Additional file 1 of Glycerol and reuterin-producing Limosilactobacillus reuteri enhance butyrate production and inhibit Enterobacteriaceae in broiler chicken cecal microbiota PolyFermS model
Creators: name: Asare, Paul Tetteh
name: Greppi, Anna
name: Geirnaert, Annelies
name: Pennacchia, Alessia
name: Babst, Angela
name: Lacroix, Christophe
Publisher: name: figshare
Year: 2023
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Hematology

description: Additional file 1: Table S1. Primers used for the detection of bacterial groups by qPCR and for the PCR amplification step of 16S rRNA amplicon Illumina sequencing. Figure S1. Daily metabolite concentrations in the effluent of control and treatment reactors during F1 measured by HPLC-IR: control reactor) (A), 50 mM glycerol (50G) supplementation (B), and 100 mM glycerol (100G) supplementation (C). Lactate was below detection limit. Figure S2. Daily metabolite concentrations in the effluent of control and treatment reactors during F2 measured by HPLC-IR: control reactor) (A), L. reuteri (Lbr) supplementation (B), 100 mM glycerol (100G) supplementation (C), and L. reuteri and 100 mM glycerol (Lbr-100G) supplementation (D). Lactate was below detection limit. Figure S3. Daily metabolite concentrations in the effluent of control and treatment reactors during F3 measured by HPLC-IR: control reactor) (A), L. reuteri (Lbr) supplementation (B), 100 mM glycerol (100G) supplementation (C), and L. reuteri and 100 mM glycerol (Lbr-100G) supplementation (D). Lactate was below detection limit. Figure S4. Daily quantification of key bacterial populations in the effluent of control and treatment reactors during F1 measured by qPCR: control reactor) (A), 50 mM glycerol (50G) supplementation (B), and 100 mM glycerol (100G) supplementation (C). Figure S5. Daily quantification of key bacterial populations in the effluent of control and treatment reactors during F2 measured by qPCR: control reactor) (A), L. reuteri (Lbr) supplementation (B) 100 mM glycerol (100G) supplementation (C), and L. reuteri and 100 mM glycerol (Lbr-100G) supplementation (D). Figure S6. Daily quantification of key bacterial populations in the effluent of control and treatment reactors during F3 measured by qPCR: control reactor) (A), L. reuteri (Lbr) supplementation (B) 100 mM glycerol (100G) supplementation (C), and L. reuteri and 100 mM glycerol (Lbr-100G) supplementation (D). Figure S7. Genus taxa with differential relative abundance in reactor effluent during treatment compared to pre-treatment (DeSeq2 analysis) in modelled cecal microbiota F2. Taxa are ordered according to log2 fold-change. Each ASV affected for a given genus is indicated with a dot. Dots are coloured according to phylum with the color code in the graph legend. Only taxa with more than 2 log2 fold-change and which are significantly differentially abundant (LRT, P ≤ 0.05) are shown. CR, Control reactor; 100G, 100 mM glycerol ; Lbr, L. reuteri PTA5_F13; Lbr-100G, L. reuteri PTA5_F13 and 100 mM glycerol. Figure S8. Genus taxa with differential relative abundance in reactor effluent during pre-treatment compared with treatment (DeSeq2 analysis) in modelled cecal microbiota F3. Taxa are ordered according to log2 fold-change. Each ASV affected for a given genus is indicated with a dot. Dots are coloured according to their phylum with the color code in the graph legend. Only taxa with at least 2 log2 fold-change and which are significantly differentially abundant (LRT, P ≤ 0.05) are shown. CR, Control reactor; 100G, 100 mM glycerol ; Lbr, L. reuteri PTA5_F13; Lbr-100G, L. reuteri PTA5_F13 and 100 mM glycerol.