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  Suicidal Red Queen: Population dynamics and genetic drift accelerate diversity loss

Schenk, H., Schulenburg, H., & Traulsen, A. (2019). Suicidal Red Queen: Population dynamics and genetic drift accelerate diversity loss. bioRxiv. doi:10.1101/490201.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-0D29-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-0D2A-1
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490201.full(1).pdf (Preprint), 2MB
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.

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 Creators:
Schenk, Hanna1, Author              
Schulenburg, Hinrich2, Author              
Traulsen, Arne1, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              
2Max Planck Fellow Group Antibiotic Resistance Evolution, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2600692              

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Free keywords: Red Queen dynamics, host-parasite co-evolution, mathematical model, model assumptions, fine-tuning a model, literature review, population size, eco-evo feedback, diversity, extinction
 Abstract: Long term oscillations of genotype abundances in host-parasite systems are difficult to confirm experimentally. Therefore, much of our current understanding of these dynamics is based on theoretical concepts explored in mathematical models. However, the same biological assumptions can lead to very different mathematical models with diverging properties. The precise model can depend on the level of abstraction from reality, on the educational background and taste of the modeler, and on the current trends and conventions in the field. Here, we first review the current literature in the light of mathematical approaches. We then propose and compare our own framework of biologically similar, yet mathematical very different models that can all lead to host-parasite Red Queen dynamics. We highlight the different mathematical properties and use analytical and numerical tools to understand the long term dynamics. We focus on (i) the difference between deterministic and stochastic models and (ii) how ecological aspects, in our case population size, can influence the evolutionary dynamics. Our results show not only that stochastic effects can lead to extinction of subtypes, but that a changing population size speeds up this extinction. The loss of strain diversity can be counteracted with random mutations which then allow the populations to recurrently undergo fluctuating selection dynamics and selective sweeps.

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Language(s): eng - English
 Dates: 2018-12-072018-12-072019
 Publication Status: Published in print
 Pages: 17
 Publishing info: bioRxiv
 Table of Contents: -
 Rev. Method: No review
 Identifiers: DOI: 10.1101/490201
 Degree: -

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Title: bioRxiv
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Pages: 490201 Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -