Comparative study of the hemagglutinin and neuraminidase genes of influenza A virus H3N2, H9N2, and H5N1 subtypes using bioinformatics techniques

2007 ◽  
Vol 53 (7) ◽  
pp. 830-839 ◽  
Author(s):  
Insung Ahn ◽  
Hyeon S. Son
Keyword(s):  
Codon Usage ◽  
Influenza A Virus ◽  
Host Species ◽  
Influenza A ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Evolutionary Patterns ◽  
Over Time

To investigate the genomic patterns of influenza A virus subtypes, such as H3N2, H9N2, and H5N1, we collected 1842 sequences of the hemagglutinin and neuraminidase genes from the NCBI database and parsed them into 7 categories: accession number, host species, sampling year, country, subtype, gene name, and sequence. The sequences that were isolated from the human, avian, and swine populations were extracted and stored in a MySQL®database for intensive analysis. The GC content and relative synonymous codon usage (RSCU) values were calculated using JAVA codes. As a result, correspondence analysis of the RSCU values yielded the unique codon usage pattern (CUP) of each subtype and revealed no extreme differences among the human, avian, and swine isolates. H5N1 subtype viruses exhibited little variation in CUPs compared with other subtypes, suggesting that the H5N1 CUP has not yet undergone significant changes within each host species. Moreover, some observations may be relevant to CUP variation that has occurred over time among the H3N2 subtype viruses isolated from humans. All the sequences were divided into 3 groups over time, and each group seemed to have preferred synonymous codon patterns for each amino acid, especially for arginine, glycine, leucine, and valine. The bioinformatics technique we introduce in this study may be useful in predicting the evolutionary patterns of pandemic viruses.

scholarly journals Natural Selection Determines Synonymous Codon Usage Patterns of Neuraminidase (NA) Gene of the Different Subtypes of Influenza A Virus in Canada

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Youhua Chen
Keyword(s):  
Natural Selection ◽  
Codon Usage ◽  
Influenza A Virus ◽  
Influenza A ◽  
Synonymous Codon ◽  
Phylogenetic Signal ◽  
Synonymous Codon Usage ◽  
Usage Patterns ◽  
Na Sequences ◽  
Na Gene

Synonymous codon usage patterns of neuraminidase (NA) gene of 64 subtypes (one is a mixed subtype) of influenza A virus found in Canada were analyzed. In total, 1422 NA sequences were analyzed. Among the subtypes, H1N1 is the prevailing one with 516 NCBI accession records, followed by H3N2, H3N8, and H4N6. The year of 2009 has the highest report records for the NA sequences in Canada, corresponding to the 2009 pandemic event. Correspondence analysis on the RSCU values of the four major subtypes showed that they had distinct clustering patterns in the two-dimensional scatter plot, indicating that different subtypes of IAV utilized different preferential codons. This subtype clustering pattern implied the important influence of natural selection, which could be further evidenced by an extremely flattened regression line in the neutrality plot (GC12 versus G3s plot) and a significant phylogenetic signal on the distribution of different subtypes in the clades of the phylogenetic tree (λ statistic). In conclusion, different subtypes of IAV showed an evolutionary differentiation on choosing different optimal codons. Natural selection played a deterministic role to structure IAV codon usage patterns in Canada.

scholarly journals Analysis of SARS-CoV-2 synonymous codon usage evolution throughout the COVID-19 pandemic.

2021 ◽  
Author(s):  
Ezequiel G. Mogro ◽  
Daniela Bottero ◽  
Mauricio J. Lozano
Keyword(s):  
Codon Usage ◽  
Synonymous Codon ◽  
Bioinformatic Analysis ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Genome Wide ◽  
Life Threatening ◽  
Effective Number Of Codons ◽  
Over Time

SARS-CoV-2, the seventh coronavirus known to infect humans, can cause severe life-threatening respiratory pathologies. To better understand SARS-CoV-2 evolution, genome-wide analyses have been made, including the general characterization of its codons usage profile. Here we present a bioinformatic analysis of the evolution of SARS-CoV-2 codon usage over time using complete genomes collected since December 2019. Our results show that SARS-CoV-2 codon usage pattern is antagonistic to, and it is getting farther away from that of the human host. Further, a selection of deoptimized codons over time, which was accompanied by a decrease in both the codon adaptation index and the effective number of codons, was observed. All together, these findings suggest that SARS-CoV-2 could be evolving, at least from the perspective of the synonymous codon usage, to become less pathogenic.

