000195453 001__ 195453
000195453 005__ 20181203023407.0
000195453 022__ $$a0040-5809
000195453 02470 $$2ISI$$a000327925000001
000195453 0247_ $$2doi$$a10.1016/j.tpb.2013.08.001
000195453 037__ $$aARTICLE
000195453 245__ $$aCompeting islands limit the rate of adaptation in structured populations
000195453 269__ $$a2013
000195453 260__ $$bElsevier$$c2013$$aSan Diego
000195453 300__ $$a11
000195453 336__ $$aJournal Articles
000195453 520__ $$aBeneficial mutations can co-occur when population structure slows down adaptation. Here, we consider the process of adaptation in asexual populations distributed over several locations ("islands"). New beneficial mutations arise at constant rate u(b), and each mutation has the same selective advantage s > 0. We assume that populations evolve within islands according to the successional mutations regime of Desai and Fisher (2007), that is, the time to local fixation of a mutation is short compared to the expected waiting time until the next mutation occurs. To study the rate of adaptation, we introduce an approximate model, the successional mutations (SM) model, which can be simulated efficiently and yields accurate results for a wide range of parameters. In the SM model, mutations fix instantly within islands, and migrants can take over the destination island if they are fitter than the residents. For the special case of a population distributed equally across two islands with population size N, we approximate the model further for small and large migration rates in comparison to the mutation rate. These approximations lead to explicit formulas for the rate of adaptation which fit the original model for a large range of parameter values. For the d island case we provide some heuristics on how to extend the explicit formulas and check these with computer simulations. We conclude that the SM model is a good approximation of the adaptation process in a structured population, at least if mutation or migration is limited. (c) 2013 Elsevier Inc. All rights reserved.
000195453 6531_ $$aRate of adaptation
000195453 6531_ $$aIsland model
000195453 6531_ $$aPopulation structure
000195453 6531_ $$aBeneficial mutations
000195453 6531_ $$aSuccessional mutations regime
000195453 700__ $$uUniv Freiburg, Abt Math Stochast, D-79104 Freiburg, Germany$$aPokalyuk, Cornelia
000195453 700__ $$uEcole Polytech Fed Lausanne, Sch Life Sci, CH-1015 Lausanne, Switzerland$$aMathew, Lisha A.
000195453 700__ $$aMetzler, Dirk
000195453 700__ $$uUniv Freiburg, Abt Math Stochast, D-79104 Freiburg, Germany$$aPfaffelhuber, Peter
000195453 773__ $$j90$$tTheoretical Population Biology$$q1-11
000195453 909C0 $$xU11270$$0252451$$pGHI
000195453 909CO $$pSV$$particle$$ooai:infoscience.tind.io:195453
000195453 917Z8 $$x182289
000195453 937__ $$aEPFL-ARTICLE-195453
000195453 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000195453 980__ $$aARTICLE