Frustration and fidelity in influenza genome assembly.

TitleFrustration and fidelity in influenza genome assembly.
Publication TypeJournal Article
Year of Publication2019
AuthorsFarheen N, Thattai M
JournalJ R Soc Interface
Volume16
Issue160
Pagination20190411
Date Published2019 Nov 29
ISSN1742-5662
KeywordsComputer Simulation, Genome, Viral, Humans, Influenza A virus, Models, Biological, RNA, Viral, Virion, Virus Assembly
Abstract

The genome of the influenza virus consists of eight distinct single-stranded RNA segments, each encoding proteins essential for the viral life cycle. When the virus infects a host cell, these segments must be replicated and packaged into new budding virions. The viral genome is assembled with remarkably high fidelity: experiments reveal that most virions contain precisely one copy of each of the eight RNA segments. Cell-biological studies suggest that genome assembly is mediated by specific reversible and irreversible interactions between the RNA segments and their associated proteins. However, the precise inter-segment interaction network remains unresolved. Here, we computationally predict that tree-like irreversible interaction networks guarantee high-fidelity genome assembly, while cyclic interaction networks lead to futile or frustrated off-pathway products. We test our prediction against multiple experimental datasets. We find that tree-like networks capture the nearest-neighbour statistics of RNA segments in packaged virions, as observed by electron tomography. Just eight tree-like networks (of a possible 262 144) optimally capture both the nearest-neighbour data and independently measured RNA-RNA binding and co-localization propensities. These eight do not include the previously proposed hub-and-spoke and linear networks. Rather, each predicted network combines hub-like and linear features, consistent with evolutionary models of interaction gain and loss.

DOI10.1098/rsif.2019.0411
Alternate JournalJ R Soc Interface
PubMed ID31690232
PubMed Central IDPMC6893499
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