dc.contributor.author | Marttinen, Pekka | en_US |
dc.contributor.author | Hanage, William P. | en_US |
dc.date.accessioned | 2017-11-21T20:47:00Z | |
dc.date.issued | 2017 | en_US |
dc.identifier.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. | en |
dc.identifier.issn | | en |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:34375335 | |
dc.description.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. | en |
dc.language.iso | en_US | en |
dc.publisher | Public Library of Science | en |
dc.relation.isversionof | doi:10.1371/journal.pcbi.1005640 | en |
dc.relation.hasversion | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542674/pdf/ | en |
dash.license | LAA | en_US |
dc.subject | Biology and Life Sciences | en |
dc.subject | Behavior | en |
dc.subject | Animal Behavior | en |
dc.subject | Animal Migration | en |
dc.subject | Zoology | en |
dc.subject | Organisms | en |
dc.subject | Bacteria | en |
dc.subject | Streptococcus | en |
dc.subject | Pneumococcus | en |
dc.subject | Microbiology | en |
dc.subject | Medical Microbiology | en |
dc.subject | Microbial Pathogens | en |
dc.subject | Bacterial Pathogens | en |
dc.subject | Medicine and Health Sciences | en |
dc.subject | Pathology and Laboratory Medicine | en |
dc.subject | Pathogens | en |
dc.subject | Ecology | en |
dc.subject | Ecological Niches | en |
dc.subject | Ecology and Environmental Sciences | en |
dc.subject | Biology and life sciences | en |
dc.subject | Genetics | en |
dc.subject | DNA | en |
dc.subject | DNA recombination | en |
dc.subject | Biochemistry | en |
dc.subject | Nucleic acids | en |
dc.subject | Habitats | en |
dc.subject | Simulation and Modeling | en |
dc.subject | Theoretical Ecology | en |
dc.subject | Physical Sciences | en |
dc.subject | Mathematics | en |
dc.subject | Approximation Methods | en |
dc.title | Speciation trajectories in recombining bacterial species | en |
dc.type | Journal Article | en_US |
dc.description.version | Version of Record | en |
dc.relation.journal | PLoS Computational Biology | en |
dash.depositing.author | Hanage, William P. | en_US |
dc.date.available | 2017-11-21T20:47:00Z | |
dc.identifier.doi | 10.1371/journal.pcbi.1005640 | * |
dash.contributor.affiliated | Hanage, William | |