Evidence map›Paper›PMID 38016637›Full record

ArticleJournal of the Royal Society, Interface2023

Evolutionary dynamics of mutants that modify population structure.

Josef Tkadlec, Kamran Kaveh, Krishnendu Chatterjee, Martin A Nowak

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Colonization times in Moran process on graphs.PLoS computational biology · 2025
    Article
  2. Article
  3. Article
  4. Evolutionary dynamics of mutants that modify population structure.Journal of the Royal Society, Interface · 2023
    Article
  5. 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 TkadlecDepartment of Mathematics, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-1097-9684
Kamran KavehDepartment of Applied Mathematics, University of Washington, Seattle, WA 98195, USA.
Krishnendu ChatterjeeInstitute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria.
Martin A NowakDepartment of Mathematics, Harvard University, Cambridge, MA 02138, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural selection is usually studied between mutants that differ in reproductive rate, but are subject to the same population structure. Here we explore how natural selection acts on mutants that have the same reproductive rate, but different population structures. In our framework, population structure is given by a graph that specifies where offspring can disperse. The invading mutant disperses offspring on a different graph than the resident wild-type. We find that more densely connected dispersal graphs tend to increase the invader's fixation probability, but the exact relationship between structure and fixation probability is subtle. We present three main results. First, we prove that if both invader and resident are on complete dispersal graphs, then removing a single edge in the invader's dispersal graph reduces its fixation probability. Second, we show that for certain island models higher invader's connectivity increases its fixation probability, but the magnitude of the effect depends on the exact layout of the connections. Third, we show that for lattices the effect of different connectivity is comparable to that of different fitness: for large population size, the invader's fixation probability is either constant or exponentially small, depending on whether it is more or less connected than the resident.

Indexed as

Biological EvolutionSelection, GeneticMutationPopulation DynamicsProbabilityevolutionary graph theoryfixation probabilityMoran processspatial structure

Identifiers

PMID38016637
PMCPMC10684346

What OpenQuestion holds

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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.