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Bolsega, S.

Publications and source records attributed to Bolsega, S..

3 recordsLinked to original sources

Post-Weaning Gut Microbiota Colonization Reveals Divergent Recovery of Skeletal Muscle and Peripheral Nerves

We previously demonstrated that the absence of a complex gut microbiota (CGM) impairs the postnatal development of peripheral nerves and motor targets in germ-free (GF) mice. In this study, we investigated whether establishing a complex gut microbiota after weaning could reverse these developmental alterations. To address this question, GF mice were colonized with a complex gut microbiota by co-housing with conventionally raised mice. Microbiota composition, peripheral nerve morphology and transcriptional profiles, skeletal muscle proteome, neuromuscular junction architecture and circulating metabolites were comprehensively analyzed and compared with those of GF, gnotobiotic OMM12 and CGM mice. Post-weaning colonization partially restored microbial diversity and resulted in a compositionally distinct microbial community with reduced alpha diversity and enrichment of Duncaniella muris strain B8. Despite successful microbial colonization, peripheral nerve abnormalities persisted, including axon hypermyelination, transcriptional alterations in sciatic nerves, elongated nodes of Ranvier, and dysregulated axon-glia interactions. In contrast, skeletal muscle defects were largely rescued, with restoration of muscle mass, normalization of proteomic profiles, recovery of metabolic and structural pathways, and reduced fragmentation of the postsynaptic neuromuscular junction, although presynaptic abnormalities persisted. These findings demonstrate that microbiota-dependent developmental alterations differ markedly in their reversibility across the neuromuscular system. Specifically, post-weaning colonization with a complex gut microbiota resulted in broad recovery of skeletal muscle but failed to rescue peripheral nerve abnormalities. Our findings provide a framework for future studies investigating how the timing of microbial colonization, microbiota composition, and microbiota-derived signals influence the reversibility of microbiota-dependent neuromuscular alterations.

neuroscience↗

Gut microbiota within-host evolution enforces colonization resistance against enteric infection

Limited resource availability in the gut promotes competitive interactions between bacteria, which drive adaptive within-host evolution (1-3). While adaptive evolution of bacterial communities has been increasingly studied in the recent years (4-7), its functional implications for host physiology remain unknown. Here, we show that within-host evolution of the human commensal Enterococcus faecalis boosts colonization resistance to enteric Salmonella enterica serovar Typhimurium (S. Typhimurium) infection. During gut colonization, E. faecalis evolves the ability to metabolize fructoselysine, an abundant Amadori rearrangement product generated by thermal food processing. The depletion of this diet-derived nutrient prevents S. Typhimurium colonization by restricting an essential resource. This protective mechanism was conserved across independent mouse colonies and arises via diverse evolutionary trajectories, including nucleotide polymorphisms, gene amplifications, and a horizontal gene transfer event. Additionally, analysis of E. faecalis isolates from human infants revealed that adaptation to fructoselysine availability occurs in a diet-dependent manner. Isolates from infants fed with fructoselysine-rich formula were able to utilize fructoselysine, whereas those from infants fed with fructoselysine-poor breast milk were not. Conclusively, our results identify an inherent microbiome-driven self-healing mechanism, wherein bacterial evolution restores colonization resistance against enteric pathogens through evolved nutrient depletion. Understanding these evolutionary dynamics will inform microbiome-targeted approaches to prevent and treat infectious diseases by harnessing adaptive bacterial metabolism.

microbiology↗

Function-Based Selection of Synthetic Communities Enables Mechanistic Microbiome Studies

Understanding the complex interactions between microbes and their environment requires robust model systems such as synthetic communities (SynComs). We developed a functionally directed approach to generate SynComs by selecting strains that encode key functions identified in metagenomes. This approach enables the rapid construction of SynComs tailored to any ecosystem. To optimize community design, we implemented genome-scale metabolic models, providing in silico evidence for cooperative strain coexistence prior to experimental validation. Using this strategy, we designed multiple host-specific SynComs, including those for the rumen, mouse, and human microbiomes. By weighting functions differentially enriched in diseased versus healthy individuals, we constructed SynComs that capture complex host-microbe interactions. Notably, we designed an inflammatory bowel disease SynCom of 10 members that successfully induced colitis in gnotobiotic IL10-/- mice, demonstrating the potential of this method to model disease-associated microbiomes. Our study establishes a targeted framework for designing SynComs to advance mechanistic insights into host-microbe interactions. HighlightsO_LIAutomated functional selection of SynComs based on metagenomic data C_LIO_LIEcosystem-specific SynComs capture the functional landscape of microbiota C_LIO_LIColitis-inducing SynCom developed as a model for inflammatory bowel diseases C_LI

microbiology↗