Molecular study of cell degeneration and evolution induced by mRNA mistranslation

As proteínas existentes nas células são produzidas pelo mecanismo de tradução do mRNA, no qual a informação genética contida nos genes é descodificada em cadeias polipeptídicas. O código genético, que define as regras de descodificação do genoma, minimiza os erros de tradução do mRNA, garantindo a síntese de proteínas com elevada fidelidade. Esta é essencial para a estabilidade do proteoma e para a manutenção e funcionamento dos processos celulares. Em condições fisiológicas normais, os erros da tradução do mRNA ocorrem com frequências que variam de 10-3 a 10-5 erros por codão descodificado. Situações que aumentam este erro basal geralmente estão associadas ao envelhecimento, stresse e a doenças; no entanto, em certos organismos o código genético é traduzido naturalmente com elevado erro, indicando que a síntese de proteínas aberrantes pode de algum modo ser vantajosa. A fim de estudar a resposta celular aos erros de tradução do mRNA, construímos leveduras que incorporam serina no proteoma em resposta a um codão de leucina, usando a expressão constitutiva de um tRNASer mutante. Este fenómeno genético artificial provocou uma forte diminuição da esporulação, da viabilidade e da eficiência de mating, afectando imensamente a reprodução sexual da levedura. Observou-se também uma grande heterogeneidade no tamanho e na forma das células e elevada instabilidade genómica, com o aparecimento de populações poliplóides e aneuplóides. No sentido de clarificar as bases celulares e moleculares daqueles fenótipos e compreender melhor a biologia do erro de tradução do mRNA, construímos também células de levedura que inserem serina em resposta a um codão de leucina de modo indutível e controlado. Utilizaram-se perfis de mRNA total e de mRNA associado a polissomas para elucidar a resposta celular ao erro de tradução do mRNA. Observou-se a indução de genes envolvidos na resposta ao stresse geral, stresse oxidativo e na unfolded protein response (UPR). Um aumento significativo de espécies reactivas de oxigénio (ROS) e um forte impacto negativo na capacidade das células pós-mitóticas re-iniciarem o crescimento foram também observados. Este fenótipo de perda de viabilidade celular foi resgatado por scavangers de ROS, indicando que o stresse oxidativo é a principal causa de morte celular causada pelos erros de tradução. Este estudo levanta a hipótese de que o stresse oxidativo e a acumulação de ROS, ao invés do colapso súbito do proteoma, são as principais causas da degeneração celular e das doenças humanas associadas aos erros de tradução do genoma. ABSTRACT: Proteins are synthesized through the mechanism of translation, which uses the genetic code to transform the nucleic acids based information of the genome into the amino acids based information of the proteome. The genetic code evolved in such a manner that translational errors are kept to a minimum and even when they occur their impact is minimized by similar chemical properties of the amino acids. Protein synthesis fidelity is essential for proteome stability and for functional maintenance of cellular processes. Indeed, under normal physiological conditions, mistranslation occurs at frequencies that range from 10-3 to 10-5 errors per codon decoded. Situations where this basal error frequency increases are usually associated to aging and disease. However, there are some organisms where genetic code errors occur naturally at high level, suggesting that mRNA mistranslation can somehow be beneficial. In order to study the cellular response to mRNA mistranslation, we have engineered single codon mistranslation in yeast cells, using constitutive expression of mutant tRNASer genes. These mistranslating strains inserted serines at leucine-CUG sites on a proteome wide scale due to competition between the wild type tRNALeu with the mutant tRNASer. Such mistranslation event decreased yeast sporulation, viability and mating efficiencies sharply and affected sexual reproduction strongly. High heterogeneity in cell size and shape and high instability in the genome were also observed, with the appearance of some polyploid or aneuploid cell populations. To further study the cellular and molecular basis of those phenotypes and the biology of mRNA mistranslation, we have also engineered inducible mRNA misreading in yeast and used total mRNA and polysome associated mRNA profiling to determine whether codon misreading affects gene expression. Induced mistranslation up-regulated genes involved in the general stress response, oxidative stress and in the unfolded protein response (UPR). A significant increase in reactive oxygen species (ROS) and a strong negative impact on the capacity of post-mitotic cells to re-initiate growth in fresh media were also observed. This cell viability phenotype was rescued by scavengers of ROS, indicating that oxidative stress is the main cause of cell death caused by mRNA mistranslation. This study provides strong support for the hypothesis that oxidative stress and ROS accumulation, rather than sudden proteome collapse or major proteome disruption, are the main cause of the cellular degeneration observed in human diseases associated mRNA mistranslation.

