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. 2018 Nov 19;8:17053. doi: 10.1038/s41598-018-35399-z

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© The Author(s) 2018

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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Clustering analysis. (a) HCA dendrogram for mean sample vectors of 76 classes used in the study. Red markers show species pooled to form negative class. (b) Phylogenetic tree of the corresponding 74 species set. Dots represent classification units: genera, families etc. Drawn based on NCBI taxonomy with the help of PhyloT platfrom³⁶.