Evidence map›Paper›PMID 25639379›Full record

ArticleEvolution; international journal of organic evolution2015

Shape matters: lifecycle of cooperative patches promotes cooperation in bulky populations.

Dusan Misevic, Antoine Frénoy, Ariel B Lindner, François Taddei

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Dusan MisevicCenter for Research and Interdisciplinarity, INSERM U1001, Medicine Faculty, site Cochin Port-Royal, University Paris Descartes, Sorbonne Paris Cité, 24, rue du Faubourg Saint Jacques, 75014, Paris, France. dule@alife.org.
Antoine Frénoy
Ariel B Lindner
François Taddei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural cooperative systems take many forms, ranging from one-dimensional cyanobacteria arrays to fractal-like biofilms. We use in silico experimental systems to study a previously overlooked factor in the evolution of cooperation, physical shape of the population. We compare the emergence and maintenance of cooperation in populations of digital organisms that inhabit bulky (100 × 100 cells) or slender (4 × 2500) toroidal grids. Although more isolated subpopulations of secretors in a slender population could be expected to favor cooperation, we find the opposite: secretion evolves to higher levels in bulky populations. We identify the mechanistic explanation for the shape effect by analyzing the lifecycle and dynamics of cooperator patches, from their emergence and growth, to invasion by noncooperators and extinction. Because they are constrained by the population shape, the cooperator patches expand less in slender than in bulky populations, leading to fewer cooperators, less public good secretion, and generally lower cooperation. The patch dynamics and mechanisms of shape effect are robust across several digital cooperation systems and independent of the underlying basis for cooperation (public good secretion or a cooperation game). Our results urge for a greater consideration of population shape in the study of the evolution of cooperation across experimental and modeling systems.

Indexed as

Biological EvolutionModels, BiologicalEcosystemGenetic FitnessGenotypePhenotypePopulation DensityPopulation DynamicsCooperationdigital evolutionmodels/simulationspatch lifecyclepopulation shapepopulation structureprisoner's dilemmapublic good

Identifiers

PMID25639379
PMCPMC4409860

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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.