Projects
Characterisation of microbial communities and xylanolytic bacteria during malting of barley: impact on malt quality KU Leuven
ProGenius: Advanced biostimulation and -augmentation to engineer open microbial communities for the aerobic production of single-cell protein. University of Antwerp
Tree leaf surface properties as dynamic drivers of particulate matter-leaf interaction and phyllosphere microbial communities University of Antwerp
Effects of ecohydrological and management factors on microbial communities involved in rhizosphere C cycling and methane emission from natural wetlands and paddy soils Ghent University
Ecohydrological and management factors (water management and fertilization) are known to affect on the emission of CH4 from wetlands, though less information available on the microbial communities catalyzing this proces. Therefore, this project aims to analyze the effects of these factors on microbial communities in natural wetland and rice soils by Phospho Lipid Fatty Acid (PLFA) analysis.
Predicting heat wave impacts on the stability of soil microbial communities Hasselt University
Characterisation of rhizospheric and endophytic microbial communities of the Zn-hyperaccumulator Cardaminopsis halleri, the excluder C. arenosa, and the legume species Trifolium repens from old zinc and lead waste heaps in Poland Hasselt University
The genetic basis of bacterial invasion into a microbial community. A determinant for the success of microbial biotechnology. KU Leuven
The microbial ecology of industrial activated sludge plants – linking microbial data (e.g. filamentous organisms) to external factors University of Antwerp
Microbial Resource Management: investigating the microbial diversity in order to predict the ecosystem functionality Ghent University
Using the human gut as a model system, we will investigate how microbial communities - characterized by different structures and functionalities - react under changing environmental conditions and biological invasion, in order to derive predictive ecological models. We will validate the obtained results working with human microbiota-associated mouse models challenged with physiologically relevant stressors.