Bacteriophages (hereafter referred as phages) can translate their mRNAs efficiently by maximizing the use of codons decoded by the most abundant tRNAs of their bacterial hosts. Translation efficiency directly influences phage fitness and evolution. Reengineered phages find application in controlling their host population in both health and industry. The objective of this thesis work is to examine the factors shaping codon choices of single stranded DNA (ssDNA) and double stranded DNA (dsDNA) Escherichia coli phages. In chapter two, we employed two indices, rRSCU (correlation in relative synonymous codon usage between phages and their hosts) and CAI (codon adaptation index) to measure codon adaptation in phages. None of the analyzed ssDNA phages encode tRNAs while some dsDNA phages encode their own tRNAs. Both rRSCU and CAI are negatively correlated with number of tRNA genes encoded by these dsDNA phages. We observed significantly greater rRSCU for dsDNA phages (without tRNAs) than ssDNA phages. In addition, we propose that ssDNA phages have evolved a novel codon adaptation strategy to overcome the disruptive effect of their high C→T mutation rates in codon adaptation with host. In chapter three, we formulated an index phi to measure selection by host translation machinery and to present explicit linear and nonlinear models to characterize the effect of C→T mutation and host-tRNA-mediated selection on phage codon usage. The effect of selection (phi) on codon usage is detectable in most dsDNA and ssDNA phage species. C→T mutations also interfere with nonsynonymous substitutions at second codon positions, especially in ssDNA phages. Strand asymmetry along with the accompanying local variation in mutation bias can significantly affect codon adaptation in both dsDNA and ssDNA phages.
| Identifer | oai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/30402 |
| Date | January 2014 |
| Creators | Chithambaram, Shivapriya |
| Contributors | Xia, Xuhua |
| Publisher | Université d'Ottawa / University of Ottawa |
| Source Sets | Université d’Ottawa |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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