Phenotypic consequences of genome mistranslation in Candida albicans

Várias espécies do género Candida traduzem o codão CUG de leucine como serina. Em C. albicans este codão é traduzido pelo tRNACAG Ser de serina que é reconhecido por leucil- e seril-tRNA sintetases (LeuRS e SerRS), permitindo a incorporação de leucina ou serina em posições com CUG. Em condições padrão de crescimento os codões CUG é incorporam 3% de leucina e 97% de serina, no entanto estes valores são flexíveis uma vez que a incorporação de serina pode variar entre 0.6% e 5% em resposta a condições de stress. Estudos anteriores realizados in vivo em Escherichia coli sugeriram que a ambiguidade em codões CUG é regulada pela SerRS. De facto, o gene da SerRS de C. albicans tem um codão CUG na posição 197 (Ser197) cuja descodificação ambígua resulta na produção de duas isoformas de SerRS. A isoforma SerRS_Leu197 é mais ativa, apesar de menos estável, que a isoforma SerRS_Ser197, suportando a ideia da existência de um feedback loop negativo, envolvendo estas duas isoformas de SerRS, a enzima LeuRS e o tRNACAG Ser, que mantem os níveis de incorporação de leucina no codões CUG baixos. Nesta tese demonstramos que tal mecanismo não é operacional nas células de C. albicans. De facto, os níveis de incorporação de leucina em codões CUG flutuam drasticamente em resposta a alterações ambientais. Por exemplo, a incorporação de leucina pode chegar a níveis de 49.33% na presença de macrófagos e anfotericina B, mostrando a notória tolerância de C. albicans à ambiguidade. Para compreender a relevância biológica da ambiguidade do código genético em C. albicans construímos estirpes que incorporam serina em vários codões. Apesar da taxa crescimento ter sido negativamente afetada em condições padrão de crescimento, as estirpes construídas crescem favoravelmente em várias condições de stresse, sugerindo que a ambiguidade desempenha um papel importante na adaptação a novos nichos ecológicos. O transcriptoma das estirpes construídas de C. albicans e Saccharomyces. cerevisiae mostram que as leveduras respondem à ambiguidade dos codões de modo distinto. A ambiguidade induziu uma desregulação moderada da expressão génica de C. albicans, mas ativou uma resposta comum ao stresse em S. cerevisiae. O único processo celular que foi induzido na maioria das estirpes foi a oxidação redução. De salientar, que enriquecimento em elementos cis de fatores de transcrição que regulam a resposta à ambiguidade em ambas as leveduras foi distinta, sugerindo que ambas respondem ao stresse de modo diferente. Na globalidade, o nosso estudo aprofunda o conhecimento da elevada tolerância à ambiguidade de codões em C. albicans. Os resultados sugerem que este fungo usa a ambiguidade do codão CUG durante infeção, possivelmente para modular a sua interação com o hospedeiro e a resposta a drogas antifúngicas.

Identification of molecules and pathways regulating mistranslation in Candida albicans

Candida albicans is the major fungal pathogen in humans, causing diseases ranging from mild skin infections to severe systemic infections in immunocompromised individuals. The pathogenic nature of this organism is mostly due to its capacity to proliferate in numerous body sites and to its ability to adapt to drastic changes in the environment. Candida albicans exhibit a unique translational system, decoding the leucine-CUG codon ambiguously as leucine (3% of codons) and serine (97%) using a hybrid serine tRNA (tRNACAGSer). This tRNACAGSer is aminoacylated by two aminoacyl tRNA synthetases (aaRSs): leucyl-tRNA synthetase (LeuRS) and seryl-tRNA synthetase (SerRS). Previous studies showed that exposure of C. albicans to macrophages, oxidative, pH stress and antifungals increases Leu misincorporation levels from 3% to 15%, suggesting that C. albicans has the ability to regulate mistranslation levels in response to host defenses, antifungals and environmental stresses. Therefore, the hypothesis tested in this work is that Leu and Ser misincorporation at CUG codons is dependent upon competition between the LeuRS and SerRS for the tRNACAGSer. To test this hypothesis, levels of the SerRS and LeuRS were indirectly quantified under different physiological conditions, using a fluorescent reporter system that measures the activity of the respective promoters. Results suggest that an increase in Leu misincorporation at CUG codons is associated with an increase in LeuRS expression, with levels of SerRS being maintained. In the second part of the work, the objective was to identify putative regulators of SerRS and LeuRS expression. To accomplish this goal, C. albicans strains from a transcription factor knock-out collection were transformed with the fluorescent reporter system and expression of both aaRSs was quantified. Alterations in the LeuRS/SerRS expression of mutant strains compared to wild type strain allowed the identification of 5 transcription factors as possible regulators of expression of LeuRS and SerRS: ASH1, HAP2, HAP3, RTG3 and STB5. Globally, this work provides the first step to elucidate the molecular mechanism of regulation of mistranslation in C. albicans.

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.

Saccharomycotin transcriptomics by next-generation sequencing

The non-standard decoding of the CUG codon in Candida cylindracea raises a number of questions about the evolutionary process of this organism and other species Candida clade for which the codon is ambiguous. In order to find some answers we studied the transcriptome of C. cylindracea, comparing its behavior with that of Saccharomyces cerevisiae (standard decoder) and Candida albicans (ambiguous decoder). The transcriptome characterization was performed using RNA-seq. This approach has several advantages over microarrays and its application is booming. TopHat and Cufflinks were the software used to build the protocol that allowed for gene quantification. About 95% of the reads were mapped on the genome. 3693 genes were analyzed, of which 1338 had a non-standard start codon (TTG/CTG) and the percentage of expressed genes was 99.4%. Most genes have intermediate levels of expression, some have little or no expression and a minority is highly expressed. The distribution profile of the CUG between the three species is different, but it can be significantly associated to gene expression levels: genes with fewer CUGs are the most highly expressed. However, CUG content is not related to the conservation level: more and less conserved genes have, on average, an equal number of CUGs. The most conserved genes are the most expressed. The lipase genes corroborate the results obtained for most genes of C. cylindracea since they are very rich in CUGs and nothing conserved. The reduced amount of CUG codons that was observed in highly expressed genes may be due, possibly, to an insufficient number of tRNA genes to cope with more CUGs without compromising translational efficiency. From the enrichment analysis, it was confirmed that the most conserved genes are associated with basic functions such as translation, pathogenesis and metabolism. From this set, genes with more or less CUGs seem to have different functions. The key issues on the evolutionary phenomenon remain unclear. However, the results are consistent with previous observations and shows a variety of conclusions that in future analyzes should be taken into consideration, since it was the first time that such a study was conducted.