In this study we have focused on the codon usage bias in E. coli. In chapter 3, we use the population genetics model and the data available on the protein and mRNA levels of the E. coli genes to understand the pattern of codon usage in different genes with different expression levels and see which measure best explains the codon usage pattern. Besides codon bias, by testing for the over-parametrization of the model, we are able to test for the existence of context dependent mutation. We have also fitted the model for the codon usage patter in the Yeast and also tested for the context dependent mutation in this organism. In chapter 4, we focus on the first 10-15 codons in the genes of E. coli. Motivated by the fact that in this region we observe two phenomena, reduction in translation efficiency and suppression of mRNA secondary structures, we investigate whether the former is a side effect of selection for the latter. For this matter we have generated a set of synonymous randomized sequences, and then by selecting the ones which show weak secondary structures in the mentioned region, we would be able to test the theory. We will also look at the frequencies of the amino acids in E. coli genes and see whether the selection for weak secondary structures in the translation initiation region could be strong enough to not only affect the codon usage, but also the choice of amino acids. We would also provide information on the correlation between the strength of the mRNA secondary structure in the first 13 codons and the overall translation efficiency of the genes. / Thesis / Master of Science (MSc)

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The origin of new coding sequence is a major puzzle in biology. The evolutionary pressures on new sequences are largely unknown, but structural constraints are thought to play a role. Previously, 3' untranslated region (UTR) conversion to open reading frame (ORF) was observed in Saccharomyces. We sought to identify genes that were polymorphic for stop codon position in S. cerevisiae and S. paradoxus. Using strain sequence data from the Saccharomyces Genome Resequencing Project, we found 1336 genes that had evidence of stop codon polymorphism. Of those, we found 62 genes that had evidence of addition to ancestral sequence that represented the conversion of ancestral 3' UTR to derived ORF. Two of these genes, YGL058W and YNL034W-A, are prime candidates for structural studies as they are short proteins with long additions and known structures. In future studies, they will be used to infer any structural constraints on newly evolving proteins.

Synonymous codon usage bias has been extensively studied in Bacteria and Eukaryotes and yet there has been little investigation in the third domain of life, the Archaea. In this thesis I therefore examine the coding sequences of nearly 70 species of Archaea to explore patterns of codon bias. Heterogeneity in codon usage among genes was initially explored for a single species, Methanococcus maripaludis, where patterns were explained by a single major trend associated with expression level and attributed to natural selection. Unlike the bacterium Escherichia coli, selection was largely restricted to two-fold degenerate sites. Analyses of patterns of codon usage bias within genomes were extended to the other species of Archaea, where variation was more commonly explained by heterogeneity in G+C content and asymmetric base composition. By comparison with bacterial genomes, far fewer trends were found to be associated with expression level, implying a reduced prevalence of translational selection among Archaea. The strength of selected codon usage bias (S) was estimated for 67 species of Archaea, and revealed that natural selection has had less impact in shaping patterns of codon usage across Archaea than across many species of Bacteria. Variation in S was explained by the combined effects of growth rate and optimal growth temperature, with species growing at high temperatures exhibiting weaker than expected selection given growth rate. Such a relationship is expected if temperature kinetically modulates growth rate via its impact upon translation elongation, since rapid elongation rates at high temperatures reduce the selective benefit of optimal codon usage for the efficiency of translation. Consistent with this, growth temperature is negatively correlated with minimal generation time, and numbers of rRNA operons and tRNA genes are reduced at high growth temperatures. The large fraction of thermophilic Archaea relative to Bacteria account for the lower values of S observed. Two major trends were found to describe variation in codon usage among archaeal genomes; the first was attributed to GC3s and the second was associated with arginine codon usage and was linked both with growth temperature and the genome-wide excess of G over C content. The latter is unlikely to reflect thermophilic adaptation since the codon primarily underlying the trend appears to be selectively disfavoured. No correlations were observed with genome wide GC3s and optimal growth temperature and neither was GC3s associated with aerobiosis. The identities of optimal codons were explored and found to be invariant across U and C-ending two-fold degenerate amino acid groups. The identity of optimal codons and anticodons across four and six-fold degenerate amino acid groups was found to vary with mutational bias. As was first observed in M. maripaludis, selected codon usage bias was consistently greater across two-fold relative to four-fold degenerate amino acid groups across Archaea. This broad pattern could reflect ancestral patterns of optimal codon divergence, prevalent among four-fold but not two-fold degenerate amino acid groups. Consistent with this, the strength of selected codon usage bias was found to be reduced following the divergence of optimal codons, and implies that optimal codon divergence typically proceeds following the relaxation of selection. Finally, a method was developed to partition the strength of selection (S) into separate components reflecting selection for translational efficiency (Seff) and selection for translational accuracy (Sacc) by comparing the codon usage across conserved and nonconserved amino acid residues. While estimates of Sacc are somewhat sensitive to the designation of conserved sites, a general pattern emerged whereby accuracy-selected codon usage bias was consistently strongest across a subset of the most highly conserved sites. Several estimates of Sacc were consistently higher than the 95% range of null values regardless of the dataset, providing evidence for accuracy-selected codon usage bias in these species.

