Selective constraints in yeast genes with differential expressivity: codon pair usage and mRNA stability perspectives

Protein translation has been elucidated to be dictated by evolutionary constraints, namely, variations in tRNA availabilities and/or variations in codon-anticodon binding that is manifested in biased codon usage. Taking advantage of publicly available mRNA expression and protein abundance data for Saccharomyces cerevisiae, we have performed a comprehensive analysis of the diverse factors guiding translation leading to desired protein levels irrespective of the corresponding high or low mRNA levels. It has been elucidated in this study that different combinations of most abundant/non abundant tRNA isoacceptors are selected for in S. cerevisiae that helps in achieving the optimum speed and accuracy in the protein translation process. This is also accompanied by the strategic location of codon pairs in coherence to mRNA secondary structure folding stability for the above mentioned combinations of tRNA isoacceptors. We thus find that codon pair contextual effects; in addition to tRNA abundance and mRNA folding stability during translation elongation process play plausible roles in maintaining translation accuracy and speed that can achieve desired protein levels.     

Reinvestigating the codon and amino acid usage of S. cerevisiae genome: a new insight from protein secondary structure analysis

Biased usage of synonymous codons has been elucidated under the perspective of cellular tRNA abundance for quite a long time now. Taking advantage of publicly available gene expression data for Saccharomyces cerevisiae, a systematic analysis of the codon and amino acid usages in two different coding regions corresponding to the regular (helix and strand) as well as the irregular (coil) protein secondary structures, have been performed. Our analyses suggest that apart from tRNA abundance, mRNA folding stability is another major evolutionary force in shaping the codon and amino acid usage differences between the highly and lowly expressed genes in S. cerevisiae genome and surprisingly it depends on the coding regions corresponding to the secondary structures of the encoded proteins. This is obviously a new paradigm in understanding the codon usage in S. cerevisiae. Differential amino acid usage between highly and lowly expressed genes in the regions coding for the irregular protein secondary structure in S. cerevisiae is expounded by the stability of the mRNA folded structure. Irrespective of the protein secondary structural type, the highly expressed genes always tend to encode cheaper amino acids in order to reduce the overall biosynthetic cost of production of the corresponding protein. This study supports the hypothesis that the tRNA abundance is a consequence of and not a reason for the biased usage of amino acid between highly and lowly expressed genes.     

Discordant protein and mRNA expression in lung adenocarcinomas

The relationship between gene expression measured at the mRNA level and the corresponding protein level is not well characterized in human cancer. In this study, we compared mRNA and protein expression for a cohort of genes in the same lung adenocarcinomas. The abundance of 165 protein spots representing 98 individual genes was analyzed in 76 lung adenocarcinomas and nine non-neoplastic lung tissues using two-dimensional polyacrylamide gel electrophoresis. Specific polypeptides were identified using matrix-assisted laser desorption/ionization mass spectrometry. For the same 85 samples, mRNA levels were determined using oligonucleotide microarrays, allowing a comparative analysis of mRNA and protein expression among the 165 protein spots. Twenty-eight of the 165 protein spots (17%) or 21 of 98 genes (21.4%) had a statistically significant correlation between protein and mRNA expression (r > 0.2445; p < 0.05); however, among all 165 proteins the correlation coefficient values (r) ranged from -0.467 to 0.442. Correlation coefficient values were not related to protein abundance. Further, no significant correlation between mRNA and protein expression was found (r = -0.025) if the average levels of mRNA or protein among all samples were applied across the 165 protein spots (98 genes). The mRNA/protein correlation coefficient also varied among proteins with multiple isoforms, indicating potentially separate isoform-specific mechanisms for the regulation of protein abundance. Among the 21 genes with a significant correlation between mRNA and protein, five genes differed significantly between stage I and stage III lung adenocarcinomas. Using a quantitative analysis of mRNA and protein expression within the same lung adenocarcinomas, we showed that only a subset of the proteins exhibited a significant correlation with mRNA abundance.     

Bacterial translational control at atomic resolution

Translational regulation allows rapid adaptation of protein synthesis to environmental conditions. In prokaryotes, the synthesis of many RNA-binding proteins is regulated by a translational feedback mechanism involving a competition between their natural substrate and their binding site on mRNA, which are often thought to resemble each other. This article describes the case of threonyl-tRNA synthetase, which represses the translation of its own mRNA. Recent data provide the first opportunity to describe at the atomic level both the extent and the limit of mimicry between the way this enzyme recognizes tRNA(Thr) and its regulatory site in mRNA. The data also give some clues about how the binding of the synthetase to its mRNA inhibits translation.     

