Evidence map›Paper›PMID 26242601›Full record

ArticleGenome biology and evolution2015

A Model of Genome Size Evolution for Prokaryotes in Stable and Fluctuating Environments.

Piotr Bentkowski, Cock Van Oosterhout, Thomas Mock

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Linkage of nucleotide and functional diversity varies across gut bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Diversification, niche adaptation, and evolution of a candidate phylum thriving in the deep Critical Zone.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Review
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  19. Article
  20. Genome size variation withinEcology and evolution · 2023
    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.

Piotr BentkowskiSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom Present address: Institute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland bentkowski.piotr@gmail.com t.mock@uea.ac.uk.
Cock Van OosterhoutSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom.
Thomas MockSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, United Kingdom bentkowski.piotr@gmail.com t.mock@uea.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Temporal variability in ecosystems significantly impacts species diversity and ecosystem productivity and therefore the evolution of organisms. Different levels of environmental perturbations such as seasonal fluctuations, natural disasters, and global change have different impacts on organisms and therefore their ability to acclimatize and adapt. Thus, to understand how organisms evolve under different perturbations is a key for predicting how environmental change will impact species diversity and ecosystem productivity. Here, we developed a computer simulation utilizing the individual-based model approach to investigate genome size evolution of a haploid, clonal and free-living prokaryotic population across different levels of environmental perturbations. Our results show that a greater variability of the environment resulted in genomes with a larger number of genes. Environmental perturbations were more effectively buffered by populations of individuals with relatively large genomes. Unpredictable changes of the environment led to a series of population bottlenecks followed by adaptive radiations. Our model shows that the evolution of genome size is indirectly driven by the temporal variability of the environment. This complements the effects of natural selection directly acting on genome optimization. Furthermore, species that have evolved in relatively stable environments may face the greatest risk of extinction under global change as genome streamlining genetically constrains their ability to acclimatize to the new environmental conditions, unless mechanisms of genetic diversification such as horizontal gene transfer will enrich their gene pool and therefore their potential to adapt.

Indexed as

Evolution, MolecularGene-Environment InteractionGenome, MicrobialGenome SizeModels, GeneticComputer SimulationGenetic FitnessProkaryotic Cellsevolvabilityextinctiongenome size optimizationglobal changeindividual-based modelprokaryotic genome

Identifiers

PMID26242601
PMCPMC4558865

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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.