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Die Enzymsuperfamilie der löslichen Sulfotransferasen (SULT) spielt eine wichtige Rolle in der Phase II des Fremdstoffmetabolismus. Sie katalysieren den Transfer einer Sulfonylgruppe auf nucleophile Gruppen endogener und exogener Substrate. Die Sulfokonjugation von Fremdstoffen erhöht deren Wasserlöslichkeit und behindert die passive Permeation von Zellmembranen. Dadurch wird die Ausscheidung dieser konjugierten Substanzen erleichtert. In Abhängigkeit von der Struktur des Zielmoleküls kann die Sulfokonjugation aber auch zur metabolischen Aktivierung von Fremdstoffen durch die Bildung instabiler Metabolite führen. Die SULT-vermittelte Aktivierung promutagener Substanzen ist somit von toxikologischem Interesse. Für die Detektion SULT-vermittelter Mutagenität mittels bakterieller in-vitro Testsysteme ist die heterologe Expression der fremdstoffmetabolisierenden Enzyme direkt in den Indikatorzellen notwendig. S. typhimurium exprimieren selbst keine SULT, und externe Metabolisierungssysteme sind problematisch, weil die negativ geladenen, kurzlebigen Metabolite nur schlecht die Zellmembran penetrieren können. Die Expression humaner Enyme in Bakterien ist jedoch zum Teil sehr kritisch. So zeigen z.B. sehr ähnliche Enzyme (SULT1A2*1 und *2) deutliche Unterschiede im Expressionsniveau bei exakt gleichen äußeren Bedingungen. Dies erschwert den Vergleich der enzymatischen Aktivitäten dieser Enzyme im in-vitro Testsystem. Andere Enzyme (z.B. SULT2B1b) werden unter Verwendung ihrer Wildtyp-cDNA zum Teil nicht detektierbar exprimiert. Deshalb sollte in dieser Arbeit eine Methode zur Optimierung der heterologen Expression fremdstoffmetabolisierender Enzyme für Genotoxizitätsuntersuchungen etabliert werden. <br><br> Es wurde bereits gezeigt dass synonyme Codonaustausche am 5’-Ende der humanen SULT1A2-cDNA zu einer Erhöhung der Expression des entsprechenden Enzyms in S. typhimurium führten. Dementsprechend wurden in dieser Arbeit Codonaustausche am 5’-Ende der cDNA verschiedener SULT (1A1*1, 1A2*1, 2B1b) sowie der Ratten Glutathion-S-Transferase Theta 2 (rGSTT2) und dem Reportergen Luciferase durchgeführt. Die Expression der so generierten Konstrukte wurde in verschiedenen S. typhimurium und E. coli Stämmen quantifiziert und die Aktivität der überexprimierten Enzyme im Ames-Test bzw. im Enzym-Aktivitätsassay überprüft. Durch das Einführen seltener Codons in die cDNA konnte die Proteinexpression von SULT1A1*1, SULT1A2*1 und SULT2B1b maximal 7-fach, 18-fach und 100-fach im Vergleich zur Wildtyp-cDNA gesteigert werden. Die Expression der rGSTT2 wurde ebenfalls durch das Einführen seltener Codons erhöht (maximal 5-fach). Bei dem Reportergen Luciferase jedoch führte das Austauschen häufiger Codons gegen seltene Codons zu einer Reduktion der Proteinexpression um 80 %. Die Expression von Fusionsproteinen aus 2B1b (5’-Ende) und Luciferase (3’-Ende) wurde durch das Einführen seltener Codons ebenfalls um 50 % reduziert. Die S. typhimurium Stämme mit optimierter SULT 1A1*1- bzw. 1A2*1-Expression wurden im Ames-Test eingesetzt und zeigten im Vergleich zu den geringer exprimierenden Stämmen eine höhere Sensitivität. Für SULT2B1b konnte keine Mutagenaktivierung im Ames-Test nachgewiesen werden. Allerdings zeigte ein Enzym-Aktivitätsassay mit Dehydroepiandosteron, dass das bakteriell exprimierte Enzym funktionell war. Da in der Literatur der Effekt seltener Codons auf die Expression in Bakterien bisher fast ausschließlich als inhibitorisch beschrieben wurde, sollte die Wirkungsweise der hier beobachteten Expressionserhöhung durch seltene Codons genauer untersucht werden. Dazu wurden verschiedene Konstrukte der SULT1A2*1 und der SULT2B1b, die unterschiedlich viele seltene Codons in verschiedenen Kombinationen besaßen, hergestellt. Es konnten jedoch keine einzelnen Codons, die für die Expressionssteigerung allein verantwortlich waren, identifiziert werden. Die Plasmidkopienzahl in den verschiedenen SULT2B1b-Klonen war konstant und die SULT2B1b-mRNA-Konzentration zeigte nur moderate Schwankungen, die nicht als Ursache für die dramatische Erhöhung der SULT2B1b-Expression in Frage kommen. Die berechnete Stabilität der potentiellen mRNA-Sekundärstrukturen wurde durch die seltenen Codons häufig stark gesenkt und ist als eine mögliche Ursache für die Expressionssteigerung anzusehen. Zusätzlich erhöhten die seltenen Codons den Consensus der Downstream Box zur 16S rRNA, was ebenfalls eine Ursache für die Expressionssteigerung sein kann. <br><br> In dieser Arbeit konnte somit die Expression der humanen SULT1A1*1, 1A2*1 und der 2B1b sowie der rGSTT2 erfolgreich mittels synonymer Codonaustausche erhöht werden. Die