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  Exploring and mapping the universe of evolutionary graphs identifies structural properties affecting fixation probability and time

Möller, M., Hindersin, L., & Traulsen, A. (2019). Exploring and mapping the universe of evolutionary graphs identifies structural properties affecting fixation probability and time. Communications Biology, 2: 137. doi:10.1038/s42003-019-0374-x.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-A45F-A Version Permalink: http://hdl.handle.net/21.11116/0000-0004-04B6-A
Genre: Journal Article

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Möller_CommBio_2019.pdf (Publisher version), 2MB
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Möller, Marius1, Author              
Hindersin, Laura1, Author              
Traulsen, Arne1, Author              
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1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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 Abstract: Population structure can be modeled by evolutionary graphs, which can have a substantial influence on the fate of mutants. Individuals are located on the nodes of these graphs, competing to take over the graph via the links. Applications for this framework range from the ecology of river systems and cancer initiation in colonic crypts to biotechnological search for optimal mutations. In all these applications, both the probability of fixation and the associated time are of interest. We study this problem for all undirected and unweighted graphs up to a certain size. We devise a genetic algorithm to find graphs with high or low fixation probability and short or long fixation time and study their structure searching for common themes. Our work unravels structural properties that maximize or minimize fixation probability and time, which allows us to contribute to a first map of the universe of evolutionary graphs.

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Language(s): eng - English
 Dates: 2018-10-302019-03-072019-04-232019
 Publication Status: Published in print
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 Identifiers: DOI: 10.1038/s42003-019-0374-x
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Title: Communications Biology
Source Genre: Journal
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Publ. Info: London : Springer Nature
Pages: - Volume / Issue: 2 Sequence Number: 137 Start / End Page: - Identifier: ISSN: 2399-3642
CoNE: https://pure.mpg.de/cone/journals/resource/2399-3642