Evidence map›Paper›PMID 31044163›Full record

ArticleCommunications biology2019

Population structure determines the tradeoff between fixation probability and fixation time.

Josef Tkadlec, Andreas Pavlogiannis, Krishnendu Chatterjee, Martin A Nowak

Abstract read
In one paragraph

Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Mixed updating in structured populations.PLoS computational biology · 2026
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  6. Promoters of cooperation in evolutionary games.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  9. Density amplifiers of cooperation for spatial games.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Fixation times on directed graphs.PLoS computational biology · 2024
    Article
  12. Article
  13. The speed of neutral evolution on graphs.Journal of the Royal Society, Interface · 2024
    Article
  14. Article
  15. Article
  16. Article
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  19. Evolutionary dynamics of mutants that modify population structure.Journal of the Royal Society, Interface · 2023
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  20. 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

4 authors.

Josef Tkadlec *1IST Austria, A-3400 Klosterneuburg, Austria.ORCID 0000-0002-1097-9684
Andreas Pavlogiannis *2Lab for Automated Reasoning and Analysis, EPFL, CH-1015 Lausanne, Switzerland.
Krishnendu Chatterjee1IST Austria, A-3400 Klosterneuburg, Austria.
Martin A Nowak3Program for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, Department of Mathematics, Harvard University, Cambridge, MA 02138 USA.ORCID 0000-0001-5489-0908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of biological evolution depends on the fixation probability and on the fixation time of new mutants. Intensive research has focused on identifying population structures that augment the fixation probability of advantageous mutants. But these amplifiers of natural selection typically increase fixation time. Here we study population structures that achieve a tradeoff between fixation probability and time. First, we show that no amplifiers can have an asymptotically lower absorption time than the well-mixed population. Then we design population structures that substantially augment the fixation probability with just a minor increase in fixation time. Finally, we show that those structures enable higher effective rate of evolution than the well-mixed population provided that the rate of generating advantageous mutants is relatively low. Our work sheds light on how population structure affects the rate of evolution. Moreover, our structures could be useful for lab-based, medical, or industrial applications of evolutionary optimization.

Indexed as

Genetics, PopulationPopulation DynamicsProbabilityModels, GeneticMutationSelection, GeneticEvolutionEvolutionary theory

Identifiers

PMID31044163
PMCPMC6478818

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LicenceCC BY
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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.