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Van Leuven JT, Ederer MM, Burleigh K, Scott L, Hughes RA, Codrea V, Ellington AD, Wichman HA, Miller CR. ΦX174 Attenuation by Whole-Genome Codon Deoptimization. Genome Biol Evol 2020; 13:5921183. [PMID: 33045052 PMCID: PMC7881332 DOI: 10.1093/gbe/evaa214] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/07/2020] [Indexed: 12/11/2022] Open
Abstract
Natural selection acting on synonymous mutations in protein-coding genes influences genome composition and evolution. In viruses, introducing synonymous mutations in genes encoding structural proteins can drastically reduce viral growth, providing a means to generate potent, live-attenuated vaccine candidates. However, an improved understanding of what compositional features are under selection and how combinations of synonymous mutations affect viral growth is needed to predictably attenuate viruses and make them resistant to reversion. We systematically recoded all nonoverlapping genes of the bacteriophage ΦX174 with codons rarely used in its Escherichia coli host. The fitness of recombinant viruses decreases as additional deoptimizing mutations are made to the genome, although not always linearly, and not consistently across genes. Combining deoptimizing mutations may reduce viral fitness more or less than expected from the effect size of the constituent mutations and we point out difficulties in untangling correlated compositional features. We test our model by optimizing the same genes and find that the relationship between codon usage and fitness does not hold for optimization, suggesting that wild-type ΦX174 is at a fitness optimum. This work highlights the need to better understand how selection acts on patterns of synonymous codon usage across the genome and provides a convenient system to investigate the genetic determinants of virulence.
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Affiliation(s)
- James T Van Leuven
- Department of Biological Science, University of Idaho.,Institute for Modeling Collaboration and Innovation, University of Idaho
| | | | - Katelyn Burleigh
- Department of Biological Science, University of Idaho.,Present address: Seattle Children's Research Institute, Seattle, WA
| | - LuAnn Scott
- Department of Biological Science, University of Idaho
| | - Randall A Hughes
- Applied Research Laboratories, University of Texas, Austin.,Present address: Biotechnology Branch, CCDC US Army Research Laboratory, Adelphi, MD
| | - Vlad Codrea
- Institute for Cellular and Molecular Biology, University of Texas, Austin
| | - Andrew D Ellington
- Applied Research Laboratories, University of Texas, Austin.,Institute for Cellular and Molecular Biology, University of Texas, Austin
| | - Holly A Wichman
- Department of Biological Science, University of Idaho.,Institute for Modeling Collaboration and Innovation, University of Idaho
| | - Craig R Miller
- Department of Biological Science, University of Idaho.,Institute for Modeling Collaboration and Innovation, University of Idaho
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Jack BR, Boutz DR, Paff ML, Smith BL, Wilke CO. Transcript degradation and codon usage regulate gene expression in a lytic phage. Virus Evol 2019; 5:vez055. [PMID: 31908847 PMCID: PMC6938266 DOI: 10.1093/ve/vez055] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Many viral genomes are small, containing only single- or double-digit numbers of genes and relatively few regulatory elements. Yet viruses successfully execute complex regulatory programs as they take over their host cells. Here, we propose that some viruses regulate gene expression via a carefully balanced interplay between transcription, translation, and transcript degradation. As our model system, we employ bacteriophage T7, whose genome of approximately sixty genes is well annotated and for which there is a long history of computational models of gene regulation. We expand upon prior modeling work by implementing a stochastic gene expression simulator that tracks individual transcripts, polymerases, ribosomes, and ribonucleases participating in the transcription, translation, and transcript-degradation processes occurring during a T7 infection. By combining this detailed mechanistic modeling of a phage infection with high-throughput gene expression measurements of several strains of bacteriophage T7, evolved and engineered, we can show that both the dynamic interplay between transcription and transcript degradation, and between these two processes and translation, appear to be critical components of T7 gene regulation. Our results point to targeted degradation as a generic gene regulation strategy that may have evolved in many other viruses. Further, our results suggest that detailed mechanistic modeling may uncover the biological mechanisms at work in both evolved and engineered virus variants.
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Affiliation(s)
- Benjamin R Jack
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Daniel R Boutz
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Matthew L Paff
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Bartram L Smith
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
| | - Claus O Wilke
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
- Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
- Corresponding author: E-mail:
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