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    ASSESSING THE RELIABILITY OF SEQUENCE BASED METHODS USED TO IDENTIFY DE NOVO GENES

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    Author
    PORRAZZO, LOGAN JOSEPH
    Issue Date
    2021
    Advisor
    Masel, Joanna
    
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    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
    The pN/pS ratio test, the frequency of non-synonymous substitutions (pN) versus the frequency of synonymous substitutions (pS), is used to infer what type of selection is acting on certain sections of DNA within a species. Researchers attempting to identify de novo genes have suggested that if a DNA sequence has a pN/pS ratio of less than one, then that is sufficient evidence that the sequence is a functional de novo gene due to it experiencing purifying selection against nonsynonymous substitutions. We explored the hypothesis that under random mutation and chance, a deleterious translated open reading frame (ORF) can have a pN/pS value of less than one which opposes the belief that a pN/pS values of less than one for a putative de novo gene signifies functionality. In this project, we use SLiM, a forward-in-time evolutionary simulation software, along with C code, to simulate evolution of a population. Fitness of individuals was determined by assigning fitness contributions to each amino acid based on the analysis of Kosinski et al. (2020) and summing the values of amino acids within ORFs present in that individual. Due to inefficient simulation runtimes, we were unable to produce timely results that could support or refute our original hypothesis.
    Type
    Electronic thesis
    text
    Degree Name
    B.S.
    Degree Level
    bachelors
    Degree Program
    General Biology
    Honors College
    Degree Grantor
    University of Arizona
    Collections
    Honors Theses

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