Discovering population structures with extreme fixation rates via evolutionary search
Dick, Grant; Whigham, Peter A
Genetic drift is a well known and important force in directing the evolution of a population. The nature of genetic drift in panmictic populations is well understood, and new research is shedding light on the behaviour of genetic drift. This paper explores the concept of using evolutionary algorithms to search for population structures that exhibit the minimum and maximum conditions for loss of variation via genetic drift. Two spatial structures repeatedly emerge as candidates: a star topology that reduces fixation time to a logarithm of population size, and a “line with islands” topology that can delay fixation via genetic drift to a greater extent than any previously known population structure.
Conference: 17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop), Dunedin, New Zealand
Keywords: genetic drift; spatially-structured populations; hyperfixation; evolutionary algorithms, multimodal optimisation; niching methods
Research Type: Conference or Workshop Item (Paper)