Literature DB >> 25445348

Genome-wide analysis of codon usage bias in Ebolavirus.

Juan Cristina1, Pilar Moreno2, Gonzalo Moratorio3, Héctor Musto4.   

Abstract

Ebola virus (EBOV) is a member of the family Filoviridae and its genome consists of a 19-kb, single-stranded, negative sense RNA. EBOV is subdivided into five distinct species with different pathogenicities, being Zaire ebolavirus (ZEBOV) the most lethal species. The interplay of codon usage among viruses and their hosts is expected to affect overall viral survival, fitness, evasion from host's immune system and evolution. In the present study, we performed comprehensive analyses of codon usage and composition of ZEBOV. Effective number of codons (ENC) indicates that the overall codon usage among ZEBOV strains is slightly biased. Different codon preferences in ZEBOV genes in relation to codon usage of human genes were found. Highly preferred codons are all A-ending triplets, which strongly suggests that mutational bias is a main force shaping codon usage in ZEBOV. Dinucleotide composition also plays a role in the overall pattern of ZEBOV codon usage. ZEBOV does not seem to use the most abundant tRNAs present in the human cells for most of their preferred codons.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Codon bias; Codon usage; Ebola; Evolution

Mesh:

Substances:

Year:  2014        PMID: 25445348     DOI: 10.1016/j.virusres.2014.11.005

Source DB:  PubMed          Journal:  Virus Res        ISSN: 0168-1702            Impact factor:   3.303


  27 in total

1.  Constraints of Viral RNA Synthesis on Codon Usage of Negative-Strand RNA Virus.

Authors:  Ryan H Gumpper; Weike Li; Ming Luo
Journal:  J Virol       Date:  2019-02-19       Impact factor: 5.103

Review 2.  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

Review 3.  Molecular adaptations during viral epidemics.

Authors:  Nash D Rochman; Yuri I Wolf; Eugene V Koonin
Journal:  EMBO Rep       Date:  2022-07-18       Impact factor: 9.071

4.  Codon usage of host-specific P genotypes (VP4) in group A rotavirus.

Authors:  Han Wu; Bingzhe Li; Ziping Miao; Linjie Hu; Lu Zhou; Yihan Lu
Journal:  BMC Genomics       Date:  2022-07-16       Impact factor: 4.547

5.  Molecular characterization of two highly divergent Iranian johnsongrass mosaic virus isolates from Zea mays.

Authors:  Zohreh Moradi; Mohsen Mehrvar
Journal:  Virusdisease       Date:  2021-03-07

6.  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

7.  Genetic and codon usage bias analyses of polymerase genes of equine influenza virus and its relation to evolution.

Authors:  Bidhan Ch Bera; Nitin Virmani; Naveen Kumar; Taruna Anand; S Pavulraj; Adam Rash; Debra Elton; Nicola Rash; Sandeep Bhatia; Richa Sood; Raj Kumar Singh; Bhupendra Nath Tripathi
Journal:  BMC Genomics       Date:  2017-08-23       Impact factor: 3.969

8.  Analysis of the codon usage pattern in Middle East Respiratory Syndrome Coronavirus.

Authors:  Ye Chen; Quanming Xu; Xiaomin Yuan; Xinxin Li; Ting Zhu; Yanmei Ma; Ji-Long Chen
Journal:  Oncotarget       Date:  2017-11-27

9.  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

10.  Genome-Wide Analysis of the Synonymous Codon Usage Patterns in Riemerella anatipestifer.

Authors:  Jibin Liu; Dekang Zhu; Guangpeng Ma; Mafeng Liu; Mingshu Wang; Renyong Jia; Shun Chen; Kunfeng Sun; Qiao Yang; Ying Wu; Xiaoyue Chen; Anchun Cheng
Journal:  Int J Mol Sci       Date:  2016-08-10       Impact factor: 5.923

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