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Dating phylogenies with sequentially sampled tips.

Tanja Stadler, +1 more
- 01 Sep 2013 - 
- Vol. 62, Iss: 5, pp 674-688
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TLDR
Preliminary time estimates for old nodes to be sensitive to the priors on times and rates are found and it is suggested that multifurcating consensus trees should be avoided in dating analysis.
Abstract
We develop a Bayesian Markov chain Monte Carlo (MCMC) algorithm for estimating divergence times using sequentially sampled molecular sequences. This type of data is commonly collected during viral epidemics and is sometimes available from different species in ancient DNA studies. We derive the distribution of ages of nodes in the tree under a birth-death-sequential-sampling (BDSS) model and use it as the prior for divergence times in the dating analysis. We implement the prior in the MCMCtree program in the PAML package for divergence dating. The BDSS prior is very flexible and, with different parameters, can generate trees of very different shapes, suitable for examining the sensitivity of posterior time estimates. We apply the method to a data set of SIV/HIV-2 genes in comparison with a likelihood-based dating method, and to a data set of influenza H1 genes from different hosts in comparison with the Bayesian program BEAST. We examined the impact of tree topology on time estimates and suggest that multifurcating consensus trees should be avoided in dating analysis. We found posterior time estimates for old nodes to be sensitive to the priors on times and rates and suggest that previous Bayesian dating studies may have produced overconfident estimates.

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Citations
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Journal ArticleDOI

The fossilized birth–death process for coherent calibration of divergence-time estimates

TL;DR: The fossilized birth–death process is introduced—a fossil calibration method that unifies extinct and extant species with a single macroevolutionary model, eliminating the need for ad hoc calibration priors and yielding more accurate node age estimates while providing a coherent measure of statistical uncertainty.
Journal ArticleDOI

Molecular-clock methods for estimating evolutionary rates and timescales.

TL;DR: The different forms of evolutionary rate heterogeneity are described and explained how they can be accommodated in molecular‐clock analyses, and an outline of the various clock methods and models that are available is provided.
Journal ArticleDOI

Bayesian molecular clock dating of species divergences in the genomics era

TL;DR: The molecular clock hypothesis has become a powerful tool in evolutionary biology, making it possible to use molecular sequences to estimate the geological ages of species divergence events and to estimate a timescale for life on Earth.
Journal ArticleDOI

Morphological Phylogenetics in the Genomic Age

TL;DR: This work states that morphology remains a powerful independent source of evidence for testing molecular clades, and - through fossil phenotypes - the primary means for time-scaling phylogenies, and approaches for analysing phenotypic traits and fossils together with genomic data need to be refined.
Journal ArticleDOI

A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years

TL;DR: The idea is that an ancient genome has evolved less than the genomes of present-day individuals and thus has experienced fewer recombination events since the common ancestor, and the mean generation interval in humans over this period has been 26–30 y.
References
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Journal ArticleDOI

A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

TL;DR: This work has used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches.
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Evolutionary trees from DNA sequences: A maximum likelihood approach

TL;DR: A computationally feasible method for finding such maximum likelihood estimates is developed, and a computer program is available that allows the testing of hypotheses about the constancy of evolutionary rates by likelihood ratio tests.
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BEAST: Bayesian evolutionary analysis by sampling trees

TL;DR: BEAST is a fast, flexible software architecture for Bayesian analysis of molecular sequences related by an evolutionary tree that provides models for DNA and protein sequence evolution, highly parametric coalescent analysis, relaxed clock phylogenetics, non-contemporaneous sequence data, statistical alignment and a wide range of options for prior distributions.
Journal ArticleDOI

PAML 4: Phylogenetic Analysis by Maximum Likelihood

TL;DR: PAML, currently in version 4, is a package of programs for phylogenetic analyses of DNA and protein sequences using maximum likelihood (ML), which can be used to estimate parameters in models of sequence evolution and to test interesting biological hypotheses.
Journal ArticleDOI

Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees.

TL;DR: In this paper, a new mathematical method for estimating the number of transitional and transversional substitutions per site, as well as the total number of nucleotide substitutions was proposed, taking into account excess transitions, unequal nucleotide frequencies, and variation of substitution rate among different sites.
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