Evidence map›Paper›PMID 29138394›Full record

ArticleScientific reports2017

Critical Mutation Rate has an Exponential Dependence on Population Size for Eukaryotic-length Genomes with Crossover.

Elizabeth Aston, Alastair Channon, Roman V Belavkin, Danna R Gifford, Rok Krašovec, Christopher G Knight

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Elizabeth AstonSchool of Computing and Mathematics, Keele University, Keele, Staffordshire, UK. e.j.aston@keele.ac.uk.
Alastair ChannonSchool of Computing and Mathematics, Keele University, Keele, Staffordshire, UK.ORCID 0000-0001-9224-4931
Roman V BelavkinSchool of Engineering and Information Sciences, Middlesex University, London, UK.
Danna R GiffordFaculty of Science and Engineering, The University of Manchester, Manchester, UK.
Rok KrašovecFaculty of Science and Engineering, The University of Manchester, Manchester, UK.
Christopher G KnightFaculty of Science and Engineering, The University of Manchester, Manchester, UK.ORCID 0000-0001-9815-4267

Funding

Biotechnology and Biological Sciences Research Council BB/M020975/1Biotechnology and Biological Sciences Research Council BB/M021106/1Biotechnology and Biological Sciences Research Council BB/M021157/1
6 · The paper itself

Abstract

The critical mutation rate (CMR) determines the shift between survival-of-the-fittest and survival of individuals with greater mutational robustness ("flattest"). We identify an inverse relationship between CMR and sequence length in an in silico system with a two-peak fitness landscape; CMR decreases to no more than five orders of magnitude above estimates of eukaryotic per base mutation rate. We confirm the CMR reduces exponentially at low population sizes, irrespective of peak radius and distance, and increases with the number of genetic crossovers. We also identify an inverse relationship between CMR and the number of genes, confirming that, for a similar number of genes to that for the plant Arabidopsis thaliana (25,000), the CMR is close to its known wild-type mutation rate; mutation rates for additional organisms were also found to be within one order of magnitude of the CMR. This is the first time such a simulation model has been assigned input and produced output within range for a given biological organism. The decrease in CMR with population size previously observed is maintained; there is potential for the model to influence understanding of populations undergoing bottleneck, stress, and conservation strategy for populations near extinction.

Indexed as

Crossing Over, GeneticMutation RateAnimalsArabidopsisCaenorhabditis elegansChickensComputer SimulationDrosophila melanogasterGenetic FitnessGenome SizeHumansMammalsModels, GeneticPopulation DensitySaccharomyces cerevisiae

Identifiers

PMID29138394
PMCPMC5686101

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.