Please use this identifier to cite or link to this item: http://lib.jncasr.ac.in:8080/jspui/handle/10572/2532
Title: Length of adaptive walk on uncorrelated and correlated fitness landscapes
Authors: Seetharaman, Sarada
Jain, Kavita
Keywords: Fluids & Plasmas Physics
Mathematical Physics
Beneficial Mutations
RNA Virus
Population-Genetics
Strong Selection
Weak Mutation
DNA-Sequences
Adaptation
Evolution
Dynamics
Steps
Issue Date: 2014
Publisher: American Physical Society
Citation: Seetharaman, S; Jain, K, Length of adaptive walk on uncorrelated and correlated fitness landscapes. Physical Review E 2014, 90 (3), 32703 http://dx.doi.org/10.1103/PhysRevE.90.032703
Physical Review E
90
3
Abstract: We consider the adaptation dynamics of an asexual population that walks uphill on a rugged fitness landscape which is endowed with a large number of local fitness peaks. We work in a parameter regime where only those mutants that are a single mutation away are accessible, as a result of which the population eventually gets trapped at a local fitness maximum and the adaptive walk terminates. We study how the number of adaptive steps taken by the population before reaching a local fitness peak depends on the initial fitness of the population, the extreme value distribution of the beneficial mutations, and correlations among the fitnesses. Assuming that the relative fitness difference between successive steps is small, we analytically calculate the average walk length for both uncorrelated and correlated fitnesses in all extreme value domains for a given initial fitness. We present numerical results for the model where the fitness differences can be large and find that the walk length behavior differs from that in the former model in the Frechet domain of extreme value theory. We also discuss the relevance of our results to microbial experiments.
Description: Restricted Access
URI: http://hdl.handle.net/10572/2532
ISSN: 1539-3755
Appears in Collections:Research Articles (Kavita Jain)

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