molecularly identify blood-feeding insects and characterize disease transmission pathways through bloodmeal host identification. Moreover, our data indicate NAS can facilitate a wide array of molecular systematic studies through novel phylogenetic capture methods. We conclude the NAS approach has great potential for informing global One Health initiatives centered on the mitigation of vector-borne disease through dual vector and bloodmeal identification.
- assay: long-read sequencing
- research focus: phylogenetics / evolution
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 27
- FWCI
- 2.22
- Field percentile
- top 11%
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