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. 2020 Nov 30;10:20835. doi: 10.1038/s41598-020-77831-3

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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 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 network of bacteria with metabolites in the cecum. The correlation network depicts changes in bacterial families composition and metabolites occurrence characteristic to CR. Each node represents one metabolite (ellipse) or a bacterial family-level OUT (V-shape) and each edge represents a statistically significant correlation where the Pearson’s correlation coefficient ≥ 0.8. Girven–Newman algorithm was applied in network clustering analysis where modules (clusters, denoted by different colors) depict association patterns between metabolites and bacteria. The visualization was performed with Cytoscape v3.7.2. (http://www.cytoscape.org/).