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Article overview
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Approximate Bayesian computation for Markovian binary trees in phylogenetics | | Mingqi He
; Yao-ban Chan
; Sophie Hautphenne
; | | Date: |
1 Sep 2023 | | Abstract: | Phylogenetic trees describe the relationships between species in the
evolutionary process, and provide information about the rates of
diversification. To understand the mechanisms behind macroevolution, we
consider a class of multitype branching processes called Markovian binary trees
(MBTs). MBTs allow for trait-based variation in diversification rates, and
provide a flexible and realistic probabilistic model for phylogenetic trees. We
use an approximate Bayesian computation (ABC) scheme to infer the rates of MBTs
by exploiting information in the shapes of phylogenetic trees. We evaluate the
accuracy of this inference method using simulation studies, and find that our
method is accurate and able to detect variation in the diversification rates.
In an application to a real-life phylogeny of squamata, we reinforce
conclusions drawn from earlier studies, in particular supporting the existence
of ovi-/viviparity transitions in both directions. This demonstrates the
potential for more complex models of evolution to be employed in phylogenetic
inference. | | Source: | arXiv, 2309.00194 | | Services: | Forum | Review | PDF | Favorites | |
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