Analysis of Codon Usage in Herpesvirus Glycoprotein B (gB) Gene

2011 ◽  
Vol 343-344 ◽  
pp. 721-728
Author(s):  
Long Jiang ◽  
An Chun Cheng ◽  
Ming Shu Wang ◽  
De Kang Zhu ◽  
Ren Yong Jia
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Codon Position ◽  
Pearson Correlation ◽  
Gc Content ◽  
Correlation Coefficients ◽  
Mutational Bias ◽  
Synonymous Codons ◽  
Base Position ◽  
Two Factors

Due to the degeneracy of genetic code, most amino acids are coded by more than one codon (synonymous codons). The synonymous codons are not used at equal frequencies both within and between organisms. Of the total 33 herpesvirus gB genes, approximately 9.1% of the total gB genes had low codon bias (ENC<35), 72.7% of the gB genes had high ENC values (ENC>50), indicating that these gB genes had random codon usage in herpesviruses. There might be no direct correlation between the codon usage bias and the host, which indicates that the tRNA abundance of the host was not the main factor influencing the codon usage bias. A plot of ENC vs. GC3 indicates that mutational bias may be a more important factor than tRNA abundance in determining codon usage bias of herpesvirus gB genes. Pearson correlation coefficients between the ENC value and corresponding GC%, cumulative GC% in 2nd (GC2%) and 3rd codon position (GC3%) of each herpesvirus gB gene were -0.621 (p<0.01), -0.656 (p<0.01) and -0.712 (p<0.01), respectively, which implies that significant correlations existed between them. But no significant correlations existed between ENC and cumulative GC% in 1st codon position of each herpesviral gB gene. Furthermore, significant correlations also existed between GC% and GC3% of 33 herpesvirus gB genes (r=0.856, p<0.01). So it seems that, GC content, and particularly GC content at the 3rd base position, contributing greatly to the effective number of codons, indicating that the mutational bias dominates over translational selection. Further analysis on the relationship between gene length and ENC of 33 herpesvirus gB genes demonstrated that the two factors were not correlated. Significant correlations were found between the gene expression levels assessed by CAI value and ENC (r = -0.424, p<0.05) and GC3 values (r = 0.644, p<0.01).

Characterization of Codon Usage Bias in UL13 Gene of the Duck Plague Virus

2011 ◽  
Vol 393-395 ◽  
pp. 641-650
Author(s):  
Xi Xia Hu ◽  
An Chun Cheng ◽  
Ming Shu Wang
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Codon Position ◽  
Expression System ◽  
Expression Systems ◽  
Yeast Expression System ◽  
E Coli ◽  
Synonymous Codons ◽  
Suitable Expression

A comprehensive analysis of codon usage bias of DPV UL13 gene (GenBank Accession No. EU195098) was performed to provide a basis for understanding the relevant mechanism for its biased usage of synonymous codons and for selecting suitable expression systems to improve the expression of UL13 genes. Our study showed that codon usage bias of DPV UL13 gene strongly prefered to the synonymous with A and T at the third codon position. And ENC value and GC3s contents of the codon usage bias of UL13 gene in DPV were significantly different compared with those in other 21 reference herpesviruses. The phylogentic analysis about the putative protein of DPV UL13 and the 21 reference herpesviruses revealed that DPV was evolutionarily closer to the AnHV-1. In addition, the codon usage bias of DPV UL13 gene was compared with those of E. coli, yeast and human. There are 23 codons showing distinct usage differences between DPV and E. coli, 12 codons between DPV and yeast, 21 codons between DPV and human. Therefore, the yeast expression system is more appropriate for heterologous expression of the DPV UL13 gene.

scholarly journals Comparisons of Coding and Noncoding Sequences to infer the Origin of Codon usage Bias

2017 ◽  
Author(s):  
Prashant Mainali ◽  
Sobita Pathak
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Gc Content ◽  
Mutation Bias ◽  
Translation Process ◽  
Noncoding Regions ◽  
Coding Regions ◽  
Synonymous Codons ◽  
Shed Light

