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    Stochastic Models of –1 Programmed Ribosomal Frameshifting

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    Author
    Bailey, Brenae L.
    Issue Date
    2014
    Keywords
    polysome
    protein synthesis
    ribosomal frameshift
    stochastic models
    translation
    Applied Mathematics
    elongation
    Advisor
    Watkins, Joseph
    Visscher, Koen
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Many viruses can produce multiple proteins from a single mRNA sequence by encoding the proteins in overlapping genes. One mechanism that causes the ribosomes of infected cells to decode both genes is –1 programmed ribosomal frameshifting. In this process, structural elements of the viral mRNA signal the ribosome to shift reading frames at a specific point. Although –1 frameshifting has been recognized since 1985, the mechanism is not well understood. I have developed a stochastic model of mRNA translation that includes the possibility of a –1 frameshift at any codon. The transition probabilities between states of the model are based on the energetics of local molecular interactions. The model reproduces observed translation rates as well as both the location and efficiency of frameshift events in the HIV-1 gag-pol sequence. In this work, the model is used to predict changes in the frameshift efficiency due to mutations in the viral mRNA sequence or variations in relative tRNA abundances. The model is sensitive to the size of the translating ribosome and to assumptions about the unfolding pathway of the stimulatory structure. As knowledge in the field of RNA structure prediction grows, that knowledge can be incorporated into the model developed here to make improved predictions. The single-ribosome translation model has been extended to polysomes by including initiation and termination rates and an exclusion principle, and allowing the stimulatory structure to refold on an appropriate timescale. The predicted frameshift efficiency for a given mRNA can be tuned by varying the ribosome density on the mRNA. This finding affects the interpretation of frameshift efficiencies measured in the lab. In the parameter regime where translation is initiation-limited, the frameshift efficiency also depends on the structure refolding rate, which determines the availability of the downstream structure for stimulating –1 frameshifts. Furthermore, there is a trade-off between frameshift efficiency and protein synthesis rate.
    Type
    text
    Electronic Dissertation
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Graduate College
    Applied Mathematics
    Degree Grantor
    University of Arizona
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