About: Generation and comparative genomics of synthetic dengue viruses

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Generation and comparative genomics of synthetic dengue viruses
Creator	Julander, Justin Altman, Tahel Atar, Shimshi Goz, Eli Tsalenchuck, Yael Tuller, Tamir Zafrir, Zohar Benaroya, Oren Rony, †
Source	PMC
abstract	BACKGROUND: 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. In particular, many of the RNA viruses, including among others the Dengue and Zika, are widespread pathogens of significant importance to human health. The ability to design and synthesize such viruses may contribute to exploring novel approaches for developing vaccines and virus based therapies. RESULTS: Here we develop a full multidisciplinary pipeline for generation and analysis of synthetic RNA viruses and specifically apply it to Dengue virus serotype 2 (DENV-2). The major steps of the pipeline include comparative genomics of endogenous and synthetic viral strains. Specifically, 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. Additionally, the highly variable positions, identified in the analyzed DENV-2 population, were found to overlap with less conserved homologous positions in Zika virus and other Dengue serotypes. These results may suggest that synthetic DENV-2 could enhance virulence if the correct sequence is selected. CONCLUSIONS: The approach reported in this study can be used to generate and analyze synthetic RNA viruses both on genotypic and on phenotypic level. It could be applied for understanding the functionality and the fitness effects of any set of mutations in viral RNA and for editing RNA viruses for various target applications. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2132-3) contains supplementary material, which is available to authorized users.
has issue date	2018-05-08(xsd:dateTime)
bibo:doi	10.1186/s12859-018-2132-3
bibo:pmid	29745863
has license	cc-by
sha1sum (hex)	edcf92549f64338ff9e1d47d45b150ef4d6177b0
schema:url	https://doi.org/10.1186/s12859-018-2132-3
resource representing a document's title	Generation and comparative genomics of synthetic dengue viruses
has PubMed Central identifier	PMC5998877
has PubMed identifier	29745863
schema:publication	BMC Bioinformatics
resource representing a document's body	covid:edcf92549f64338ff9e1d47d45b150ef4d6177b0#body_text
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