Extensive theoretical work has explained how and why complex societies evolve. However, only little is known about the genes and molecular mechanisms responsible for social phenotypes.
We have been identifying genes and mechanisms involved in the evolution of insect societies using modern genomics approaches, combining comparative genomics and transcriptomics with population genomics and behavioral experiments.
The recent 10,000-fold drop in the cost of DNA sequencing means that any lab can sequence anything - and lots of it. This brings exciting opportunities but also new challenges, in particular with regards to data handling, data analysis and visualization.
We develop innovative tools and approaches to facilitate modern biological work on established and emerging model organisms. We pay special attention to visualization and user experience.
Bees and other pollinators are essential for preserving biodiversity and ensuring agricultural yields. Reports of their declines worldwide are thus concerning. We take inspiration from biomedical approaches for understanding cancer biology and personalised medecine to improve our understanding of pollinator health. In particular, we use modern molecular tools including population genomics and gene expression analyses to understand how pollinators are affected by changing environments (e.g., pesticide exposure, habitat loss, changing climates) and their ability to cope with such changes.
We are grateful for support from our funders: