Literature DB >> 16099674

Phylogenetic analysis as a tool in molecular epidemiology of infectious diseases.

Barry G Hall1, Miriam Barlow.   

Abstract

Phylogenetics is a powerful tool for microbial epidemiology, but it is a tool that is often misused and misinterpreted by the field. Microbial epidemiologists are cautioned that in order to draw any inferences about the order of descent from a common ancestor it is necessary to correctly root a phylogenetic tree. Epidemiological samples of microbial populations typically include both ancestors and their descendants. In order to illustrate the relationships of those isolates, the phylogenetic method used must be able to detect zero-length branches. Unweighted Pair-Group Method (UPGMA) is the phylogenetic method that is most widely used in microbial epidemiology. Because UPGMA cannot detect zero length branches, and because it places the root of the tree based on a usually-false assumption, UPGMA is the worst possible choice among the several phylogenetic methods available. Because microbial epidemiology deals with relationships among strains within a species, rather than with relationships among species, recombination within those species can render phylogenetic trees meaningless and positively misleading. When there is evidence of significant recombination within the species of interest phylogenetic trees should not be used at all. Instead, alternative tools such as eBURST should be used to understand relationships among isolates.

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Year:  2005        PMID: 16099674     DOI: 10.1016/j.annepidem.2005.04.010

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  15 in total

1.  Discovery and phylogenetic analysis of novel members of class b enterotoxigenic Escherichia coli adhesive fimbriae.

Authors:  Rania A Nada; Hind I Shaheen; Sami B Khalil; Adel Mansour; Nasr El-Sayed; Iman Touni; Matthew Weiner; Adam W Armstrong; John D Klena
Journal:  J Clin Microbiol       Date:  2011-02-02       Impact factor: 5.948

2.  Contribution of polymorphisms in ankA, gltA, and groESL in defining genetic variants of Anaplasma phagocytophilum.

Authors:  Sanjay K Shukla; Vijay Aswani; Patrick J Stockwell; Kurt D Reed
Journal:  J Clin Microbiol       Date:  2007-05-16       Impact factor: 5.948

3.  Molecular epidemiology of Mycobacterium leprae as determined by structure-neighbor clustering.

Authors:  Barry G Hall; Stephen J Salipante
Journal:  J Clin Microbiol       Date:  2010-03-29       Impact factor: 5.948

4.  Pan-genome analysis provides much higher strain typing resolution than multi-locus sequence typing.

Authors:  Barry G Hall; Garth D Ehrlich; Fen Z Hu
Journal:  Microbiology (Reading)       Date:  2009-12-17       Impact factor: 2.777

5.  Multilocus sequence typing of historical Burkholderia pseudomallei isolates collected in Southeast Asia from 1964 to 1967 provides insight into the epidemiology of melioidosis.

Authors:  Roberta L McCombie; Richard A Finkelstein; Donald E Woods
Journal:  J Clin Microbiol       Date:  2006-08       Impact factor: 5.948

6.  Analyses of pediatric isolates of Cryptococcus neoformans from South Africa.

Authors:  Kathleen J Miglia; Nelesh P Govender; Jenny Rossouw; Susan Meiring; Thomas G Mitchell
Journal:  J Clin Microbiol       Date:  2010-10-27       Impact factor: 5.948

7.  The power and pitfalls of HIV phylogenetics in public health.

Authors:  James I Brooks; Paul A Sandstrom
Journal:  Can J Public Health       Date:  2013-07-25

8.  Global optimal eBURST analysis of multilocus typing data using a graphic matroid approach.

Authors:  Alexandre P Francisco; Miguel Bugalho; Mário Ramirez; João A Carriço
Journal:  BMC Bioinformatics       Date:  2009-05-18       Impact factor: 3.169

9.  Clustering acinetobacter strains by optical mapping.

Authors:  Barry G Hall; Benjamin C Kirkup; Mathew C Riley; Miriam Barlow
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

10.  The molecular characterization of bovine leukaemia virus isolates from Eastern Europe and Siberia and its impact on phylogeny.

Authors:  Marzena Rola-Łuszczak; Aneta Pluta; Monika Olech; Irina Donnik; Maxim Petropavlovskiy; Anton Gerilovych; Irina Vinogradova; Bhudipa Choudhury; Jacek Kuźmak
Journal:  PLoS One       Date:  2013-03-19       Impact factor: 3.240

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