6 research outputs found
Multi-site rate control analysis identifies ribosomal scanning as the sole high-capacity/low-flux-control step in mRNA translation
No full textControl of complex intracellular pathways such as protein synthesis is critical to organism survival, but is poorly understood. Translation of a reading frame in eukaryotic mRNA is preceded by a scanning process in which a subset of translation factors helps guide ribosomes to the start codon. Here, we perform comparative analysis of the control status of this scanning step that sits between recruitment of the small ribosomal subunit to the m7GpppG‐capped 5′end of mRNA and of the control exerted by downstream phases of polypeptide initiation, elongation and termination. We have utilized a detailed predictive model as guidance for designing quantitative experimental interrogation of control in the yeast translation initiation pathway. We have built a synthetic orthogonal copper‐responsive regulatory promoter (PCuR3) that is used here together with the tet07 regulatory system in a novel dual‐site in vivo rate control analysis strategy. Combining this two‐site strategy with calibrated mass spectrometry to determine translation factor abundance values, we have tested model‐based predictions of rate control properties of the in vivo system. We conclude from the results that the components of the translation machinery that promote scanning collectively function as a low‐flux‐control system with a capacity to transfer ribosomes into the core process of polypeptide production that exceeds the respective capacities of the steps of polypeptide initiation, elongation and termination. In contrast, the step immediately prior to scanning, that is, ribosome recruitment via the mRNA 5′ cap‐binding complex, is a high‐flux‐control step
Translational control of gene expression noise and its relationship to ageing in yeast
No full textGene expression noise influences organism evolution and fitness but is poorly understood. There is increasing evidence that the functional roles of components of the translation machinery influence noise intensity. In addition, modulation of the activities of at least some of these same components affects the replicative lifespan of a broad spectrum of organisms. In a novel comparative approach, we modulate the activities of the translation initiation factors eIFG1 and eIF4G2, both of which are involved in the process of recruiting ribosomal 43S preinitiation complexes to the 5’ end of eukaryotic mRNAs. We show that tagging of the cell wall using a fluorescent dye allows us to follow gene expression noise as different yeast strains progress through successive cycles of replicative ageing. This procedure reveals a relationship between global protein synthesis rate and gene expression noise (cell‐to‐cell heterogeneity), which is accompanied by a parallel correlation between gene expression noise and the replicative age of mother cells. An alternative approach, based on microfluidics, confirms the interdependence between protein synthesis rate, gene expression noise and ageing. We additionally show that it is important to characterize the influence of the design of the microfluidic device on the nutritional state of the cells during such experiments. Analysis of the noise data derived from flow cytometry and fluorescence microscopy measurements indicates that both the intrinsic and the extrinsic noise components increase as a function of ageing
Minimum-noise production of translation factor eIF4G maps to a mechanistically determined optimal rate control window for protein synthesis
No full textGene expression noise influences organism evolution and fitness. The mechanisms determining the relationship between stochasticity and the functional role of translation machinery components are critical to viability. eIF4G is an essential translation factor that exerts strong control over protein synthesis. We observe an asymmetric, approximately bell-shaped, relationship between the average intracellular abundance of eIF4G and rates of cell population growth and global mRNA translation, with peak rates occurring at normal physiological abundance. This relationship fits a computational model in which eIF4G is at the core of a multi-component– complex assembly pathway. This model also correctly predicts a plateau-like response of translation to super-physiological increases in abundance of the other cap-complex factors, eIF4E and eIF4A. Engineered changes in eIF4G abundance amplify noise, demonstrating that minimum stochasticity coincides with physiological abundance of this factor. Noise is not increased when eIF4E is overproduced. Plasmid-mediated synthesis of eIF4G imposes increased global gene expression stochasticity and reduced viability because the intrinsic noise for this factor influences total cellular gene noise. The naturally evolved eIF4G gene expression noise minimum maps within the optimal activity zone dictated by eIF4G’s mechanistic role. Rate control and noise are therefore interdependent and have co-evolved to share an optimal physiological abundance point
An in vivo control map for the eukaryotic mRNA translation machinery
No full textRate 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
The Leishmania PABP1–eIF4E4 interface : a novel 5′–3′ interaction architecture for trans-spliced mRNAs
No full textTrans-splicing of trypanosomatid polycistronic transcripts produces polyadenylated monocistronic mRNAs modified to form the 5′ cap4 structure (m7Gpppm36,6,2′Apm2′Apm2′Cpm23,2′U). NMR and X-ray crystallography reveal that Leishmania has a unique type of N-terminally-extended cap-binding protein (eIF4E4) that binds via a PAM2 motif to PABP1. This relies on the interactions of a combination of polar and charged amino acid side-chains together with multiple hydrophobic interactions, and underpins a novel architecture in the Leishmania cap4-binding translation factor complex. Measurements using microscale thermophoresis, fluorescence anisotropy and surface plasmon resonance characterize the key interactions driving assembly of the Leishmania translation initiation complex. We demonstrate that this complex can accommodate Leishmania eIF4G3 which, unlike the standard eukaryotic initiation complex paradigm, binds tightly to eIF4E4, but not to PABP1. Thus, in Leishmania, the chain of interactions 5′cap4-eIF4E4–PABP1-poly(A) bridges the mRNA 5′ and 3′ ends. Exceptionally, therefore, by binding tightly to two protein ligands and to the mRNA 5′ cap4 structure, the trypanosomatid N-terminally extended form of eIF4E acts as the core molecular scaffold for the mRNA-cap-binding complex. Finally, the eIF4E4 N-terminal extension is an intrinsically disordered region that transitions to a partly folded form upon binding to PABP1, whereby this interaction is not modulated by poly(A) binding to PABP1
Overlapping signals for translational regulation and packaging of influenza A virus segment 2
No full textInfluenza A virus segment 2 mRNA expresses three
polypeptides: PB1, PB1-F2 and PB1-N40, from AUGs
1, 4 and 5 respectively. Two short open reading
frames (sORFs) initiated by AUGs 2 and 3 are also
present. To understand translational regulation in
this system, we systematically mutated AUGs 1–4
and monitored polypeptide synthesis from
plasmids and recombinant viruses. This identified
sORF2 as a key regulatory element with opposing
effects on PB1-F2 and PB1-N40 expression. We
propose a model in which AUGs 1–4 are accessed
by leaky ribosomal scanning, with sORF2 repressing
synthesis of downstream PB1-F2. However, sORF2
also up-regulates PB1-N40 expression, most likely
by a reinitiation mechanism that permits skipping of
AUG4. Surprisingly, we also found that in contrast to
plasmid-driven expression, viruses with improved
AUG1 initiation contexts produced less PB1 in
infected cells and replicated poorly, producing
virions with elevated particle:PFU ratios. Analysis
of the genome content of virus particles showed
reduced packaging of the mutant segment
2 vRNAs. Overall, we conclude that segment
2 mRNA translation is regulated by a combination
of leaky ribosomal scanning and reinitiation, and
that the sequences surrounding the PB1 AUG
codon are multifunctional, containing overlapping
signals for translation initiation and for segmentspecific
packaging
