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. 2019 Feb 27;10:968. doi: 10.1038/s41467-019-08864-0

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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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Fig. 1 — Microbial diversity estimates. Calculations were executed in MEGAN according to the results of the BLASTx searches against NCBInr. Data of single reads were filtered (unassigned reads were removed) and normalized (randomly and repeatedly subsampled to the smallest sample size). Violin plots showing the kernel probability density of the data, including a box with the median and the interquartile range, were created in R. a Significant differences of Shannon diversity estimates of microbial communities on species level in CB (confined) and UB (unrestricted built environments). b Similar Shannon diversity estimates of microbial functions on highest SEED levels (individual functional gene levels, level 5) in CB (confined) and UB (unrestricted built environments)