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DISSECT: an assignment-free Bayesian discovery method for species delimitation under the multispecies coalescent

Graham Jones, Bengt Oxelman
doi: https://doi.org/10.1101/003178
Graham Jones
1Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE 405 30 Göteborg, Sweden
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Bengt Oxelman
1Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, SE 405 30 Göteborg, Sweden
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Abstract

Motivation The multispecies coalescent model provides a formal framework for the assignment of individual organisms to species, where the species are modeled as the branches of the species tree. None of the available approaches so far have simultaneously co-estimated all the relevant parameters in the model, without restricting the parameter space by requiring a guide tree and/or prior assignment of individuals to clusters or species.

Results We present DISSECT, which explores the full space of possible clusterings of individuals and species tree topologies in a Bayesian framework. It uses an approximation to avoid the need for reversible-jump MCMC, in the form of a prior that is a modification of the birth-death prior for the species tree. It incorporates a spike near zero in the density for node heights. The model has two extra parameters: one controls the degree of approximation, and the second controls the prior distribution on the numbers of species. It is implemented as part of BEAST and requires only a few changes from a standard *BEAST analysis. The method is evaluated on simulated data and demonstrated on an empirical data set. The method is shown to be insensitive to the degree of approximation, but quite sensitive to the second parameter, suggesting that large numbers of sequences are needed to draw firm conclusions.

Availability http://code.google.com/p/beast-mcmc/, http://www.indriid.com/dissectinbeast.html

Contact art{at}gjones.name, www.indriid.com

Supplementary information Supplementary material is available.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted March 03, 2014.
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DISSECT: an assignment-free Bayesian discovery method for species delimitation under the multispecies coalescent
Graham Jones, Bengt Oxelman
bioRxiv 003178; doi: https://doi.org/10.1101/003178
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DISSECT: an assignment-free Bayesian discovery method for species delimitation under the multispecies coalescent
Graham Jones, Bengt Oxelman
bioRxiv 003178; doi: https://doi.org/10.1101/003178

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