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Intensive Care Medicine Experimental
Fig. 7 | Intensive Care Medicine Experimental

Fig. 7

From: Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditions

Fig. 7

Differential septic response to inoculum between fecal slurry batches. The microbiota composition of the fecal slurry batches from 2020 (n = 3) and 2021 (n = 3) was determined using 16S rRNA amplicon sequencing. Bar plots depict the relative abundance of the top 25 bacterial genera from the 2020 batch and the 2021 batch (A). Principal coordinate analysis (PCoA) of the fecal slurry microbiota was calculated from the Bray–Curtis dissimilarity distance of CLR transformed ASVs (B). Statistical significance was determined using a permutational ANOVA (PERMANOVA). p values as shown. Taxonomic diversity as represented by C Shannon diversity and D Chao1 was calculated for individual fecal slurry samples at the ASV level and differences between the 2020 batch and 2021 batch were determined using a Wilcoxon test, p values as shown. Differential abundance analysis was performed using linear discriminant analysis effect size (LEfSe) and analysis of composition of microbiomes (ANCOM) to determine differentially abundant bacterial genera between the 2020 batch and the 2021 batch (E). Bacterial genera identified by both tools to be differentially abundant are shown here. A cladogram depiction of the bacterial taxa identified as differentially abundant between the 2020 fecal slurry batch and 2021 fecal slurry batch by LEfSe (F)

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