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Phylogenetic trees were inferred using the GARLi program (Genetic Algorithm for Rapid Likelihood Inference) [18], which employs an extensive branch-swapping protocol and optimizes the substitution model iteratively during the search.
In order to infer the Lagomorpha TRIM5α phylogeny, based on nucleotide and deduced amino acid sequences, a Maximum Likelihood method implemented on GARLI 1.0 (Genetic Algorithm for Rapid Likelihood Inference) [ 60] was used.
Phylogenetic hypotheses were constructed for each alignment using both a Bayesian (MrBayes v3.0; [ 82]) and maximum-likelihood based method (Genetic Algorithm for Rapid Likelihood Inference; GARLI; [ 83]).
Maximum likelihood inference was implemented in GARLI v.0.942 (Genetic Algorithm for Rapid Likelihood Inference) [56] also sampling 2×106 generations for multiple runs to ensure similar trees and lnL scores.
Phylogenetic analyses were performed using the program GARLI v0.951 (Genetic Algorithm for Rapid Likelihood Inference) [ 67].
We used the Multipoint Engine for Rapid Likelihood Inference (MERLIN) (Abecasis et al. 2002) package to estimate heritability.
Maximum Likelihood (ML) analyses were performed using GARLI (Genetic Algorithm for Rapid Likelihood Inference) v0.96 [ 74], with model substitution rates from Modeltest applied.
Most of our analyses were based on the maximum likelihood criterion applied to nucleotides, as implemented in GARLI (Genetic Algorithm for Rapid Likelihood Inference; version 0.951) [ 33].
To construct evolutionary relationships among the isolates, the maximum-likelihood (ML) method was implemented in the Genetic Algorithm for Rapid Likelihood Inference (GARLI) software (Zwickl 2006b).
The most likely phylogeny for each dataset was produced in Garli 2.0 (Genetic Algorithm for Rapid Likelihood Inference) [ 115], using the optimal model of evolution for each partition.
Estimates of AGPase gene trees based upon nucleotide data were obtained using the GARLI (Genetic Algorithm for Rapid Likelihood Inference) software [ 69].
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