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Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses

Arboviruses (arthropod borne viruses) have life cycles that include both vertebrate and invertebrate hosts with substantial differences in vector and host specificity between different viruses. Most arboviruses utilize RNA for their genetic material and are completely dependent on host tRNAs for the...

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Autores principales: Velazquez-Salinas, Lauro, Zarate, Selene, Eschbaumer, Michael, Pereira Lobo, Francisco, Gladue, Douglas P., Arzt, Jonathan, Novella, Isabel S., Rodriguez, Luis L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959722/
https://www.ncbi.nlm.nih.gov/pubmed/27455096
http://dx.doi.org/10.1371/journal.pone.0159943
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author Velazquez-Salinas, Lauro
Zarate, Selene
Eschbaumer, Michael
Pereira Lobo, Francisco
Gladue, Douglas P.
Arzt, Jonathan
Novella, Isabel S.
Rodriguez, Luis L.
author_facet Velazquez-Salinas, Lauro
Zarate, Selene
Eschbaumer, Michael
Pereira Lobo, Francisco
Gladue, Douglas P.
Arzt, Jonathan
Novella, Isabel S.
Rodriguez, Luis L.
author_sort Velazquez-Salinas, Lauro
collection PubMed
description Arboviruses (arthropod borne viruses) have life cycles that include both vertebrate and invertebrate hosts with substantial differences in vector and host specificity between different viruses. Most arboviruses utilize RNA for their genetic material and are completely dependent on host tRNAs for their translation, suggesting that virus codon usage could be a target for selection. In the current study we analyzed the relative synonymous codon usage (RSCU) patterns of 26 arboviruses together with 25 vectors and hosts, including 8 vertebrates and 17 invertebrates. We used hierarchical cluster analysis (HCA) and principal component analysis (PCA) to identify trends in codon usage. HCA demonstrated that the RSCU of arboviruses reflects that of their natural hosts, but not that of dead-end hosts. Of the two major components identified by PCA, the first accounted for 62.1% of the total variance, and among the 59 codons analyzed in this study, the leucine codon CTG had the highest correlation with the first principal component, however isoleucine had the highest correlation during amino acid analysis. Nucleotide and dinucleotide composition were the variables that explained most of the total codon usage variance. The results suggest that the main factors driving the evolution of codon usage in arboviruses is based on the nucleotide and dinucleotide composition present in the host. Comparing codon usage of arboviruses and potential vector hosts can help identifying potential vectors for emerging arboviruses.
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spelling pubmed-49597222016-08-08 Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses Velazquez-Salinas, Lauro Zarate, Selene Eschbaumer, Michael Pereira Lobo, Francisco Gladue, Douglas P. Arzt, Jonathan Novella, Isabel S. Rodriguez, Luis L. PLoS One Research Article Arboviruses (arthropod borne viruses) have life cycles that include both vertebrate and invertebrate hosts with substantial differences in vector and host specificity between different viruses. Most arboviruses utilize RNA for their genetic material and are completely dependent on host tRNAs for their translation, suggesting that virus codon usage could be a target for selection. In the current study we analyzed the relative synonymous codon usage (RSCU) patterns of 26 arboviruses together with 25 vectors and hosts, including 8 vertebrates and 17 invertebrates. We used hierarchical cluster analysis (HCA) and principal component analysis (PCA) to identify trends in codon usage. HCA demonstrated that the RSCU of arboviruses reflects that of their natural hosts, but not that of dead-end hosts. Of the two major components identified by PCA, the first accounted for 62.1% of the total variance, and among the 59 codons analyzed in this study, the leucine codon CTG had the highest correlation with the first principal component, however isoleucine had the highest correlation during amino acid analysis. Nucleotide and dinucleotide composition were the variables that explained most of the total codon usage variance. The results suggest that the main factors driving the evolution of codon usage in arboviruses is based on the nucleotide and dinucleotide composition present in the host. Comparing codon usage of arboviruses and potential vector hosts can help identifying potential vectors for emerging arboviruses. Public Library of Science 2016-07-25 /pmc/articles/PMC4959722/ /pubmed/27455096 http://dx.doi.org/10.1371/journal.pone.0159943 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Velazquez-Salinas, Lauro
Zarate, Selene
Eschbaumer, Michael
Pereira Lobo, Francisco
Gladue, Douglas P.
Arzt, Jonathan
Novella, Isabel S.
Rodriguez, Luis L.
Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title_full Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title_fullStr Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title_full_unstemmed Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title_short Selective Factors Associated with the Evolution of Codon Usage in Natural Populations of Arboviruses
title_sort selective factors associated with the evolution of codon usage in natural populations of arboviruses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4959722/
https://www.ncbi.nlm.nih.gov/pubmed/27455096
http://dx.doi.org/10.1371/journal.pone.0159943
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