Attenuation of a dengue virus replicon by codon deoptimization of nonstructural genes

Gayathri Manokaran, Sujatmoko, Kirsty Grace McPherson, Cameron Paul Simmons

Research output: Contribution to journalArticleResearchpeer-review

Abstract

The overwhelming increase of dengue virus (DENV) infections in recent years shows that current strategies to combat dengue do not work. The lack of a highly effective dengue vaccine and the limited effectivity of vector controls exacerbate this situation. To point the way to a novel method of creating DENV vaccine candidates, here we disrupted the codon usage in a DENV-2 reporter replicon to generate variants with different replication characteristics. Six different mutated constructs containing stretches of altered codon usage in the non-structural genes were generated. The mutated sequences were deoptimized to the least favorable codons for human cells. We studied the replication efficiency of these constructs by measuring luciferase reporter activity, relative RNA fold change, and NS1 secretion. Our findings showed that the level of virus attenuation is closely associated with the amount of codon deoptimization. Indeed, replication was completely abolished in extensively-deoptimized constructs D2Rep-6 and D2Rep-5, intermediate with constructs D2Rep-4 (771 bp silent mutations) and D2Rep-3 (756 bp silent mutations) and restored almost to wildtype levels with constructs D2Rep-2 (394 silent mutations) and D2Rep-1 (48 silent mutations). We also determined that the position of codon deoptimization within the genome is crucial to the degree of attenuation observed. Based on our analysis, we propose that the design for an ideal DENV vaccine candidate could include 700–1500 silent mutations within the NS2A and NS3 genes. Our results suggest that codon deoptimization is an ideal strategy that can readily be used to develop a DENV vaccine candidate with “fine-tuned” attenuation.

Original languageEnglish
Pages (from-to)2857-2863
Number of pages7
JournalVaccine
Volume37
Issue number21
DOIs
Publication statusPublished - 9 May 2019

Keywords

  • Attenuation
  • Codon deoptimization
  • Dengue
  • Replicon
  • Vaccine

Cite this

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abstract = "The overwhelming increase of dengue virus (DENV) infections in recent years shows that current strategies to combat dengue do not work. The lack of a highly effective dengue vaccine and the limited effectivity of vector controls exacerbate this situation. To point the way to a novel method of creating DENV vaccine candidates, here we disrupted the codon usage in a DENV-2 reporter replicon to generate variants with different replication characteristics. Six different mutated constructs containing stretches of altered codon usage in the non-structural genes were generated. The mutated sequences were deoptimized to the least favorable codons for human cells. We studied the replication efficiency of these constructs by measuring luciferase reporter activity, relative RNA fold change, and NS1 secretion. Our findings showed that the level of virus attenuation is closely associated with the amount of codon deoptimization. Indeed, replication was completely abolished in extensively-deoptimized constructs D2Rep-6 and D2Rep-5, intermediate with constructs D2Rep-4 (771 bp silent mutations) and D2Rep-3 (756 bp silent mutations) and restored almost to wildtype levels with constructs D2Rep-2 (394 silent mutations) and D2Rep-1 (48 silent mutations). We also determined that the position of codon deoptimization within the genome is crucial to the degree of attenuation observed. Based on our analysis, we propose that the design for an ideal DENV vaccine candidate could include 700–1500 silent mutations within the NS2A and NS3 genes. Our results suggest that codon deoptimization is an ideal strategy that can readily be used to develop a DENV vaccine candidate with “fine-tuned” attenuation.",
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Attenuation of a dengue virus replicon by codon deoptimization of nonstructural genes. / Manokaran, Gayathri; Sujatmoko; McPherson, Kirsty Grace; Simmons, Cameron Paul.

In: Vaccine, Vol. 37, No. 21, 09.05.2019, p. 2857-2863.

Research output: Contribution to journalArticleResearchpeer-review

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