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

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.

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Publication Details

Journal
Genome Biology and Evolution
Published
2024-11-18
DOI
https://doi.org/10.1093/gbe/evae250
Citations
7
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
3.85

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article

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

Jonathan Rouzaud-Cornabas, Guillaume Beslon, Juliette Luiselli, Nicolas Lartillot
7 citations
Genome Biology and Evolution
Evolution and Genetic Dynamics
3.85
article

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

Jonathan Rouzaud-Cornabas, Guillaume Beslon, Juliette Luiselli, Nicolas Lartillot
article en
7 citations

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.

Genome Biology and EvolutionVol. 16(12)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Université Lumière Lyon 2 (FR), Laboratoire de Biométrie et Biologie Evolutive (FR), Laboratoire d'Informatique en Images et Systèmes d'Information (FR)
Agence Nationale de la Recherche
Life below water
Openalex Percentile: Top 6%
Evolution and Genetic Dynamics
3.85
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