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A best-fitting nucleotide substitution model for the dataset was estimated using the Akaike information criterion (AIC) as implemented in Modeltest v3.6 [47].

The phylogenetic tree for the dataset was estimated using Bayesian statistics implemented in MrBayes 3.1.2 [ 35].

The best-fitting model of amino acid substitution for each dataset was estimated using ProtTest v2.4 (Abascal et al. 2005) under the Akaike information criterion (starting tree: tree from a preliminary ML analysis using PhyML and a LG + Γ + I model with 8 rate categories for the γ distribution).

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Pathogenicity predictions on variants identified within the analyzed dataset were estimated using MutPred [ 20], Polyphen-2 [ 21] and SNPs&GO [ 22] online software, producing 6 different scores and related prediction classes for each variant.

Phylogenetic relationships among the different members of the keratin gene family in the dataset were estimated using Bayesian and maximum likelihood approaches, as implemented in Mr. Bayes v3.1.2 [ 41] and Treefinder version March 2011 [ 42], respectively.

For ML analysis, the best-fit model of our amino acid sequence datasets was estimated using the Akaike Information Criterion AICC) using ProtTest version 2.0 [ 67].

Ancestry of the selected HapMap datasets was estimated using different AIM panels (Table  1): Corach et al. [ 36] (COR), Galenter et al. [ 5] (GAL), Halder et al. [ 37] (HAL), Kosoy et al. [ 38] (KOS), Lao et al. [ 11] (LAO), Nassir et al. [ 39] (NAS), Phillips et al. [ 13] (PHI), and the commercial DNA Test Panel from Illumina (ILU; http://www.illumina.com/products/dna_test_panel.ilmn).ilmn

When hybridization levels for the CON and NEU datasets were estimated using BAGEL, distance phylogenetic analysis recovered the MLSA tree more often, but this advantage was not seen with parsimony analysis.

The most likely number of populations in the Huia dataset of genotypes was estimated using a Bayesian clustering approach implemented in STRUCTURE [30].

In this dataset, plant species composition was estimated using 50 points along a 10-m line intercept located at the centre of each plot during peak standing biomass (early August; Bagchi and Ritchie 2010b).

This score was then applied to the validation dataset and its performance was estimated using the classical 2×2 table.

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