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How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models

BACKGROUND: Red Queen dynamics are defined as long term co-evolutionary dynamics, often with oscillations of genotype abundances driven by fluctuating selection in host-parasite systems. Much of our current understanding of these dynamics is based on theoretical concepts explored in mathematical mod...

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Autores principales: Schenk, Hanna, Schulenburg, Hinrich, Traulsen, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958710/
https://www.ncbi.nlm.nih.gov/pubmed/31931696
http://dx.doi.org/10.1186/s12862-019-1562-5
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author Schenk, Hanna
Schulenburg, Hinrich
Traulsen, Arne
author_facet Schenk, Hanna
Schulenburg, Hinrich
Traulsen, Arne
author_sort Schenk, Hanna
collection PubMed
description BACKGROUND: Red Queen dynamics are defined as long term co-evolutionary dynamics, often with oscillations of genotype abundances driven by fluctuating selection in host-parasite systems. Much of our current understanding of these dynamics is based on theoretical concepts explored in mathematical models that are mostly (i) deterministic, inferring an infinite population size and (ii) evolutionary, thus ecological interactions that change population sizes are excluded. Here, we recall the different mathematical approaches used in the current literature on Red Queen dynamics. We then compare models from game theory (evo) and classical theoretical ecology models (eco-evo), that are all derived from individual interactions and are thus intrinsically stochastic. We assess the influence of this stochasticity through the time to the first loss of a genotype within a host or parasite population. RESULTS: The time until the first genotype is lost (“extinction time”), is shorter when ecological dynamics, in the form of a changing population size, is considered. Furthermore, when individuals compete only locally with other individuals extinction is even faster. On the other hand, evolutionary models with a fixed population size and competition on the scale of the whole population prolong extinction and therefore stabilise the oscillations. The stabilising properties of intra-specific competitions become stronger when population size is increased and the deterministic part of the dynamics gain influence. In general, the loss of genotype diversity can be counteracted with mutations (or recombination), which then allow the populations to recurrently undergo negative frequency-dependent selection dynamics and selective sweeps. CONCLUSION: Although the models we investigated are equal in their biological motivation and interpretation, they have diverging mathematical properties both in the derived deterministic dynamics and the derived stochastic dynamics. We find that models that do not consider intraspecific competition and that include ecological dynamics by letting the population size vary, lose genotypes – and thus Red Queen oscillations – faster than models with competition and a fixed population size.
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spelling pubmed-69587102020-01-17 How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models Schenk, Hanna Schulenburg, Hinrich Traulsen, Arne BMC Evol Biol Research Article BACKGROUND: Red Queen dynamics are defined as long term co-evolutionary dynamics, often with oscillations of genotype abundances driven by fluctuating selection in host-parasite systems. Much of our current understanding of these dynamics is based on theoretical concepts explored in mathematical models that are mostly (i) deterministic, inferring an infinite population size and (ii) evolutionary, thus ecological interactions that change population sizes are excluded. Here, we recall the different mathematical approaches used in the current literature on Red Queen dynamics. We then compare models from game theory (evo) and classical theoretical ecology models (eco-evo), that are all derived from individual interactions and are thus intrinsically stochastic. We assess the influence of this stochasticity through the time to the first loss of a genotype within a host or parasite population. RESULTS: The time until the first genotype is lost (“extinction time”), is shorter when ecological dynamics, in the form of a changing population size, is considered. Furthermore, when individuals compete only locally with other individuals extinction is even faster. On the other hand, evolutionary models with a fixed population size and competition on the scale of the whole population prolong extinction and therefore stabilise the oscillations. The stabilising properties of intra-specific competitions become stronger when population size is increased and the deterministic part of the dynamics gain influence. In general, the loss of genotype diversity can be counteracted with mutations (or recombination), which then allow the populations to recurrently undergo negative frequency-dependent selection dynamics and selective sweeps. CONCLUSION: Although the models we investigated are equal in their biological motivation and interpretation, they have diverging mathematical properties both in the derived deterministic dynamics and the derived stochastic dynamics. We find that models that do not consider intraspecific competition and that include ecological dynamics by letting the population size vary, lose genotypes – and thus Red Queen oscillations – faster than models with competition and a fixed population size. BioMed Central 2020-01-13 /pmc/articles/PMC6958710/ /pubmed/31931696 http://dx.doi.org/10.1186/s12862-019-1562-5 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Schenk, Hanna
Schulenburg, Hinrich
Traulsen, Arne
How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title_full How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title_fullStr How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title_full_unstemmed How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title_short How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models
title_sort how long do red queen dynamics survive under genetic drift? a comparative analysis of evolutionary and eco-evolutionary models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6958710/
https://www.ncbi.nlm.nih.gov/pubmed/31931696
http://dx.doi.org/10.1186/s12862-019-1562-5
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