NatureGenomicsPeer-reviewed journal article
Improved Aedes aegypti mosquito reference genome assembly enables biological discovery and vector control
Benjamin John MatthewsiD, Olga DudchenkoiD, Sarah B. KinganiD, Sergey KoreniD, Igor A. AntoshechkiniD, Jacob E. CrawfordiD, William J. GlassfordiD, Margaret HerreiD, Seth N. RedmondiD, Noah H. RoseiD, Gareth D. WeedalliD, Yang WuiD, Sanjit Singh BatraiD, Carlos A. Brito-SierraiD, Steven David BuckinghamiD, Corey L. CampbelliD, Saki ChaniD, Eric D. CoxiD, Benjamin R. EvansiD, Thanyalak FansiriiD, Igor FilipovićiD, Albin FontaineiD, Andrea Gloria‐SoriaiD, Richard J. HalliD, Vinita JoardariD, , Leslie B. VosshalliD
Abstract
Female Aedes aegypti mosquitoes infect hundreds of millions of people each year with dangerous viral pathogens including dengue, yellow fever, Zika, and chikungunya. Progress in understanding the biology of this insect, and developing tools to fight it, has been slowed by the lack of a high-quality genome assembly. Here we combine diverse genome technologies to produce AaegL5, a dramatically improved and annotated assembly, and demonstrate how it accelerates mosquito science and control. We anchored the physical and cytogenetic maps, resolved the size and composition of the elusive sex-determining \"M locus\", significantly increased the known members of the glutathione-S-transferase genes important for insecticide resistance, and doubled the number of chemosensory ionotropic receptors that guide mosquitoes to human hosts and egg-laying sites. Using high-resolution QTL and population genomic analyses, we mapped new candidates for dengue vector competence and insecticide resistance. We predict that AaegL5 will catalyse new biological insights and intervention strategies to fight this deadly arboviral vector.
- organism: Arabidopsis
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 601
- FWCI
- 64.25
- Field percentile
- top 1%
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