Testing methods for inferring population history from individual genome-scale sequences (#76)
Knowledge of past population sizes provides important insights into the evolutionary history of a species. Several methods have been developed to infer the change in demographic history through time using genetic sequences, such as the Bayesian skyline and skyride methods. Most of these demographic reconstruction methods use sequence data from only a small number of loci. In 2011, Li and Durbin developed the pairwise sequential Markovian chain (PSMC) method, which uses genome-scale diploid sequences to infer the demographic history of an organism. Results from this method show that the European and Chinese populations experienced a severe bottleneck about 10 - 60 kyr ago, distinct from the milder bottleneck experienced by African populations. We tested the robustness and resolution of the PSMC method with regard to variable parameter values, such as mutation rate, demographic history, and sequence lengths.