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    Segment self-repulsion is the major driving force of influenza genome packaging

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    PhysRevLett.110.098104_accepted.pdf
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    Authors
    Venev, Sergey V.
    Zeldovich, Konstantin B.
    UMass Chan Affiliations
    Program in Bioinformatics and Integrative Biology
    Document Type
    Accepted Manuscript
    Publication Date
    2013-03-01
    Keywords
    *Genome, Viral
    Influenza A virus
    *Models, Genetic
    RNA, Viral
    Thermodynamics
    Virion
    Bacterial Infections and Mycoses
    Biophysics
    Genomics
    Investigative Techniques
    Respiratory Tract Diseases
    Virology
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    Abstract
    The genome of influenza A virus consists of eight separate RNA segments, which are selectively packaged into virions prior to virus budding. The microscopic mechanism of highly selective packaging involves molecular interactions between packaging signals in the genome segments and remains poorly understood. We propose that the condition of proper packaging can be formulated as a large gap between RNA-RNA interaction energies in the viable virion with eight unique segments and in improperly packed assemblages lacking the complete genome. We then demonstrate that selective packaging of eight unique segments into an infective influenza virion can be achieved by self-repulsion of identical segments at the virion assembly stage, rather than by previously hypothesized intricate molecular recognition of particular segments. Using Monte Carlo simulations to maximize the energy gap, without any other assumptions, we generated model eight-segment virions, which all display specific packaging, strong self-repulsion of the segments, and reassortment patterns similar to natural influenza. The model provides a biophysical foundation of influenza genome packaging and reassortment and serves as an important step towards robust sequence-driven prediction of reassortment patterns of the influenza virus.
    Source

    Phys Rev Lett. 2013 Mar 1;110(9):098104. Epub 2013 Feb 28. DOI 10.1103/PhysRevLett.110.098104

    DOI
    10.1103/PhysRevLett.110.098104
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/29506
    PubMed ID
    23496749
    Related Resources

    Link to Article in PubMed

    Rights
    Accepted Manuscript posted as allowed by publisher's copyright policy
    ae974a485f413a2113503eed53cd6c53
    10.1103/PhysRevLett.110.098104
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    UMass Chan Faculty and Researcher Publications
    Program in Bioinformatics and Integrative Biology Publications

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