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Genome Biology and Evolution
Article . 2024 . Peer-reviewed
License: CC BY
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https://doi.org/10.1101/2024.0...
Article . 2024 . Peer-reviewed
License: CC BY NC
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PubMed Central
Article . 2024
License: CC BY
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Genome Streamlining: Effect of Mutation Rate and Population Size on Genome Size Reduction

Authors: Juliette Luiselli; Jonathan Rouzaud-Cornabas; Nicolas Lartillot; Guillaume Beslon;
APC: 2,060.25 EUR

Genome Streamlining: Effect of Mutation Rate and Population Size on Genome Size Reduction

Abstract

Abstract Genome streamlining, i.e. genome size reduction, is observed in bacteria with very different life traits, including endosymbiotic bacteria and several marine bacteria, raising the question of its evolutionary origin. None of the hypotheses proposed in the literature is firmly established, mainly due to the many confounding factors related to the diverse habitats of species with streamlined genomes. Computational models may help overcome these difficulties and rigorously test hypotheses. In this work, we used Aevol, a platform designed to study the evolution of genome architecture, to test 2 main hypotheses: that an increase in population size (N) or mutation rate (μ) could cause genome reduction. In our experiments, both conditions lead to streamlining but have very different resulting genome structures. Under increased population sizes, genomes lose a significant fraction of noncoding sequences but maintain their coding size, resulting in densely packed genomes (akin to streamlined marine bacteria genomes). By contrast, under an increased mutation rate, genomes lose both coding and noncoding sequences (akin to endosymbiotic bacteria genomes). Hence, both factors lead to an overall reduction in genome size, but the coding density of the genome appears to be determined by N×μ. Thus, a broad range of genome size and density can be achieved by different combinations of N and μ. Our results suggest that genome size and coding density are determined by the interplay between selection for phenotypic adaptation and selection for robustness.

Country
France
Keywords

population size, Population Density, genome architecture, genome architecture genome evolution genome streamlining mutation rate modeling population size, mutation rate, Models, Genetic, Bacteria, modeling, genome evolution, Article, [SDV] Life Sciences [q-bio], Evolution, Molecular, Genome Size, Mutation Rate, genome streamlining, Genome, Bacterial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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