How optimized is the translational machinery in Escherichia coli,Salmonella typhimurium and Saccharomyces cerevisiae?

The optimization of the translational machinery in cells requires the mutual adaptation of codon usage and tRNA concentration, and the adaptation of tRNA concentration to amino acid usage. Two predictions were derived based on a simple deterministic model of translation which assumes that elongation of the peptide chain is rate-limiting. The highest translational efficiency is achieved when the codon recognized by the most abundant tRNA reaches the maximum frequency. For each codon family, the tRNA concentration is optimally adapted to codon usage when the concentration of different tRNA species matches the square-root of the frequency of their corresponding synonymous codons. When tRNA concentration and codon usage are well adapted to each other, the optimal content of all tRNA species carrying the same amino acid should match the square-root of the frequency of the amino acid. These predictions are examined against empirical data from Escherichia coli, Salmonella typhimurium, and Saccharomyces cerevisiae.     

Low Complexity Regions behave as tRNA sponges to help co-translational folding of plasmodial proteins

In most organisms, the information necessary to specify the native 3D-structures of proteins is encoded in the corresponding mRNA sequences. Translational accuracy and efficiency are coupled and sequences that are slowly translated play an essential role in the concomitant folding of protein domains. Here, we suggest that the well-known mechanisms for the regulation of translational efficiency, which involves mRNA structure and/or asymmetric tRNA abundance, do not apply to all organisms. We propose that Plasmodium, the parasite responsible for malaria, uses an alternative strategy to slow down ribosomal speed and avoid multidomain protein misfolding during translation. In our model, the abundant Low Complexity Regions present in Plasmodium proteins replace the codon preferences, which influence the assembly of protein secondary structures.     

Experimental confirmation of a key role for non-optimal codons in protein export

Non-optimal codons are defined by low usage and low abundance of corresponding tRNA, and have an established role in translational pausing to allow the correct folding of proteins. Our previous work reported a striking abundance of non-optimal codons in the signal sequences of secretory proteins exported via the sec-dependent pathway in Escherichia coli. In the current study the signal sequence of maltose-binding protein (MBP) was altered so that non-optimal codons were substituted with the most optimal codon from their synonymous codon family. The expression of MBP from the optimized allele (malE-opt) was significantly less than wild-type malE. Expression of MBP from malE-opt was partially restored in a range of cytoplasmic and periplasmic protease deficient strains, confirming that reduced expression of MBP in malE-opt was due to its preferential degradation by cytoplasmic and periplasmic proteases. These data confirm a novel role for non-optimal codon usage in secretion by slowing the rate of translation across the N-terminal signal sequence to facilitate proper folding of the secreted protein.     

Media dependence of translational mutant phenotype

Abstract We have measured the growth rates of some ribosomal mutants of Escherichia coli in different growth media. The mutants are a streptomycin resistant (SmR) mutation in rpsL; a partially streptomycin dependent (SmP) mutation in rpsL; a ribosome ambiguity mutant (ram) in rpsD; a ram mutant in rpsE as well as a mutant defective in tRNA modification, mia A. The data show that the growth rates of all mutants are less inhibited in poor media than they are in rich ones. The translation rates and nonsense suppression levels for each mutant are not significantly different in rich and poor media, which shows that the ribosomal mutant phenotypes are maintained under different growth conditions. These results suggest that the degree of growth inhibition for mutants with altered translation machinery is dependent on the growth conditions. In addition, the data suggest that bacteria are able to physiologically compensate for the loss of growth efficiency in such mutants, particularly, under poor growth conditions.     

The role of tRNA and ribosome competition in coupling the expression of different mRNAs in Saccharomyces cerevisiae

Protein synthesis translates information from messenger RNAs into functional proteomes. Because of the finite nature of the resources required by the translational machinery, both the overall protein synthesis activity of a cell and activity on individual mRNAs are controlled by the allocation of limiting resources. Upon introduction of heterologous sequences into an organism-for example for the purposes of bioprocessing or synthetic biology-limiting resources may also become overstretched, thus negatively affecting both endogenous and heterologous gene expression. In this study, we present a mean-field model of translation in Saccharomyces cerevisiae for the investigation of two particular translational resources, namely ribosomes and aminoacylated tRNAs. We firstly use comparisons of experiments with heterologous sequences and simulations of the same conditions to calibrate our model, and then analyse the behaviour of the translational system in yeast upon introduction of different types of heterologous sequences. Our main findings are that: competition for ribosomes, rather than tRNAs, limits global translation in this organism; that tRNA aminoacylation levels exert, at most, weak control over translational activity; and that decoding speeds and codon adaptation exert strong control over local (mRNA specific) translation rates.