Literature DB >> 17984061

Clonal interference in large populations.

Su-Chan Park1, Joachim Krug.   

Abstract

Clonal interference, the competition between lineages arising from different beneficial mutations in an asexually reproducing population, is an important factor determining the tempo and mode of microbial adaptation. The standard theory of this phenomenon neglects the occurrence of multiple mutations as well as the correlation between loss by genetic drift and clonal competition, which is questionable in large populations. Working within the Wright-Fisher model with multiplicative fitness (no epistasis), we determine the rate of adaptation asymptotically for very large population sizes and show that the standard theory fails in this regime. Our study also explains the success of the standard theory in predicting the rate of adaptation for moderately large populations. Furthermore, we show that the nature of the substitution process changes qualitatively when multiple mutations are allowed for, because several mutations can be fixed in a single fixation event. As a consequence, the index of dispersion for counts of the fixation process displays a minimum as a function of population size, whereas the origination process of fixed mutations becomes completely regular for very large populations. We find that the number of mutations fixed in a single event is geometrically distributed as in the neutral case. These conclusions are based on extensive simulations combined with analytic results for the limit of infinite population size.

Mesh:

Year:  2007        PMID: 17984061      PMCID: PMC2084309          DOI: 10.1073/pnas.0705778104

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

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Authors:  H A Orr
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  Resolving the paradox of sex and recombination.

Authors:  Sarah P Otto; Thomas Lenormand
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3.  The distribution of fitness effects among beneficial mutations.

Authors:  H Allen Orr
Journal:  Genetics       Date:  2003-04       Impact factor: 4.562

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

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

5.  Fitness effects of fixed beneficial mutations in microbial populations.

Authors:  Daniel E Rozen; J Arjan G M de Visser; Philip J Gerrish
Journal:  Curr Biol       Date:  2002-06-25       Impact factor: 10.834

6.  The speed of adaptation in large asexual populations.

Authors:  Claus O Wilke
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

7.  Adaptive mutations in bacteria: high rate and small effects.

Authors:  Lília Perfeito; Lisete Fernandes; Catarina Mota; Isabel Gordo
Journal:  Science       Date:  2007-08-10       Impact factor: 47.728

8.  The evolutionary advantage of recombination.

Authors:  J Felsenstein
Journal:  Genetics       Date:  1974-10       Impact factor: 4.562

9.  Evolution in finite populations with infinitely many types.

Authors:  H A Guess
Journal:  Theor Popul Biol       Date:  1974-06       Impact factor: 1.570

10.  On evolution in a population with an infinite number of types.

Authors:  I Eshel
Journal:  Theor Popul Biol       Date:  1971-06       Impact factor: 1.570

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  71 in total

1.  Distribution of fixed beneficial mutations and the rate of adaptation in asexual populations.

Authors:  Benjamin H Good; Igor M Rouzine; Daniel J Balick; Oskar Hallatschek; Michael M Desai
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-27       Impact factor: 11.205

Review 2.  Beneficial mutations and the dynamics of adaptation in asexual populations.

Authors:  Paul D Sniegowski; Philip J Gerrish
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-04-27       Impact factor: 6.237

3.  Mutational effects and population dynamics during viral adaptation challenge current models.

Authors:  Craig R Miller; Paul Joyce; Holly A Wichman
Journal:  Genetics       Date:  2010-11-01       Impact factor: 4.562

4.  The noisy edge of traveling waves.

Authors:  Oskar Hallatschek
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-27       Impact factor: 11.205

5.  The genetic basis of phenotypic adaptation I: fixation of beneficial mutations in the moving optimum model.

Authors:  Michael Kopp; Joachim Hermisson
Journal:  Genetics       Date:  2009-03-02       Impact factor: 4.562

6.  The dynamics of genetic draft in rapidly adapting populations.

Authors:  Katya Kosheleva; Michael M Desai
Journal:  Genetics       Date:  2013-09-03       Impact factor: 4.562

7.  Rate of adaptation in sexuals and asexuals: a solvable model of the Fisher-Muller effect.

Authors:  Su-Chan Park; Joachim Krug
Journal:  Genetics       Date:  2013-08-26       Impact factor: 4.562

Review 8.  Effective models and the search for quantitative principles in microbial evolution.

Authors:  Benjamin H Good; Oskar Hallatschek
Journal:  Curr Opin Microbiol       Date:  2018-12-06       Impact factor: 7.934

9.  Clonal interference, multiple mutations and adaptation in large asexual populations.

Authors:  Craig A Fogle; James L Nagle; Michael M Desai
Journal:  Genetics       Date:  2008-10-01       Impact factor: 4.562

Review 10.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

Authors:  Boyang Zhao; Michael T Hemann; Douglas A Lauffenburger
Journal:  Trends Cancer       Date:  2016-03
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