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  How life history can sway the fixation probability of mutants

Li, X.-Y., Kurokawa, S., Giaimo, S., & Traulsen, A. (2016). How life history can sway the fixation probability of mutants. Genetics, 203(3), 1297-1313. doi:10.1534/genetics.116.188409.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-7E77-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-7E7C-E
Genre: Journal Article

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 Creators:
Li, Xiang-Yi1, Author              
Kurokawa, Shun, Author
Giaimo, Stefano1, Author              
Traulsen, Arne1, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: demography; evolutionary dynamics; population structure; reproduction; survival
 Abstract: In this work, we study the effects of demographic structure on evolutionary dynamics, when selection acts on reproduction, survival, or both. In contrast with the previously discovered pattern that the fixation probability of a neutral mutant decreases while population becomes younger, we show that a mutant with constant selective advantage may have a maximum or a minimum of the fixation probability in populations with an intermediate fraction of young individuals. This highlights the importance of life history and demographic structure in studying evolutionary dynamics. We also illustrate the fundamental differences between selection on reproduction and on survival when age structure is present. In addition, we evaluate the relative importance of size and structure of the population in determining the fixation probability of the mutant. Our work lays the foundation for studying also density and frequency dependent effects in populations when demographic structures cannot be neglected.

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Language(s): eng - English
 Dates: 2016-02-192016-07-062016-07-062016-07
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1534/genetics.116.188409
BibTex Citekey: Li2016
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Title: Genetics
Source Genre: Journal
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Publ. Info: Genetics Society of America
Pages: - Volume / Issue: 203 (3) Sequence Number: - Start / End Page: 1297 - 1313 Identifier: ISSN: 0016-6731
CoNE: /journals/resource/954925400554