Literature DB >> 17677302

Evolution equation of phenotype distribution: general formulation and application to error catastrophe.

Katsuhiko Sato1, Kunihiko Kaneko.   

Abstract

An equation describing the evolution of phenotypic distribution is derived using methods developed in statistical physics. The equation is solved by using the singular perturbation method, and assuming that the number of bases in the genetic sequence is large. Applying the equation to the mutation-selection model by Eigen provides the critical mutation rate for the error catastrophe. Phenotypic fluctuation of clones (individuals sharing the same gene) is introduced into this evolution equation. With this formalism, it is found that the critical mutation rate is sometimes increased by the phenotypic fluctuations, i.e., noise can enhance robustness of a fitted state to mutation. Our formalism is systematic and general, while approximations to derive more tractable evolution equations are also discussed.

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Year:  2007        PMID: 17677302     DOI: 10.1103/PhysRevE.75.061909

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Exploration dynamics in evolutionary games.

Authors:  Arne Traulsen; Christoph Hauert; Hannelore De Silva; Martin A Nowak; Karl Sigmund
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-05       Impact factor: 11.205

2.  Relationship among phenotypic plasticity, phenotypic fluctuations, robustness, and evolvability; Waddington's legacy revisited under the spirit of Einstein.

Authors:  Kunihiko Kaneko
Journal:  J Biosci       Date:  2009-10       Impact factor: 1.826

3.  The prebiotic evolutionary advantage of transferring genetic information from RNA to DNA.

Authors:  Kevin Leu; Benedikt Obermayer; Sudha Rajamani; Ulrich Gerland; Irene A Chen
Journal:  Nucleic Acids Res       Date:  2011-06-30       Impact factor: 16.971

4.  Lethal mutants and truncated selection together solve a paradox of the origin of life.

Authors:  David B Saakian; Christof K Biebricher; Chin-Kun Hu
Journal:  PLoS One       Date:  2011-07-26       Impact factor: 3.240

5.  The rich phase structure of a mutator model.

Authors:  David B Saakian; Tatiana Yakushkina; Chin-Kun Hu
Journal:  Sci Rep       Date:  2016-10-10       Impact factor: 4.379

6.  Phenotypic-dependent variability and the emergence of tolerance in bacterial populations.

Authors:  José Camacho Mateu; Matteo Sireci; Miguel A Muñoz
Journal:  PLoS Comput Biol       Date:  2021-09-23       Impact factor: 4.475

  6 in total

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