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Ribosome profiling study of Dhh1p overexpression and the dhh1 knockout strain using monosome-protected footprints

ABSTRACT: A major determinant of mRNA half-life is the codon-dependent rate of translational elongation. How the processes of translational elongation and mRNA decay communicate is unclear. In this study we establish that the DEAD-box helicase Dhh1p is the sensor of codon optimality (i.e. translational elongation rate) that targets an mRNA for decay. First, we find that mRNAs whose translation elongation rate is slowed by inclusion of non-optimal codons are specifically degraded in a DHH1-dependent manner. Biochemical experiments show that Dhh1p is preferentially associated with mRNAs with suboptimal codon choice. We find that these effects on mRNA decay are sensitive to the number of slow moving ribosomes on an mRNA. Using a tethering system, we establish that non-optimal mRNAs become preferentially saturated with ribosomes when Dhh1p is bound. Moreover, over-expression of Dhh1p leads to the accumulation of ribosomes specifically on mRNAs with low codon optimality in ribosome profiling experiments. Lastly, Dhh1p physically interacts with ribosomes in vivo. Together, these data argue that Dhh1p is a sensor for ribosome speed, targeting an mRNA for repression and subsequent decay.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE81269 | GEO | 2016/05/11

SECONDARY ACCESSION(S): PRJNA321151

REPOSITORIES: GEO

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Project description:Firczuk2013 - Eukaryotic mRNA translation machinery This is a model of Saccharomyces cerevisiae mRNA translation which includes the initiation, elongation and termination phases. The model is for 20 condon mRNAs. The building of a multi-factor complex in initiation and also the different processes in elongation and termination are modelled in detail. The model takes into account that ribosomes cover more than one codon of mRNA so that the movement of ribosomes are effectively blocked by other ribosomes several codons downstream. It is assumed that 15 codons are occupied by each ribosome. This blocking effect is considered in reaction R18 in initiation and also reaction R26, the reaction where translocation of ribosomes takes place in elongation. The kinetic functions of these two reactions are based on MacDonald et al. 1968 and Heinrich & Rapaport 1980. All other kinetic functions follow mass-action kinetics. The concentrations of transfer RNA species (Met-tRNA, aa-tRNA and tRNA in the model) are kept constant, while the other species' concentrations can change in the course of the simulation. The model describes the translation of a short mRNA with 20 codons. Therefore, all reactions in the elongation cycle (R22, R23, R25, R26, R28 and R29) and the corresponding species are replicated accordingly to model the species with ribosomes bound at different positions. In summary, the model contains 165 different species and 141 reactions. The value of the 56 rate constant parameters were estimated by fitting the model against a series of experimental data consisting of modulation of the various translation factors (Figures 2, 3 and S3). Overall the parameter estimation was carried out over 212 different data points (steady states). This model is described in the article: An in vivo control map for the eukaryotic mRNA translation machinery Helena Firczuk, Shichina Kannambath, Jürgen Pahle, Amy Claydon, Robert Beynon, John Duncan, Hans Westerhoff, Pedro Mendes and John EG McCarthy Molecular Systems Biology. 9:635 Abstract: Rate control analysis defines the in vivo control map governing yeast protein synthesis and generates an extensively parameterized digital model of the translation pathway. Among other non-intuitive outcomes, translation demonstrates a high degree of functional modularity and comprises a non-stoichiometric combination of proteins manifesting functional convergence on a shared maximal translation rate. In exponentially growing cells, polypeptide elongation (eEF1A, eEF2, and eEF3) exerts the strongest control. The two other strong control points are recruitment of mRNA and tRNAi to the 40S ribosomal subunit (eIF4F and eIF2) and termination (eRF1; Dbp5). In contrast, factors that are found to promote mRNA scanning efficiency on a longer than-average 5′untranslated region (eIF1, eIF1A, Ded1, eIF2B, eIF3, and eIF5) exceed the levels required for maximal control. This is expected to allow the cell to minimize scanning transition times, particularly for longer 5′UTRs. The analysis reveals these and other collective adaptations of control shared across the factors, as well as features that reflect functional modularity and system robustness. Remarkably, gene duplication is implicated in the fine control of cellular protein synthesis. This model is hosted on BioModels Database and identified by: BIOMD0000000457 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

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Ribosome profiling study of Dhh1p overexpression and the dhh1 knockout strain using monosome-protected footprints

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