Literature DB >> 25195318

Modeling evolution using the probability of fixation: history and implications.

David M McCandlish, Arlin Stoltzfus.   

Abstract

Many models of evolution calculate the rate of evolution by multiplying the rate at which new mutations originate within a population by a probability of fixation. Here we review the historical origins, contemporary applications, and evolutionary implications of these "origin-fixation" models, which are widely used in evolutionary genetics, molecular evolution, and phylogenetics. Origin-fixation models were first introduced in 1969, in association with an emerging view of "molecular" evolution. Early origin-fixation models were used to calculate an instantaneous rate of evolution across a large number of independently evolving loci; in the 1980s and 1990s, a second wave of origin-fixation models emerged to address a sequence of fixation events at a single locus. Although origin fixation models have been applied to a broad array of problems in contemporary evolutionary research, their rise in popularity has not been accompanied by an increased appreciation of their restrictive assumptions or their distinctive implications. We argue that origin-fixation models constitute a coherent theory of mutation-limited evolution that contrasts sharply with theories of evolution that rely on the presence of standing genetic variation. A major unsolved question in evolutionary biology is the degree to which these models provide an accurate approximation of evolution in natural populations.

Mesh:

Year:  2014        PMID: 25195318     DOI: 10.1086/677571

Source DB:  PubMed          Journal:  Q Rev Biol        ISSN: 0033-5770            Impact factor:   4.875


  51 in total

1.  Contingency and entrenchment in protein evolution under purifying selection.

Authors:  Premal Shah; David M McCandlish; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-08       Impact factor: 11.205

2.  The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function.

Authors:  Jay F Storz; Chandrasekhar Natarajan; Anthony V Signore; Christopher C Witt; David M McCandlish; Arlin Stoltzfus
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-03       Impact factor: 6.237

3.  Moran-type bounds for the fixation probability in a frequency-dependent Wright-Fisher model.

Authors:  Timothy Chumley; Ozgur Aydogmus; Anastasios Matzavinos; Alexander Roitershtein
Journal:  J Math Biol       Date:  2017-05-16       Impact factor: 2.259

4.  The Red Queen and King in finite populations.

Authors:  Carl Veller; Laura K Hayward; Christian Hilbe; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-19       Impact factor: 11.205

5.  The Relative Contributions of the X Chromosome and Autosomes to Local Adaptation.

Authors:  Clémentine Lasne; Carla M Sgrò; Tim Connallon
Journal:  Genetics       Date:  2017-01-06       Impact factor: 4.562

6.  Drift Barriers to Quality Control When Genes Are Expressed at Different Levels.

Authors:  Kun Xiong; Jay P McEntee; David J Porfirio; Joanna Masel
Journal:  Genetics       Date:  2016-11-11       Impact factor: 4.562

7.  Accelerated simulation of evolutionary trajectories in origin-fixation models.

Authors:  Ashley I Teufel; Claus O Wilke
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

8.  Long-term evolution on complex fitness landscapes when mutation is weak.

Authors:  David M McCandlish
Journal:  Heredity (Edinb)       Date:  2018-09-19       Impact factor: 3.821

9.  Gene Birth Contributes to Structural Disorder Encoded by Overlapping Genes.

Authors:  Sara Willis; Joanna Masel
Journal:  Genetics       Date:  2018-07-19       Impact factor: 4.562

Review 10.  Causes of molecular convergence and parallelism in protein evolution.

Authors:  Jay F Storz
Journal:  Nat Rev Genet       Date:  2016-03-14       Impact factor: 53.242

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