A Bayesian framework to estimate diversification rates and their variation through time and space.

ABSTRACT:

Background

Patterns of species diversity are the result of speciation and extinction processes, and molecular phylogenetic data can provide valuable information to derive their variability through time and across clades. Bayesian Markov chain Monte Carlo methods offer a promising framework to incorporate phylogenetic uncertainty when estimating rates of diversification.

Results

We introduce a new approach to estimate diversification rates in a Bayesian framework over a distribution of trees under various constant and variable rate birth-death and pure-birth models, and test it on simulated phylogenies. Furthermore, speciation and extinction rates and their posterior credibility intervals can be estimated while accounting for non-random taxon sampling. The framework is partic

SUBMITTER: Silvestro D 

PROVIDER: S-EPMC3224121 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature