Evidence map›Paper›PMID 30271952›Full record

ArticleCommunications biology2018

Construction of arbitrarily strong amplifiers of natural selection using evolutionary graph theory.

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

Abstract read
In one paragraph

Article in Communications biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

37 citing papers in PubMed.

  1. Mixed updating in structured populations.PLoS computational biology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Promoters of cooperation in evolutionary games.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  8. 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. Fixation times on directed graphs.PLoS computational biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Evolutionary dynamics of mutants that modify population structure.Journal of the Royal Society, Interface · 2023
    Article
  15. Article
  16. Article
  17. Fixation dynamics on hypergraphs.PLoS computational biology · 2023
    Article
  18. Article
  19. Suppressors of fixation can increase average fitness beyond amplifiers of selection.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  20. Evolution of cooperation with asymmetric social interactions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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.

Andreas PavlogiannisIST Austria, A-3400, Klosterneuburg, Austria.
Josef TkadlecIST Austria, A-3400, Klosterneuburg, Austria.
Krishnendu ChatterjeeIST Austria, A-3400, Klosterneuburg, Austria.
Martin A NowakProgram for Evolutionary Dynamics, Department of Organismic and Evolutionary Biology, Department of Mathematics, Harvard University, Cambridge, MA, 02138, USA. martin_nowak@harvard.edu.ORCID http://orcid.org/0000-0001-5489-0908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of the intrinsic randomness of the evolutionary process, a mutant with a fitness advantage has some chance to be selected but no certainty. Any experiment that searches for advantageous mutants will lose many of them due to random drift. It is therefore of great interest to find population structures that improve the odds of advantageous mutants. Such structures are called amplifiers of natural selection: they increase the probability that advantageous mutants are selected. Arbitrarily strong amplifiers guarantee the selection of advantageous mutants, even for very small fitness advantage. Despite intensive research over the past decade, arbitrarily strong amplifiers have remained rare. Here we show how to construct a large variety of them. Our amplifiers are so simple that they could be useful in biotechnology, when optimizing biological molecules, or as a diagnostic tool, when searching for faster dividing cells or viruses. They could also occur in natural population structures.

Identifiers

PMID30271952
PMCPMC6123726

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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.