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. 2017 Mar 2;17:63. doi: 10.1186/s12862-017-0899-x

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© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 4 — Summary of results of the spatial analysis of molecular variance (SAMOVA) analyses of the sampled populations of Podarcis tiliguerta for each locus. The percentage of variation explained by the among-group level of variation is reported for the best-clustering option at each pre-defined value of K (the number of groups). The arrow shows the best clustering option obtained for the mtDNA dataset, whereas SAMOVA analyses based on nuclear (mc1r and acm4) dataset do not allow identifying a population grouping best explaining the data. Dashed lines represent values of K for which fixation indexes were not significant