Modelling Evolutionary Trajectories from Experimental Evolution Studies
(with Agnes Jonas, Hande Topa, Antti Honkela, Christian Schlötterer)
Recent advances in sequencing technologies have made it possible to observe evolutionary trajectories-- allele frequency changes through time-- in great detail. For example, in addition to knowing the genetic changes at the end of a long-term selection experiment, we can also monitor allele frequency changes during the experiment. Using High Throughput Sequencing (HTS) technologies, we have collected data on allele frequency changes from populations undergoing laboratory selection for temperature adaptation. Using Gaussian Process models, we are developing methods to use, as fully as possible, the extent of the information in the evolutionary trajectories to identify sites responding to selection.