2005
DOI: 10.1146/annurev.ecolsys.36.102003.152633
|View full text |Cite
|
Sign up to set email alerts
|

Model Selection in Phylogenetics

Abstract: ▪ Abstract  Investigation into model selection has a long history in the statistical literature. As model-based approaches begin dominating systematic biology, increased attention has focused on how models should be selected for distance-based, likelihood, and Bayesian phylogenetics. Here, we review issues that render model-based approaches necessary, briefly review nucleotide-based models that attempt to capture relevant features of evolutionary processes, and review methods that have been applied to model se… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
252
1
2

Year Published

2009
2009
2022
2022

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 371 publications
(256 citation statements)
references
References 77 publications
1
252
1
2
Order By: Relevance
“…Briefly, the methods used in the subsequent analysis of the data are summarized. Model selection is important, and to perform well, it must strike a balance between biological realism and statistical tractability (47). To identify the model most appropriate for analyzing our data, 24 models were considered, ranging from simple (Jukes-Cantor) to complex (GTR + Γ + I; the general time-reversible model of sequence evolution with Γ-distributed rate variation across sites and an estimated proportion of invariable sites) (48).…”
Section: Methodsmentioning
confidence: 99%
“…Briefly, the methods used in the subsequent analysis of the data are summarized. Model selection is important, and to perform well, it must strike a balance between biological realism and statistical tractability (47). To identify the model most appropriate for analyzing our data, 24 models were considered, ranging from simple (Jukes-Cantor) to complex (GTR + Γ + I; the general time-reversible model of sequence evolution with Γ-distributed rate variation across sites and an estimated proportion of invariable sites) (48).…”
Section: Methodsmentioning
confidence: 99%
“…Selection of a suitable partitioning strategy and suitable models for the various partitions used the Bayesian Information Criterion (BIC) as a selection criterion (e.g., Sullivan and Joyce, 2005). The guide tree used during the entire procedure was obtained by maximum likelihood (ML) analysis of the concatenated data with a JC69 model with rate variation among sites following a discrete gamma distribution with 8 categories (JC69 + C 8 ) inferred with PhyML (Guindon and Gascuel, 2003).…”
Section: Partitioning and Model Selectionmentioning
confidence: 99%
“…Both in turn are highly dependent on the evolutionary models used in the phylogenetic analyses, especially when studying a reduced dataset of highly divergent sequences (Sullivan and Joyce, 2005;Sheffield et al, 2009). In our case, most of the nodes were stable and highly supported, regardless of the data source (nucleotide or AA), phylogenetic reconstruction method (Bayesian probabilities or ML fast algorithms), partition scheme (by gene or by codon position) or evolutionary model used (GTR+I+G, CAT or CAT-BP).…”
Section: Phylogenetic Reconstruction Of Coleopteran Subordersmentioning
confidence: 99%