Evidence map›Paper›PMID 39566106›Full record

ArticleGenome biology and evolution2024

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

Juliette Luiselli, Jonathan Rouzaud-Cornabas, Nicolas Lartillot, Guillaume Beslon

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Article in Genome biology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Juliette LuiselliINSA-Lyon, CNRS, Université Claude Bernard Lyon 1, ECL, Université Lumière Lyon 2, LIRIS UMR5205, Lyon 69621, France.ORCID 0000-0002-7854-3545
Jonathan Rouzaud-CornabasINSA-Lyon, CNRS, Université Claude Bernard Lyon 1, ECL, Université Lumière Lyon 2, LIRIS UMR5205, Lyon 69621, France.ORCID 0009-0006-6324-0716
Nicolas LartillotLaboratoire de Biométrie et de Biologie Évolutive UMR CNRS 5558, Université Claude Bernard Lyon 1, Université Lyon 1, Villeurbanne, France.ORCID 0000-0002-9973-7760
Guillaume BeslonINSA-Lyon, CNRS, Université Claude Bernard Lyon 1, ECL, Université Lumière Lyon 2, LIRIS UMR5205, Lyon 69621, France.ORCID 0000-0001-8562-0732

Funding

Agence Nationale de la Recherche ANR-20-CE02-0008
6 · The paper itself

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.

Indexed as

Genome, BacterialGenome SizeMutation RatePopulation DensityBacteriaEvolution, MolecularModels, Geneticgenome architecturegenome evolutiongenome streamliningmodelingmutation ratepopulation size

Identifiers

PMID39566106
PMCPMC11666309

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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.