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Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution

Senecavirus A (SVA) infection was recently confirmed in pigs in Brazil, United States of America and Canada. To better understand the molecular characteristics of isolated SVA genomes, we first reported genome-wide comprehensive analyses of codon usage and various factors that have contribute to the...

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Autores principales: Chen, Ye, Xu, Quanming, Tan, Chen, Li, Xinxin, Chi, Xiaojuan, Cai, Binxiang, Yu, Ziding, Ma, Yanmei, Chen, Ji-Long
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172466/
https://www.ncbi.nlm.nih.gov/pubmed/28943149
http://dx.doi.org/10.1016/j.micpath.2017.09.040
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author Chen, Ye
Xu, Quanming
Tan, Chen
Li, Xinxin
Chi, Xiaojuan
Cai, Binxiang
Yu, Ziding
Ma, Yanmei
Chen, Ji-Long
author_facet Chen, Ye
Xu, Quanming
Tan, Chen
Li, Xinxin
Chi, Xiaojuan
Cai, Binxiang
Yu, Ziding
Ma, Yanmei
Chen, Ji-Long
author_sort Chen, Ye
collection PubMed
description Senecavirus A (SVA) infection was recently confirmed in pigs in Brazil, United States of America and Canada. To better understand the molecular characteristics of isolated SVA genomes, we first reported genome-wide comprehensive analyses of codon usage and various factors that have contribute to the molecular evolution in SVA. The effective number of codons (ENC) ranged from 54.51 to 55.54 with an average of 54.87 ± 0.285, which reveals a relatively stable nucleotide composition. We found that codon usage bias of the SVA was low. Mutational pressure acted as an increasingly dominant factor for the evolution of the virus compared with the natural selection. Notably, codon usage bias was also affected by the geographic distribution and isolated time. The first systemic analysis on the codon usage bias of the SVA provides important information for the understanding of the evolution of the SVA and has fundamental and theoretical benefits.
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spelling pubmed-71724662020-04-22 Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution Chen, Ye Xu, Quanming Tan, Chen Li, Xinxin Chi, Xiaojuan Cai, Binxiang Yu, Ziding Ma, Yanmei Chen, Ji-Long Microb Pathog Article Senecavirus A (SVA) infection was recently confirmed in pigs in Brazil, United States of America and Canada. To better understand the molecular characteristics of isolated SVA genomes, we first reported genome-wide comprehensive analyses of codon usage and various factors that have contribute to the molecular evolution in SVA. The effective number of codons (ENC) ranged from 54.51 to 55.54 with an average of 54.87 ± 0.285, which reveals a relatively stable nucleotide composition. We found that codon usage bias of the SVA was low. Mutational pressure acted as an increasingly dominant factor for the evolution of the virus compared with the natural selection. Notably, codon usage bias was also affected by the geographic distribution and isolated time. The first systemic analysis on the codon usage bias of the SVA provides important information for the understanding of the evolution of the SVA and has fundamental and theoretical benefits. Published by Elsevier Ltd. 2017-11 2017-09-22 /pmc/articles/PMC7172466/ /pubmed/28943149 http://dx.doi.org/10.1016/j.micpath.2017.09.040 Text en © 2017 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Chen, Ye
Xu, Quanming
Tan, Chen
Li, Xinxin
Chi, Xiaojuan
Cai, Binxiang
Yu, Ziding
Ma, Yanmei
Chen, Ji-Long
Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title_full Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title_fullStr Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title_full_unstemmed Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title_short Genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on Senecavirus A evolution
title_sort genomic analysis of codon usage shows influence of mutation pressure, natural selection, and host features on senecavirus a evolution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7172466/
https://www.ncbi.nlm.nih.gov/pubmed/28943149
http://dx.doi.org/10.1016/j.micpath.2017.09.040
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