Evidence map›Paper›PMID 31931696›Full record

ArticleBMC evolutionary biology2020

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

Hanna Schenk, Hinrich Schulenburg, Arne Traulsen

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. A speed limit on serial strain replacement from original antigenic sin.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. A speed limit on serial strain replacement from original antigenic sin.bioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. Coevolutionary theory of hosts and parasites.Journal of evolutionary biology · 2022
    Review
  6. Basal Parasitic Fungi in Marine Food Webs-A Mystery Yet to Unravel.Journal of fungi (Basel, Switzerland) · 2022
    Review
  7. Population size impacts host-pathogen coevolution.Proceedings. Biological sciences · 2021
    Article
  8. Review
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Hanna SchenkMax Planck Institute for Evolutionary Biology, Plön, Germany. schenk@evolbio.mpg.de.ORCID 0000-0002-7427-2290
Hinrich SchulenburgMax Planck Institute for Evolutionary Biology, Plön, Germany.
Arne TraulsenMax Planck Institute for Evolutionary Biology, Plön, Germany.
Christian-Albrechts-Universität zu Kiel · DEGerman Centre for Integrative Biodiversity Research · DEMax Planck Institute for Evolutionary Biology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Biological EvolutionGenetic DriftHost-Parasite InteractionsModels, GeneticAnimalsEcologyGame TheoryParasitesPopulation DensityPopulation DynamicsEco-evolutionary dynamicsExtinction timeHost-parasiteRed queenStabilityStochastic models

Identifiers

PMID31931696
PMCPMC6958710
OpenAlexW2905555693

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.