Additional file 6 of Fecal microbiota transfer between young and aged mice reverses hallmarks of the aging gut, eye, and brain
Creators: name: Parker, Aimée
name: Romano, Stefano
name: Ansorge, Rebecca
name: Aboelnour, Asmaa
name: Le Gall, Gwenaelle
name: Savva, George M.
name: Pontifex, Matthew G.
name: Telatin, Andrea
name: Baker, David
name: Jones, Emily
name: Vauzour, David
name: Rudder, Steven
name: Blackshaw, L. Ashley
name: Jeffery, Glen
name: Carding, Simon R.
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified

description: Additional file 5: Figure S1. Related to Fig. 2. Iba-1+ cell density in corpus callosum is regulated by the intestinal microbiota. (A) Iba-1+ microglia were identified by immunostaining (red), nuclei counterstained with Hoechst (blue) in the corpus callosum (highlighted in cartoon) of sagittal brain sections. (B) Representative immunostaining of young, old, and aged mice, either treated with PBS only, treated with antibiotics (Abx) only, or with antibiotics followed by FMT from young, old, or aged donors. Quantified in Fig. 2. Figure S2. Related to Fig. 5. Impact of antibiotics and microbiota transfers on observed species. Number of observed bacterial species pre– and post– antibiotic treatment, post–FMT and at the end of the experiment. Pairwise comparison, Kruskal–Wallis, * = P &lt; .0001. Figure S3. Related to Fig. 6. Clustering of beta–diversity post–FMT is driven by donor age, and differential abundance of bacterial families identified pre–and post–transfer. (A) Differential abundance of bacterial families in aged mice receiving young donor microbiota, and in young mice receiving young, old, or aged donor microbiota. (B) Species enriched in the young mice receiving young donor microbiota. (C) Microbiota surviving/enriched post–antibiotics only. Figure S4. Metabolite profiles in fecal pellets estimated by (1 H)–NMR. (A) PLS–DA comparing fecal metabolite profiles (full list of metabolites in Supplementary Table S3) of young and aged groups pre– and post–heterochronic transfer estimated by NMR. (B) Specific metabolites contributing to the loading of component 1, 2, and 3 in the PLS–DA analysis. Figure S5. Behavioral testing in aged mice shows no difference between aged mice receiving young vs. aged donor FMT. (A) Novel object recognition (NOR) test and (B) Y -maze test results for: young mice (n = 11), aged mice (n = 20), aged mice+ young donor FMT (Y-FMT) (n = 10) and aged mice + aged donor FMT (A-FMT) (n = 10). Error bars denote 95% CI. Figure S6. Per-sample read numbers in metagenomic sequencing data. (A) Beeswarm plot, (B) histogram, and (C) scatter plot, depicting per-sample read numbers in trimmed and decontaminated metagenomic sequencing data. Samples from all mice from all groups. Figure S7. Bubble plot depicting variation between metagenomic samples across mice within young and aged groups pre- and post-FMT. Figure S8. Bubble plot depicting variation between metagenomic samples across mice within old groups pre- and post-FMT.