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. 2022 Dec 15;10:227. doi: 10.1186/s40168-022-01413-w

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© The Author(s) 2022

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. 8 — Various aspects involved in the resistance against Rs. A Effects of Cra20 and KT2440 on the expression of Rs GMI1000 virulence genes. EPSs-related genes: EpsA, EpsE, and EpsF. Drug-proton antiporter gene: cel. Motility-related genes: pilQ, fliT, and motA. T3SS-related genes: AWR, PhcA, hrpB, hrcC, hrcV, hrpG, hapB, and hpaP. The relative absolute abundances of these genes were normalized to that of the 16S rRNA gene. The relative quantity of each gene was normalized to the control. Each bar height indicates the mean abundance of a gene, and each error bar indicates standard error of mean (n = 4). The significance level was calculated using two-way ANOVA with Turkey correction (*P < 0.05; **P < 0.01; ***P < 0.001). B PCA plot based on the top 500 genes ordered by FPKM. C Heatmap of the DEGs. D Bubble plot of KEGG functional enrichment. The numbers in parentheses indicate the total number of DEGs with KEGG annotations. GeneRatio indicates the ratio of DEGs in a pathway to the total number of DEGs with KEGG annotations in the cluster