<p>The small GTPases <italic>HRAS, <italic>NRAS and <italic>KRAS are mutated in approximately one-third of all human cancers, rendering the proteins constitutively active and oncogenic. Lung cancer is the leading cause of cancer deaths worldwide, and more than 20% of human lung cancers harbor mutations in <italic>RAS, with 98% of those occurring in the <italic>KRAS isoform. While there have been many advances in the understanding of <italic>KRAS&ndash;driven lung tumorigenesis, it remains a therapeutic challenge. To further this understanding and assess novel approaches for treatment, I have investigated two aspects of <italic>Kras&ndash;driven tumorigenesis in the lung:</p><p>(<italic>I) Despite nearly identical protein sequences, the three <italic>RAS proto-oncogenes exhibit divergent codon usage. Of the three isoforms, <italic>KRAS contains the most rare codons resulting in lower levels of KRAS protein expression relative to <italic>HRAS and <italic>NRAS. To determine the consequences of rare codon bias during <italic>de <italic>novo tumorigenesis, we created a knock-in <italic>Kras<super>ex3op mouse in which synonymous mutations in exon 3 converted codons from rare to common. These mice had reduced tumor burden and fewer oncogenic mutations in the <italic>Kras<super>ex3op allele following carcinogen exposure. The reduction in tumorigenesis appeared to be a product of rare codons affecting both the oncogenic and non&ndash;oncogenic alleles. Converting rare codons to common codons yielded a more potent oncogenic allele that promoted growth arrest and enhanced tumor suppression by the non-oncogenic allele. Thus, rare codons play an integral role in <italic>Kras tumorigenesis.</p><p>(<italic>II) Lung cancer patients exhale higher levels of NO and <italic>iNOS<super>-/- mice are resistant to chemically induced lung tumorigenesis. I hypothesize that NO promotes <italic>Kras&ndash;driven lung adenocarcinoma, and NOS inhibition may decrease <italic>Kras&ndash;driven lung tumorigenesis. To test this hypothesis, I assessed efficacy of the NOS inhibitor L&ndash;NAME in a genetically engineered mouse model of <italic>Kras-driven lung adenocarcinoma. Adenoviral Cre recombinase was delivered into the lungs intranasally, resulting in expression of oncogenic <italic>Kras<super>G12D and dominant-negative <italic>Trp53<super>R172H in lung epithelial cells. L&ndash;NAME treatment was provided in the water and continued until survival endpoints. In this model, L&ndash;NAME treatment decreased tumor growth and prolonged survival. These data establish a potential clinical role for NOS inhibition in lung cancer treatment.</p> / Dissertation