so optimierten S. typhimurium Stämme zeigten im Ames-Test eine erhöhte Sensitivität gegenüber SULT aktivierten Promutagenen bzw. erhöhte Aktivität in spezifischen Enymaktivitätsassays. / The enzyme super familiy of human sulfotransferases (SULT) plays an important role in phase II metabolism of xenobiotics. They catalyze the transfer of a sulfonyl moiety to nucleophilic groups of endogenous and exogenous substrates. Sulfoconjugation of xenobiotics facilitates their excretion by increasing the water solubility and inhibiting passive permeation of cell membranes. Depending on the molecular structure of the substance, sulfonation can also lead to metabolic activation. Highly reactive resonance-stabilized carbenium- and nitrenium-ions that are able to covalently bind to cellular nucleophiles, e.g. DNA, can be formed. Thus, SULT-mediated activation of promutagenic compounds is of toxicological interest. The detection of SULT-mediated mutagenicity in bacterial in-vitro testsystems (e.g. S. typhimurium) requires the heterologous expression of xenobiotic-metabolizing enzymes directly in these indicator cells. S. typhimurium do not express endogenous SULT and external metabolic systems are problematic as penetration of cell membranes is hampered for charged and short-lived metabolites. But the expression of human enzymes in bacteria can be problematic too. SULT1A2*1 and *2 for instance are allelic variants that differ only in two amino acids. However, using the same experimental conditions strong differences in their expression level have been observed. This complicates the comparison of the mutagenic activities of the polymorphic enzymes in the in-vitro test system. Other enzymes (e.g. SULT2B1b) show no detectable expression in bacteria when their genuine cDNA obtained from human tissues is used. Therefore, the aim of this study was to to optimize protein levels of heterologously expressed xenobiotic-metabolizing enzymes in indicator cells for mutagenicity testing. <br><br> So far it has been shown that synonymous codon-exchanges at the 5’end of human SULT1A2-cDNA led to an enhanced expression of the corresponding enzyme in S. typhimurium. Accordingly, codon-exchanges at the 5’end of SULT1A1*1, -1A2*1, -2B1b, rat glutathione-S-transferase theta 2 (rGSTT2) and the reportergene luciferase were conducted. The expression of the resulting constructs was quantified in S. typhimurium and E. coli using specific antibodies and activity of the overexpressed enzymes was proved by Ames test and enzyme activity assays. The introduction of low-usage codons at the 5’end of SULT1A1*1, -1A2*1 and -2B1b cDNA led to a 7-, 18- and 100-fold increase of expression level, respectively. Expression of rGSTT2 was 5-fold enhanced after the introduction of low-usage codons. In contrast, the introduction of low-usage codons into the luciferase cDNA resulted in a decrease of protein expression up to 80 %. Fusionproteins of SULT2B1b (5’end) and luciferase (3’end) showed a reduction of protein expression about 50 % after the introduction of low-usage codons. S. typhimurium strains with optimized SULT1A1*1 and -1A2*1 expression were used in the Ames test and showed a higher sensitivity compared to the lower expressing strains. For SULT2B1b no mutagen-activation could be detected in the Ames test, but enzyme activity was proved through Dehydroepiandosterone sulfation in vitro. <br><br> Since an inhibitory effect of low-usage codons on expression in bacteria was described in literature, the enhancement of expression after the introduction of low-usage codons observed in this study was analyzed more in detail. Various constructs of SULT1A2*1 and -2B1b cDNAs containing different numbers and combinations of synonymous low-usage codons were generated. No single codon that was responsible for the enhanced expression could be identified. Plasmid copy number of different SULT2B1b constructs was unchanged and SULT2B1b-mRNA showed only moderate variations that could not explain the strong enhancement of SULT2B1b expression. Calculations suggested that the stability of potential mRNA secondary structures was reduced due to the introduction of low-usage codons. Moreover, the consensus of the downstream box and the 16S rRNA was increased. Both effects probably improved the efficiency of translation and thereby increased the yield of protein expression. <br><br> In this study the heterologous expression of SULT1A1*1, -1A2*1, -2B1b and rGSTT2 could be enhanced by the introduction of synonymous low-usage codons. The optimized S. typhimurium strains showed higher activities in enzyme assays with specific substrates and an increased sensitivity towards SULT-activated promutagens.

