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Generation and comparative genomics of synthetic dengue viruses
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, ar...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998877/ https://www.ncbi.nlm.nih.gov/pubmed/29745863 http://dx.doi.org/10.1186/s12859-018-2132-3 |
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author | Goz, Eli Tsalenchuck, Yael Benaroya, Rony Oren Zafrir, Zohar Atar, Shimshi Altman, Tahel Julander, Justin Tuller, Tamir |
author_facet | Goz, Eli Tsalenchuck, Yael Benaroya, Rony Oren Zafrir, Zohar Atar, Shimshi Altman, Tahel Julander, Justin Tuller, Tamir |
author_sort | Goz, Eli |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5998877 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59988772018-06-25 Generation and comparative genomics of synthetic dengue viruses Goz, Eli Tsalenchuck, Yael Benaroya, Rony Oren Zafrir, Zohar Atar, Shimshi Altman, Tahel Julander, Justin Tuller, Tamir BMC Bioinformatics Research 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. BioMed Central 2018-05-08 /pmc/articles/PMC5998877/ /pubmed/29745863 http://dx.doi.org/10.1186/s12859-018-2132-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Goz, Eli Tsalenchuck, Yael Benaroya, Rony Oren Zafrir, Zohar Atar, Shimshi Altman, Tahel Julander, Justin Tuller, Tamir Generation and comparative genomics of synthetic dengue viruses |
title | Generation and comparative genomics of synthetic dengue viruses |
title_full | Generation and comparative genomics of synthetic dengue viruses |
title_fullStr | Generation and comparative genomics of synthetic dengue viruses |
title_full_unstemmed | Generation and comparative genomics of synthetic dengue viruses |
title_short | Generation and comparative genomics of synthetic dengue viruses |
title_sort | generation and comparative genomics of synthetic dengue viruses |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998877/ https://www.ncbi.nlm.nih.gov/pubmed/29745863 http://dx.doi.org/10.1186/s12859-018-2132-3 |
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