Dresden 2020 – wissenschaftliches Programm

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BP: Fachverband Biologische Physik

BP 37: Systems Biology, Evolution and Neural Networks I

BP 37.8: Vortrag

Donnerstag, 19. März 2020, 17:15–17:30, ZEU 250

Gene Expression Dynamics Determine Toxin Driven Bacterial Competition — •Alexandra Götz, Anna Weiß, Benedikt von Bronk, Andreas Mader, and Madeleine Opitz — Ludwig-Maximilians-Universität, München, Germany

Microbial community composition is greatly influenced by stochastic and deterministic bacterial interactions on the single cell level, determining stability and fate of mixed bacterial populations in a given habitat. Here, we study bacterial competition that is driven by production and release of the toxic bacteriocin ColicinE2 of Escherichia coli. In this model system, a complex regulatory network controls the expression of the toxin from the ColicinE2 operon. Using fluorescence time-lapse microscopy, we investigated how the regulatory system controls the time-point and amount of toxin released into the environment and disentangled the components responsible for toxin expression dynamics and release. Investigating several mutant strains, we determined how different regulatory modules affect gene expression noise. In a next step, we investigated the impact of noise and toxin expression dynamics on the competition of the toxin-producing bacterium with a bacterium sensitive towards the toxin. Finally, theoretical simulations allowed us to analyze the role of toxin release times and toxin amounts with regard to the bacterial competition over a broad parameter range.