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. 2023 Jul 24;13:11981. doi: 10.1038/s41598-023-38669-7

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© The Author(s) 2023

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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Metabolic differences between active and stable bacteria. (A) Principal Component Analysis (PCA) of the 5 experimental conditions based on the metabolic profiles. As expected, the presence of antibiotic discriminates samples on both axes (PC1 and PC2). (B) Heatmap showing the metabolites that differ significantly between experimental groups (− E—without erythromycin–and + E—with erythromycin) for each strain tested (Lp^FlyG2_1.8 and Lp^NIZO2877) (two-sided t tests, p < 0.05). The compounds are ordered by the metabolite class given by the left scale. Metabolites whose pattern is conserved between strains are framed together in the upper group. The scale on the right indicates the gradient of metabolite presence (i.e., relative concentration of each metabolite detected by LC–MS method) (C) Mean ratio fold-change (plotted on a Log2 scale) of metabolites with statistically significant differences (y axis) between experimental conditions (see legend; *p < 0,001). Fold changes and p-values are provided in Supplementary Table 3.