title: The influence of taxon sampling on Bayesian divergence time inference under scenarios of rate heterogeneity among lineages.
abstract: Although taxon sampling is commonly considered an important issue in phylogenetic inference, it is rarely considered in the Bayesian estimation of divergence times. In fact, the studies conducted to date have presented ambiguous results, and the relevance of taxon sampling for molecular dating remains unclear. In this study, we developed a series of simulations that, after six hundred Bayesian molecular dating analyses, allowed us to evaluate the impact of taxon sampling on chronological estimates under three scenarios of among-lineage rate heterogeneity. The first scenario allowed us to examine the influence of the number of terminals on the age estimates based on a strict molecular clock. The second scenario imposed an extreme example of lineage specific rate variation, and the third scenario permitted extensive rate variation distributed along the branches. We also analyzed empirical data on selected mitochondrial genomes of mammals. Our results showed that in the strict molecular-clock scenario (Case I), taxon sampling had a minor impact on the accuracy of the time estimates, although the precision of the estimates was greater with an increased number of terminals. The effect was similar in the scenario (Case III) based on rate variation distributed among the branches. Only under intensive rate variation among lineages (Case II) taxon sampling did result in biased estimates. The results of an empirical analysis corroborated the simulation findings. We demonstrate that taxonomic sampling affected divergence time inference but that its impact was significant if the rates deviated from those derived for the strict molecular clock. Increased taxon sampling improved the precision and accuracy of the divergence time estimates, but the impact on precision is more relevant. On average, biased estimates were obtained only if lineage rate variation was pronounced.
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro 21941-590, Brazil. Electronic address: aesoares@ucsc.edu.
authors.forename: André E R
authors.initials: AE
authors.lastname: Soares
authors.affiliation: Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro 21941-590, Brazil. Electronic address: carlos.schrago@gmail.com.
authors.forename: Carlos G
authors.initials: CG
authors.lastname: Schrago
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002138:Calibration; D003198:Computer Simulation; D054629:Genome, Mitochondrial; D006801:Humans; D008322:Mammals / Q000145:classification* / Q000235:genetics; D010802:Phylogeny; D013997:Time Factors
keywords: Bayesian molecular dating; Molecular clock; Molecular dating; Relaxed molecular clock; Simulation