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. 2018 Jun 19;9(6):161. doi: 10.1038/s41424-018-0027-2

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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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Fig. 1 — Principal coordinate analysis visualizing differences in the bacterial microbiome between samples positive and negative for any parasite (a), multiple parasites (b), Dientamoeba fragilis (c), and Blastocystis (d). All samples are included in the analysis (n = 419). Blue dots represent samples positive in the given parasite category while negative samples are represented by red dots. The closer the dots are ordinated, the more similar the microbiome. Axes summarize the variability in the data, and the value indicates the variation captured in the axis