tRNA genes have the fundamental role of translating the genetic code during protein synthesis. Beyond solely a passive decoding role, the tRNA pool exerts selection pressures on the codon usage of organisms and the viruses that infect them because processing codons read by rare tRNAs can be slow or even erroneous. To better understand the interactions of codons and anticodons in eukaryotic species, we first investigated whether tRNAs packaged into HIV-1 particles may relate to the poor codon usage of HIV-1 genes. By comparing the codon usage of HIV-1 genes with that of its human host, we found that tRNAs decoding poorly adapted codons are overrepresented in HIV-1 virions. Because the affinity of Gag-Pol for all tRNAs is non-specific, HIV packaging is most likely passive and reflects the tRNA pool at the time of viral particle formation. Moreover, differences that we found in the codon usage between early and late genes suggest alterations in the tRNA pool are induced late in viral infection. Next, we tested whether a reduced tRNA anticodon pattern, which was called into question by predicted tRNA datasets, is maintained across eukaryotes. tRNA prediction methods are prone to falsely identifying tRNA-derived repetitive sequences as functional tRNA genes. Thus, we proposed and tested a novel approach to identify falsely predicted tRNA genes using phylogenetics. Phylogenetic analysis removed nearly all the genes deviating from the anticodon pattern, therefore the anticodon pattern is reaffirmed across eukaryotes.

tRNA genes have the fundamental role of translating the genetic code during protein synthesis. Beyond solely a passive decoding role, the tRNA pool exerts selection pressures on the codon usage of organisms and the viruses that infect them because processing codons read by rare tRNAs can be slow or even erroneous. To better understand the interactions of codons and anticodons in eukaryotic species, we first investigated whether tRNAs packaged into HIV-1 particles may relate to the poor codon usage of HIV-1 genes. By comparing the codon usage of HIV-1 genes with that of its human host, we found that tRNAs decoding poorly adapted codons are overrepresented in HIV-1 virions. Because the affinity of Gag-Pol for all tRNAs is non-specific, HIV packaging is most likely passive and reflects the tRNA pool at the time of viral particle formation. Moreover, differences that we found in the codon usage between early and late genes suggest alterations in the tRNA pool are induced late in viral infection. Next, we tested whether a reduced tRNA anticodon pattern, which was called into question by predicted tRNA datasets, is maintained across eukaryotes. tRNA prediction methods are prone to falsely identifying tRNA-derived repetitive sequences as functional tRNA genes. Thus, we proposed and tested a novel approach to identify falsely predicted tRNA genes using phylogenetics. Phylogenetic analysis removed nearly all the genes deviating from the anticodon pattern, therefore the anticodon pattern is reaffirmed across eukaryotes.

Evolutionary rates vary vastly across intraspecific genes and the determinants of these rates is of central concern to the field of comparative genomics. Tradition has held that preservation of protein function conserved the sequence, however mounting evidence implicates the biophysical properties of proteins themselves as the elements that constrain sequence evolution. Of these properties, the exposure of a residue to solvent is the most prevalent determinant of its evolutionary rate due to pressures to maintain proper synthesis and folding of the structure. In this work, we have developed a model that considers the microenvironment of a residue in the estimation of its evolutionary rate. By working within the structural context of a protein's residues, we show that our model is better able to capture the overall evolutionary trends affecting conservation of both the coding sequences and the protein structures from a genomic level down to individual genes. / text

Logistic mixed effects models are used to determine whether optimal codons associate with two specific properties of the expressed protein: solvent accessibility, aggregation propensity, or evolutionary conservation. Both random components and fixed structures in the models are decided by following certain selection procedures. More models are also developed by considering different factor combinations using the same selection procedure. The results show that evolutionary conservation is the most important factor for predicting for the optimal codon usage for most amino acids; aggregation propensity is also an important factor, and solvent accessibility is the least important factor for most amino acids.The results of this analysis are consistent with the previous literature, provide more straightforward way to study the research question and also more information for the insight relationships. / text