Literature DB >> 21729050

Evolutionary advantage of small populations on complex fitness landscapes.

Kavita Jain1, Joachim Krug, Su-Chan Park.   

Abstract

Recent experimental and theoretical studies have shown that small asexual populations evolving on complex fitness landscapes may achieve a higher fitness than large ones due to the increased heterogeneity of adaptive trajectories. Here, we introduce a class of haploid three-locus fitness landscapes that allow the investigation of this scenario in a precise and quantitative way. Our main result derived analytically shows how the probability of choosing the path of the largest initial fitness increase grows with the population size. This makes large populations more likely to get trapped at local fitness peaks and implies an advantage of small populations at intermediate time scales. The range of population sizes where this effect is operative coincides with the onset of clonal interference. Additional studies using ensembles of random fitness landscapes show that the results achieved for a particular choice of three-locus landscape parameters are robust and also persist as the number of loci increases. Our study indicates that an advantage for small populations is likely whenever the fitness landscape contains local maxima. The advantage appears at intermediate time scales, which are long enough for trapping at local fitness maxima to have occurred but too short for peak escape by the creation of multiple mutants.
© 2011 The Author(s). Evolution© 2011 The Society for the Study of Evolution.

Mesh:

Year:  2011        PMID: 21729050     DOI: 10.1111/j.1558-5646.2011.01280.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  19 in total

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

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5.  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

Review 6.  Empirical fitness landscapes and the predictability of evolution.

Authors:  J Arjan G M de Visser; Joachim Krug
Journal:  Nat Rev Genet       Date:  2014-06-10       Impact factor: 53.242

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Authors:  Merijn L M Salverda; Jeroen Koomen; Bertha Koopmanschap; Mark P Zwart; J Arjan G M de Visser
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-13       Impact factor: 11.205

8.  The fitness landscape of the codon space across environments.

Authors:  Inês Fragata; Sebastian Matuszewski; Mark A Schmitz; Thomas Bataillon; Jeffrey D Jensen; Claudia Bank
Journal:  Heredity (Edinb)       Date:  2018-08-20       Impact factor: 3.821

Review 9.  Modeling Tumor Clonal Evolution for Drug Combinations Design.

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

10.  Evolutionary processes in finite populations.

Authors:  Dirk M Lorenz; Jeong-Man Park; Michael W Deem
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-13
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