Literature DB >> 14640414

Patterns of epistasis in RNA viruses: a review of the evidence from vaccine design.

C L Burch1, P E Turner, K A Hanley.   

Abstract

Epistasis results when the fitness effects of a mutation change depending on the presence or absence of other mutations in the genome. The predictions of many influential evolutionary hypotheses are determined by the existence and form of epistasis. One rich source of data on the interactions among deleterious mutations that has gone untapped by evolutionary biologists is the literature on the design of live, attenuated vaccine viruses. Rational vaccine design depends upon the measurement of individual and combined effects of deleterious mutations. In the current study, we have reviewed data from 29 vaccine-oriented studies using 14 different RNA viruses. Our analyses indicate that (1) no consistent tendency towards a particular form of epistasis exists across RNA viruses and (2) significant interactions among groups of mutations within individual viruses occur but are not common. RNA viruses are significant pathogens of human disease, and are tractable model systems for evolutionary studies--we discuss the relevance of our findings in both contexts.

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Year:  2003        PMID: 14640414     DOI: 10.1046/j.1420-9101.2003.00632.x

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  16 in total

1.  Stickbreaking: a novel fitness landscape model that harbors epistasis and is consistent with commonly observed patterns of adaptive evolution.

Authors:  Anna C Nagel; Paul Joyce; Holly A Wichman; Craig R Miller
Journal:  Genetics       Date:  2011-11-17       Impact factor: 4.562

2.  Epistasis and the adaptability of an RNA virus.

Authors:  Rafael Sanjuán; José M Cuevas; Andrés Moya; Santiago F Elena
Journal:  Genetics       Date:  2005-05-06       Impact factor: 4.562

3.  The effect of host heterogeneity and parasite intragenomic interactions on parasite population structure.

Authors:  Ruth Hamilton; Mike Boots; Steve Paterson
Journal:  Proc Biol Sci       Date:  2005-08-22       Impact factor: 5.349

4.  Characterization of mycobacterial virulence genes through genetic interaction mapping.

Authors:  Swati M Joshi; Amit K Pandey; Nicole Capite; Sarah M Fortune; Eric J Rubin; Christopher M Sassetti
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-25       Impact factor: 11.205

5.  Epistasis correlates to genomic complexity.

Authors:  Rafael Sanjuán; Santiago F Elena
Journal:  Proc Natl Acad Sci U S A       Date:  2006-09-18       Impact factor: 11.205

6.  Complementation and epistasis in viral coinfection dynamics.

Authors:  Hong Gao; Marcus W Feldman
Journal:  Genetics       Date:  2009-03-06       Impact factor: 4.562

7.  The frequency of fitness peak shifts is increased at expanding range margins due to mutation surfing.

Authors:  Olivia J Burton; Justin M J Travis
Journal:  Genetics       Date:  2008-05-27       Impact factor: 4.562

8.  The evolution of genome compression and genomic novelty in RNA viruses.

Authors:  Robert Belshaw; Oliver G Pybus; Andrew Rambaut
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

9.  On the classification of epistatic interactions.

Authors:  Hong Gao; Julie M Granka; Marcus W Feldman
Journal:  Genetics       Date:  2009-12-21       Impact factor: 4.562

10.  Rapid adaptive amplification of preexisting variation in an RNA virus.

Authors:  Ranendra N Dutta; Igor M Rouzine; Sarah D Smith; Claus O Wilke; Isabel S Novella
Journal:  J Virol       Date:  2008-02-20       Impact factor: 5.103

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