Please use this identifier to cite or link to this item: http://lib.jncasr.ac.in:8080/jspui/handle/10572/2531
Title: Adaptive walks and distribution of beneficial fitness effects
Authors: Seetharaman, Sarada
Jain, Kavita
Keywords: Ecology
Evolutionary Biology
Genetics & Heredity
Extreme Value Theory
Distribution Of Beneficial Fitnesses
Adaptive Walk
Strong Selection
RNA Virus
Pseudomonas-Fluorescens
Population-Genetics
Weak Mutation
DNA-Sequences
Adaptation
Evolution
Landscapes
Dynamics
Issue Date: 2014
Publisher: Wiley-Blackwell
Citation: Seetharaman, S; Jain, K, ADAPTIVE WALKS AND DISTRIBUTION OF BENEFICIAL FITNESS EFFECTS. Evolution 2014, 68 (4) 965-975, http://dx.doi.org/10.1111/evo.12327
Evolution
68
4
Abstract: We study the adaptation dynamics of a maladapted asexual population on rugged fitness landscapes with many local fitness peaks. The distribution of beneficial fitness effects is assumed to belong to one of the three extreme value domains, viz. Weibull, Gumbel, and Frechet. We work in the strong selection-weak mutation regime in which beneficial mutations fix sequentially, and the population performs an uphill walk on the fitness landscape until a local fitness peak is reached. A striking prediction of our analysis is that the fitness difference between successive steps follows a pattern of diminishing returns in the Weibull domain and accelerating returns in the Frechet domain, as the initial fitness of the population is increased. These trends are found to be robust with respect to fitness correlations. We believe that this result can be exploited in experiments to determine the extreme value domain of the distribution of beneficial fitness effects. Our work here differs significantly from the previous ones that assume the selection coefficient to be small. On taking large effect mutations into account, we find that the length of the walk shows different qualitative trends from those derived using small selection coefficient approximation.
Description: Restricted Access
URI: http://hdl.handle.net/10572/2531
ISSN: 0014-3820
Appears in Collections:Research Articles (Kavita Jain)

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