Evidence map›Paper›PMID 35078994›Full record

ArticleNature communications2022

The evolution of mechanisms to produce phenotypic heterogeneity in microorganisms.

Guy Alexander Cooper, Ming Liu, Jorge Peña, Stuart Andrew West

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.2field-weighted citation impact, top 37% of its field
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

15 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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  3. Larger colony sizes favour greater division of labour between queens and workers in ants.Evolution; international journal of organic evolution · 2026
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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 at 2 institutions in 3 countries.

Guy Alexander CooperSt. John's College, Oxford, OX1 3JP, UK. guy.cooper@zoo.ox.ac.uk.ORCID 0000-0002-1748-8183
Ming LiuDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.
Jorge PeñaInstitute for Advanced Study in Toulouse, University of Toulouse Capitole, 31080, Toulouse, Cedex 6, France.ORCID 0000-0002-4137-1823
Stuart Andrew WestDepartment of Zoology, University of Oxford, Oxford, OX1 3SZ, UK.ORCID 0000-0003-2152-3153
University of Oxford · GBUniversité Toulouse-I-Capitole · FR

Funding

European Research Council 834164
6 · The paper itself

Abstract

In bacteria and other microorganisms, the cells within a population often show extreme phenotypic variation. Different species use different mechanisms to determine how distinct phenotypes are allocated between individuals, including coordinated, random, and genetic determination. However, it is not clear if this diversity in mechanisms is adaptive-arising because different mechanisms are favoured in different environments-or is merely the result of non-adaptive artifacts of evolution. We use theoretical models to analyse the relative advantages of the two dominant mechanisms to divide labour between reproductives and helpers in microorganisms. We show that coordinated specialisation is more likely to evolve over random specialisation in well-mixed groups when: (i) social groups are small; (ii) helping is more "essential"; and (iii) there is a low metabolic cost to coordination. We find analogous results when we allow for spatial structure with a more detailed model of cellular filaments. More generally, this work shows how diversity in the mechanisms to produce phenotypic heterogeneity could have arisen as adaptations to different environments.

Indexed as

Adaptation, PhysiologicalBiological EvolutionBiological Variation, PopulationComputer SimulationCyanobacteriaGenetic FitnessMicrobial InteractionsModels, GeneticPhenotypeSelection, Genetic

Identifiers

PMID35078994
PMCPMC8789899
OpenAlexW3101433868

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.