<p>Phylogram (50% majority rule consensus tree) from a Bayesian inference analysis of the 568 bp DNA sequence alignment of the mitochondrial <i>ND2</i> gene showing deep divergences among and low differences within species of the <i>B. minima</i> group. Species of the northern clade (<i>B. tuberculata</i> plus the four new species described herein) are marked in colour. The tree was rooted with <i>Brookesia nasus</i>, and including <i>B. brygooi</i> and <i>B. superciliaris</i> as hierarchical outgroups (not shown). A, B and C refer to major clades as discussed in the text. Inset maps show known distribution ranges (typically single localities) of all species. Asterisks denote posterior probabilities of 1.0.</p
<p>The following four methods were used for the 68 shared genes data set: Bayesian inference (BI), m...
<p>The tree represents 30 unique <i>Morethia boulengeri</i> haplotypes from 471 bp of mitochondrial ...
<p>The following phylogenies were reconstructed using maximum likelihood and Bayesian inference of a...
<p>Consensus phylogeny obtained using ML and Bayesian analyses on 14 concatenated mitochondrial gene...
<p>Numbers on branches represent the posterior probabilities for BI (x100) and bootstrap values for ...
<p>The tree shows the results for Bayesian Inference (BI) and Maximum Likelihood (ML) analyses. Post...
<p><b>Copyright information:</b></p><p>Taken from "The complete mitochondrial genome of (Chelicerata...
The branch lengths are determined with ML analysis. The Strongylocentrotus purpuratus and Paracentro...
<p>A) mitochondrial gene tree (COI and 16S), B) nuclear gene tree (18S), C) topology for Bodega Bay ...
<p>Clade posterior probabilities are indicated on branches (*>90%; **>98%). Symbols on the clades ar...
<p>Bayesian 50% majority-rule consensus tree. Nodes with bootstrap support ≥75% and posterior probab...
<p>Bayesian 50% majority-rule consensus tree. Nodes with bootstrap support ≥75% and posterior probab...
<p>Values on branches correspond to values for BI (x100) and bootstrap values for ML (1000 replicate...
<p>Statistical support for clades are indicated at each node: posterior probabilities from Bayesian ...
International audienceInferring the relationships among Bilateria has been an active and controversi...
<p>The following four methods were used for the 68 shared genes data set: Bayesian inference (BI), m...
<p>The tree represents 30 unique <i>Morethia boulengeri</i> haplotypes from 471 bp of mitochondrial ...
<p>The following phylogenies were reconstructed using maximum likelihood and Bayesian inference of a...
<p>Consensus phylogeny obtained using ML and Bayesian analyses on 14 concatenated mitochondrial gene...
<p>Numbers on branches represent the posterior probabilities for BI (x100) and bootstrap values for ...
<p>The tree shows the results for Bayesian Inference (BI) and Maximum Likelihood (ML) analyses. Post...
<p><b>Copyright information:</b></p><p>Taken from "The complete mitochondrial genome of (Chelicerata...
The branch lengths are determined with ML analysis. The Strongylocentrotus purpuratus and Paracentro...
<p>A) mitochondrial gene tree (COI and 16S), B) nuclear gene tree (18S), C) topology for Bodega Bay ...
<p>Clade posterior probabilities are indicated on branches (*>90%; **>98%). Symbols on the clades ar...
<p>Bayesian 50% majority-rule consensus tree. Nodes with bootstrap support ≥75% and posterior probab...
<p>Bayesian 50% majority-rule consensus tree. Nodes with bootstrap support ≥75% and posterior probab...
<p>Values on branches correspond to values for BI (x100) and bootstrap values for ML (1000 replicate...
<p>Statistical support for clades are indicated at each node: posterior probabilities from Bayesian ...
International audienceInferring the relationships among Bilateria has been an active and controversi...
<p>The following four methods were used for the 68 shared genes data set: Bayesian inference (BI), m...
<p>The tree represents 30 unique <i>Morethia boulengeri</i> haplotypes from 471 bp of mitochondrial ...
<p>The following phylogenies were reconstructed using maximum likelihood and Bayesian inference of a...