Cargando…

Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach

Rotavirus remains a major cause of diarrhea in infants and young children worldwide. The permanent emergence of new genotypes puts the potential effectiveness of vaccines under serious question. The distribution of unusual genotypes subject to viral fitness is influenced by interactions among viral...

Descripción completa

Detalles Bibliográficos
Autores principales: Abid, Nabil, Chillemi, Giovanni, Salemi, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016848/
https://www.ncbi.nlm.nih.gov/pubmed/31878331
http://dx.doi.org/10.3390/genes11010028
_version_ 1783497069926809600
author Abid, Nabil
Chillemi, Giovanni
Salemi, Marco
author_facet Abid, Nabil
Chillemi, Giovanni
Salemi, Marco
author_sort Abid, Nabil
collection PubMed
description Rotavirus remains a major cause of diarrhea in infants and young children worldwide. The permanent emergence of new genotypes puts the potential effectiveness of vaccines under serious question. The distribution of unusual genotypes subject to viral fitness is influenced by interactions among viral proteins. The present work aimed at analyzing the genetic constellation and the coevolution of rotavirus coding genes for the available rotavirus genotypes. Seventy-two full genome sequences of different genetic constellations were analyzed using a genetic algorithm. The results revealed an extensive genome-wide covariance network among the 12 viral proteins. Altogether, the emergence of new genotypes represents a challenge to the outcome and success of vaccination and the coevolutionary analysis of rotavirus proteins may boost efforts to better understand the interaction networks of proteins during viral replication/transcription.
format Online
Article
Text
id pubmed-7016848
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-70168482020-02-28 Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach Abid, Nabil Chillemi, Giovanni Salemi, Marco Genes (Basel) Article Rotavirus remains a major cause of diarrhea in infants and young children worldwide. The permanent emergence of new genotypes puts the potential effectiveness of vaccines under serious question. The distribution of unusual genotypes subject to viral fitness is influenced by interactions among viral proteins. The present work aimed at analyzing the genetic constellation and the coevolution of rotavirus coding genes for the available rotavirus genotypes. Seventy-two full genome sequences of different genetic constellations were analyzed using a genetic algorithm. The results revealed an extensive genome-wide covariance network among the 12 viral proteins. Altogether, the emergence of new genotypes represents a challenge to the outcome and success of vaccination and the coevolutionary analysis of rotavirus proteins may boost efforts to better understand the interaction networks of proteins during viral replication/transcription. MDPI 2019-12-24 /pmc/articles/PMC7016848/ /pubmed/31878331 http://dx.doi.org/10.3390/genes11010028 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Abid, Nabil
Chillemi, Giovanni
Salemi, Marco
Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title_full Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title_fullStr Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title_full_unstemmed Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title_short Coding-Gene Coevolution Analysis of Rotavirus Proteins: A Bioinformatics and Statistical Approach
title_sort coding-gene coevolution analysis of rotavirus proteins: a bioinformatics and statistical approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016848/
https://www.ncbi.nlm.nih.gov/pubmed/31878331
http://dx.doi.org/10.3390/genes11010028
work_keys_str_mv AT abidnabil codinggenecoevolutionanalysisofrotavirusproteinsabioinformaticsandstatisticalapproach
AT chillemigiovanni codinggenecoevolutionanalysisofrotavirusproteinsabioinformaticsandstatisticalapproach
AT salemimarco codinggenecoevolutionanalysisofrotavirusproteinsabioinformaticsandstatisticalapproach