scholarly journals Multivariate analyses of codon usage of SARS-CoV-2 and other betacoronaviruses

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Haogao Gu ◽  
Daniel K W Chu ◽  
Malik Peiris ◽  
Leo L M Poon
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Codon Usage ◽  
Influenza A ◽  
Multivariate Analyses ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Health Concern ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Influenza A Viruses

Abstract Coronavirus disease 2019 (COVID-19) is a global health concern as it continues to spread within China and beyond. The causative agent of this disease, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), belongs to the genus Betacoronavirus, which also includes severe acute respiratory syndrome-related coronavirus (SARSr-CoV) and Middle East respiratory syndrome-related coronavirus (MERSr-CoV). Codon usage of viral genes are believed to be subjected to different selection pressures in different host environments. Previous studies on codon usage of influenza A viruses helped identify viral host origins and evolution trends, however, similar studies on coronaviruses are lacking. In this study, we compared the codon usage bias using global correspondence analysis (CA), within-group CA and between-group CA. We found that the bat RaTG13 virus best matched the overall codon usage pattern of SARS-CoV-2 in orf1ab, spike and nucleocapsid genes, while the pangolin P1E virus had a more similar codon usage in membrane gene. The amino acid usage pattern of SARS-CoV-2 was generally found similar to bat and human SARSr-CoVs. However, we found greater synonymous codon usage differences between SARS-CoV-2 and its phylogenetic relatives on spike and membrane genes, suggesting these two genes of SARS-CoV-2 are subjected to different evolutionary pressures.

scholarly journals Genome-wide characterization and identification of synonymous codon usage patterns in Plasmodium knowlesi

2021 ◽  
Author(s):  
Manoj Kumar Yadav ◽  
Shivani Gajbhiye
Keyword(s):  
Codon Usage ◽  
Plasmodium Knowlesi ◽  
Sequence Data ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Optimal Codons ◽  
Usage Patterns

AbstractCodon usage bias is a ubiquitous phenomenon occurring at both, interspecies and intraspecies level in different organisms. P. knowlesi, whose natural host is long-tailed Macaque monkeys, has recently started infecting humans as well. The genome as well as coding sequence data of P. knowlesi is used to understand their codon usage pattern in the light of other human infecting Plasmodium species: P. vivax and P. falciparum. The different codon usage indicators: GC content, relative synonymous codon usage, effective number of codon and codon adaptation index are studied to analyze codon usage in the Plasmodium species. The codon usage pattern is found to be less conserved in studied Plasmodium species, and changes species to species at the genus level. The codon usage pattern of P. knowlesi shows similarity to P. vivax as compared to P. falciparum. The ENC vs. GC3 study indicates that compositional constraints and translation selection is the decisive forces responsible for shaping their codon usage. The studies Plasmodium species shows a higher usage of A/T ending optimal codons. This favors the codon bias in P. knowlesi and P. vivax is due to high selection pressure and in P. falciparum, the compositional mutational pressure is a dominant force. In a nutshell, our finding suggests that the more or less similar codon usage pattern of P. knowlesi and P. vivax may suggest the similar host invasion and immune evasion strategies for disease establishment.

Analysis of synonymous codon usage inShigella flexneri2a strain 301 and otherShigellaandEscherichia colistrains

2011 ◽  
Vol 57 (12) ◽  
pp. 1016-1023 ◽  
Author(s):  
Xue Lian Luo ◽  
Jian Guo Xu ◽  
Chang Yun Ye
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Synonymous Codon ◽  
Shigella Flexneri ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Mutational Pressure ◽  
E Coli ◽  
Shigella Flexneri 2A ◽  
Usage Patterns

In this study, we analysed synonymous codon usage in Shigella flexneri 2a strain 301 (Sf301) and performed a comparative analysis of synonymous codon usage patterns in Sf301 and other strains of Shigella and Escherichia coli . Although there was a significant variety in codon usage bias among different Sf301 genes, there was a slight but observable codon usage bias that could primarily be attributable to mutational pressure and translational selection. In addition, the relative abundance of dinucleotides in Sf301 was observed to be independent of the overall base composition but was still caused by differential mutational pressure; this also shaped codon usage. By comparing the relative synonymous codon usage values across different Shigella and E. coli strains, we suggested that the synonymous codon usage pattern in the Shigella genomes was strain specific. This study represents a comprehensive analysis of Shigella codon usage patterns and provides a basic understanding of the mechanisms underlying codon usage bias.