ABSTRACTCodon usage bias is the preferential use of the subset of synonymous codons during translation. In this paper, the comparisons of normalized entropy and GC content between the sequence of coding regions of Escherichia coli k12 and noncoding regions (ncRNA, rRNA) of various organisms were done to shed light on the origin of the codon usage bias.The normalized entropy of the coding regions was found significantly higher than the noncoding regions, suggesting the role of the translation process in shaping codon usage bias. Further, when the position specific GC content of both coding and noncoding regions was analyzed, the GC2 content in coding regions was lower than GC1 and GC2 while in noncoding regions, the GC1, GC2, GC3 contents were approximately equal. This discrepancy is explained by the biased mutation coupled with the presence and absence of selection pressure. The accumulation of CG content occurs in the sequences due to mutation bias in DNA repair and recombination process. In noncoding regions, the mutation is harmful and thus, selected against while due to the degeneracy of codons in coding regions, a mutation in GC3 is neutral and hence, not selected. Thus, the accumulation of GC content occurs in coding regions, and thus codon usage bias occurs.

scholarly journals Analysis of codon usage bias reveals optimal codons in Elaeis guineensis

2020 ◽  
Vol 21 (11) ◽  
Author(s):  
Redi Aditama ◽  
Zulfikar Achmad Tanjung ◽  
Widyartini Made Sudania ◽  
Yogo Adhi Nugroho ◽  
Condro Utomo ◽  
...  
Keyword(s):  
Codon Usage ◽  
Oil Palm ◽  
Codon Usage Bias ◽  
Elaeis Guineensis ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Mutational Bias ◽  
Optimal Codons ◽  
Good Ability

Abstract. Aditama R, Tanjung ZA, Sudania WM, Nugroho YA, Utomo C, Liwang T. 2020. Analysis of codon usage bias reveals optimal codons in Elaeis guineensis. Biodiversitas 21: 5331-5337. Codon usage bias of oil palm genome was reported employing several indices, including GC content, relative synonymous codon usage (RSCU), the effective number of codons (ENC), and codon adaptation index (CAI). Unimodal distribution of GC content was observed and matched with non-grass monocots characteristics. Correspondence analysis (COA) on synonymous codon usage bias showed that the main axis was strongly driven by GC content. The ENC and neutrality plot of oil palm genes indicating that natural selection played more vital role compared to mutational bias on shaping codon usage bias. A positive correlation between calculated CAI and experimental data of oil palm gene expression was detected indicating good ability of this index. Finally, eighteen codons were defined as “optimal codons” that may provide a useful reference for heterogeneous expression and genome editing studies.

scholarly journals Comprehensive Analysis and Comparison on the Codon Usage Pattern of Whole Mycobacterium tuberculosis Coding Genome from Different Area

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Li Gun ◽  
Ren Yumiao ◽  
Pan Haixian ◽  
Zhang Liang
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Gc Content ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Strong Negative Correlation ◽  
Synonymous Codons ◽  
The Relationship ◽  
Adaptation Index

Phenomenon of unequal use of synonymous codons in Mycobacterium tuberculosis is common. Codon usage bias not only plays an important regulatory role at the level of gene expression, but also helps in improving the accuracy and efficiency of translation. Meanwhile, codon usage pattern of Mycobacterium tuberculosis genome is important for interpreting evolutionary characteristics in species. In order to investigate the codon usage pattern of the Mycobacterium tuberculosis genome, 12 Mycobacterium tuberculosis genomes from different area are downloaded from the GeneBank. The correlations between G3, GC12, whole GC content, codon adaptation index, codon bias index, and so on of Mycobacterium tuberculosis genomes are calculated. The ENC-plot, relationship between A3/(A3+T3) and G3/(G3+C3), GC12 versus GC3 plot, and the RSCU of overall/separated genomes all show that the codon usage bias exists in all 12 Mycobacterium tuberculosis genomes. Lastly, relationship between CBI and the equalization of ENC shows a strong negative correlation between them. The relationship between protein length and GC content (GC3 and GC12) shows that more obvious differences in the GC content may be in shorter protein. These results show that codon usage bias existing in the Mycobacterium tuberculosis genomes could be used for further study on their evolutionary phenomenon.

