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. 2021 Jun 3;22:209. doi: 10.1186/s12882-021-02414-x

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Correlations between SCFAs and microbial indexes. The network diagram of the correlation analysis of microbial indexes and SCFAs (A), red represents SCFAs, and green microbial indexes. The color of the edge shows the correlation coefficient (red positive and blue negative)(P < 0.05). The node size represents the centrality, that is, the number of consecutive starting from it. LDA was performed to determine the difference of the SCFAs related microbial taxa in two groups (B). Significantly different bacteria with LDA scores ≥ 2.0 were diagrammed on cladogram