In our laboratory we study the interactions between symbiotic microorganisms and the neurophysiology and behaviour of their animal hosts. We aim to: (1) identify microbes with neuroactive potential, (2) determine the ways in which they influence brain physiology, (3) quantify their effects on animal behaviour, and (4) unravel the evolutionary history of these microbiota – brain interactions. We focus on the gut microbiota of insects. In particular, we study social insects such as bees as their societies express complex (social) behaviours at the individual level and collective behaviours emerge from the interaction between cooperative individuals specializing on distinct tasks. Additionally, we use the fruit fly Drosophila melanogaster to better characterize the molecular mechanisms and neural circuitry affected by gut microbes following cross-species microbiome transplants.
For these studies we use a combination of state-of-the-art technologies including automated behavioural tracking, advanced microscopy techniques, and various -omics approaches such as (meta)genomics, (spatial) transcriptomics, epigenomics and metabolomics. We perform experimental manipulations of the microbiota to produce gnotobiotic animals (i.e., whose gut microbiota is experimentally defined), which allow us to infer causality in microbiota-host interactions and to determine the underlying molecular mechanisms. We rear bees and flies on-site and also collect wild bees in the field.
We are looking for motivated MSc students, PhD students and postdocs interested in applying microbiology, behavioural ecology and -omics approaches to investigate the ultimate and proximate mechanisms of the microbiota-gut-brain axis. We accept applications from molecular biologists, evolutionary biologists, behavioural ecologists, microbiologists, bioinformaticians, engineers and more, interested in working in a dynamic, diverse and cooperative team, and in strengthening their interdisciplinary profile.
Image credit: Bart Zijlstra
Example of automated behavioural tracking to quantify the social behaviours of bees (adapted from Liberti et al., Nature Ecology & Evolution, 2022, doi: 10.1038/s41559-022-01840-w; Copyright © 2022, The Author(s), under exclusive license to Springer Nature Limited).