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. 2019 Jul 17;9:10393. doi: 10.1038/s41598-019-46535-8

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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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Ordination and heat maps. Ordinations were created using the Bray-Curtis dissimilarity matrix and the top two sources of variability were plotted. Heatmap shows the presence and absence of a taxa as compared across all breast tissue samples. (A) Breast tissue ordinations. Overall variability of 52.9% was accounted for in axes 1 and 2. The primary drivers of variability in these samples were Propionibacterium, Staphylococcus, and Altererythrobacter. (B) Breast tissue samples (x-axis) are clustered by Euclidian distance, indicating there is not any specific clustering by taxonomic presence/absence. (C) Capsule ordinations. Overall variability of 49.4% was accounted for in axes 1 and 2. The primary drivers of variability in these samples were Propionibacterium and Altererythrobacter. (D) Capsule tissue samples (x-axis) are clustered by Euclidian distance, indicating there is not any specific clustering by taxonomic presence/absence. (E) Implant ordinations. Overall variability of 46.4% was accounted for in axes 1 and 2. The primary drivers of variability in these samples were Stenotrophomonas, and Propionibacterium. (F) Implant material samples (x-axis) are clustered by Euclidian distance, indicating there is not any specific clustering by taxonomic presence/absence. (G) Skin ordinations. Overall variability of 52.2% was accounted for in axes 1 and 2. The primary drivers of variability in these samples were Propionibacterium and Altererythrobacter. (H) Skin samples (x-axis) are clustered by Euclidian distance, indicating there is not any specific clustering by taxonomic presence/absence.