IE Department of Evolutionary Applications
szilagyi.andras [at]
Brief description of the main scopes: 

1. Origin of life
Investigation of early evolution by analytical and in-silico models. Potential evolutionary routes to the first biological systems, prebiotic evolution. Analysis of the information integration capabilities of early biological systems.

2. Early major evolutionary transitions
Investigation of the origin of group selection, the stochastic corrector model and the RNA world. Potential evolutionary scenarios for the origin of chromosomes

3. Diversity maintaining mechanisms in ecology
The effect of environmental stochasticity and the population structure on the sustainable diversity. Analysis of diversity maintaining mechanisms in microbiome.

4. Darwinian neurodynamics
Potential roles of Darwinian dynamics in cognitive processes. Investigation of evolutionary dynamics on artificial neural networks.

Main profile in keywords: 
evolutionary biology, mathematical biology, theoretical ecology
Selected publications:


Zachar István, Szilágyi András, Számadó Szabolcs, Szathmáry Eörs (2018): Farming the mitochondrial ancestor as a model of endosymbiotic establishment by natural selection PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 115:(E1504) p. E1510.


András Szilágyi, István Zachar, Anna Fedor, Harold P de Vladar, Eörs Szathmáry (2017): Breeding novel solutions in the brain: a model of Darwinian neurodynamics F1000 Research 2017 5:2416
Szilágyi András, Zachar István, Scheuring István, Kun Ádám, Könnyű Balázs, Czárán Tamás (2017): Ecology and evolution in the RNA world: dynamics and stability of prebiotic replicator systems Life 7(4),48


Shigeyoshi Matsumura, Ádám Kun, Michael Ryckelynck, Faith Coldren, András Szilágyi, Fabrice Jossinet, Christian Rick, Philippe Nghe, Eörs Szathmáry, Andrew D Griffiths (2016): Transient compartmentalization of RNA replicators prevents extinction due to parasites Science 354(6317): pp. 1293-1296


András Szilágyi, István Zachar, Eörs Szathmáry (2013): Gause's principle and the effect of resource partitioning on the dynamical coexistence of replicating templates PLoS Computational Biology 9(8):e1003193