The Institute of Evolution is the largest theoretical evolutionary biology scientific centre in Hungary, with research interests spanning all levels of biological organisation. We investigate the origin of life, transitions in evolution involving large increases in complexity (including the origin of human language and cooperation), evolutionary aspects of neural networks, the relationship between learning and evolution, and evolutionary-ecological processes, with a particular focus on the dynamics of emerging infectious diseases under the impact of climate change.
- Chemical evolutionary processes before the appearance of life.
- The appearance of life on Earth, the study of processes leading to the first protocells.
- Modelling evolutionary steps involving major increases in complexity.
- Modelling the co-evolution of cooperation and communication at different levels of organization from bacterial communities to human societies.
- Investigating the mechanisms that maintain human and animal cooperation.
- Cooperation and competition in microbial communities, evolutionary ecology of microbiomes.
- Evolutionary ecology and behavioural ecology of parasites and pathogens.
- Evolutionary study of the coexistence of hosts and internal parasite species.
- Effects of climate change and environmental degradation on emerging pathogens, prevention options, the application of the DAMA (Document, Assess, Monitor, Act) protocol
- Epidemiological and ecological study of arthropod vectors, mainly ticks and of the pathogens they transmit.
- Evolutionary processes working on neural networks, and the study of the relationship between evolution and learning.
Benjamin, Auxier; Tamás, L Czárán; Duur, K Aanen. Modeling the consequences of the dikaryotic life cycle of mushroom-forming fungi on genomic conflict ELIFE. 11: -
István, Zachar; Gergely, Boza. The Evolution of Microbial Facilitation: Sociogenesis, Symbiogenesis, and Transition in Individuality FRONTIERS IN ECOLOGY AND EVOLUTION. 10: 1-20
Czégel, Dániel; Giaffar, Hamza; Tenenbaum, Joshua B.; Szathmáry, Eörs. Bayes and Darwin: How replicator populations implement Bayesian computations BIOESSAYS. 44: 1-11
Apari, Péter; Földvári, Gábor. Tick bite induced α‐gal syndrome highlights anticancer effect of allergy BIOESSAYS. 44: -
Gareth, A. Coleman; Adrián, A. Davín; Tara, A. Mahendrarajah; Lénárd, L. Szánthó; Anja, Spang; Philip, Hugenholtz; Gergely, J. Szöllősi; Tom, A. Williams. A rooted phylogeny resolves early bacterial evolution SCIENCE. 372: -