Translational adaptation of human viruses to the tissues they infect.
Cell Rep
; 34(11): 108872, 2021 03 16.
Article
in English
| MEDLINE | ID: covidwho-1135279
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Protein Biosynthesis
/
Viruses
/
Virus Diseases
Type of study:
Prognostic study
Topics:
Vaccines
Limits:
Humans
Language:
English
Journal:
Cell Rep
Year:
2021
Document Type:
Article
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