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

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.

[1]  T. Whittam,et al.  Enzyme polymorphism and genetic population structure in Escherichia coli and Shigella. , 1983, Journal of general microbiology.

[2]  Ellen Jo Baron,et al.  Manual of clinical microbiology , 1975 .

[3]  B. Hall Comparison of the accuracies of several phylogenetic methods using protein and DNA sequences. , 2005, Molecular biology and evolution.

[4]  J. Devereux,et al.  A comprehensive set of sequence analysis programs for the VAX , 1984, Nucleic Acids Res..

[5]  Edward J Feil,et al.  Displaying the relatedness among isolates of bacterial species -- the eBURST approach. , 2004, FEMS microbiology letters.

[6]  Albert Balows,et al.  Manual of Clinical Microbiology, 7th ed. , 2000 .

[7]  N. Saitou,et al.  The neighbor-joining method: a new method for reconstructing phylogenetic trees. , 1987, Molecular biology and evolution.

[8]  R. Doolittle,et al.  Progressive sequence alignment as a prerequisitetto correct phylogenetic trees , 2007, Journal of Molecular Evolution.

[9]  J. Thompson,et al.  The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. , 1997, Nucleic acids research.

[10]  D. Graham,et al.  Population genetic analysis of Helicobacter pylori by multilocus enzyme electrophoresis: extensive allelic diversity and recombinational population structure , 1996, Journal of bacteriology.

[11]  W. Hanage,et al.  eBURST: Inferring Patterns of Evolutionary Descent among Clusters of Related Bacterial Genotypes from Multilocus Sequence Typing Data , 2004, Journal of bacteriology.

[12]  Michael P. Cummings,et al.  PAUP* [Phylogenetic Analysis Using Parsimony (and Other Methods)] , 2004 .

[13]  Laura C Rodrigues,et al.  The study of infectious intestinal disease in England: what risk factors for presentation to general practice tell us about potential for selection bias in case-control studies of reported cases of diarrhoea. , 2003, International journal of epidemiology.

[14]  Thomas L. Madden,et al.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.

[15]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[16]  Mark Achtman,et al.  A Phylogenetic Perspective on Molecular Epidemiology , 2002 .

[17]  K. Rothman Epidemiology: An Introduction , 2002 .

[18]  H. Field,et al.  Epidemiologic Clues to SARS Origin in China , 2004, Emerging infectious diseases.

[19]  Sudhir Kumar,et al.  MEGA2: molecular evolutionary genetics analysis software , 2001, Bioinform..

[20]  J. Schwartzman,et al.  Molecular medical microbiology , 2002 .

[21]  J. Felsenstein CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP , 1985, Evolution; international journal of organic evolution.

[22]  Y. Guan,et al.  Genesis of a highly pathogenic and potentially pandemic H5N1 influenza virus in eastern Asia , 2004, Nature.

[23]  T. Jones,et al.  Limitations to successful investigation and reporting of foodborne outbreaks: an analysis of foodborne disease outbreaks in FoodNet catchment areas, 1998-1999. , 2004, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[24]  Barry G. Hall,et al.  Phylogenetic Trees Made Easy: A How-To Manual for Molecular Biologists , 2001 .

[25]  T. Popović,et al.  Characterization of Encapsulated and Noncapsulated Haemophilus influenzae and Determination of Phylogenetic Relationships by Multilocus Sequence Typing , 2003, Journal of Clinical Microbiology.

[26]  E. Holmes,et al.  Recombination within natural populations of pathogenic bacteria: short-term empirical estimates and long-term phylogenetic consequences. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[27]  M. Achtman,et al.  Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[28]  B. Levin,et al.  Distribution of multilocus genotypes of Escherichia coli within and between host families , 1984, Journal of Hygiene.

[29]  John P. Huelsenbeck,et al.  MRBAYES: Bayesian inference of phylogenetic trees , 2001, Bioinform..

[30]  B. Spratt,et al.  Further evidence for the non-clonal population structure of Neisseria gonorrhoeae: extensive genetic diversity within isolates of the same electrophoretic type. , 1994, Microbiology.

[31]  J. Huelsenbeck,et al.  MRBAYES : Bayesian inference of phylogeny , 2001 .