title: A likelihood framework for estimating phylogeographic history on a continuous landscape.
abstract: Due to lack of an adequate statistical framework, biologists studying phylogeography are abandoning traditional methods of estimating phylogeographic history in favor of statistical methods designed to test a priori hypotheses. These new methods may, however, have limited descriptive utility. Here, we develop a new statistical framework that can be used to both test a priori hypotheses and estimate phylogeographic history of a gene (and the statistical confidence in that history) in the absence of such hypotheses. The statistical approach concentrates on estimation of geographic locations of the ancestors of a set of sampled organisms. Now we use (2) to derive the likelihood of the ancestral geographic coordinates and the value of the scaled dispersal parameter, given the observed geographic coordinates (assuming known topology and branch lengths). Using a maximum likelihood approach, which is implemented in the new program PhyloMapper, we apply this statistical framework to a 246-taxon mitochondrial genealogy of North American chorus frogs, focusing in detail on one of these species. We demonstrate three lines of evidence for recent northward expansion of the mitochondrion of the coastal clade of Pseudacris feriarum: higher per-generation dispersal distance in the recently colonized region, a noncentral ancestral location, and directional migration. After illustrating one method of accommodating phylogenetic uncertainty, we conclude by discussing how extensions of this framework could function to incorporate a priori ecological and geological information into phylogeographic analyses.
authors.affiliation: Section of Integrative Biology, University of Texas-Austin, Austin, Texas 78712, USA. alemmon@evotutor.org
authors.forename: Alan R
authors.initials: AR
authors.lastname: Lemmon
authors.forename: Emily Moriarty
authors.initials: EM
authors.lastname: Lemmon
mesh_terms: D000818:Animals; D001001:Anura / Q000145:classification / Q000235:genetics; D002965:Classification / Q000379:methods; D003627:Data Interpretation, Statistical; D004272:DNA, Mitochondrial / Q000235:genetics; D004641:Emigration and Immigration; D005843:Geography; D016013:Likelihood Functions; D008957:Models, Genetic; D010802:Phylogeny; D006801:Humans
chemical_list: D004272:DNA, Mitochondrial