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. 2020 Jul 21;10:12035. doi: 10.1038/s41598-020-68952-w

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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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The closed eye microbiome is unaltered by the cellular fraction at baseline. (a) The alpha diversity is similar as quantified by the richness (t-test, f = 1.3, P = 0.26), evenness (t-test, f = 1.8, P = 0.19) or Shannon diversity (t-test, f = 1.9, P = 0.17) indices. (b) The beta diversity of the closed eye microbiome is unaltered by the cellular fraction as quantified by principal coordinate analysis (PCoA) of Bray–Curtis dissimilarity (PERMANOVA, R² = 0.00894 P = 0.124), redundancy analysis (RDA, variance = 4.82, f = 1.29, P = 0.152) and non-metric multidimensional scaling (NMDS, stress = 0.228). (c) Relative abundance of bacterial genera. Log₂(CSS), log₂-transformation of cumulative-sum scaling. Two-way ANOVA, *P = 0.05, **P = 0.01, ***P = 0.001. (d) Discriminant analysis of principal components. (e) Spearman network analysis at the operational taxonomic unit level. Positive correlations with a P value < 0.05 are shown as an edge with the relative size determined by the importance of the taxa to the network.