Translational adaptation of human viruses to the tissues they infect

Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, w...

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Published inCell reports (Cambridge) Vol. 34; no. 11; p. 108872
Main Authors Hernandez-Alias, Xavier, Benisty, Hannah, Schaefer, Martin H., Serrano, Luis
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 16.03.2021
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ISSN2211-1247
2211-1247
DOI10.1016/j.celrep.2021.108872

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Abstract Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines. [Display omitted] •Viruses with distinct tissue tropisms show differences in codon usage•Viral tropism defines a unique pattern of translational adaptation to human tissues•SARS-CoV-2 is especially favored to the upper respiratory tract and the alveoli•Early viral proteins are generally better adapted than late counterparts Viruses need to hijack the translational machinery of the host for the expression of their own proteins. Hernandez-Alias et al. show that viruses that infect different tissues use different synonymous codons, which can affect the efficiency in which they are translated across human tissues.
AbstractList Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines.Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines.
Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines. [Display omitted] •Viruses with distinct tissue tropisms show differences in codon usage•Viral tropism defines a unique pattern of translational adaptation to human tissues•SARS-CoV-2 is especially favored to the upper respiratory tract and the alveoli•Early viral proteins are generally better adapted than late counterparts Viruses need to hijack the translational machinery of the host for the expression of their own proteins. Hernandez-Alias et al. show that viruses that infect different tissues use different synonymous codons, which can affect the efficiency in which they are translated across human tissues.
Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines. Viruses need to hijack the translational machinery of the host for the expression of their own proteins. Hernandez-Alias et al. show that viruses that infect different tissues use different synonymous codons, which can affect the efficiency in which they are translated across human tissues.
Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools among tissues, it is unclear whether different viruses infecting different tissues have adapted their codon usage toward their tropism. Here, we collect the coding sequences of 502 human-infecting viruses and determine that tropism explains changes in codon usage. Using the tRNA abundances across 23 human tissues from The Cancer Genome Atlas (TCGA), we build an in silico model of translational efficiency that validates the correspondence of the viral codon usage with the translational machinery of their tropism. For instance, we detect that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is specifically adapted to the upper respiratory tract and alveoli. Furthermore, this correspondence is specifically defined in early viral proteins. The observed tissue-specific translational efficiency could be useful for the development of antiviral therapies and vaccines.
ArticleNumber 108872
Author Schaefer, Martin H.
Hernandez-Alias, Xavier
Serrano, Luis
Benisty, Hannah
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  givenname: Martin H.
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  surname: Schaefer
  fullname: Schaefer, Martin H.
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  organization: IEO European Institute of Oncology IRCCS, Department of Experimental Oncology, Via Adamello 16, Milan 20139, Italy
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  fullname: Serrano, Luis
  email: luis.serrano@crg.eu
  organization: Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
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Issue 11
Keywords tropism
translation
SARS-CoV-2
tissue
tRNA
codon usage
Language English
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Snippet Viruses need to hijack the translational machinery of the host cell for a productive infection to happen. However, given the dynamic landscape of tRNA pools...
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StartPage 108872
SubjectTerms Cell Line
Cell Line, Tumor
codon usage
Codon Usage - genetics
Genes, Neoplasm - genetics
HCT116 Cells
HEK293 Cells
HeLa Cells
Hep G2 Cells
Humans
Protein Biosynthesis - genetics
Pulmonary Alveoli - virology
Respiratory Tract Infections - virology
RNA, Transfer - genetics
SARS-CoV-2
tissue
translation
tRNA
tropism
Tropism - genetics
Viral Proteins - genetics
Virus Diseases - genetics
Virus Diseases - virology
Viruses - genetics
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Title Translational adaptation of human viruses to the tissues they infect
URI https://dx.doi.org/10.1016/j.celrep.2021.108872
https://www.ncbi.nlm.nih.gov/pubmed/33730572
https://www.proquest.com/docview/2502810695
https://pubmed.ncbi.nlm.nih.gov/PMC7962955
Volume 34
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