Universität zu Köln

Neidhart, Johannes, Szendro, Ivan G. and Krug, Joachim ORCID: 0000-0002-2143-6490 (2014). Adaptation in Tunably Rugged Fitness Landscapes: The Rough Mount Fuji Model. Genetics, 198 (2). S. 699 - 722. BETHESDA: GENETICS SOCIETY AMERICA. ISSN 1943-2631

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Abstract

Much of the current theory of adaptation is based on Gillespie's mutational landscape model (MLM), which assumes that the fitness values of genotypes linked by single mutational steps are independent random variables. On the other hand, a growing body of empirical evidence shows that real fitness landscapes, while possessing a considerable amount of ruggedness, are smoother than predicted by the MLM. In the present article we propose and analyze a simple fitness landscape model with tunable ruggedness based on the rough Mount Fuji (RMF) model originally introduced by Aita et al. in the context of protein evolution. We provide a comprehensive collection of results pertaining to the topographical structure of RMF landscapes, including explicit formulas for the expected number of local fitness maxima, the location of the global peak, and the fitness correlation function. The statistics of single and multiple adaptive steps on the RMF landscape are explored mainly through simulations, and the results are compared to the known behavior in the MLM model. Finally, we show that the RMF model can explain the large number of second-step mutations observed on a highly fit first-step background in a recent evolution experiment with a microvirid bacteriophage.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Neidhart, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Szendro, Ivan G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Krug, Joachim UNSPECIFIED orcid.org/0000-0002-2143-6490 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-426633
DOI:	10.1534/genetics.114.167668
Journal or Publication Title:	Genetics
Volume:	198
Number:	2
Page Range:	S. 699 - 722
Date:	2014
Publisher:	GENETICS SOCIETY AMERICA
Place of Publication:	BETHESDA
ISSN:	1943-2631
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Physics > Institut für Biologische Physik
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language ADAPTIVE WALKS; BENEFICIAL MUTATIONS; POPULATION-GENETICS; STRONG SELECTION; NK MODEL; EVOLUTION; EPISTASIS; DYNAMICS; ORDER; PREDICTABILITY Multiple languages Genetics & Heredity Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/42663