Modulation of efficiency of translation termination in Saccharomyces cerevisiae

Abstract

Nonsense suppression is a readthrough of premature termination codons. It typically occurs either due to the recognition of stop codons by tRNAs with mutant anticodons, or due to a decrease in the fidelity of translation termination. In the latter case, suppressors usually promote the readthrough of different types of nonsense codons and are thus called omnipotent nonsense suppressors. Omnipotent nonsense suppressors were identified in yeast Saccharomyces cerevisiae in 1960s, and most of subsequent studies were performed in this model organism. Initially, omnipotent suppressors were localized by genetic analysis to different protein- and RNA-encoding genes, mostly the components of translational machinery. Later, nonsense suppression was found to be caused not only by genomic mutations, but also by epigenetic elements, prions. Prions are self-perpetuating protein conformations usually manifested by infectious protein aggregates. Modulation of translational accuracy by prions reflects changes in the activity of their structural proteins involved in different aspects of protein synthesis. Overall, nonsense suppression can be seen as a “phenotypic mirror” of events affecting the accuracy of the translational machine. However, the range of proteins participating in the modulation of translation termination fidelity is not fully elucidated. Recently, the list has been expanded significantly by findings that revealed a number of weak genetic and epigenetic nonsense suppressors, the effect of which can be detected only in specific genetic backgrounds. This review summarizes the data on the nonsense suppressors decreasing the fidelity of translation termination in S. cerevisiae, and discusses the functional significance of the modulation of translational accuracy.

Keywords:

• prion
• amyloid
• yeast
• nonsense suppression
• translation
• SUP35
• SUP45
• ribosome
• translation termination

Disclosure Statement

Authors declare no potential conflicts of interest.

Funding

This work was supported by National Institutes of Health (grant 7 R01 GM070934–06 to I.L.D.), as well as by Russian Foundation for Basic Research (grant 14–04–31838 to K.S.A.) and St. Petersburg Government (to A.A.N. and K.S.A.) This work was also funded by the Ministry of Education and Science of Russia, project 14.132.21.1324 to A.A.N. The authors acknowledge Saint-Petersburg University for a research grant 1.50.2543.2013 (to A.A.N. and S.G.I.).