A5020511113- Evolution and Genetic Dynamics
- Microbial Community Ecology and Physiology
- Bacteriophages and microbial interactions
- Gut microbiota and health
- Plant Virus Research Studies
- Evolutionary Game Theory and Cooperation
- Genomics and Phylogenetic Studies
- Zoonotic diseases and public health
- Advanced Chemical Sensor Technologies
- Antibiotics Pharmacokinetics and Efficacy
- Machine Learning in Bioinformatics
- Pharmaceutical and Antibiotic Environmental Impacts
- Antibiotic Resistance in Bacteria
- Probiotics and Fermented Foods
- thermodynamics and calorimetric analyses
- Listeria monocytogenes in Food Safety
- Antibiotic Use and Resistance
- Plant and animal studies
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2024
University of Lausanne
2019-2024
Charité - Universitätsmedizin Berlin
2023
ETH Zurich
2017
Google (United States)
2016
Institut des Sciences de l'Evolution de Montpellier
2014
The evolution of antibiotic resistance in bacteria is a global concern and the use bacteriophages alone or combined therapies attracting increasing attention as an alternative. Evolutionary theory predicts that probability bacterial to both phages antibiotics will be lower than either separately, due for example fitness costs trade-offs between phage mechanisms growth. In this study, we assess population impacts individual treatments bacteriophage streptomycin on nosocomial pathogen...
There is increasing interest in artificially selecting or breeding microbial communities, but experiments have reported modest success and it remains unclear how to best design such a selection experiment. Here, we develop computational models simulate two previously known methods compare them new “disassembly” method that developed. Our relies on repeatedly competing different communities of species combinations against one another, sometimes changing the combinations. approach...
Abstract Artificial selection is a promising way to improve microbial community functions, but previous experiments have only shown moderate success. Here, we experimentally evaluate new method that was inspired by genetic algorithms artificially select small bacterial communities of known species composition based on their degradation an industrial pollutant. Starting from 29 randomly generated four-species communities, repeatedly grew for four days, selected the 10 best-degrading and...
Antibiotic resistance has wide-ranging effects on bacterial phenotypes and evolution. However, the influence of antibiotic responses to parasitic viruses remains unclear, despite ubiquity such in nature current interest therapeutic applications. We experimentally investigated this by exposing various Escherichia coli genotypes, including eight antibiotic-resistant genotypes a mutator, different (lytic bacteriophages). Across 960 populations, we measured changes population density sensitivity...
Understanding adaptation to complex environments requires information about how exposure one selection pressure affects others. For bacteria, antibiotics and viral parasites (phages) are two of the most common pressures both relevant for treatment bacterial infections: increasing antibiotic resistance is generating significant interest in using phages addition or as an alternative antibiotics. However, we lack knowledge responses phages. Specifically, it unclear negative effects on...
Abstract There is a need to develop faster yet precise diagnostic tools for the identification of infectious agents and their levels antimicrobial susceptibility. One such tool calorimetry, as previous studies show that bacteria display unique signatures calorimetric/metabolic activity can be used pathogen under controlled laboratory conditions. However, level variation these remains largely unexplored. Here, we use real-time isothermal microcalorimetry disentangle inter- intra-species...