title: Constructing minimal ancestral recombination graphs.
abstract: By viewing the ancestral recombination graph as defining a sequence of trees, we show how possible evolutionary histories consistent with given data can be constructed using the minimum number of recombination events. In contrast to previously known methods, which yield only estimated lower bounds, our method of detecting recombination always gives the minimum number of recombination events if the right kind of rooted trees are used in our algorithm. A new lower bound can be defined if rooted trees with fewer constraints are used. As well as studying how often it actually is equal to the minimum, we test how this new lower bound performs in comparison to some other lower bounds. Our study indicates that the new lower bound is an improvement on earlier bounds. Also, using simulated data, we investigate how well our method can recover the actual site-specific evolutionary relationships. In the presence of recombination, using a single tree to describe the evolution of the entire locus clearly leads to lower average recovery percentages than does our method. Our study shows that recovering the actual local tree topologies can be done more accurately than estimating the actual number of recombination events.
authors.affiliation: Department of Statistics, University of Oxford, 1 South Parks Road, Oxford, OX1 3TG, UK. song@stats.ox.ac.uk
authors.forename: Yun S
authors.initials: YS
authors.lastname: Song
authors.forename: Jotun
authors.initials: J
authors.lastname: Hein
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology / Q000706:statistics & numerical data*; D003196:Computer Graphics; D003198:Computer Simulation; D019143:Evolution, Molecular; D006239:Haplotypes; D006801:Humans; D008957:Models, Genetic; D011995:Recombination, Genetic