title: A distance-based least-square method for dating speciation events.
abstract: Distance-based phylogenetic methods are widely used in biomedical research. However, there has been little development of rigorous statistical methods and software for dating speciation and gene duplication events by using evolutionary distances. Here we present a simple, fast and accurate dating method based on the least-squares (LS) method that has already been widely used in molecular phylogenetic reconstruction. Dating methods with a global clock or two different local clocks are presented. Single or multiple fossil calibration points can be used, and multiple data sets can be integrated in a combined analysis. Variation of the estimated divergence time is estimated by resampling methods such as bootstrapping or jackknifing. Application of the method to dating the divergence time among seven ape species or among 35 mammalian species including major mammalian orders shows that the estimated divergence time with the LS criterion is nearly identical to those obtained by the likelihood method or Bayesian inference.
authors.affiliation: Department of Biology and Center for Advanced Research in Environmental Genomics, University of Ottawa, 30 Marie Curie, P.O. Box 450, Station A, Ottawa, Ontario, Canada. xxia@uottawa.ca
authors.forename: Xuhua
authors.initials: X
authors.lastname: Xia
authors.forename: Qun
authors.initials: Q
authors.lastname: Yang
mesh_terms: D000818:Animals; D002965:Classification / Q000379:methods*; D019143:Evolution, Molecular; D020440:Gene Duplication / Q000235:genetics; D049810:Genetic Speciation; D016018:Least-Squares Analysis; D008322:Mammals / Q000235:genetics; D008957:Models, Genetic; D010802:Phylogeny; D013997:Time Factors