title: The population genetics of adaptation on correlated fitness landscapes: the block model.
abstract: Several recent theoretical studies of the genetics of adaptation have focused on the mutational landscape model, which considers evolution on rugged fitness landscapes (i.e., ones having many local optima). Adaptation in this model is characterized by several simple results. Here I ask whether these results also hold on correlated fitness landscapes, which are smoother than those considered in the mutational landscape model. In particular, I study the genetics of adaptation in the block model, a tunably rugged model of fitness landscapes. Considering the scenario in which adaptation begins from a high fitness wild-type DNA sequence, I use extreme value theory and computer simulations to study both single adaptive steps and entire adaptive walks. I show that all previous results characterizing single steps in adaptation in the mutational landscape model hold at least approximately on correlated landscapes in the block model; many entire-walk results, however, do not.
authors.affiliation: Department of Biology, University of Rochester, Rochester, New York 14627, USA. aorr@mail.rochester.edu
authors.forename: H Allen
authors.initials: HA
authors.lastname: Orr
mesh_terms: D000222:Adaptation, Physiological / Q000235:genetics*; D005075:Biological Evolution; D003198:Computer Simulation; D005828:Genetics, Population / Q000379:methods*; D008957:Models, Genetic; D009154:Mutation; D012641:Selection, Genetic