Literature DB >> 23333335

A detailed comparative analysis on the overall codon usage patterns in West Nile virus.

Gonzalo Moratorio1, Andrés Iriarte, Pilar Moreno, Héctor Musto, Juan Cristina.   

Abstract

West Nile virus (WNV) is a member of the family Flaviviridae and its genome consists of an 11-kb single-stranded, positive-sense RNA. WNV is maintained in an enzootic cycle between mosquitoes and birds, but can also infect and cause disease in horses and humans, which serve as incidental dead-end hosts. Understanding the extent and causes of biases in codon usage is essential to the comprehension of viral evolution. In this study, we performed a comprehensive analysis of 449 WNV strains, for which complete genome sequences are available. Effective number of codons (ENC) indicates that the overall codon usage among WNV strains is only slightly biased. Codon adaptation index (CAI) values found for WNV genes are different from the CAI values found for human genes. The relative synonymous codon usage among WNV strains isolated from birds, equines, humans and mosquitoes are roughly similar and are influenced by the relative dinucleotide frequencies. Taking together, the results of this work suggest that WNV genomic biases are the result of the evolution of genome composition, the need to escape the antiviral cell responses and a dynamic process of mutation and selection to re-adapt its codon usage to different environments.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23333335     DOI: 10.1016/j.meegid.2013.01.001

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  26 in total

1.  Dinucleotide Composition in Animal RNA Viruses Is Shaped More by Virus Family than by Host Species.

Authors:  Francesca Di Giallonardo; Timothy E Schlub; Mang Shi; Edward C Holmes
Journal:  J Virol       Date:  2017-03-29       Impact factor: 5.103

2.  What We Know and What We Should Know About Codon Usage.

Authors:  Héctor Musto
Journal:  J Mol Evol       Date:  2016-05-06       Impact factor: 2.395

Review 3.  An overview of dinucleotide and codon usage in all viruses.

Authors:  Diego Simón; Juan Cristina; Héctor Musto
Journal:  Arch Virol       Date:  2022-04-25       Impact factor: 2.574

4.  Comprehensive analysis of the overall codon usage patterns in equine infectious anemia virus.

Authors:  Xin Yin; Yuezhi Lin; Weigang Cai; Ping Wei; Xiaojun Wang
Journal:  Virol J       Date:  2013-12-20       Impact factor: 4.099

5.  Nucleotide composition of the Zika virus RNA genome and its codon usage.

Authors:  Formijn van Hemert; Ben Berkhout
Journal:  Virol J       Date:  2016-06-08       Impact factor: 4.099

6.  Archival Isolates Confirm a Single Topotype of West Nile Virus in Australia.

Authors:  Bixing Huang; Natalie A Prow; Andrew F van den Hurk; Richard J N Allcock; Peter R Moore; Stephen L Doggett; David Warrilow
Journal:  PLoS Negl Trop Dis       Date:  2016-12-01

7.  Evolution of codon usage in Zika virus genomes is host and vector specific.

Authors:  Azeem Mehmood Butt; Izza Nasrullah; Raheel Qamar; Yigang Tong
Journal:  Emerg Microbes Infect       Date:  2016-10-12       Impact factor: 7.163

8.  Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Marburg virus evolution.

Authors:  Izza Nasrullah; Azeem M Butt; Shifa Tahir; Muhammad Idrees; Yigang Tong
Journal:  BMC Evol Biol       Date:  2015-08-26       Impact factor: 3.260

9.  Genome-wide analysis of codon usage and influencing factors in chikungunya viruses.

Authors:  Azeem Mehmood Butt; Izza Nasrullah; Yigang Tong
Journal:  PLoS One       Date:  2014-03-04       Impact factor: 3.240

10.  Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses.

Authors:  Naveen Kumar; Bidhan Chandra Bera; Benjamin D Greenbaum; Sandeep Bhatia; Richa Sood; Pavulraj Selvaraj; Taruna Anand; Bhupendra Nath Tripathi; Nitin Virmani
Journal:  PLoS One       Date:  2016-04-27       Impact factor: 3.240

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