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Model selection may not be a mandatory step for phylogeny reconstruction
by
Azouri, Dana
, Pupko, Tal
, Mayrose, Itay
, Abadi, Shiran
in
631/114/2397
/ 631/114/739
/ 631/181/735
/ Bayesian analysis
/ Computer simulation
/ Criteria
/ Evolution, Molecular
/ Humanities and Social Sciences
/ Models, Genetic
/ multidisciplinary
/ Phylogeny
/ Reconstruction
/ Science
/ Science (multidisciplinary)
/ Topology
2019
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Model selection may not be a mandatory step for phylogeny reconstruction
by
Azouri, Dana
, Pupko, Tal
, Mayrose, Itay
, Abadi, Shiran
in
631/114/2397
/ 631/114/739
/ 631/181/735
/ Bayesian analysis
/ Computer simulation
/ Criteria
/ Evolution, Molecular
/ Humanities and Social Sciences
/ Models, Genetic
/ multidisciplinary
/ Phylogeny
/ Reconstruction
/ Science
/ Science (multidisciplinary)
/ Topology
2019
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Do you wish to request the book?
Model selection may not be a mandatory step for phylogeny reconstruction
by
Azouri, Dana
, Pupko, Tal
, Mayrose, Itay
, Abadi, Shiran
in
631/114/2397
/ 631/114/739
/ 631/181/735
/ Bayesian analysis
/ Computer simulation
/ Criteria
/ Evolution, Molecular
/ Humanities and Social Sciences
/ Models, Genetic
/ multidisciplinary
/ Phylogeny
/ Reconstruction
/ Science
/ Science (multidisciplinary)
/ Topology
2019
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Model selection may not be a mandatory step for phylogeny reconstruction
Journal Article
Model selection may not be a mandatory step for phylogeny reconstruction
2019
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Overview
Determining the most suitable model for phylogeny reconstruction constitutes a fundamental step in numerous evolutionary studies. Over the years, various criteria for model selection have been proposed, leading to debate over which criterion is preferable. However, the necessity of this procedure has not been questioned to date. Here, we demonstrate that although incongruency regarding the selected model is frequent over empirical and simulated data, all criteria lead to very similar inferences. When topologies and ancestral sequence reconstruction are the desired output, choosing one criterion over another is not crucial. Moreover, skipping model selection and using instead the most parameter-rich model, GTR+I+G, leads to similar inferences, thus rendering this time-consuming step nonessential, at least under current strategies of model selection.
Model selection is a time-intensive step of molecular phylogenetic analysis. Here, Abadi, Azouri and colleagues show that all model selection criteria lead to similar inferences, and that for topology and ancestral sequence reconstruction, using the GTR+I+G model is as accurate.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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