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

by: Brian G Spratt, William P Hanage, Bao Li, David M Aanensen, Edward J Feil

FEMS Microbiology Letters, Vol. 241, No. 2. (2004), pp. 129-134.

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Abstract

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.

@article{citeulike:1533146, abstract = {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.}, author = {Spratt, Brian G. and Hanage, William P. and Li, Bao and Aanensen, David M. and Feil, Edward J. }, citeulike-article-id = {1533146}, doi = {10.1016/j.femsle.2004.11.015}, journal = {FEMS Microbiology Letters}, number = {2}, pages = {129--134}, posted-at = {2007-08-03 11:54:55}, priority = {2}, title = {Displaying the relatedness among isolates of bacterial species - the eBURST approach}, url = {http://www.blackwell-synergy.com/doi/abs/10.1016/j.femsle.2004.11.015}, volume = {241}, year = {2004} }

RIS record

TY - JOUR ID - citeulike:1533146 L3 - citeulike-article-id:1533146 TI - Displaying the relatedness among isolates of bacterial species - the eBURST approach JF - FEMS Microbiology Letters VL - 241 IS - 2 SP - 129 EP - 134 N2 - 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. AU - Spratt, Brian AU - Hanage, William AU - Li, Bao AU - Aanensen, David AU - Feil, Edward PY - 2004/// UR - http://www.blackwell-synergy.com/doi/abs/10.1016/j.femsle.2004.11.015 ER -

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