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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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 |
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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 |