Significant differences in terms of codon usage bias between bacteriophage early and late genes: A comparative genomics analysis

Oriah Mioduser, Eli Goz, Tamir Tuller*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Background: Viruses undergo extensive evolutionary selection for efficient replication which effects, among others, their codon distribution. In the current study, we aimed at understanding the way evolution shapes the codon distribution in early vs. late viral genes in terms of their expression during different stages in the viral replication cycle. To this end we analyzed 14 bacteriophages and 11 human viruses with available information about the expression phases of their genes. Results: We demonstrated evidence of selection for distinct composition of synonymous codons in early and late viral genes in 50% of the analyzed bacteriophages. Among others, this phenomenon may be related to the time specific adaptation of the viral genes to the translation efficiency factors involved at different bacteriophage developmental stages. Specifically, we showed that the differences in codon composition in different temporal gene groups cannot be explained only by phylogenetic proximities between the analyzed bacteriophages, and can be partially explained by differences in the adaptation to the host tRNA pool, nucleotide bias, GC content and more. In contrast, no difference in temporal regulation of synonymous codon usage was observed in human viruses, possibly because of a stronger selection pressure due to a larger effective population size in bacteriophages and their bacterial hosts. Conclusions: The codon distribution in large fractions of bacteriophage genomes tend to be different in early and late genes. This phenomenon seems to be related to various aspects of the viral life cycle, and to various intracellular processes. We believe that the reported results should contribute towards better understanding of viral evolution and may promote the development of relevant procedures in synthetic virology.

Original languageEnglish
Article number866
JournalBMC Genomics
Volume18
Issue number1
DOIs
StatePublished - 13 Nov 2017

Funding

FundersFunder number
Edmond J. Safra Center for Ethics, Harvard University

    Keywords

    • Bacteriophage genome evolution
    • Coding regions
    • Codon usage bias (CUB)
    • Synthetic virology
    • Viral evolution
    • Viral life cycle

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