title: Displaying the relatedness among isolates of bacterial species -- the eBURST approach.
abstract: Determining the most appropriate way to represent the relationships between bacterial isolates is complicated by the differing rates of recombination within species. In many cases, a bifurcating tree can be positively misleading. The recently described program eBURST can be used with multilocus data to define groups or clonal complexes of related isolates derived from a common ancestor, the patterns of descent linking them together, and the ancestral genotype. eBURST has recently been extensively updated to include additional tools for exploring the relationships between isolates. We discuss the advantages of this approach and describe its use to explore patterns of descent within clonal complexes identified using multilocus sequence typing.
authors.affiliation: Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College London, St. Mary's Hospital, Old Medical School Building, London W2 1PG, UK. b.spratt@imperial.ac.uk
authors.forename: Brian G
authors.initials: BG
authors.lastname: Spratt
authors.forename: William P
authors.initials: WP
authors.lastname: Hanage
authors.forename: Bao
authors.initials: B
authors.lastname: Li
authors.forename: David M
authors.initials: DM
authors.lastname: Aanensen
authors.forename: Edward J
authors.initials: EJ
authors.lastname: Feil
mesh_terms: D000465:Algorithms; D001419:Bacteria / Q000145:classification* / Q000235:genetics*; D001424:Bacterial Infections / Q000382:microbiology*; D015373:Bacterial Typing Techniques; D019143:Evolution, Molecular; D006801:Humans; D012984:Software