A Bayesian approach to phylogeographic clustering

Manolopoulou, Ioanna, Legarreta, Lorenza, Emerson, Brent C., Brooks, Steve and Tavaré, Simon (2011) A Bayesian approach to phylogeographic clustering. Interface Focus, 1 (6). pp. 909-921. ISSN 2042-8898

Full text not available from this repository.


Phylogeographic methods have attracted a lot of attention in recent years, stressing the need to provide a solid statistical framework for many existing methodologies so as to draw statistically reliable inferences. Here, we take a flexible fully Bayesian approach by reducing the problem to a clustering framework, whereby the population distribution can be explained by a set of migrations, forming geographically stable population clusters. These clusters are such that they are consistent with a fixed number of migrations on the corresponding (unknown) subdivided coalescent tree. Our methods rely upon a clustered population distribution, and allow for inclusion of various covariates (such as phenotype or climate information) at little additional computational cost. We illustrate our methods with an example from weevil mitochondrial DNA sequences from the Iberian peninsula.

Item Type: Article
Uncontrolled Keywords: sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School: Faculty of Science > School of Biological Sciences
UEA Research Groups: Faculty of Science > Research Groups > Organisms and the Environment
Depositing User: Users 2731 not found.
Date Deposited: 23 Jan 2012 21:37
Last Modified: 14 May 2023 23:59
URI: https://ueaeprints.uea.ac.uk/id/eprint/36377
DOI: 10.1098/rsfs.2011.0054

Actions (login required)

View Item View Item