Literature DB >> 23730772

Intergenerational phenotypic mixing in viral evolution.

Claude Loverdo1, James O Lloyd-Smith.   

Abstract

Viral particles (virions) are made of genomic material packaged with proteins, drawn from the pool of proteins in the parent cell. It is well known that when virion concentrations are high, cells can be coinfected with multiple viral strains that can complement each other. Viral genomes can then interact with proteins derived from different strains, in a phenomenon known as phenotypic mixing. But phenotypic mixing is actually far more common: viruses mutate very often, and each time a mutation occurs, the parent cell contains different types of viral genomes. Due to phenotypic mixing, changes in viral phenotypes can be shifted by a generation from the mutations that cause them. In the regime of evolutionary invasion and escape, when mutations are crucial for the virus to survive, this timing can have a large influence on the probability of emergence of an adapted strain. Modeling the dynamics of viral evolution in these contexts thus requires attention to the mutational mechanism and the determinants of fitness.
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

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Year:  2013        PMID: 23730772      PMCID: PMC3676872          DOI: 10.1111/evo.12048

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  34 in total

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Authors:  J C de la Torre; E Wimmer; J J Holland
Journal:  J Virol       Date:  1990-02       Impact factor: 5.103

5.  Influence of viral replication mechanisms on within-host evolutionary dynamics.

Authors:  Claude Loverdo; Miran Park; Sebastian J Schreiber; James O Lloyd-Smith
Journal:  Evolution       Date:  2012-06-14       Impact factor: 3.694

Review 6.  Viral pseudotypes and phenotypic mixing.

Authors:  J Závada
Journal:  Arch Virol       Date:  1976       Impact factor: 2.574

7.  The rate at which asexual populations cross fitness valleys.

Authors:  Daniel B Weissman; Michael M Desai; Daniel S Fisher; Marcus W Feldman
Journal:  Theor Popul Biol       Date:  2009-03-13       Impact factor: 1.570

8.  Spontaneous mutant frequency and mutation spectrum for gene A of phiX174 grown in E. coli.

Authors:  Jessica L Raney; Robert R Delongchamp; Carrie R Valentine
Journal:  Environ Mol Mutagen       Date:  2004       Impact factor: 3.216

9.  Stochastic theory of early viral infection: continuous versus burst production of virions.

Authors:  John E Pearson; Paul Krapivsky; Alan S Perelson
Journal:  PLoS Comput Biol       Date:  2011-02-03       Impact factor: 4.475

10.  The role of evolution in the emergence of infectious diseases.

Authors:  Rustom Antia; Roland R Regoes; Jacob C Koella; Carl T Bergstrom
Journal:  Nature       Date:  2003-12-11       Impact factor: 49.962

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  4 in total

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2.  Modelling the emergence of influenza drug resistance: The roles of surface proteins, the immune response and antiviral mechanisms.

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3.  Suppression of Drug Resistance in Dengue Virus.

Authors:  Roberto Mateo; Claude M Nagamine; Karla Kirkegaard
Journal:  MBio       Date:  2015-12-15       Impact factor: 7.867

4.  Beneficial coinfection can promote within-host viral diversity.

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Journal:  Virus Evol       Date:  2018-10-01
  4 in total

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