Literature DB >> 27581976

Effect of Host Species on Topography of the Fitness Landscape for a Plant RNA Virus.

Héctor Cervera1, Jasna Lalić1, Santiago F Elena2,3,4.   

Abstract

Adaptive fitness landscapes are a fundamental concept in evolutionary biology that relate the genotypes of individuals to their fitness. In the end, the evolutionary fate of evolving populations depends on the topography of the landscape, that is, the numbers of accessible mutational pathways and possible fitness peaks (i.e., adaptive solutions). For a long time, fitness landscapes were only theoretical constructions due to a lack of precise information on the mapping between genotypes and phenotypes. In recent years, however, efforts have been devoted to characterizing the properties of empirical fitness landscapes for individual proteins or for microbes adapting to artificial environments. In a previous study, we characterized the properties of the empirical fitness landscape defined by the first five mutations fixed during adaptation of tobacco etch potyvirus (TEV) to a new experimental host, Arabidopsis thaliana Here we evaluate the topography of this landscape in the ancestral host Nicotiana tabacum By comparing the topographies of the landscapes for the two hosts, we found that some features remained similar, such as the existence of fitness holes and the prevalence of epistasis, including cases of sign and reciprocal sign epistasis that created rugged, uncorrelated, and highly random topographies. However, we also observed significant differences in the fine-grained details between the two landscapes due to changes in the fitness and epistatic interactions of some genotypes. Our results support the idea that not only fitness tradeoffs between hosts but also topographical incongruences among fitness landscapes in alternative hosts may contribute to virus specialization. IMPORTANCE Despite its importance for understanding virus evolutionary dynamics, very little is known about the topography of virus adaptive fitness landscapes, and even less is known about the effects that different host species and environmental conditions may have on this topography. To bridge this gap, we evaluated the topography of a small fitness landscape formed by all genotypes that result from every possible combination of the first five mutations fixed during adaptation of TEV to the novel host A. thaliana To assess the effect that host species may have on this topography, we evaluated the fitness of every genotype in both the ancestral and novel hosts. We found that both landscapes share some macroscopic properties, such as the existence of holes and being highly rugged and uncorrelated, yet they differ in microscopic details due to changes in the magnitude and sign of fitness and epistatic effects.
Copyright © 2016, American Society for Microbiology. All Rights Reserved.

Entities:  

Year:  2016        PMID: 27581976      PMCID: PMC5105653          DOI: 10.1128/JVI.01243-16

Source DB:  PubMed          Journal:  J Virol        ISSN: 0022-538X            Impact factor:   5.103


  56 in total

1.  Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants.

Authors:  D C Boyes; A M Zayed; R Ascenzi; A J McCaskill; N E Hoffman; K R Davis; J Görlach
Journal:  Plant Cell       Date:  2001-07       Impact factor: 11.277

Review 2.  Viral mutation rates.

Authors:  Rafael Sanjuán; Miguel R Nebot; Nicola Chirico; Louis M Mansky; Robert Belshaw
Journal:  J Virol       Date:  2010-07-21       Impact factor: 5.103

3.  Reciprocal sign epistasis is a necessary condition for multi-peaked fitness landscapes.

Authors:  Frank J Poelwijk; Sorin Tănase-Nicola; Daniel J Kiviet; Sander J Tans
Journal:  J Theor Biol       Date:  2010-12-16       Impact factor: 2.691

4.  The pleiotropic cost of host-specialization in Tobacco etch potyvirus.

Authors:  Patricia Agudelo-Romero; Francisca de la Iglesia; Santiago F Elena
Journal:  Infect Genet Evol       Date:  2008-08-14       Impact factor: 3.342

5.  Epistasis between mutations is host-dependent for an RNA virus.

Authors:  Jasna Lalić; Santiago F Elena
Journal:  Biol Lett       Date:  2012-07-18       Impact factor: 3.703

Review 6.  Empirical fitness landscapes and the predictability of evolution.

Authors:  J Arjan G M de Visser; Joachim Krug
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

7.  Experimental evolution of an emerging plant virus in host genotypes that differ in their susceptibility to infection.

Authors:  Julia Hillung; José M Cuevas; Sergi Valverde; Santiago F Elena
Journal:  Evolution       Date:  2014-07-09       Impact factor: 3.694

8.  Host responses in life-history traits and tolerance to virus infection in Arabidopsis thaliana.

Authors:  Israel Pagán; Carlos Alonso-Blanco; Fernando García-Arenal
Journal:  PLoS Pathog       Date:  2008-08-15       Impact factor: 6.823

9.  Virus adaptation by manipulation of host's gene expression.

Authors:  Patricia Agudelo-Romero; Pablo Carbonell; Miguel A Perez-Amador; Santiago F Elena
Journal:  PLoS One       Date:  2008-06-11       Impact factor: 3.240

10.  Fisher's geometric model with a moving optimum.

Authors:  Sebastian Matuszewski; Joachim Hermisson; Michael Kopp
Journal:  Evolution       Date:  2014-07-10       Impact factor: 3.694

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  5 in total

1.  Strain-dependent mutational effects for Pepino mosaic virus in a natural host.

Authors:  Julia Minicka; Santiago F Elena; Natasza Borodynko-Filas; Błażej Rubiś; Beata Hasiów-Jaroszewska
Journal:  BMC Evol Biol       Date:  2017-03-06       Impact factor: 3.260

2.  The utility of fitness landscapes and big data for predicting evolution.

Authors:  J Arjan G M de Visser; Santiago F Elena; Inês Fragata; Sebastian Matuszewski
Journal:  Heredity (Edinb)       Date:  2018-08-20       Impact factor: 3.821

3.  Mutagenesis Scanning Uncovers Evolutionary Constraints on Tobacco Etch Potyvirus Membrane-Associated 6K2 Protein.

Authors:  Rubén González; Beilei Wu; Xianghua Li; Fernando Martínez; Santiago F Elena
Journal:  Genome Biol Evol       Date:  2019-04-01       Impact factor: 3.416

4.  Host-parasite coevolution promotes innovation through deformations in fitness landscapes.

Authors:  Animesh Gupta; Luis Zaman; Hannah M Strobel; Jenna Gallie; Alita R Burmeister; Benjamin Kerr; Einat S Tamar; Roy Kishony; Justin R Meyer
Journal:  Elife       Date:  2022-07-06       Impact factor: 8.713

5.  Differences in adaptive dynamics determine the success of virus variants that propagate together.

Authors:  María Arribas; Jacobo Aguirre; Susanna Manrubia; Ester Lázaro
Journal:  Virus Evol       Date:  2018-01-09
  5 in total

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