Evidence map›Paper›PMID 28630336›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

The Red Queen and King in finite populations.

Carl Veller, Laura K Hayward, Christian Hilbe, Martin A Nowak

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Evolution of noisy learning in games.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Quantitative system drift.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Evolutionary dynamics of hyperbolic language.PLoS computational biology · 2023
    Article
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  7. Review
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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

4 authors.

Carl VellerDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138; carlveller@fas.harvard.edu.ORCID 0000-0003-0629-4188
Laura K HaywardDepartment of Mathematics, Columbia University, New York, NY 10027.
Christian HilbeInstitute of Science and Technology Austria, 3400 Klosterneuburg, Austria.ORCID 0000-0001-5116-955X
Martin A NowakDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-5489-0908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In antagonistic symbioses, such as host-parasite interactions, one population's success is the other's loss. In mutualistic symbioses, such as division of labor, both parties can gain, but they might have different preferences over the possible mutualistic arrangements. The rates of evolution of the two populations in a symbiosis are important determinants of which population will be more successful: Faster evolution is thought to be favored in antagonistic symbioses (the "Red Queen effect"), but disfavored in certain mutualistic symbioses (the "Red King effect"). However, it remains unclear which biological parameters drive these effects. Here, we analyze the effects of the various determinants of evolutionary rate: generation time, mutation rate, population size, and the intensity of natural selection. Our main results hold for the case where mutation is infrequent. Slower evolution causes a long-term advantage in an important class of mutualistic interactions. Surprisingly, less intense selection is the strongest driver of this Red King effect, whereas relative mutation rates and generation times have little effect. In antagonistic interactions, faster evolution by any means is beneficial. Our results provide insight into the demographic evolution of symbionts.

Indexed as

Biological EvolutionGame TheoryMutationSymbiosisAnimalsHost-Parasite InteractionsHumansModels, BiologicalPopulation DensityPopulation DynamicsSelection, GeneticantagonismMüllerian mimicrymutualismrate of evolutionsymbiosis

Identifiers

PMID28630336
PMCPMC5502615

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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.