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. 2020 Jun 9;10:9279. doi: 10.1038/s41598-020-66127-1

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© The Author(s) 2020

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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Hierarchical clustering (HCLUST) and multidimensional scaling (MDS; C1, component 1; C2, component 2) based on regular allele frequencies of the analysed honey bee populations and samples. (A) HCLUST and (B) MDS based on regular allele; (C) HCLUST and (D) MDS based on allele frequencies coded as 0/0.5/1. Names are as follows: Amm, Apis mellifera mellifera; Amc, Apis mellifera carnica; Aml, Apis mellifera ligustica. The star symbols indicate hybrids populations and DNA pools (P), with related dilution ratio, as reported in the original paper by Muñoz et al.⁶⁰. The honey sample HB9 is highlighted in red.