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. 2022 Apr 26;12:6807. doi: 10.1038/s41598-022-10933-2

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© The Author(s) 2022

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Diversity analysis. (a) Alpha diversity indexes boxplots between both cohorts (IVF vs spontaneous). Different indexes are shown. Using two-sided Wilcoxon’s test followed by a P value adjustment using Bonferroni’s correction with 5% FDR. Boxes show median and interquartile range. (b) Beta diversity. Principal coordinates analysis (PCOA) between IVF and spontaneous cohorts. The figure shows the three-dimensional diagram of PCOA, in which each dot represents a sample, and each colour represents a group: red for spontaneous pregnancy group and blue for IVF group. PC1 is the principal coordinate component causing the largest difference in samples, with an explanatory value of 37.02%. PC2 and PC3 were next, with an explanatory value of 11.63% and 9.47%, respectively.