Publication: Speciation trajectories in recombining bacterial species
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Date
2017
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Published Version
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Public Library of Science
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Citation
Marttinen, Pekka, and William P. Hanage. 2017. “Speciation trajectories in recombining bacterial species.” PLoS Computational Biology 13 (7): e1005640. doi:10.1371/journal.pcbi.1005640. http://dx.doi.org/10.1371/journal.pcbi.1005640.
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Abstract
It is generally agreed that bacterial diversity can be classified into genetically and ecologically cohesive units, but what produces such variation is a topic of intensive research. Recombination may maintain coherent species of frequently recombining bacteria, but the emergence of distinct clusters within a recombining species, and the impact of habitat structure in this process are not well described, limiting our understanding of how new species are created. Here we present a model of bacterial evolution in overlapping habitat space. We show that the amount of habitat overlap determines the outcome for a pair of clusters, which may range from fast clonal divergence with little interaction between the clusters to a stationary population structure, where different clusters maintain an equilibrium distance between each other for an indefinite time. We fit our model to two data sets. In Streptococcus pneumoniae, we find a genomically and ecologically distinct subset, held at a relatively constant genetic distance from the majority of the population through frequent recombination with it, while in Campylobacter jejuni, we find a minority population we predict will continue to diverge at a higher rate. This approach may predict and define speciation trajectories in multiple bacterial species.
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Keywords
Biology and Life Sciences, Behavior, Animal Behavior, Animal Migration, Zoology, Organisms, Bacteria, Streptococcus, Pneumococcus, Microbiology, Medical Microbiology, Microbial Pathogens, Bacterial Pathogens, Medicine and Health Sciences, Pathology and Laboratory Medicine, Pathogens, Ecology, Ecological Niches, Ecology and Environmental Sciences, Biology and life sciences, Genetics, DNA, DNA recombination, Biochemistry, Nucleic acids, Habitats, Simulation and Modeling, Theoretical Ecology, Physical Sciences, Mathematics, Approximation Methods
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