Szejka, Agnes ; Drossel, Barbara (2010)
Evolution of Boolean networks under selection for a robust response to external inputs yields an extensive neutral space.
In: Physical Review E, 81 (2)
doi: 10.1103/PhysRevE.81.021908
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
We study the evolution of Boolean networks as model systems for gene regulation. Inspired by biological networks, we select simultaneously for robust attractors and for the ability to respond to external inputs by changing the attractor. Mutations change the connections between the nodes and the update functions. In order to investigate the influence of the type of update functions, we perform our simulations with canalizing as well as with threshold functions. We compare the properties of the fitness landscapes that result for different versions of the selection criterion and the update functions. We find that for all studied cases the fitness landscape has a plateau with maximum fitness resulting in the fact that structurally very different networks are able to fulfill the same task and are connected by neutral paths in network (“genotype”) space. We find furthermore a connection between the attractor length and the mutational robustness, and an extremely long memory of the initial evolutionary stage.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Szejka, Agnes ; Drossel, Barbara |
| Art des Eintrags: | Bibliographie |
| Titel: | Evolution of Boolean networks under selection for a robust response to external inputs yields an extensive neutral space |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Physical Review E |
| Jahrgang/Volume einer Zeitschrift: | 81 |
| (Heft-)Nummer: | 2 |
| DOI: | 10.1103/PhysRevE.81.021908 |
| Kurzbeschreibung (Abstract): | We study the evolution of Boolean networks as model systems for gene regulation. Inspired by biological networks, we select simultaneously for robust attractors and for the ability to respond to external inputs by changing the attractor. Mutations change the connections between the nodes and the update functions. In order to investigate the influence of the type of update functions, we perform our simulations with canalizing as well as with threshold functions. We compare the properties of the fitness landscapes that result for different versions of the selection criterion and the update functions. We find that for all studied cases the fitness landscape has a plateau with maximum fitness resulting in the fact that structurally very different networks are able to fulfill the same task and are connected by neutral paths in network (“genotype”) space. We find furthermore a connection between the attractor length and the mutational robustness, and an extremely long memory of the initial evolutionary stage. |
| Fachbereich(e)/-gebiet(e): | 05 Fachbereich Physik 05 Fachbereich Physik > Institut für Festkörperphysik (2021 umbenannt in Institut für Physik Kondensierter Materie (IPKM)) 05 Fachbereich Physik > Institut für Festkörperphysik (2021 umbenannt in Institut für Physik Kondensierter Materie (IPKM)) > Statistische Physik und komplexe Systeme |
| Hinterlegungsdatum: | 26 Okt 2010 08:28 |
| Letzte Änderung: | 26 Mär 2014 10:09 |
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