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. 2021 Aug 12;11:16371. doi: 10.1038/s41598-021-95918-3

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Results of genetic differentiation from sPCA analysis. The results are presented as heatmaps where higher differentiation corresponds to positive eigenvalue score of significant global genetic structure (presented as red colour), whereas lower values are shown as blue colour. The black circles represent the unique dhole individuals from different areas of this landscape. The figure was generated using the package “adegenet” in R studio R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. (https://www.R-project.org/).