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

B G Spratt; W P Hanage; B Li; D M Aanensen; E J Feil

doi:10.1016/j.femsle.2004.11.015

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

B G Spratt, W P Hanage, B Li, D M Aanensen, E J Feil

Department of Life Sciences

Research output: Contribution to journal › Article › peer-review

164 Citations (SciVal)

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. (C) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	129-134
Number of pages	6
Journal	FEMS Microbiology Letters
Volume	241
Issue number	2
DOIs	https://doi.org/10.1016/j.femsle.2004.11.015
Publication status	Published - 2004

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ID number: ISI:000226174000001

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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. (C) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.",

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AU - Spratt, B G

AU - Hanage, W P

AU - Li, B

AU - Aanensen, D M

AU - Feil, E J

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PY - 2004

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N2 - 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. (C) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.

AB - 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. (C) 2004 Federation of European Microbiological Societies. Published by Elsevier B.V. All rights reserved.

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DO - 10.1016/j.femsle.2004.11.015

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SP - 129

EP - 134

JO - FEMS Microbiology Letters

JF - FEMS Microbiology Letters

IS - 2

ER -

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

Abstract

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