Swabbing leaves

Evolutionary Community Ecology

Humans are increasingly interacting with wildlife and this creates opportunities for pathogen transmission. Indeed, emerging zoonotic disease are an increasing threat to human health and most of these diseases have their origins in wildlife. Microorganisms and their associated diseases also influence animal populations’ persistence and conservation, with some spilling over to animals from humans as well. The ‘Evolutionary Community Ecology’ research group explores how the changing composition of animal communities has cascading impacts on their microbial communities, diseases, and rates of transmission, including to humans. The department is located at the Helmholtz Institute for One Health.

Dr Jan Frederik Gogarten

Head

Dr Jan Frederik Gogarten
Research Group Leader

Our Research

Swabbing leaves
Swabbing leaves to obtain vertebrate eDNA in the Greifswald Botanical Garden

Human activities are reshaping the planet at unprecedented speed. As temperatures rise and natural habitats shrink, animal communities are shifting, with cascading effects on behaviour, ecology, and the rich microbial worlds animal’s host. Because species interact through social ties, trophic links, and shared vectors, microorganisms can move within and between species—including humans, who are increasingly embedded in these networks. Most emerging infectious diseases originate in wildlife, while pathogens also flow from humans to animals, affecting conservation and population persistence. The Evolutionary Community Ecology group studies how changes in animal communities reshape their microbial communities, disease dynamics, and pathogen transmission—including spillover risks to people.

New theoretical and practical advances in community ecology now allow us to disentangle processes acting from within hosts to landscape and regional scales. Our group develops flexible modelling frameworks and applies evolutionary and phylogenetic tools to reveal how communities assemble, how microorganisms interact, and how hosts and pathogens switch or codiverge. By integrating eDNA and other high-throughput approaches, we generate local data on biodiversity, microbial composition, and transmission to better quantify context-specific disease risks—moving beyond simple, universal rules linking biodiversity and health. These insights help inform effective, sustainable strategies for managing disease emergence in a rapidly changing world.