scholarly journals Codon degeneracy and amino acid abundance influence the measures of codon usage bias: improved Nc (N̂c) and ENCprime (N̂′c) measures

2017 ◽  
Vol 22 (3) ◽  
pp. 277-283 ◽  
Author(s):  
Siddhartha Sankar Satapathy ◽  
Ajit Kumar Sahoo ◽  
Suvendra Kumar Ray ◽  
Tapash Chandra Ghosh
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Codon Degeneracy

scholarly journals Codon usage of highly expressed genes affects proteome-wide translation efficiency

2018 ◽  
Vol 115 (21) ◽  
pp. E4940-E4949 ◽  
Author(s):  
Idan Frumkin ◽  
Marc J. Lajoie ◽  
Christopher J. Gregg ◽  
Gil Hornung ◽  
George M. Church ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Amino Acid ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Protein Translation ◽  
Translation Efficiency ◽  
Synonymous Codons ◽  
Codon Composition ◽  
Theoretical Predictions ◽  
Highly Expressed Genes

Although the genetic code is redundant, synonymous codons for the same amino acid are not used with equal frequencies in genomes, a phenomenon termed “codon usage bias.” Previous studies have demonstrated that synonymous changes in a coding sequence can exert significantciseffects on the gene’s expression level. However, whether the codon composition of a gene can also affect the translation efficiency of other genes has not been thoroughly explored. To study how codon usage bias influences the cellular economy of translation, we massively converted abundant codons to their rare synonymous counterpart in several highly expressed genes inEscherichia coli. This perturbation reduces both the cellular fitness and the translation efficiency of genes that have high initiation rates and are naturally enriched with the manipulated codon, in agreement with theoretical predictions. Interestingly, we could alleviate the observed phenotypes by increasing the supply of the tRNA for the highly demanded codon, thus demonstrating that the codon usage of highly expressed genes was selected in evolution to maintain the efficiency of global protein translation.

scholarly journals Codon usage bias and tRNA over-expression in Buchnera aphidicola after aromatic amino acid nutritional stress on its host Acyrthosiphon pisum

2006 ◽  
Vol 34 (16) ◽  
pp. 4583-4592 ◽  
Author(s):  
Hubert Charles ◽  
Federica Calevro ◽  
José Vinuelas ◽  
Jean-Michel Fayard ◽  
Yvan Rahbe
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Aromatic Amino Acid ◽  
Acyrthosiphon Pisum ◽  
Nutritional Stress ◽  
Buchnera Aphidicola ◽  
Over Expression

scholarly journals Elucidation of Codon Usage Signatures across the Domains of Life

2018 ◽  
Author(s):  
Eva Maria Novoa ◽  
Olivier Jaillon ◽  
Irwin Jungreis ◽  
Manolis Kellis
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Gc Content ◽  
Single Amino Acid ◽  
Common Belief ◽  
Domain Specific ◽  
Optimal Codons ◽  
A Genome ◽  
Domains Of Life

AbstractDue to the degeneracy of the genetic code, multiple codons are translated into the same amino acid. Despite being ‘synonymous’, these codons are not equally used. Selective pressures are thought to drive the choice among synonymous codons within a genome, while GC content, which is generally attributed to mutational drift, is the major determinant of interspecies codon usage bias. Here we find that in addition to the bias caused by GC content, inter-species codon usage signatures can also be detected. More specifically, we show that a single amino acid, arginine, is the major contributor to codon usage bias differences across domains of life. We then exploit this finding, and show that the identified domain-specific codon bias signatures can be used to classify a given sequence into its corresponding domain with high accuracy. Considering that species belonging to the same domain share similar tRNA decoding strategies, we then wondered whether the inclusion of codon autocorrelation patterns might improve the classification performance of our algorithm. However, we find that autocorrelation patterns are not domain-specific, and surprisingly, are unrelated to tRNA reusage, in contrast to the common belief. Instead, our results reveal that codon autocorrelation patterns are a consequence of codon optimality throughout a sequence, where highly expressed genes display autocorrelated ‘optimal’ codons, whereas lowly expressed genes display autocorrelated ‘non-optimal’ codons.

scholarly journals Codon Usage Bias in Autophagy-Related Gene 13 in Eukaryotes: Uncovering the Genetic Divergence by the Interplay Between Nucleotides and Codon Usages

2021 ◽  
Vol 11 ◽  
Author(s):  
Yicong Li ◽  
Rui Wang ◽  
Huihui Wang ◽  
Feiyang Pu ◽  
Xili Feng ◽  
...  
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Essential Gene ◽  
Synonymous Codon ◽  
Phylogenetic Analyses ◽  
Nucleotide Composition ◽  
Synonymous Codon Usage ◽  
Related Gene ◽  
Codon Positions

