Long-term context-dependent genetic adaptation of the viral genetic cloud.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 06 2019
Historique:
received: 17 05 2018
revised: 10 10 2018
accepted: 20 10 2018
pubmed: 23 10 2018
medline: 10 6 2020
entrez: 23 10 2018
Statut: ppublish

Résumé

RNA viruses generate a cloud of genetic variants within each host. This cloud contains high-frequency genotypes, and many rare variants. The dynamics of these variants is crucial to understand viral evolution and their effect on their host. We use an experimental evolution system to show that the genetic cloud surrounding the Coxsackie virus master sequence slowly, but steadily, evolves over hundreds of generations. This movement is determined by strong context-dependent mutations, where the frequency and type of mutations are affected by neighboring positions, even in silent mutations. This context-dependent mutation pattern serves as a spearhead for the viral population's movement within the adaptive landscape and affects which new dominant variants will emerge. The non-local mutation patterns affect the mutated dinucleotide distribution, and eventually lead to a non-uniform dinucleotide distribution in the main viral sequence. We tested these results on other RNA viruses with similar conclusions. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 30346482
pii: 5140216
doi: 10.1093/bioinformatics/bty891
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1907-1915

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Tzipi Braun (T)

Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel.

Antonio V Bordería (AV)

Institut Pasteur, Viral Populations and Pathogenesis, CNRS UMR 3569, Paris, France.

Cyril Barbezange (C)

Institut Pasteur, Viral Populations and Pathogenesis, CNRS UMR 3569, Paris, France.

Marco Vignuzzi (M)

Institut Pasteur, Viral Populations and Pathogenesis, CNRS UMR 3569, Paris, France.

Yoram Louzoun (Y)

Department of Mathematics and Gonda Brain Research Center, Bar-Ilan University, Ramat Gan, Israel.

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Classifications MeSH