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

被引:156
作者
Spratt, BG
Hanage, WP
Li, B
Aanensen, DM
Feil, EJ
机构
[1] Univ London Imperial Coll Sci Technol & Med, St Marys Hosp, Fac Med, Dept Infect Dis Epidemiol, London W2 1PG, England
[2] Univ Bath, Dept Biol & Biochem, Bath BA2 7AY, Avon, England
关键词
MLST; clonal complex; evolution; pathogen;
D O I
10.1016/j.femsle.2004.11.015
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:129 / 134
页数:6
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