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Displaying the relatedness among isolates of bacterial species – the eBURST approach

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... Full description

Journal Title: FEMS microbiology letters 2004, Vol.241 (2), p.129-134
Main Author: Spratt, Brian G.
Other Authors: Hanage, William P. , Li, Bao , Aanensen, David M. , Feil, Edward J.
Format: Electronic Article Electronic Article
Language: English
Subjects:
Quelle: Alma/SFX Local Collection
Publisher: Oxford, UK: Elsevier B.V
ID: ISSN: 0378-1097
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title: Displaying the relatedness among isolates of bacterial species – the eBURST approach
format: Article
creator:
  • Spratt, Brian G.
  • Hanage, William P.
  • Li, Bao
  • Aanensen, David M.
  • Feil, Edward J.
subjects:
  • Algorithms
  • Bacteria - classification
  • Bacteria - genetics
  • Bacterial Infections - microbiology
  • Bacterial Typing Techniques
  • Bacteriology
  • Bifurcations
  • Biological and medical sciences
  • Clonal complex
  • Descent
  • Evolution
  • Evolution, Molecular
  • Fundamental and applied biological sciences. Psychology
  • Genotypes
  • Humans
  • Microbiology
  • MLST
  • Multilocus sequence typing
  • Pathogen
  • Recombination
  • Software
  • Systematics
ispartof: FEMS microbiology letters, 2004, Vol.241 (2), p.129-134
description: 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.
language: eng
source: Alma/SFX Local Collection
identifier: ISSN: 0378-1097
fulltext: fulltext
issn:
  • 0378-1097
  • 1574-6968
url: Link


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descriptionDetermining 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.
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subjectAlgorithms ; Bacteria - classification ; Bacteria - genetics ; Bacterial Infections - microbiology ; Bacterial Typing Techniques ; Bacteriology ; Bifurcations ; Biological and medical sciences ; Clonal complex ; Descent ; Evolution ; Evolution, Molecular ; Fundamental and applied biological sciences. Psychology ; Genotypes ; Humans ; Microbiology ; MLST ; Multilocus sequence typing ; Pathogen ; Recombination ; Software ; Systematics
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abstractDetermining 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.
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