Biology subjects

de Vos, M. G.

Publications and source records attributed to de Vos, M. G..

4 recordsLinked to original sources

bioRxiv2025

Pyocyanin produced by Pseudomonas aeruginosa Creates Legacy Effects That Boost Antibiotic Resistance Evolution in Enterococci

Polymicrobial infections are small communities of multiple interacting bacterial species. Interactions among constituent species may modify the growth of community members in the presence of antibiotics, for example via degradation of the antibiotic or induction of specific resistance mechanisms. However, for most polymicrobial infections the nature of such interactions is opaque, while they may affect both treatment efficacy and the evolution of antibiotic resistance. Here, we describe that past interaction of enterococci with Pseudomonas aeruginosa creates legacy effects that substantially alter their antibiotic tolerance and resistance evolution. Specifically, we find that the temporary exposure to pyocyanin, a secondary metabolite produced by P. aeruginosa, increases the efflux in enterococci. These tolerance legacy effects promote the evolution of antibiotic resistance of enterococci. This work shows that transient interactions in polymicrobial communities can alter the evolutionary fate of community members.

microbiology↗

bioRxiv2025

Additive effects of environmental and demographic variation shape the repeatability of evolution across replicated experiments

The repeatability of evolution is fundamentally important for understanding the origin and diversification of life as well as for developing evolutionary forecasting tools. Repeatability is limited by stochasticity, here defined as changes that are independent of genotypic fitness effects. Over short timescales, the two main sources of stochasticity of evolutionary change are environmental stochasticity and demographic (life-history) stochasticity. Quantifying the relative importance of these two sources of stochasticity in driving fitness outcomes is crucially important for predicting evolutionary responses. To gain insights in the effects of stochasticity, five institutes replicated an evolutionary experiment exposing Caenorhabditis elegans to novel rearing conditions. Replication across the institutes led to variation in selective environments, e.g. through divergent microbiomes among institutes. Replication within institutes was done across demographic treatments that influence the potential for population-size dependent fluctuations in allele frequencies (drift) and genetic hitchhiking (draft). We found high among-institute variation in fitness outcomes, which was partially explained by variation in microbiota. Whereas lab-specific effects explained most of the variance in mean fitness, the repeatability of fitness outcomes depended more on demographic heterogeneity. Specifically, population bottlenecks resulted in high among-replicate variation in fitness. When combined, environmental and demographic stochasticity additively reduced repeatability, underlining their additive importance in developing evolutionary forecasting tools. These results further highlight the importance of statistically integrating heterogeneity in experimental evolution to identify factors constraining outcome repeatability and study replicability.

evolutionary biology↗

bioRxiv2025

SimUrine: A Novel, Fully Defined Artificial Urinary Media for Enhanced Microbiological Research of Urinary Bacteria

Urinary tract infections represent one of the most prevalent bacterial diseases, yet current diagnostic and research methodologies are hampered by inadequate culture media that fail to replicate the bladder biochemical environment. Conventional artificial urine formulations contain undefined components, lack essential nutrients, or inadequately support urinary microbiome (urobiome) growth. To address these limitations, we developed SimUrine, a fully defined synthetic urine medium that aims to replicate human bladder chemistry while supporting diverse microbial growth requirements. SimUrine was systematically developed through iterative optimization of multi-purpose artificial urine, incorporating defined concentrations of carbon sources, vitamins, trace elements, and amino acids within physiologically relevant ranges. The modular design enables component substitution without complete reformulation, facilitating customization for culturomics, antimicrobial susceptibility testing, and microbial ecology studies, while reducing batch-to-batch variability associated with authentic urine. Performance evaluation demonstrated SimUrines capability to support growth of fastidious urobiome members, including Lactobacillus species, Aerococcus urinae, and Corynebacterium riegelii, which fail to proliferate in conventional minimal media. Physicochemical characterization confirmed that SimUrine formulation exhibits properties within normal human urine ranges for density, conductivity, osmolarity, and viscosity, ensuring physiological relevance. Clinical applications revealed reduced antibiotic susceptibility compared to standard media, suggesting more accurate representation of in vivo conditions. Co-culture experiments using Escherichia coli and Enterococcus faecalis demonstrated previously unobserved microbial interactions, highlighting SimUrines utility for investigating urobiome dynamics. SimUrine represents a significant advancement in urobiome research methodology, providing a standardized, reproducible platform for investigating urobiome under physiologically relevant conditions, potentially improving fundamental understanding and clinical diagnostic approaches. IMPORTANCEUrinary tract infections affect millions globally, yet current research and diagnostic methods rely on inadequate culture media that fail to replicate the bladders unique biochemical environment. This fundamental limitation has hindered accurate UTI research and potentially compromised clinical treatment decisions. SimUrine addresses this critical gap as the first fully defined synthetic urine medium that mimics human bladder chemistry while supporting growth of diverse urinary microbes. The breakthrough enables cultivation of urobiome organisms in a minimal medium that resembles natural conditions, revealing novel microbial interactions that influence urinary health. Crucially, SimUrine demonstrates different antimicrobial susceptibility patterns compared to standard clinical media, suggesting current testing protocols may inaccurately predict treatment outcomes. This standardized, reproducible platform eliminates the variability of authentic urine samples while maintaining physiological relevance, potentially transforming urobiome research methodology and improving clinical diagnostic accuracy for urinary tract infections worldwide.

microbiology↗

bioRxiv2025

When things add up: environmental structure and microbial interactions drive antibiotic-resistance plasmid evolution

Background and objectivesAntimicrobial resistance is a major global health threat, driven in part by the rapid evolution of resistance in pathogens, which undermines the effectiveness of antimicrobial treatment. In infections, pathogens rarely live in a well-mixed, single species environment. It is an open question how microbial interactions in contrasting environmental structures affect plasmid mediated antibiotic resistance evolution. MethodologyThis study investigates how a spatially structured versus a well-mixed liquid environment, together with microbial interactions, affect antibiotic resistance evolution in uropathogenic Escherichia coli. We conducted a serial transfer experiment under increasing concentrations of trimethoprim-sulfamethoxazole comparing resistance evolution in the well-mixed and spatially structured environments, both in the presence and absence of a polymicrobial community. ResultsOur results revealed that E. coli in community context displayed parallel evolutionary trajectories, leading to higher final antibiotic tolerance, while the spatial structure allowed for prolonged resistance evolution. Copy number variation of the plasmid-borne resistance locus varied significantly across conditions; E. coli evolved in the well-mixed, monoculture conditions, exhibited the greatest increases in copy number, whereas lineages evolved in the presence of the community showed minimal changes relative to the ancestor. Conclusions and implicationsThese findings underscore the complex interplay between the genetic basis of resistance, the environmental structure and microbial ecology in shaping plasmid-mediated antimicrobial resistance evolution. Lay summaryAntibiotic resistance depends on environmental context, microbial interactions, and genetics. This study shows that E. coli evolved resistance differently in mixed versus structured environments, with changes in plasmid-borne resistance gene copy number. Community interactions led to similar evolutionary paths and higher tolerance, while well-mixed, single-species conditions drove larger genetic changes.

microbiology↗