PhD ThesisEvolutionary Fingerprints inGenome-scale NetworksMoritz Schütte2011Max Planck Instituteof Molecular Plant PhysiologyKumulative Dissertation vonMoritz Schüttegeb.: 13.08.1980Matrikelnummer: 742127ausgeführt in der Arbeitsgruppe”Systems Biology and Mathematical Modelling”am Max-Planck-Institut fürmolekulare Pflanzenphysiologiezum ThemaEvolutionary Fingerprints inGenome-scale Networkszur Erlangung des akademischen Grades”doctor rerum naturalium”(Dr. rer. nat.)in der Wissenschaftsdisziplin ”Systembiologie/Bioinformatik”an der Mathematisch-Naturwissenschaftlichen Fakultätder Universität Potsdam Published online at the Institutional Repository of the University of Potsdam: URL http://opus.kobv.de/ubp/volltexte/2012/5748/ URN urn:nbn:de:kobv:517-opus-57483 http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57483 AbstractMathematical modeling of biological phenomena has experienced increasing interest since new high-throughput technologies give access to growing amounts of molecular data. These modeling ap-proaches are especially able to test hypotheses which are not yet experimentally accessible or guidean experimental setup. One particular attempt investigates the evolutionary dynamics responsible fortoday’s composition of organisms.