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A neighbour-joining tree was reconstructed from the concatenated MLST alleles using the kimura-2-parameter distance measures as implemented in MEGA4 [31].
Finally, classifier performance was evaluated using receiver operating characteristic (ROC) and area under the curve (AUC) measures, as implemented in the R package pROC [ 31].
A series of structural equation models were tested to determine the structure of the genetic and environmental covariance of the five measures (as implemented in Mx 1.66) (Neale et al. 2002).
Analysis of the over-time change in clinical measures was assessed using a general linear model for repeated measures as implemented in SPSS ver 12.0.1 (SPSS Inc., Chicago Ill).
For details, see Additional File 1. Incongruence between individual partitions was evaluated in an MP framework employing variations of Bremer support measures, as implemented in Automated Simultaneous Analysis of Phylogenies [ 61], as well as with the ILD test [ 62].
All the analyses were run with the R-code provided by Vázquez et al. (2009 a ) but with modifications to include NODF and weighted nestedness measures as implemented in the bipartite (Dormann et al. 2009) package of R statistical software (R Development Core Team 2015).
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The concatenated MLST data was downloaded from http://saureus.mlst.net/and a neighbour-joining tree was reconstructed using the Kimura-2-parameter distance measure as implemented in MEGA v. 4.1 [4.1.
Hierarchical clustering of samples was performed using UPGMA with weighted UniFrac as a distance measure as implemented in QIIME v1.2.
For our analysis we applied a weighted version of this measure as implemented in the igraph package [ 38].
The individual trees were then compared using the quartet-based strict joint assertions (SJA) measure as implemented in the Component software package.
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