Performance of a Divergence Time Estimation Method under a Probabilistic Model of Rate Evolution
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Open Access
- 1 March 2001
- journal article
- research article
- Published by Oxford University Press (OUP) in Molecular Biology and Evolution
- Vol. 18 (3) , 352-361
- https://doi.org/10.1093/oxfordjournals.molbev.a003811
Abstract
Rates of molecular evolution vary over time and, hence, among lineages. In contrast, widely used methods for estimating divergence times from molecular sequence data assume constancy of rates. Therefore, methods for estimation of divergence times that incorporate rate variation are attractive. Improvements on a previously proposed Bayesian technique for divergence time estimation are described. New parameterization more effectively captures the phylogenetic structure of rate evolution on a tree. Fossil information and other evidence can now be included in Bayesian analyses in the form of constraints on divergence times. Simulation results demonstrate that the accuracy of divergence time estimation is substantially enhanced when constraints are included.Keywords
This publication has 15 references indexed in Scilit:
- Interordinal relationships and timescale of eutherian evolution as inferred from mitochondrial genome dataGene, 2000
- Estimation of Primate Speciation Dates Using Local Molecular ClocksMolecular Biology and Evolution, 2000
- Timing the Ancestor of the HIV-1 Pandemic StrainsScience, 2000
- Implications of Fluctuations in Substitution Rates: Impact on the Uncertainty of Branch Lengths and on Relative-Rate TestsJournal of Molecular Evolution, 2000
- Estimating the rate of evolution of the rate of molecular evolutionMolecular Biology and Evolution, 1998
- Estimating divergence dates from molecular sequencesMolecular Biology and Evolution, 1998
- A Nonparametric Approach to Estimating Divergence Times in the Absence of Rate ConstancyMolecular Biology and Evolution, 1997
- Estimation of branching dates among primates by molecular clocks of nuclear DNA which slowed down in HominoideaJournal of Human Evolution, 1989
- Monte Carlo sampling methods using Markov chains and their applicationsBiometrika, 1970
- Evolution of Protein MoleculesPublished by Elsevier ,1969