Genome-scale rates of evolutionary change in bacteria.
Ontology highlight
ABSTRACT: Estimating the rates at which bacterial genomes evolve is critical to understanding major evolutionary and ecological processes such as disease emergence, long-term host-pathogen associations and short-term transmission patterns. The surge in bacterial genomic data sets provides a new opportunity to estimate these rates and reveal the factors that shape bacterial evolutionary dynamics. For many organisms estimates of evolutionary rate display an inverse association with the time-scale over which the data are sampled. However, this relationship remains unexplored in bacteria due to the difficulty in estimating genome-wide evolutionary rates, which are impacted by the extent of temporal structure in the data and the prevalence of recombination. We collected 36 whole genome sequence data sets
SUBMITTER: Duchene S
PROVIDER: S-EPMC5320706 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA