title: Evolution dynamics of a model for gene duplication under adaptive conflict.
abstract: We present and solve the dynamics of a model for gene duplication showing escape from adaptive conflict. We use a Crow-Kimura quasispecies model of evolution where the fitness landscape is a function of Hamming distances from two reference sequences, which are assumed to optimize two different gene functions, to describe the dynamics of a mixed population of individuals with single and double copies of a pleiotropic gene. The evolution equations are solved through a spin coherent state path integral, and we find two phases: one is an escape from an adaptive conflict phase, where each copy of a duplicated gene evolves toward subfunctionalization, and the other is a duplication loss of function phase, where one copy maintains its pleiotropic form and the other copy undergoes neutral mutation. The phase is determined by a competition between the fitness benefits of subfunctionalization and the greater mutational load associated with maintaining two gene copies. In the escape phase, we find a dynamics of an initial population of single gene sequences only which escape adaptive conflict through gene duplication and find that there are two time regimes: until a time t single gene sequences dominate, and after t double gene sequences outgrow single gene sequences. The time t is identified as the time necessary for subfunctionalization to evolve and spread throughout the double gene sequences, and we show that there is an optimum mutation rate which minimizes this time scale.
authors.affiliation: Department of Physics, The Catholic University of Korea, Bucheon 420-743, Korea.
authors.forename: Mark
authors.initials: M
authors.lastname: Ancliff
authors.affiliation: Department of Physics, The Catholic University of Korea, Bucheon 420-743, Korea.
authors.forename: Jeong-Man
authors.initials: JM
authors.lastname: Park
mesh_terms: D005075:Biological Evolution; D020440:Gene Duplication; D016014:Linear Models; D008957:Models, Genetic; D013995:Time