Marjon G. J. de Vos

This paper uses metabolomics co-variation networks to analyze urobiome-pathogen interactions, identifying keystone species and emergent pathogen states in a synthetic urobiome model.

This paper introduces an expanded urine culturing workflow to recover diverse urobiome isolates from postmenopausal women, enabling better characterization of previously underrepresented taxa.

The paper analyzes cross-study metagenomics data to identify microbial signatures associated with urinary tract infections and their genomic variation.

This study shows that environmental and demographic variation additively reduce the repeatability of evolution in replicated experiments with Caenorhabditis elegans.

The paper introduces SimUrine, a fully defined synthetic urine medium that supports diverse urinary microbiome growth and reveals novel microbial interactions and antimicrobial susceptibility patterns.

The paper shows that exposure to pyocyanin from Pseudomonas aeruginosa increases antibiotic resistance evolution in enterococci through efflux mechanisms.

This study shows how environmental structure and microbial interactions influence antibiotic resistance plasmid evolution in E. coli, with community contexts leading to higher tolerance and structured environments allowing prolonged resistance evolution.

This study shows that microbial interactions influence the rate and trajectory of antibiotic resistance evolution in uropathogens.

The paper investigates how polymicrobial communities affect conjugation rates of uropathogenic E. coli in artificial urine medium, finding that Gram-positive enterococci enhance conjugation rates.