Molecular reconstruction of a genetic code alteration

The genetic code establishes the rules that govern gene translation into proteins. It was established more than 3.5 billion years ago and it is one of the most conserved features of life. Despite this, several alterations to the standard genetic code have been discovered in both prokaryotes and eukaryotes, namely in the fungal CTG clade where a unique seryl transfer RNA (tRNACAG Ser) decodes leucine CUG codons as serine. This tRNACAG Ser appeared 272±25 million years ago through insertion of an adenosine in the middle position of the anticodon of a tRNACGA Ser gene, which changed its anticodon from 5´-CGA-3´ to 5´-CAG-3´. This most dramatic genetic event restructured the proteome of the CTG clade species, but it is not yet clear how and why such deleterious genetic event was selected and became fixed in those fungal genomes. In this study we have attempted to shed new light on the evolution of this fungal genetic code alteration by reconstructing its evolutionary pathway in vivo in the yeast Saccharomyces cerevisiae. For this, we have expressed wild type and mutant versions of the C. albicans tRNACGA Ser gene into S. cerevisiae and evaluated the impact of the mutant tRNACGA Ser on fitness, tRNA stability, translation efficiency and aminoacylation kinetics. Our data demonstrate that these mutants are expressed and misincorporate Ser at CUGs, but their expression is repressed through an unknown molecular mechanism. We further demonstrate, using in vivo forced evolution methodologies, that the tRNACAG Ser can be easily inactivated through natural mutations that prevent its recognition by the seryl-tRNA synthetase. The overall data show that repression of expression of the mistranslating tRNACAG Ser played a critical role on the evolution of CUG reassignment from Leu to Ser. In order to better understand the evolution of natural genetic code alterations, we have also engineered partial reassignment of various codons in yeast. The data confirmed that genetic code ambiguity affects fitness, induces protein aggregation, interferes with the cell cycle and results in nuclear and morphologic alterations, genome instability and gene expression deregulation. Interestingly, it also generates phenotypic variability and phenotypes that confer growth advantages in certain environmental conditions. This study provides strong evidence for direct and critical roles of the environment on the evolution of genetic code alterations.

Molecular genomics of a genetic code alteration

The genetic code is not universal. Alterations to its standard form have been discovered in both prokaryotes and eukaryotes and demolished the dogma of an immutable code. For instance, several Candida species translate the standard leucine CUG codon as serine. In the case of the human pathogen Candida albicans, a serine tRNA (tRNACAGSer) incorporates in vivo 97% of serine and 3% of leucine in proteins at CUG sites. Such ambiguity is flexible and the level of leucine incorporation increases significantly in response to environmental stress. To elucidate the function of such ambiguity and clarify whether the identity of the CUG codon could be reverted from serine back to leucine, we have developed a forced evolution strategy to increase leucine incorporation at CUGs and a fluorescent reporter system to monitor such incorporation in vivo. Leucine misincorporation increased from 3% up to nearly 100%, reverting CUG identity from serine back to leucine. Growth assays showed that increasing leucine incorporation produced impressive arrays of phenotypes of high adaptive potential. In particular, strains with high levels of leucine misincorporation exhibited novel phenotypes and high level of tolerance to antifungals. Whole genome re-sequencing revealed that increasing levels of leucine incorporation were associated with accumulation of single nucleotide polymorphisms (SNPs) and loss of heterozygozity (LOH) in the higher misincorporating strains. SNPs accumulated preferentially in genes involved in cell adhesion, filamentous growth and biofilm formation, indicating that C. albicans uses its natural CUG ambiguity to increase genetic diversity in pathogenesis and drug resistance related processes. The overall data provided evidence for unantecipated flexibility of the C. albicans genetic code and highlighted new roles of codon ambiguity on the evolution of genetic and phenotypic diversity.

Codon ambiguities as a mechanism to alter the genetic code in Saccharomyces cerevisiae

Although the genetic code is generally viewed as immutable, alterations to its standard form occur in the three domains of life. A remarkable alteration to the standard genetic code occurs in many fungi of the Saccharomycotina CTG clade where the Leucine CUG codon has been reassigned to Serine by a novel transfer RNA (Ser-tRNACAG). The host laboratory made a major breakthrough by reversing this atypical genetic code alteration in the human pathogen Candida albicans using a combination of tRNA engineering, gene recombination and forced evolution. These results raised the hypothesis that synthetic codon ambiguities combined with experimental evolution may release codons from their frozen state. In this thesis we tested this hypothesis using S. cerevisiae as a model system. We generated ambiguity at specific codons in a two-step approach, involving deletion of tRNA genes followed by expression of non-cognate tRNAs that are able to compensate the deleted tRNA. Driven by the notion that rare codons are more susceptible to reassignment than those that are frequently used, we used two deletion strains where there is no cognate tRNA to decode the rare CUC-Leu codon and AGG-Arg codon. We exploited the vulnerability of the latter by engineering mutant tRNAs that misincorporate Ser at these sites. These recombinant strains were evolved over time using experimental evolution. Although there was a strong negative impact on the growth rate of strains expressing mutant tRNAs at high level, such expression at low level had little effect on cell fitness. We found that not only codon ambiguity, but also destabilization of the endogenous tRNA pool has a strong negative impact in growth rate. After evolution, strains expressing the mutant tRNA at high level recovered significantly in several growth parameters, showing that these strains adapt and exhibit higher tolerance to codon ambiguity. A fluorescent reporter system allowing the monitoring of Ser misincorporation showed that serine was indeed incorporated and possibly codon reassignment was achieved. Beside the overall negative consequences of codon ambiguity, we demonstrated that codons that tolerate the loss of their cognate tRNA can also tolerate high Ser misincorporation. This raises the hypothesis that these codons can be reassigned to standard and eventually to new amino acids for the production of proteins with novel properties, contributing to the field of synthetic biology and biotechnology.