Literature DB >> 19737750

The population genetics of adaptation: multiple substitutions on a smooth fitness landscape.

Robert L Unckless1, H Allen Orr.   

Abstract

Much recent work in the theoretical study of adaptation has focused on the so-called strong selection-weak mutation (SSWM) limit, wherein adaptation is due to new mutations of definite selective advantage. This work, in turn, has focused on the first step (substitution) during adaptive evolution. Here we extend this theory to allow multiple steps during adaptation. We find analytic solutions to the probability that adaptation follows a certain path during evolution as well as the probability that adaptation arrives at a given genotype regardless of the path taken. We also consider the probability of parallel adaptation and the proportion of the total increase in fitness caused by the first substitution. Our key assumption is that there is no epistasis among beneficial mutations.

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Year:  2009        PMID: 19737750      PMCID: PMC2778961          DOI: 10.1534/genetics.109.106757

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  14 in total

1.  Haldane's sieve and adaptation from the standing genetic variation.

Authors:  H A Orr; A J Betancourt
Journal:  Genetics       Date:  2001-02       Impact factor: 4.562

2.  Profiles of adaptation in two similar viruses.

Authors:  K K Holder; J J Bull
Journal:  Genetics       Date:  2001-12       Impact factor: 4.562

3.  The population genetics of adaptation: the adaptation of DNA sequences.

Authors:  H Allen Orr
Journal:  Evolution       Date:  2002-07       Impact factor: 3.694

4.  An empirical test of the mutational landscape model of adaptation using a single-stranded DNA virus.

Authors:  Darin R Rokyta; Paul Joyce; S Brian Caudle; Holly A Wichman
Journal:  Nat Genet       Date:  2005-03-20       Impact factor: 38.330

Review 5.  The genetic theory of adaptation: a brief history.

Authors:  H Allen Orr
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

6.  Adaptation in sexuals vs. asexuals: clonal interference and the Fisher-Muller model.

Authors:  Yuseob Kim; H Allen Orr
Journal:  Genetics       Date:  2005-07-14       Impact factor: 4.562

7.  Darwinian evolution can follow only very few mutational paths to fitter proteins.

Authors:  Daniel M Weinreich; Nigel F Delaney; Mark A Depristo; Daniel L Hartl
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

8.  Genomewide patterns of substitution in adaptively evolving populations of the RNA bacteriophage MS2.

Authors:  Andrea J Betancourt
Journal:  Genetics       Date:  2009-02-02       Impact factor: 4.562

9.  A general extreme value theory model for the adaptation of DNA sequences under strong selection and weak mutation.

Authors:  Paul Joyce; Darin R Rokyta; Craig J Beisel; H Allen Orr
Journal:  Genetics       Date:  2008-09-14       Impact factor: 4.562

10.  MOLECULAR EVOLUTION OVER THE MUTATIONAL LANDSCAPE.

Authors:  John H Gillespie
Journal:  Evolution       Date:  1984-09       Impact factor: 3.694

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  8 in total

1.  Impact of genetic architecture on the relative rates of X versus autosomal adaptive substitution.

Authors:  Tim Connallon; Nadia D Singh; Andrew G Clark
Journal:  Mol Biol Evol       Date:  2012-02-02       Impact factor: 16.240

2.  Residues within the Foot-and-Mouth Disease Virus 3Dpol Nuclear Localization Signal Affect Polymerase Fidelity.

Authors:  Anna Kloc; Devendra K Rai; Douglas P Gladue; Elizabeth Schafer; Mary Kenney; Elizabeth Rieder
Journal:  J Virol       Date:  2020-08-17       Impact factor: 5.103

3.  Rational design of antibiotic treatment plans: a treatment strategy for managing evolution and reversing resistance.

Authors:  Portia M Mira; Kristina Crona; Devin Greene; Juan C Meza; Bernd Sturmfels; Miriam Barlow
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

4.  Evolutionary algorithms and synthetic biology for directed evolution: commentary on "on the mapping of genotype to phenotype in evolutionary algorithms" by Peter A. Whigham, Grant Dick, and James Maclaurin.

Authors:  Douglas B Kell
Journal:  Genet Program Evolvable Mach       Date:  2017-03-29       Impact factor: 1.714

5.  Network Analysis of Protein Adaptation: Modeling the Functional Impact of Multiple Mutations.

Authors:  Violeta Beleva Guthrie; David L Masica; Andrew Fraser; Joseph Federico; Yunfan Fan; Manel Camps; Rachel Karchin
Journal:  Mol Biol Evol       Date:  2018-06-01       Impact factor: 16.240

Review 6.  Intelligent host engineering for metabolic flux optimisation in biotechnology.

Authors:  Lachlan J Munro; Douglas B Kell
Journal:  Biochem J       Date:  2021-10-29       Impact factor: 3.857

7.  De novo ORFs in Drosophila are important to organismal fitness and evolved rapidly from previously non-coding sequences.

Authors:  Josephine A Reinhardt; Betty M Wanjiru; Alicia T Brant; Perot Saelao; David J Begun; Corbin D Jones
Journal:  PLoS Genet       Date:  2013-10-17       Impact factor: 5.917

Review 8.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Authors:  Andrew Currin; Neil Swainston; Philip J Day; Douglas B Kell
Journal:  Chem Soc Rev       Date:  2015-03-07       Impact factor: 54.564

  8 in total

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