Wolf‐Dietrich Hardt

The paper evaluates WISH-barcoding in Salmonella Typhimurium for in vivo population dynamics, finding wild-type strains prone to fitness-altering mutations during in vitro construction.

The paper shows how spatial structure in the gut microbiota emerges through bacterial growth in the matrix of gut content.

This study identifies D-gluconate as a key nutrient source for Salmonella during both acute and chronic infection, supporting its growth in the inflamed gut.

The paper shows that E. faecalis evolves to metabolize fructoselysine, reducing S. Typhimurium colonization by limiting a key nutrient.

The paper develops a base-editing pipeline for multi-gene knockouts in Salmonella Typhimurium, showing reduced virulence but also off-target mutations affecting fitness.

The paper uses multimutant Salmonella strains to identify SPI-2 effector functions in gut inflammation and systemic colonization, finding SopD2 and GtgE critical for mucosal pathology.

The paper shows that the gfr operon in Salmonella Typhimurium provides a fitness advantage during gut colonization by utilizing dietary Amadori compounds like fructoselysine.

The paper introduces a transcriptomic marker gene-based classifier to predict bacterial growth states across species in microbial communities.

The paper analyzes the pan-genome of nearly 20,000 Enterobacteriaceae genomes to identify core and accessory metabolic genes, revealing core genes for mixed acid fermentation and accessory genes for anaerobic respiration and carbohydrate utilization.

The paper shows that specific E. coli strains reduce Salmonella colonization by utilizing galactose, offering insights for microbiota-based infection control strategies.

This study investigates how AI-2 signaling and chemotaxis in E. coli influence its competitive interaction with Salmonella Typhimurium in the gut, affecting colonization resistance and metabolism.

This study identifies context-dependent and -independent carbohydrates used by Salmonella Typhimurium for gut colonization in mice, highlighting D-glucose, D-fructose, and D-galactose as key substrates.

mBARq simplifies the analysis of DNA barcode data from transposon libraries and isogenic strains through a user-friendly tool and web app integration.

The paper quantifies host proteome dynamics during Salmonella infection, revealing cathepsin-dependent cell death mechanisms.

This study quantifies genomic, proteomic, and phenotypic variability in HeLa cells across laboratories and passages, revealing implications for research reproducibility.