Characterization of Codon Usage Bias in the UL17 Gene of Duck Enteritis Virus

2013 ◽  
Vol 641-642 ◽  
pp. 666-674
Author(s):  
Ting Wen ◽  
An Chun Cheng ◽  
Ming Shu Wang
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Codon Position ◽  
Expression System ◽  
Duck Enteritis Virus ◽  
Yeast Expression System ◽  
E Coli ◽  
Synonymous Codons ◽  
Enteritis Virus

The analysis on codon usage bias of UL17 gene of duck enteritis virus (DEV) may provide a basis for understanding the relevant mechanism for its biased usage of synonymous codons and for selecting appropriate host expression systems to improve the expression of DEV UL17 gene. In this study the results indicate that codon usage bias of DEV UL17 gene strongly preferred to the synonymous with A and T at third codon position. The ENC values and GC3S contents of the codon usage bias of UL17 genes in DEV and the 20 reference herpesviruses were obviously different. In addition, we compared the codon usage bias of DEV UL17 gene with E.coli, yeast and human. There are 25 codons showing distinct usage differences between DEV and E. coli, 17 codons between DEV and yeast, 23 codons between DEV and human. Therefore, the yeast expression system is more suitable for heterologous expression of the DEV UL17 gene.

Comparative analysis of codon usage patterns in SARS-CoV-2, its mutants and other respiratory viruses

2021 ◽  
Author(s):  
Neetu Tyagi ◽  
Rahila Sardar ◽  
Dinesh Gupta
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Gc Content ◽  
Respiratory Illness ◽  
Respiratory Viruses ◽  
Nucleotide Composition ◽  
Health Crisis ◽  
Study Results ◽  
Usage Patterns ◽  
The Difference

AbstractThe Coronavirus disease 2019 (COVID-19) outbreak caused by Severe Acute Respiratory Syndrome Coronavirus 2 virus (SARS-CoV-2) poses a worldwide human health crisis, causing respiratory illness with a high mortality rate. To investigate the factors governing codon usage bias in all the respiratory viruses, including SARS-CoV-2 isolates from different geographical locations (~62K), including two recently emerging strains from the United Kingdom (UK), i.e., VUI202012/01 and South Africa (SA), i.e., 501.Y.V2 codon usage bias (CUBs) analysis was performed. The analysis includes RSCU analysis, GC content calculation, ENC analysis, dinucleotide frequency and neutrality plot analysis. We were motivated to conduct the study to fulfil two primary aims: first, to identify the difference in codon usage bias amongst all SARS-CoV-2 genomes and, secondly, to compare their CUBs properties with other respiratory viruses. A biased nucleotide composition was found as most of the highly preferred codons were A/U-ending in all the respiratory viruses studied here. Compared with the human host, the RSCU analysis led to the identification of 11 over-represented codons and 9 under-represented codons in SARS-CoV-2 genomes. Correlation analysis of ENC and GC3s revealed that mutational pressure is the leading force determining the CUBs. The present study results yield a better understanding of codon usage preferences for SARS-CoV-2 genomes and discover the possible evolutionary determinants responsible for the biases found among the respiratory viruses, thus unveils a unique feature of the SARS-CoV-2 evolution and adaptation. To the best of our knowledge, this is the first attempt at comparative CUBs analysis on the worldwide genomes of SARS-CoV-2, including novel emerged strains and other respiratory viruses.

scholarly journals Coupling Between Protein Level Selection and Codon Usage Optimization in the Evolution of Bacteria and Archaea

mBio ◽  
2014 ◽  
Vol 5 (2) ◽  
Author(s):  
Wenqi Ran ◽  
David M. Kristensen ◽  
Eugene V. Koonin
Keyword(s):  
Codon Usage ◽  
Protein Level ◽  
Codon Usage Bias ◽  
Protein Sequence ◽  
Gc Content ◽  
Protein Sequences ◽  
Microbial Evolution ◽  
Fine Tuning ◽  
Selection For ◽  
Genomic Gc Content

