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Updated: Jan 19, 2026

Use of a Recombinant Mosquito Densovirus As a Gene Delivery Vector for the Functional Analysis of Genes in Mosquito Larvae
Published on: October 6, 2017
Extensive genomic recoding by codon-pair deoptimization selective for mammals is a flexible tool to generate
Charles B Stauft1, Yutong Song1, Oleksandr Gorbatsevych1
1Department of Molecular Genetics and Microbiology, Stony Brook University School of Medicine, Stony Brook, NY, USA.
Abstract:
The four serotypes of dengue virus (DENV) are the leading etiologic agent of disease caused by arthropod-borne viruses (arboviruses) in the world, with billions at risk of DENV infection spread by infected mosquitoes. DENV causes illness ranging from dengue fever (DF) to life-threatening dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). DENV proliferates well in two different host systems, an invertebrate mosquito vector and vertebrate primate host, which have a distinct difference in their preference of codon pairs (CP) for translation (different "codon pair bias"). Consequently, arboviruses must delicately balance the use of codon pairs between mammals and arthropods, which presents an Achilles' heel that we have exploited by specifically shifting the codon pair preference in the E and NS3 ORFs away from mammals while keeping the CPB favorable for mosquito ORFs. Here we report that recoding of the ORFs has led to variants that were over-attenuated in rhesus macaques although induction of protective antibodies in animals vaccinated with the smallest recoded ORF (E) was observed. The flexibility of our synthetic vaccine design (by decreasing the number of unfavorable CPs in the E ORF), allowed us to construct two new vaccine candidates (EhminA and EhminB) with intermediate attenuation in cell culture and neonatal mice, a result demonstrating proof of concept. New DENV vaccine candidates are being developed based on selective attenuation by dramatic recoding, with flexibility in balancing the attenuation and immunogenicity by marrying rational design and empirical modification.
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