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. 2019 Sep 23;9:13679. doi: 10.1038/s41598-019-50139-7

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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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Bacterial genera and OTUs with different relative abundance between the groups of variables under study. The significance of potential microbial fingerprints (highlighted with “*”, p-value < 0.05) were identify by the Indicator Species Analysis and the linear discriminant analysis (LDA) effect size algorithm (LEfSe), detailed in Supplementary Table S6. Only the taxa showing significant differential abundance at the genus and OTU levels by both methods were considered. For representation and due to a broad range of values, the relative abundances were Z-scaled to highlight their comparisons between groups. Taxonomic validation of the representative sequences of the selected OTUs was performed with BLASTN analysis against the NCBI non-redundant nucleotide database.