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Species Tree Inference with BPP Using Genomic Sequences and the Multispecies Coalescent

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Flouri, Tomáš, Jiao, Xiyun, Rannala, Bruce, Yang, Ziheng·2018·Molecular Biology and Evolution

Abstract

The multispecies coalescent provides a natural framework for accommodating ancestral genetic polymorphism and coalescent processes that can cause different genomic regions to have different genealogical histories. The Bayesian program BPP includes a full-likelihood implementation of the multispecies coalescent, using transmodel Markov chain Monte Carlo to calculate the posterior probabilities of different species trees. BPP is suitable for analyzing multilocus sequence data sets and it accommodates the heterogeneity of gene trees (both the topology and branch lengths) among loci and gene tree uncertainties due to limited phylogenetic information at each locus. Here, we provide a practical guide to the use of BPP in species tree estimation. BPP is a command-line program that runs on linux, macosx, and windows. This protocol shows how to use both BPP 3.4 (http://abacus.gene.ucl.ac.uk/software/) and BPP 4.0 (https://github.com/bpp/).

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Metadata

Authors
Flouri, T., Jiao, X., Rannala, B., & Yang, Z.
Venue
Molecular Biology and Evolution
Published
2018-07-23
Volume
35
Issue
10
Pages
2585-2593
ISSN
  • 0737-4038 (ISSN-L)
  • 1537-1719
OpenAlex
W2883170162
Cited by
445
References
39
FWCI
10.44
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Species Tree Inference with BPP Using Genomic Sequences and the Multispecies Coalescent. https://app.cochat.ai/papers/10.1093/molbev/msy147
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Flouri, T., Jiao, X., Rannala, B., & Yang, Z. (2018). Species Tree Inference with BPP Using Genomic Sequences and the Multispecies Coalescent. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msy147

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