Predicting bacterial evolution in complex biofilm communities

Målgruppe:Biology, Molecular Biomedicine

Microorganisms have the ability to occupy every place on our earth. From the human body to soil, where they can be found aggregated in complex communities and forming biofilms. Many studies have so far only focused on evolution of bacteria in pure cultures, but if we are to understand the driving factors behind evolution in any environment ranging from natural habitats to human infections, we need to examine adaptation and evolution in complex communities.

The aim of this project is to identify the driving factors behind co-evolution, allowing bacteria to quickly adapt and form complex communities.

Techniques: A diverse range of models will be used for experimental evolution trials. Isolated adapted bacteria identified in the evolution experiments will be further analyzed. Classical microbiology assays will be used alongside more advance techniques e.g. tagging of bacterial strains with fluorescent markers, sequencing, mutant construction and flow cytometry. The fluorescently marked strains will also be examined with confocal laser scanning microscopy to reveal the spatial organization of the bacteria within the biofilm. This project grants a unique opportunity to use a wide variety of techniques and take part in developing novel models for biofilm research.

Place: The project will take place at the Section of Microbiology at University of Copenhagen where you will be part of the group focusing on bacteria’s ability to form biofilm in complex environmental and community settings. This project is an essential part of ongoing research, why it will be a chance to be part of a dynamic discussion with some of the current leaders in this field of research.

If you are interested or have questions, you are more than welcome to contact:

Postdoc, Henriette Lyng Røder - or Associate Professor Mette Burmølle: Responses can be both in Danish or English.

Become part of a dynamic research group and take part in cutting edge research into predicting evolution.

Anvendte metoder:Tagging of bacterial strains with fluorescent markers, sequencing, mutant construction and flow cytometry
Keywords:Biofilm, Evolution, Social community interactions
Vejleder(e): Mette Burmølle and Henriette Røder