Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 438210
Title Quantitative analyses of empirical fitness landscapes
Author(s) Szendro, I.G.; Schenk, M.F.; Franke, J.; Krug, J.; Visser, J.A.G.M. de
Source Journal of Statistical Mechanics: Theory and Experiment 2013 (2013)1. - ISSN 1742-5468 - 24 p.
DOI https://doi.org/10.1088/1742-5468/2013/01/P01005
Department(s) Laboratory of Genetics
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) adaptive protein evolution - beneficial mutations - escherichia-coli - sign epistasis - mean number - rna virus - nk model - adaptation - populations - walks
Abstract The concept of a fitness landscape is a powerful metaphor that offers insight into various aspects of evolutionary processes and guidance for the study of evolution. Until recently, empirical evidence on the ruggedness of these landscapes was lacking, but since it became feasible to construct all possible genotypes containing combinations of a limited set of mutations, the number of studies has grown to a point where a classification of landscapes becomes possible. The aim of this review is to identify measures of epistasis that allow a meaningful comparison of fitness landscapes and then apply them to the empirical landscapes to discern factors that affect ruggedness. The various measures of epistasis that have been proposed in the literature appear to be equivalent. Our comparison shows that the ruggedness of the empirical landscape is affected by whether the included mutations are beneficial or deleterious and by whether intra- or intergenic epistasis is involved. Finally, the empirical landscapes are compared to landscapes generated with the Rough Mt.\ Fuji model. Despite the simplicity of this model, it captures the features of the experimental landscapes remarkably well
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