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The tree topology of selected Acrocephalus species recapitulates the previously reported efforts [11], and the congruence of our tree for different methods of phylogeny reconstruction, demonstrate that the clustering of the 11 specimens with previously determined A. orinus sequence is highly reliable.
Methods of phylogeny estimation were the same for generating the baseline phylogeny (Figure 1), the phylogenies of exclusively chromosomal genes (Figure 2A) and those present on chromosomes and the pRF plasmid of R. felis (Figure 2B), and the single pRF genes (Figure 3).
First, calculating pair-wise distances is the initial step for distance-matrix methods of phylogeny reconstruction.
We have used Maximum Likelihood (ML) and Bayesian methods of phylogeny reconstruction together with the stripping of the most rapidly evolving sites in the dataset.
Confidence in estimated relationships of ML tree topologies was evaluated by a bootstrap analysis with 500 replicates [ 111] and Bayesian methods of phylogeny inference.
Neighbor-Joining, Minimum Evolution, Maximum Parsimony, UPGMA Unweighted Pair Group Methodd with Arithmetic mean) and Bayesian methods of phylogeny estimation were utilized [ 28].
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The method CGCPhy presents the highest average accuracy and the lowest standard deviation, outperforming the other four methods of phylogenies inference.
Neighbor-joining is a distance based method of phylogeny reconstruction.
In this study, we were not trying to evaluate the method of phylogeny reconstruction or to infer the "Tree of Life", if one exists [ 50].
Trees were constructed using Bayesian Inference, a probabilistic model-based method of phylogeny reconstruction that is similar to maximum likelihood but which has substantially reduced computation time.
Obtained alignment was subjected to Neighbor-Joining (NJ), Minimum-Evolution (ME) or Maximum Likelihood (ML) method of phylogeny reconstruction available in the MEGA 5.05 package.
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