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Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses
Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847779/ https://www.ncbi.nlm.nih.gov/pubmed/27119730 http://dx.doi.org/10.1371/journal.pone.0154376 |
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author | Kumar, Naveen Bera, Bidhan Chandra Greenbaum, Benjamin D. Bhatia, Sandeep Sood, Richa Selvaraj, Pavulraj Anand, Taruna Tripathi, Bhupendra Nath Virmani, Nitin |
author_facet | Kumar, Naveen Bera, Bidhan Chandra Greenbaum, Benjamin D. Bhatia, Sandeep Sood, Richa Selvaraj, Pavulraj Anand, Taruna Tripathi, Bhupendra Nath Virmani, Nitin |
author_sort | Kumar, Naveen |
collection | PubMed |
description | Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an absolute dependence on the host cellular machinery for their replication. In the present study, we analyzed genome-wide codon usage patterns in 92 EIV strains, including both H3N8 and H7N7 subtypes by computing several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis disclosed bias of preferred synonymous codons towards A/U-ended codons. The overall codon usage bias in EIVs was slightly lower, and mainly affected by the nucleotide compositional constraints as inferred from the RSCU and effective number of codon (ENc) analysis. Our data suggested that codon usage pattern in EIVs is governed by the interplay of mutation pressure, natural selection from its hosts and undefined factors. The H7N7 subtype was found less fit to its host (horse) in comparison to H3N8, by possessing higher codon bias, lower mutation pressure and much less adaptation to tRNA pool of equine cells. To the best of our knowledge, this is the first report describing the codon usage analysis of the complete genomes of EIVs. The outcome of our study is likely to enhance our understanding of factors involved in viral adaptation, evolution, and fitness towards their hosts. |
format | Online Article Text |
id | pubmed-4847779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48477792016-05-07 Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses Kumar, Naveen Bera, Bidhan Chandra Greenbaum, Benjamin D. Bhatia, Sandeep Sood, Richa Selvaraj, Pavulraj Anand, Taruna Tripathi, Bhupendra Nath Virmani, Nitin PLoS One Research Article Equine influenza viruses (EIVs) of H3N8 subtype are culprits of severe acute respiratory infections in horses, and are still responsible for significant outbreaks worldwide. Adaptability of influenza viruses to a particular host is significantly influenced by their codon usage preference, due to an absolute dependence on the host cellular machinery for their replication. In the present study, we analyzed genome-wide codon usage patterns in 92 EIV strains, including both H3N8 and H7N7 subtypes by computing several codon usage indices and applying multivariate statistical methods. Relative synonymous codon usage (RSCU) analysis disclosed bias of preferred synonymous codons towards A/U-ended codons. The overall codon usage bias in EIVs was slightly lower, and mainly affected by the nucleotide compositional constraints as inferred from the RSCU and effective number of codon (ENc) analysis. Our data suggested that codon usage pattern in EIVs is governed by the interplay of mutation pressure, natural selection from its hosts and undefined factors. The H7N7 subtype was found less fit to its host (horse) in comparison to H3N8, by possessing higher codon bias, lower mutation pressure and much less adaptation to tRNA pool of equine cells. To the best of our knowledge, this is the first report describing the codon usage analysis of the complete genomes of EIVs. The outcome of our study is likely to enhance our understanding of factors involved in viral adaptation, evolution, and fitness towards their hosts. Public Library of Science 2016-04-27 /pmc/articles/PMC4847779/ /pubmed/27119730 http://dx.doi.org/10.1371/journal.pone.0154376 Text en © 2016 Kumar et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kumar, Naveen Bera, Bidhan Chandra Greenbaum, Benjamin D. Bhatia, Sandeep Sood, Richa Selvaraj, Pavulraj Anand, Taruna Tripathi, Bhupendra Nath Virmani, Nitin Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title | Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title_full | Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title_fullStr | Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title_full_unstemmed | Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title_short | Revelation of Influencing Factors in Overall Codon Usage Bias of Equine Influenza Viruses |
title_sort | revelation of influencing factors in overall codon usage bias of equine influenza viruses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847779/ https://www.ncbi.nlm.nih.gov/pubmed/27119730 http://dx.doi.org/10.1371/journal.pone.0154376 |
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