ArticleGenetics2017
Recombination-Driven Genome Evolution and Stability of Bacterial Species.
Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Epidemiology and Genetic Diversity ofPathogens (Basel, Switzerland) · 2025Article
- Unique genetic bases of repeated life-history divergence associated with high altitude adaptation inbioRxiv : the preprint server for biology · 2025Article
- A genome-wide investigation ofFrontiers in microbiology · 2025Article
- Microbial diversity and ecological complexity emerging from environmental variation and horizontal gene transfer in a simple mathematical model.BMC biology · 2024Article
- Dynamics of bacterial recombination in the human gut microbiome.PLoS biology · 2024Article
- Microbial diversity and ecological complexity emerging from environmental variation and horizontal gene transfer in a simple mathematical model.bioRxiv : the preprint server for biology · 2024Article
- Evolutionary ecology of microbial populations inhabiting deep sea sediments associated with cold seeps.Nature communications · 2023Article
- Nutrition or nature: using elementary flux modes to disentangle the complex forces shaping prokaryote pan-genomes.BMC ecology and evolution · 2022Article
- Article
- Comparative genomics reveals broad genetic diversity, extensive recombination and nascent ecological adaptation in Micrococcus luteus.BMC genomics · 2021Article
- Whole genome phylogenies reflect the distributions of recombination rates for many bacterial species.eLife · 2021Article
- Genomes of the "mSystems · 2020Article
- The Evolutionary Success of the Marine Bacterium SAR11 Analyzed through a Metagenomic Perspective.mSystems · 2020Article
- CoreSimul: a forward-in-time simulator of genome evolution for prokaryotes modeling homologous recombination.BMC bioinformatics · 2020Article
- A coarse-graining, ultrametric approach to resolve the phylogeny of prokaryotic strains with frequent homologous recombination.BMC evolutionary biology · 2020Article
- The Maximum Caliber Variational Principle for Nonequilibria.Annual review of physical chemistry · 2020Review
- Article
- Distinct but Intertwined Evolutionary Histories of Multiple Salmonella enterica Subspecies.mSystems · 2020Article
- Gene gain and loss push prokaryotes beyond the homologous recombination barrier and accelerate genome sequence divergence.Nature communications · 2019Article
- Recombination of ecologically and evolutionarily significant loci maintains genetic cohesion in the Pseudomonas syringae species complex.Genome biology · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While bacteria divide clonally, horizontal gene transfer followed by homologous recombination is now recognized as an important contributor to their evolution. However, the details of how the competition between clonality and recombination shapes genome diversity remains poorly understood. Using a computational model, we find two principal regimes in bacterial evolution and identify two composite parameters that dictate the evolutionary fate of bacterial species. In the divergent regime, characterized by either a low recombination frequency or strict barriers to recombination, cohesion due to recombination is not sufficient to overcome the mutational drift. As a consequence, the divergence between pairs of genomes in the population steadily increases in the course of their evolution. The species lacks genetic coherence with sexually isolated clonal subpopulations continuously formed and dissolved. In contrast, in the metastable regime, characterized by a high recombination frequency combined with low barriers to recombination, genomes continuously recombine with the rest of the population. The population remains genetically cohesive and temporally stable. Notably, the transition between these two regimes can be affected by relatively small changes in evolutionary parameters. Using the Multi Locus Sequence Typing (MLST) data, we classify a number of bacterial species to be either the divergent or the metastable type. Generalizations of our framework to include selection, ecologically structured populations, and horizontal gene transfer of nonhomologous regions are discussed as well.
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