ABSTRACT The relationship between the selection affecting codon usage and selection on protein sequences of orthologous genes in diverse groups of bacteria and archaea was examined by using the Alignable Tight Genome Clusters database of prokaryote genomes. The codon usage bias is generally low, with 57.5% of the gene-specific optimal codon frequencies (F opt ) being below 0.55. This apparent weak selection on codon usage contrasts with the strong purifying selection on amino acid sequences, with 65.8% of the gene-specific dN/dS ratios being below 0.1. For most of the genomes compared, a limited but statistically significant negative correlation between F opt and dN/dS was observed, which is indicative of a link between selection on protein sequence and selection on codon usage. The strength of the coupling between the protein level selection and codon usage bias showed a strong positive correlation with the genomic GC content. Combined with previous observations on the selection for GC-rich codons in bacteria and archaea with GC-rich genomes, these findings suggest that selection for translational fine-tuning could be an important factor in microbial evolution that drives the evolution of genome GC content away from mutational equilibrium. This type of selection is particularly pronounced in slowly evolving, “high-status” genes. A significantly stronger link between the two aspects of selection is observed in free-living bacteria than in parasitic bacteria and in genes encoding metabolic enzymes and transporters than in informational genes. These differences might reflect the special importance of translational fine-tuning for the adaptability of gene expression to environmental changes. The results of this work establish the coupling between protein level selection and selection for translational optimization as a distinct and potentially important factor in microbial evolution. IMPORTANCE Selection affects the evolution of microbial genomes at many levels, including both the structure of proteins and the regulation of their production. Here we demonstrate the coupling between the selection on protein sequences and the optimization of codon usage in a broad range of bacteria and archaea. The strength of this coupling varies over a wide range and strongly and positively correlates with the genomic GC content. The cause(s) of the evolution of high GC content is a long-standing open question, given the universal mutational bias toward AT. We propose that optimization of codon usage could be one of the key factors that determine the evolution of GC-rich genomes. This work establishes the coupling between selection at the level of protein sequence and at the level of codon choice optimization as a distinct aspect of genome evolution.

scholarly journals Codon usage bias creates a ramp of hydrogen bonding at the 5′-end in prokaryotic ORFeomes

2019 ◽  
Author(s):  
Juan C. Villada ◽  
Maria F. Duran ◽  
Patrick K. H. Lee
Keyword(s):  
Hydrogen Bonding ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Translation Efficiency ◽  
Molecular Processes ◽  
Molecular Feature ◽  
Web Based ◽  
Synonymous Codons ◽  
Double Stranded Dna ◽  
Codon Positions

Codon usage bias exerts control over a wide variety of molecular processes. The positioning of synonymous codons within coding sequences (CDSs) dictates protein expression by mechanisms such as local translation efficiency, mRNA Gibbs free energy, and protein co-translational folding. In this work, we explore how codon variants affect the position-dependent content of hydrogen bonding, which in turn influences energy requirements for unwinding double-stranded DNA. By analyzing over 14,000 bacterial, archaeal, and fungal ORFeomes, we found that Bacteria and Archaea exhibit an exponential ramp of hydrogen bonding at the 5′-end of CDSs, while a similar ramp was not found in Fungi. The ramp develops within the first 20 codon positions in prokaryotes, eventually reaching a steady carrying capacity of hydrogen bonding that does not differ from Fungi. Selection against uniformity tests proved that selection acts against synonymous codons with high content of hydrogen bonding at the 5′-end of prokaryotic ORFeomes. Overall, this study provides novel insights into the molecular feature of hydrogen bonding that is governed by the genetic code at the 5′-end of CDSs. A web-based application to analyze the position-dependent hydrogen bonding of ORFeomes has been developed and is publicly available (https://juanvillada.shinyapps.io/hbonds/).

Comparative analysis of codon usage bias in Crenarchaea and Euryarchaea genome reveals differential preference of synonymous codons to encode highly expressed ribosomal and RNA polymerase proteins

2016 ◽  
Vol 95 (3) ◽  
pp. 537-549 ◽  
Author(s):  
VISHWA JYOTI BARUAH ◽  
SIDDHARTHA SANKAR SATAPATHY ◽  
BHESH RAJ POWDEL ◽  
ROCKTOTPAL KONWARH ◽  
ALAK KUMAR BURAGOHAIN ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Rna Polymerase ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Synonymous Codons

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.

Sign in / Sign up

Export Citation Format

Share Document