Literature DB >> 16530790

Fisher's geometrical model of evolutionary adaptation--beyond spherical geometry.

D Waxman1.   

Abstract

Fisher's geometrical model of evolutionary adaptation has recently been used in a variety of contexts of interest to evolutionary biologists. The renewed interest in this model strongly motivates generalizations that make it a more realistic description of evolutionary adaptation. Previously, the distribution of mutant effects has, for analytical tractability, rather than biological realism, been taken as spherically symmetric. Here we substantially extend Fisher's model, by allowing a wider class of mutational distributions that incorporate mutational bias and more general deviations from spherical symmetry such as correlations between mutant effects. We also incorporate work on generalized fitness landscapes, thereby reducing the number of artificial assumptions underlying the model. The generalized model exhibits a substantially increased flexibility and a far richer underlying geometry. We find that the distribution characterizing selection coefficients of new mutations is expressed in terms of a number of geometrical invariants associated with mutation, selection and the parental phenotype.

Mesh:

Year:  2006        PMID: 16530790     DOI: 10.1016/j.jtbi.2006.01.024

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  A theory of age-dependent mutation and senescence.

Authors:  Jacob A Moorad; Daniel E L Promislow
Journal:  Genetics       Date:  2008-07-27       Impact factor: 4.562

2.  Fisher's geometric model of adaptation meets the functional synthesis: data on pairwise epistasis for fitness yields insights into the shape and size of phenotype space.

Authors:  Daniel M Weinreich; Jennifer L Knies
Journal:  Evolution       Date:  2013-06-05       Impact factor: 3.694

3.  Phenotypic Novelty in EvoDevo: The Distinction Between Continuous and Discontinuous Variation and Its Importance in Evolutionary Theory.

Authors:  Tim Peterson; Gerd B Müller
Journal:  Evol Biol       Date:  2016-04-28       Impact factor: 3.119

4.  Why is cancer not more common? A changing microenvironment may help to explain why, and suggests strategies for anti-cancer therapy.

Authors:  Xiaowei Jiang; Ian P M Tomlinson
Journal:  Open Biol       Date:  2020-04-15       Impact factor: 6.411

  4 in total

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