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. 2020 Sep 11;6:32. doi: 10.1038/s41522-020-00142-y

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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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Fig. 2 — The network consisted of significant positive (blue) and negative (red) correlations between 29 core genera with a mean relative abundance >0.5% (Spearman’s rank correlation coefficient test, q ≤ 0.05). Line width is proportional to the degree of correlation, and point size is proportional to the mean relative abundance of core genera in all samples. Outer graphs show the response pattern for the core genera across pregnant stages, and a smooth curve is formed based on the relative abundance of each genus and gestational days of the sample using the function geom_smooth with the default parameters in the R platform.