Messenger RNA transcripts of αs2- and к-casein are translated at 25% of the efficiency of αs1- and β-casein transcripts; however, the molecular mechanisms governing the difference are unknown. We hypothesized that the bovine casein translational efficiency is influenced by characteristics of the untranslated regions (UTRs) and coding regions. The main objective of this study was to identify molecular mechanisms that explain differential translational regulation between bovine β- and αs2-casein by assessing the role of each putative translational regulatory factor found throughout full-length sequences in both in cellular and cell-free translation systems. This dissertation begins with the cloning and initial characterization of bovine β- and αs2-casein. Transcript analysis indicates that the two genes share similar characteristics of nucleotide sequence around the coding region and secondary structure. It is confirmed that αs2-casein mRNA has a lower translational efficiency compared to that of β-casein in a cell-free system. The latter portion of this thesis investigates further the UTRs and codon usage effect on difference in translational efficiency between β- and αs2-casein. Overall, our data suggest that β-casein 3’ UTR and αs2-casein 5’ UTR exert stimulatory effects on translation yet their effectiveness depends on the upstream and downstream sequences with which they are associated. Replacement of the UTRs of αs2-casein mRNA with those of β-casein did not stimulate translation. A stronger effect on translational efficiency was found in the coding region of αs2-casein which displays unfavourable codons at the 3’ terminus. Deletion of a 28-codon fragment from the 3’ terminus of the αs2-casein coding region increased translation to a par with β-casein. We suggest that the last 28 codons of αs2-casein is the main regulatory sequence that attenuates its expression and is responsible for the different translational expression of β- and αs2-casein mRNAs. Identification of regulatory factors that are responsible for translation efficiency improves our understanding of the molecular mechanisms of control of milk protein prodiction in secretory cells of the bovine mammary glands. / NSERC canada

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.

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.

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

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.