Literature DB >> 20145113

Fitness flux and ubiquity of adaptive evolution.

Ville Mustonen1, Michael Lässig.   

Abstract

Natural selection favors fitter variants in a population, but actual evolutionary processes may decrease fitness by mutations and genetic drift. How is the stochastic evolution of molecular biological systems shaped by natural selection? Here, we derive a theorem on the fitness flux in a population, defined as the selective effect of its genotype frequency changes. The fitness-flux theorem generalizes Fisher's fundamental theorem of natural selection to evolutionary processes including mutations, genetic drift, and time-dependent selection. It shows that a generic state of populations is adaptive evolution: there is a positive fitness flux resulting from a surplus of beneficial over deleterious changes. In particular, stationary nonequilibrium evolution processes are predicted to be adaptive. Under specific nonstationary conditions, notably during a decrease in population size, the average fitness flux can become negative. We show that these predictions are in accordance with experiments in bacteria and bacteriophages and with genomic data in Drosophila. Our analysis establishes fitness flux as a universal measure of adaptation in molecular evolution.

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Year:  2010        PMID: 20145113      PMCID: PMC2840135          DOI: 10.1073/pnas.0907953107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-13       Impact factor: 11.205

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4.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

5.  Entropy production along a stochastic trajectory and an integral fluctuation theorem.

Authors:  Udo Seifert
Journal:  Phys Rev Lett       Date:  2005-07-20       Impact factor: 9.161

6.  Adaptations to fluctuating selection in Drosophila.

Authors:  Ville Mustonen; Michael Lässig
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-07       Impact factor: 11.205

7.  Energy-dependent fitness: a quantitative model for the evolution of yeast transcription factor binding sites.

Authors:  Ville Mustonen; Justin Kinney; Curtis G Callan; Michael Lässig
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-22       Impact factor: 11.205

8.  Genome evolution and adaptation in a long-term experiment with Escherichia coli.

Authors:  Jeffrey E Barrick; Dong Su Yu; Sung Ho Yoon; Haeyoung Jeong; Tae Kwang Oh; Dominique Schneider; Richard E Lenski; Jihyun F Kim
Journal:  Nature       Date:  2009-10-18       Impact factor: 49.962

9.  Selection and covariance.

Authors:  G R Price
Journal:  Nature       Date:  1970-08-01       Impact factor: 49.962

10.  Adaptive protein evolution at the Adh locus in Drosophila.

Authors:  J H McDonald; M Kreitman
Journal:  Nature       Date:  1991-06-20       Impact factor: 49.962

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  45 in total

1.  Fitness in time-dependent environments includes a geometric phase contribution.

Authors:  Sorin Tanase-Nicola; Ilya Nemenman
Journal:  J R Soc Interface       Date:  2011-11-23       Impact factor: 4.118

2.  Real time forecasting of near-future evolution.

Authors:  Philip J Gerrish; Paul D Sniegowski
Journal:  J R Soc Interface       Date:  2012-04-18       Impact factor: 4.118

Review 3.  Changing preferences: deformation of single position amino acid fitness landscapes and evolution of proteins.

Authors:  Georgii A Bazykin
Journal:  Biol Lett       Date:  2015-10       Impact factor: 3.703

4.  Fluctuating fitness shapes the clone-size distribution of immune repertoires.

Authors:  Jonathan Desponds; Thierry Mora; Aleksandra M Walczak
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-28       Impact factor: 11.205

5.  Path statistics, memory, and coarse-graining of continuous-time random walks on networks.

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Journal:  J Chem Phys       Date:  2015-12-07       Impact factor: 3.488

6.  Rate of adaptation in sexuals and asexuals: a solvable model of the Fisher-Muller effect.

Authors:  Su-Chan Park; Joachim Krug
Journal:  Genetics       Date:  2013-08-26       Impact factor: 4.562

7.  Genetic draft and quasi-neutrality in large facultatively sexual populations.

Authors:  R A Neher; B I Shraiman
Journal:  Genetics       Date:  2011-05-30       Impact factor: 4.562

8.  The evolutionarily stable distribution of fitness effects.

Authors:  Daniel P Rice; Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2015-03-10       Impact factor: 4.562

Review 9.  Population genomics perspectives on convergent adaptation.

Authors:  Kristin M Lee; Graham Coop
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-03       Impact factor: 6.237

10.  Diverse forms of selection in evolution and computer science.

Authors:  Nicholas H Barton; Sebastian Novak; Tiago Paixão
Journal:  Proc Natl Acad Sci U S A       Date:  2014-07-09       Impact factor: 11.205

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