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. 2021 Jan 8;11:248. doi: 10.1038/s41598-020-80093-8

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© The Author(s) 2021

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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Correlation analysis identifies microbial metabolite networks that are at statistical equilibrium within maternal plasma. Images were generated in Cytoscape (version 3.7.2) using R-Cy3 (version 2.6.3), wherein the network edges represent between-node Spearman’s correlations > 0.90 (a,b) or ≥ − 0.90 (c,d); distance between nodes indicates strength of interaction. Colors as in Fig. 2; red indicates MDPs, blue indicates endogenous compounds, and green are unknown compounds. (a) Positive correlation network of metabolites in control (CONT) maternal plasma having Spearman’s values ≥ 0.90. (b) Positive correlation network of metabolites in alcohol-exposed (ALC) maternal plasma having Spearman’s values ≥ 0.90. (c) Negative correlation network of metabolites in control (CONT) maternal plasma having Spearman’s values ≥ − 0.90. (d) Negative correlation network of metabolites in alcohol-exposed (ALC) maternal plasma having Spearman’s values ≥ − 0.90. Sample size is n = 9 control and n = 8 alcohol-exposed dams.