Evidence map›Paper›PMID 33591967›Full record

ArticlePLoS computational biology2021

On the importance of evolving phenotype distributions on evolutionary diversification.

Gil Jorge Barros Henriques, Koichi Ito, Christoph Hauert, Michael Doebeli

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Gil Jorge Barros HenriquesDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0040-3996
Koichi ItoDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-1470-3677
Christoph HauertDepartment of Mathematics, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-1239-281X
Michael DoebeliDepartment of Zoology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-5975-5710

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary branching occurs when a population with a unimodal phenotype distribution diversifies into a multimodally distributed population consisting of two or more strains. Branching results from frequency-dependent selection, which is caused by interactions between individuals. For example, a population performing a social task may diversify into a cooperator strain and a defector strain. Branching can also occur in multi-dimensional phenotype spaces, such as when two tasks are performed simultaneously. In such cases, the strains may diverge in different directions: possible outcomes include division of labor (with each population performing one of the tasks) or the diversification into a strain that performs both tasks and another that performs neither. Here we show that the shape of the population's phenotypic distribution plays a role in determining the direction of branching. Furthermore, we show that the shape of the distribution is, in turn, contingent on the direction of approach to the evolutionary branching point. This results in a distribution-selection feedback that is not captured in analytical models of evolutionary branching, which assume monomorphic populations. Finally, we show that this feedback can influence long-term evolutionary dynamics and promote the evolution of division of labor.

Indexed as

Biological EvolutionComputer SimulationAlgorithmsAltruismModels, GeneticPhenotypePopulation DynamicsSelection, GeneticStochastic Processes

Identifiers

PMID33591967
PMCPMC7909671

What OpenQuestion holds

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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.