Synonymous codon usage bias is a universal characteristic of genomes across various organisms. Autophagy-related gene 13 (atg13) is one essential gene for autophagy initiation, yet the evolutionary trends of the atg13 gene at the usages of nucleotide and synonymous codon remains unexplored. According to phylogenetic analyses for the atg13 gene of 226 eukaryotic organisms at the nucleotide and amino acid levels, it is clear that their nucleotide usages exhibit more genetic information than their amino acid usages. Specifically, the overall nucleotide usage bias quantified by information entropy reflected that the usage biases at the first and second codon positions were stronger than those at the third position of the atg13 genes. Furthermore, the bias level of nucleotide ‘G’ usage is highest, while that of nucleotide ‘C’ usage is lowest in the atg13 genes. On top of that, genetic features represented by synonymous codon usage exhibits a species-specific pattern on the evolution of the atg13 genes to some extent. Interestingly, the codon usages of atg13 genes in the ancestor animals (Latimeria chalumnae, Petromyzon marinus, and Rhinatrema bivittatum) are strongly influenced by mutation pressure from nucleotide composition constraint. However, the distributions of nucleotide composition at different codon positions in the atg13 gene display that natural selection still dominates atg13 codon usages during organisms’ evolution.

scholarly journals Patterns of genome-wide codon usage bias in tobacco, tomato and potato

2021 ◽  
Vol 35 (1) ◽  
pp. 657-664
Author(s):  
Ali Mostafa Anwar ◽  
Maha Aljabri ◽  
Mohamed El-Soda
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Genome Wide

scholarly journals Codon harmonization reduces amino acid misincorporation in bacterially expressed P. falciparum proteins and improves their immunogenicity

AMB Express ◽  
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Neeraja Punde ◽  
Jennifer Kooken ◽  
Dagmar Leary ◽  
Patricia M. Legler ◽  
Evelina Angov
Keyword(s):  
Protein Structure ◽  
Amino Acid ◽  
Codon Usage ◽  
Dna Sequences ◽  
Structural Integrity ◽  
Host Cells ◽  
Loss Of Function ◽  
Species Specific ◽  
And Function ◽  
The Impact

Abstract Codon usage frequency influences protein structure and function. The frequency with which codons are used potentially impacts primary, secondary and tertiary protein structure. Poor expression, loss of function, insolubility, or truncation can result from species-specific differences in codon usage. “Codon harmonization” more closely aligns native codon usage frequencies with those of the expression host particularly within putative inter-domain segments where slower rates of translation may play a role in protein folding. Heterologous expression of Plasmodium falciparum genes in Escherichia coli has been a challenge due to their AT-rich codon bias and the highly repetitive DNA sequences. Here, codon harmonization was applied to the malarial antigen, CelTOS (Cell-traversal protein for ookinetes and sporozoites). CelTOS is a highly conserved P. falciparum protein involved in cellular traversal through mosquito and vertebrate host cells. It reversibly refolds after thermal denaturation making it a desirable malarial vaccine candidate. Protein expressed in E. coli from a codon harmonized sequence of P. falciparum CelTOS (CH-PfCelTOS) was compared with protein expressed from the native codon sequence (N-PfCelTOS) to assess the impact of codon usage on protein expression levels, solubility, yield, stability, structural integrity, recognition with CelTOS-specific mAbs and immunogenicity in mice. While the translated proteins were expected to be identical, the translated products produced from the codon-harmonized sequence differed in helical content and showed a smaller distribution of polypeptides in mass spectra indicating lower heterogeneity of the codon harmonized version and fewer amino acid misincorporations. Substitutions of hydrophobic-to-hydrophobic amino acid were observed more commonly than any other. CH-PfCelTOS induced significantly higher antibody levels compared with N-PfCelTOS; however, no significant differences in either IFN-γ or IL-4 cellular responses were detected between the two antigens.

scholarly journals Codon usage bias and environmental adaptation in microbial organisms

2021 ◽  
Author(s):  
Davide Arella ◽  
Maddalena Dilucca ◽  
Andrea Giansanti
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Pathogenic Bacteria ◽  
Large Scale ◽  
Synonymous Codon ◽  
Principal Component ◽  
Gene Copy ◽  
Phenotypic Traits ◽  
Translational Efficiency ◽  
Microbial Organisms

AbstractIn each genome, synonymous codons are used with different frequencies; this general phenomenon is known as codon usage bias. It has been previously recognised that codon usage bias could affect the cellular fitness and might be associated with the ecology of microbial organisms. In this exploratory study, we investigated the relationship between codon usage bias, lifestyles (thermophiles vs. mesophiles; pathogenic vs. non-pathogenic; halophilic vs. non-halophilic; aerobic vs. anaerobic and facultative) and habitats (aquatic, terrestrial, host-associated, specialised, multiple) of 615 microbial organisms (544 bacteria and 71 archaea). Principal component analysis revealed that species with given phenotypic traits and living in similar environmental conditions have similar codon preferences, as represented by the relative synonymous codon usage (RSCU) index, and similar spectra of tRNA availability, as gauged by the tRNA gene copy number (tGCN). Moreover, by measuring the average tRNA adaptation index (tAI) for each genome, an index that can be associated with translational efficiency, we observed that organisms able to live in multiple habitats, including facultative organisms, mesophiles and pathogenic bacteria, are characterised by a reduced translational efficiency, consistently with their need to adapt to different environments. Our results show that synonymous codon choices might be under strong translational selection, which modulates the choice of the codons to differently match tRNA availability, depending on the organism’s lifestyle needs. To our knowledge, this is the first large-scale study that examines the role of codon bias and translational efficiency in the adaptation of microbial organisms to the environment in which they live.

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