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. 2017 May 26;34(9):2324–2339. doi: 10.1093/molbev/msx169

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© The Author 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Fig. 6. — Principal component analysis (PCA) computed in SVS on the 25 k SNP data set and on the 192, 96, 48 SNPs with the highest wolf-dog F_ST values. For each data set, PC1 versus PC2 are indicated (axes are not to scale), and the overall F_ST distribution for the 25 k data set is represented in the histogram. Yellow dots indicate dogs, blue dots nonadmixed wolves, light blue dots admixed wolves (Admixtureq_w < 0.999). The power of the top 48 SNPs is comparable to that of the 25 k data set, indicating that they can be used as reliable ancestry-informative-markers (AIMs), although no clear subdivision could be traced between some of the admixed and the nonadmixed wolves.