• Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
Item View 
  •   Home
  • Zentren & Graduiertenschulen
  • GGNB - Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften
  • Item View
  •   Home
  • Zentren & Graduiertenschulen
  • GGNB - Göttinger Graduiertenzentrum für Neurowissenschaften, Biophysik und molekulare Biowissenschaften
  • Item View
JavaScript is disabled for your browser. Some features of this site may not work without it.

Evolutionary dynamics in changing environments

by Frank Stollmeier
Doctoral thesis
Date of Examination:2018-04-19
Date of issue:2018-06-12
Advisor:Dr. Jan Nagler
Referee:Prof. Dr. Marc Timme
Referee:Prof. Dr. Theo Geisel
crossref-logoPersistent Address: http://dx.doi.org/10.53846/goediss-6920

 

 

Files in this item

Name:thesis.pdf
Size:6.93Mb
Format:PDF
ViewOpen

The following license files are associated with this item:


Abstract

English

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.
Keywords: evolutionary dynamics; evolutionary game theory; payoff noise; evolutionarily stable state; replicator equation; Moran process; shared antibiotic resistance; temperature adaptation; nematodes
 

Statistik

Publish here

Browse

All of eDissFaculties & ProgramsIssue DateAuthorAdvisor & RefereeAdvisorRefereeTitlesTypeThis FacultyIssue DateAuthorAdvisor & RefereeAdvisorRefereeTitlesType

Help & Info

Publishing on eDissPDF GuideTerms of ContractFAQ

Contact Us | Impressum | Data Protection Information
Göttingen State and University Library | Göttingen University