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Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues

BACKGROUND: Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution. However, very few of those studies focused on the effect of genome composition and the c...

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Autores principales: Franzo, Giovanni, Tucciarone, Claudia Maria, Legnardi, Matteo, Cecchinato, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025453/
https://www.ncbi.nlm.nih.gov/pubmed/33827429
http://dx.doi.org/10.1186/s12864-021-07559-5
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author Franzo, Giovanni
Tucciarone, Claudia Maria
Legnardi, Matteo
Cecchinato, Mattia
author_facet Franzo, Giovanni
Tucciarone, Claudia Maria
Legnardi, Matteo
Cecchinato, Mattia
author_sort Franzo, Giovanni
collection PubMed
description BACKGROUND: Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution. However, very few of those studies focused on the effect of genome composition and the codon bias of different IBV proteins, despite the remarkable increase in available complete genomes. In the present study, all IBV complete genomes were downloaded (n = 383), and several statistics representative of genome composition and codon bias were calculated for each protein-coding sequence, including but not limited to, the nucleotide odds ratio, relative synonymous codon usage and effective number of codons. Additionally, viral codon usage was compared to host codon usage based on a collection of highly expressed genes in IBV target and nontarget tissues. RESULTS: The results obtained demonstrated a significant difference among structural, non-structural and accessory proteins, especially regarding dinucleotide composition, which appears under strong selective forces. In particular, some dinucleotide pairs, such as CpG, a probable target of the host innate immune response, are underrepresented in genes coding for pp1a, pp1ab, S and N. Although genome composition and dinucleotide bias appear to affect codon usage, additional selective forces may act directly on codon bias. Variability in relative synonymous codon usage and effective number of codons was found for different proteins, with structural proteins and polyproteins being more adapted to the codon bias of host target tissues. In contrast, accessory proteins had a more biased codon usage (i.e., lower number of preferred codons), which might contribute to the regulation of their expression level and timing throughout the cell cycle. CONCLUSIONS: The present study confirms the existence of selective forces acting directly on the genome and not only indirectly through phenotype selection. This evidence might help understanding IBV biology and in developing attenuated strains without affecting the protein phenotype and therefore immunogenicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07559-5.
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spelling pubmed-80254532021-04-07 Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues Franzo, Giovanni Tucciarone, Claudia Maria Legnardi, Matteo Cecchinato, Mattia BMC Genomics Research Article BACKGROUND: Infectious bronchitis virus (IBV) is one of the most relevant viruses affecting the poultry industry, and several studies have investigated the factors involved in its biological cycle and evolution. However, very few of those studies focused on the effect of genome composition and the codon bias of different IBV proteins, despite the remarkable increase in available complete genomes. In the present study, all IBV complete genomes were downloaded (n = 383), and several statistics representative of genome composition and codon bias were calculated for each protein-coding sequence, including but not limited to, the nucleotide odds ratio, relative synonymous codon usage and effective number of codons. Additionally, viral codon usage was compared to host codon usage based on a collection of highly expressed genes in IBV target and nontarget tissues. RESULTS: The results obtained demonstrated a significant difference among structural, non-structural and accessory proteins, especially regarding dinucleotide composition, which appears under strong selective forces. In particular, some dinucleotide pairs, such as CpG, a probable target of the host innate immune response, are underrepresented in genes coding for pp1a, pp1ab, S and N. Although genome composition and dinucleotide bias appear to affect codon usage, additional selective forces may act directly on codon bias. Variability in relative synonymous codon usage and effective number of codons was found for different proteins, with structural proteins and polyproteins being more adapted to the codon bias of host target tissues. In contrast, accessory proteins had a more biased codon usage (i.e., lower number of preferred codons), which might contribute to the regulation of their expression level and timing throughout the cell cycle. CONCLUSIONS: The present study confirms the existence of selective forces acting directly on the genome and not only indirectly through phenotype selection. This evidence might help understanding IBV biology and in developing attenuated strains without affecting the protein phenotype and therefore immunogenicity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07559-5. BioMed Central 2021-04-07 /pmc/articles/PMC8025453/ /pubmed/33827429 http://dx.doi.org/10.1186/s12864-021-07559-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Franzo, Giovanni
Tucciarone, Claudia Maria
Legnardi, Matteo
Cecchinato, Mattia
Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title_full Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title_fullStr Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title_full_unstemmed Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title_short Effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
title_sort effect of genome composition and codon bias on infectious bronchitis virus evolution and adaptation to target tissues
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025453/
https://www.ncbi.nlm.nih.gov/pubmed/33827429
http://dx.doi.org/10.1186/s12864-021-07559-5
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