Evolutionary dynamics in changing environments

Stollmeier, Frank

dc.contributor.advisor	Nagler, Jan Dr.
dc.contributor.author	Stollmeier, Frank
dc.date.accessioned	2018-06-12T09:26:29Z
dc.date.available	2018-06-12T09:26:29Z
dc.date.issued	2018-06-12
dc.identifier.uri	http://hdl.handle.net/11858/00-1735-0000-002E-E41E-3
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-6920
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc	571.4	de
dc.title	Evolutionary dynamics in changing environments	de
dc.type	doctoralThesis	de
dc.contributor.referee	Timme, Marc Prof. Dr.
dc.date.examination	2018-04-19
dc.description.abstracteng	Evolution can be understood as an optimization mechanism on the fitness function, which is defined as the reproductive success of a species. If the environmental conditions remain constant, the stationary states of the evolutionary dynamics are the phenotypes at the local maxima of the fitness function. However, a more realistic assumption is that the environmental conditions permanently change on several timescales. The temperature, for example, typically changes between day and night, between summer and winter, and due to short-term weather changes and long-term climate changes. Since the fitness of a species depends on the environmental conditions, evolution in fluctuating environments is an optimization on a temporally changing fitness function. In the first half of this thesis, we show that evolutionary games with environmental fluctuations can have a completely different dynamics than evolutionary games with constant averaged environmental conditions. In the second half, we develop a model for the evolution of shared antibiotic resistance in bacteria and a model for the adaptation of nematodes to changing temperatures to explore possibilities to experimentally test the effects of environmental fluctuations on evolution.	de
dc.contributor.coReferee	Geisel, Theo Prof. Dr.
dc.subject.eng	evolutionary dynamics	de
dc.subject.eng	evolutionary game theory	de
dc.subject.eng	payoff noise	de
dc.subject.eng	evolutionarily stable state	de
dc.subject.eng	replicator equation	de
dc.subject.eng	Moran process	de
dc.subject.eng	shared antibiotic resistance	de
dc.subject.eng	temperature adaptation	de
dc.subject.eng	nematodes	de
dc.identifier.urn	urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E41E-3-5
dc.affiliation.institute	Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)	de
dc.subject.gokfull	Biologie (PPN619462639)	de
dc.identifier.ppn	1024415228

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Das Dokument erscheint in:

GGNB - Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften [1115]
GGNB - Göttingen Graduate Center for Neurosciences, Biophysics and Molecular Biosciences

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