Evidence map›Paper›PMID 30632605›Full record

ArticleEvolution; international journal of organic evolution2019

Migration promotes mutator alleles in subdivided populations.

Yevgeniy Raynes, Paul D Sniegowski, Daniel M Weinreich

Abstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Recent insights into the evolution of mutation rates in yeast.Current opinion in genetics & development · 2022
    Review
  4. 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

3 authors.

Yevgeniy RaynesDepartment of Ecology and Evolutionary Biology, Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, 02906.ORCID 0000-0003-1608-9479
Paul D SniegowskiDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania, 19104.
Daniel M WeinreichDepartment of Ecology and Evolutionary Biology, Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, 02906.

Funding

Division of Environmental Biology DEB-1556300
6 · The paper itself

Abstract

Mutator alleles that elevate the genomic mutation rate may invade nonrecombining populations by hitchhiking with beneficial mutations. Mutators have been repeatedly observed to take over adapting laboratory populations and have been found at high frequencies in both microbial pathogen and cancer populations in nature. Recently, we have shown that mutators are only favored by selection in sufficiently large populations and transition to being disfavored as population size decreases. This population size-dependent sign inversion in selective effect suggests that population structure may also be an important determinant of mutation rate evolution. Although large populations may favor mutators, subdividing such populations into sufficiently small subpopulations (demes) might effectively inhibit them. On the other hand, migration between small demes that otherwise inhibit hitchhiking may promote mutator fixation in the whole metapopulation. Here, we use stochastic, agent-based simulations and evolution experiments with the yeast Saccharomyces cerevisiae to show that mutators can, indeed, be favored by selection in subdivided metapopulations composed of small demes connected by sufficient migration. In fact, we show that population structure plays a previously unsuspected role in promoting mutator success in subdivided metapopulations when migration is rare.

Indexed as

Mutation RateSelection, GeneticGenome, FungalModels, GeneticPopulation DensitySaccharomyces cerevisiaeIndirect selectionmigrationmutation ratemutatorsign inversion

Identifiers

PMID30632605
PMCPMC6680344

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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.