ArticleBMC evolutionary biology2020
How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models.
Article in BMC evolutionary biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 19 citations in OpenAlex.
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- A speed limit on serial strain replacement from original antigenic sin.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A speed limit on serial strain replacement from original antigenic sin.bioRxiv : the preprint server for biology · 2024Article
- A Variational Synthesis of Evolutionary and Developmental Dynamics.Entropy (Basel, Switzerland) · 2023Article
- Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022Review
- Basal Parasitic Fungi in Marine Food Webs-A Mystery Yet to Unravel.Journal of fungi (Basel, Switzerland) · 2022Review
- Population size impacts host-pathogen coevolution.Proceedings. Biological sciences · 2021Article
- Understanding evolutionary and ecological dynamics using a continuum limit.Ecology and evolution · 2021Review
- Host-parasite co-evolution and its genomic signature.Nature reviews. Genetics · 2020Review
- The dynamics of trait variance in multi-species communities.Royal Society open science · 2020Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRed 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.
resultsThe 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.
conclusionAlthough 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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