Literature DB >> 15784268

The nk model and population genetics.

John J Welch1, David Waxman.   

Abstract

The nk model of fitness interactions is examined. This model has been used by previous authors to investigate the effects of fitness epistasis on substitution dynamics in molecular evolution, and to make broader claims about the importance of epistasis. To examine these claims, an infinite-allele approximation is introduced. In this limit, it is shown that the nk model is, at an appropriate level of description, formally identical to the non-epistatic House-of-Cards model--a well-studied model in theoretical population genetics. It is further shown that in many parameter regimes, the analytical results obtained from this infinite-allele approximation are very close to results from the full nk model (with a finite number of alleles per locus). The findings presented shed light on a number of previous results.

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Year:  2005        PMID: 15784268     DOI: 10.1016/j.jtbi.2004.11.027

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


  9 in total

1.  Magnitude and sign epistasis among deleterious mutations in a positive-sense plant RNA virus.

Authors:  J Lalić; S F Elena
Journal:  Heredity (Edinb)       Date:  2012-04-11       Impact factor: 3.821

2.  Lack of evidence for sign epistasis between beneficial mutations in an RNA bacteriophage.

Authors:  Andrea J Betancourt
Journal:  J Mol Evol       Date:  2010-10-12       Impact factor: 2.395

3.  Percolation on fitness landscapes: effects of correlation, phenotype, and incompatibilities.

Authors:  Janko Gravner; Damien Pitman; Sergey Gavrilets
Journal:  J Theor Biol       Date:  2007-07-18       Impact factor: 2.691

4.  The dynamics of adaptation on correlated fitness landscapes.

Authors:  Sergey Kryazhimskiy; Gasper Tkacik; Joshua B Plotkin
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-26       Impact factor: 11.205

5.  Impact of epistasis and pleiotropy on evolutionary adaptation.

Authors:  Bjørn Ostman; Arend Hintze; Christoph Adami
Journal:  Proc Biol Sci       Date:  2011-06-22       Impact factor: 5.349

6.  Adaptation in tunably rugged fitness landscapes: the rough Mount Fuji model.

Authors:  Johannes Neidhart; Ivan G Szendro; Joachim Krug
Journal:  Genetics       Date:  2014-08-13       Impact factor: 4.562

7.  Mapping a Systematic Ribozyme Fitness Landscape Reveals a Frustrated Evolutionary Network for Self-Aminoacylating RNA.

Authors:  Abe D Pressman; Ziwei Liu; Evan Janzen; Celia Blanco; Ulrich F Müller; Gerald F Joyce; Robert Pascal; Irene A Chen
Journal:  J Am Chem Soc       Date:  2019-04-05       Impact factor: 15.419

8.  The impact of population size on the evolution of asexual microbes on smooth versus rugged fitness landscapes.

Authors:  Andreas Handel; Daniel E Rozen
Journal:  BMC Evol Biol       Date:  2009-09-18       Impact factor: 3.260

9.  A framework for evolutionary systems biology.

Authors:  Laurence Loewe
Journal:  BMC Syst Biol       Date:  2009-02-24
  9 in total

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