Synonymous codon usage pattern analysis of Hepatitis D virus

2013 ◽  
Vol 173 (2) ◽  
pp. 350-353 ◽  
Author(s):  
Arghya Kamal Bishal ◽  
Rashmi Mukherjee ◽  
Chandan Chakraborty
Keyword(s):  
Codon Usage ◽  
Pattern Analysis ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Hepatitis D ◽  
Hepatitis D Virus

scholarly journals Dinucleotide evolutionary dynamics in influenza A virus

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Haogao Gu ◽  
Rebecca L Y Fan ◽  
Di Wang ◽  
Leo L M Poon
Keyword(s):  
Influenza Virus ◽  
Codon Usage ◽  
Influenza A Virus ◽  
Codon Usage Bias ◽  
Influenza A ◽  
Evolutionary Dynamics ◽  
Synonymous Codon ◽  
Amino Acid Sequences ◽  
In Vivo Models

Abstract Significant biases of dinucleotide composition in many RNA viruses including influenza A virus have been reported in recent years. Previous studies have showed that a codon-usage-altered influenza mutant with elevated CpG usage is attenuated in mammalian in vitro and in vivo models. However, the relationship between dinucleotide preference and codon usage bias is not entirely clear and changes in dinucleotide usage of influenza virus during evolution at segment level are yet to be investigated. In this study, a Monte Carlo type method was applied to identify under-represented or over-represented dinucleotide motifs, among different segments and different groups, in influenza viral sequences. After excluding the potential biases caused by codon usage and amino acid sequences, CpG and UpA were found under-represented in all viral segments from all groups, whereas UpG and CpA were found over-represented. We further explored the temporal changes of usage of these dinucleotides. Our analyses revealed significant decrease of CpG frequency in Segments 1, 3, 4, and 5 in seasonal H1 virus after its re-emergence in humans in 1977. Such temporal variations were mainly contributed by the dinucleotide changes at the codon positions 3-1 and 2-3 where silent mutations played a major role. The depletions of CpG and UpA through silent mutations consequently led to over-representations of UpG and CpA. We also found that dinucleotide preference directly results in significant synonymous codon usage bias. Our study helps to provide details on understanding the evolutionary history of influenza virus and selection pressures that shape the virus genome.

Characterization of Codon Usage Bias in the UL55 Gene of Duck Enteritis Virus

2011 ◽  
Vol 204-210 ◽  
pp. 649-662 ◽  
Author(s):  
Ying Wu ◽  
An Chun Cheng ◽  
Ming Shu Wang ◽  
De Kang Zhu ◽  
Xiao Yue Chen
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Duck Enteritis Virus ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
E Coli ◽  
Usage Patterns ◽  
Enteritis Virus

The analysis of codon usage may improve our understanding of the evolution and pathogenesis of DEV（Duck enteritis virus） and allow reengineering of target gene to improve their expression for gene therapy.In this study,we calculated the codon usage bias in DEV UL55 gene and performed a comparative analysis of synonymous codon usage patterns in other 26 related viruses by EMBOSS CUSP program and Codon W on line.Moreover,statistical methods were used to investigate the correlations of these related parameters. By comparing synonymous codon usage patterns in different viruses,we observed that synonymous codon usage pattern in these virus is virus specific and phylogenetically conserved, with a strong bias towards the codons with A and T at the third codon position. Phylogenetic analysis based on codon usage pattern suggested that DEV UL55 gene was clustered with the avian Alphaherpesvirus but diverged to form a single branch. The Neutrality-plot suggested GC12 and GC3s adopt the same mutation pattern,meanwhile,the ENC-plot revealed that the genetic heterogeneity in UL55 genes is constrained by the G+C content, while translational selection and gene length have no or micro effect on the variations of synonymous codon usage in these virus genes.Furthermore, we compared the codon preferences of DEV with those of E. coli, yeast and Homo sapiens.Data suggested the eukaryotes system such as human system may be more suitable for the expression of DEV UL55 gene in vitro. If the yeast and E. coli expression system are wanted for the expression of DEV UL55 gene ,codon optimization of the DEV UL55 gene may be required.

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