Evidence map›Paper›PMID 28837573›Full record

ArticlePLoS biology2017

Spontaneous mutation rate is a plastic trait associated with population density across domains of life.

Rok Krašovec, Huw Richards, Danna R Gifford, Charlie Hatcher, Katy J Faulkner, Roman V Belavkin, Alastair Channon, Elizabeth Aston, Andrew J McBain, Christopher G Knight

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 109 citations in OpenAlex.

  1. Pyocyanin produced byAntimicrobial agents and chemotherapy · 2026
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  5. Review
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  8. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Rok KrašovecFaculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Huw RichardsFaculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Danna R GiffordFaculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.
Charlie HatcherFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Katy J FaulknerFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Roman V BelavkinSchool of Engineering and Information Sciences, Middlesex University, London, United Kingdom.
Alastair ChannonSchool of Computing and Mathematics, Keele University, Keele, United Kingdom.
Elizabeth AstonSchool of Computing and Mathematics, Keele University, Keele, United Kingdom.
Andrew J McBainFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
Christopher G KnightFaculty of Science and Engineering, The University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0001-9815-4267
University of Manchester · GBKeele University · GBMiddlesex University · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L009579/1Biotechnology and Biological Sciences Research Council BB/M020975/1Medical Research Council MR/R024936/1Wellcome Trust
6 · The paper itself

Abstract

Rates of random, spontaneous mutation can vary plastically, dependent upon the environment. Such plasticity affects evolutionary trajectories and may be adaptive. We recently identified an inverse plastic association between mutation rate and population density at 1 locus in 1 species of bacterium. It is unknown how widespread this association is, whether it varies among organisms, and what molecular mechanisms of mutagenesis or repair are required for this mutation-rate plasticity. Here, we address all 3 questions. We identify a strong negative association between mutation rate and population density across 70 years of published literature, comprising hundreds of mutation rates estimated using phenotypic markers of mutation (fluctuation tests) from all domains of life and viruses. We test this relationship experimentally, determining that there is indeed density-associated mutation-rate plasticity (DAMP) at multiple loci in both eukaryotes and bacteria, with up to 23-fold lower mutation rates at higher population densities. We find that the degree of plasticity varies, even among closely related organisms. Nonetheless, in each domain tested, DAMP requires proteins scavenging the mutagenic oxidised nucleotide 8-oxo-dGTP. This implies that phenotypic markers give a more precise view of mutation rate than previously believed: having accounted for other known factors affecting mutation rate, controlling for population density can reduce variation in mutation-rate estimates by 93%. Widespread DAMP, which we manipulate genetically in disparate organisms, also provides a novel trait to use in the fight against the evolution of antimicrobial resistance. Such a prevalent environmental association and conserved mechanism suggest that mutation has varied plastically with population density since the early origins of life.

Indexed as

Cell PlasticityEvolution, MolecularGene-Environment InteractionGenetic FitnessModels, GeneticMutation RateAnimalsAnti-Infective AgentsBiomarkersDeoxyguanine NucleotidesDNA RepairDrug Resistance, BacterialDrug Resistance, FungalEscherichia coliGene DeletionHumans8-oxodeoxyguanosine triphosphateAnti-Infective AgentsBiomarkersDeoxyguanine Nucleotides

Identifiers

PMID28837573
PMCPMC5570273
OpenAlexW2739458880

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.