Generation and comparative genomics of synthetic dengue viruses

Eli Goz, Yael Tsalenchuck, Rony Oren Benaroya, Shimshi Atar, Tahel Altman, Justin Julander, Tamir Tuller*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Synthetic virology is an important multidisciplinary scientific field, with emerging applications in biotechnology and medicine, aiming at developing methods to generate and engineer synthetic viruses. Here we demonstrate a full multidisciplinary pipeline for generation and analysis of synthetic RNA viruses and specifically apply it to Dengue virus type 2 (DENV-2). The major steps of the pipeline include comparative genomics of endogenous and synthetic viral strains. In particular, we show that although the synthetic DENV-2 viruses were found to have lower nucleotide variability, their phenotype, as reflected in the study of the AG129 mouse model morbidity, RNA levels, and neutralization antibodies, is similar or even more pathogenic in comparison to the wildtype master strain. These results may suggest that synthetic DENV-2 may enhance virulence if the correct sequence is selected. The approach reported here can be used for understanding the functionality and the fitness effects of any set of mutations in viral RNA. It can be also used for editing RNA viruses for various target applications.

Original languageEnglish
Title of host publicationComparative Genomics - 15th International Workshop, RECOMB CG 2017, Proceedings
EditorsLuay Nakhleh, Joao Meidanis
PublisherSpringer Verlag
Number of pages22
ISBN (Print)9783319679785
StatePublished - 2017
Event15th International Workshop on Comparative Genomics, RECOMB CG 2017 - Barcelona, Spain
Duration: 4 Oct 20176 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10562 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference15th International Workshop on Comparative Genomics, RECOMB CG 2017


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