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. 2019 Dec 23;9:19714. doi: 10.1038/s41598-019-55855-8

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© The Author(s) 2019

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Principal component analysis (PCA) constructed using the information from all five markers simultaneously. Eigenvalues corresponding to the represented components are filled in black. Points represent genotypes and inertia ellipses are placed in 95%. Sampling locations are represented by the colors: red for MCh-1, dark red for MCh-2, blue for ME-1, yellow for MG-1, gold for MG-2 and black for MT-1.