Viruses roll the dice: the stochastic behavior of viral genome molecules accelerates viral adaptation at the cell and tissue levels

PLoS Biology
Shuhei MiyashitaMasayuki Ishikawa

Abstract

Recent studies on evolutionarily distant viral groups have shown that the number of viral genomes that establish cell infection after cell-to-cell transmission is unexpectedly small (1-20 genomes). This aspect of viral infection appears to be important for the adaptation and survival of viruses. To clarify how the number of viral genomes that establish cell infection is determined, we developed a simulation model of cell infection for tomato mosaic virus (ToMV), a positive-strand RNA virus. The model showed that stochastic processes that govern the replication or degradation of individual genomes result in the infection by a small number of genomes, while a large number of infectious genomes are introduced in the cell. It also predicted two interesting characteristics regarding cell infection patterns: stochastic variation among cells in the number of viral genomes that establish infection and stochastic inequality in the accumulation of their progenies in each cell. Both characteristics were validated experimentally by inoculating tobacco cells with a library of nucleotide sequence-tagged ToMV and analyzing the viral genomes that accumulated in each cell using a high-throughput sequencer. An additional simulation model reveale...Continue Reading

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Citations

Jul 14, 2016·MethodsX·Stephanie R A BotelhoMarcio M Sanches
Feb 17, 2015·Virus Research·Tetsuya ChujoMasayuki Ishikawa
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Datasets Mentioned

BETA
AB499725

Methods Mentioned

BETA
PCR
Infection

Software Mentioned

Image
R scripts
R script
R
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