Literature DB >> 19477301

Phylogenetic understanding of clonal populations in an era of whole genome sequencing.

Talima Pearson1, Richard T Okinaka, Jeffrey T Foster, Paul Keim.   

Abstract

Phylogenetic hypotheses using whole genome sequences have the potential for unprecedented accuracy, yet a failure to understand issues associated with discovery bias, character sampling, and strain sampling can lead to highly erroneous conclusions. For microbial pathogens, phylogenies derived from whole genome sequences are becoming more common, as large numbers of characters distributed across entire genomes can yield extremely accurate phylogenies, particularly for strictly clonal populations. The availability of whole genomes is increasing as new sequencing technologies reduce the cost and time required for genome sequencing. Until entire sample collections can be fully sequenced, harnessing the phylogenetic power from whole genome sequences in more than a small subset of fully sequenced strains requires the integration of whole genome and partial genome genotyping data. Such integration involves discovering evolutionarily stable polymorphic characters by whole genome comparisons, then determining allelic states across a wide panel of isolates using high-throughput genotyping technologies. Here, we demonstrate how such an approach using single nucleotide polymorphisms (SNPs) yields highly accurate, but biased phylogenetic reconstructions and how the accuracy of the resulting tree is compromised by incomplete taxon and character sampling. Despite recent phylogenetic work detailing the strengths and biases of integrating whole genome and partial genome genotype data, these issues are relatively new and remain poorly understood by many researchers. Here, we revisit these biases and provide strategies for maximizing phylogenetic accuracy. Although we write this review with bacterial pathogens in mind, these concepts apply to any clonally reproducing population or indeed to any evolutionarily stable marker that is inherited in a strictly clonal manner. Understanding the ways in which current and emerging technologies can be used to maximize phylogenetic knowledge is advantageous only with a complete understanding of the strengths and weaknesses of these methods.

Mesh:

Year:  2009        PMID: 19477301     DOI: 10.1016/j.meegid.2009.05.014

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  58 in total

1.  High-resolution typing by integration of genome sequencing data in a large tuberculosis cluster.

Authors:  Anita C Schürch; Kristin Kremer; Olaf Daviena; Albert Kiers; Martin J Boeree; Roland J Siezen; Dick van Soolingen
Journal:  J Clin Microbiol       Date:  2010-06-30       Impact factor: 5.948

Review 2.  The genome and variation of Bacillus anthracis.

Authors:  Paul Keim; Jeffrey M Gruendike; Alexandra M Klevytska; James M Schupp; Jean Challacombe; Richard Okinaka
Journal:  Mol Aspects Med       Date:  2009-09-01

3.  Reproductive clonality of pathogens: a perspective on pathogenic viruses, bacteria, fungi, and parasitic protozoa.

Authors:  Michel Tibayrenc; Francisco J Ayala
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-04       Impact factor: 11.205

Review 4.  Microbial sequence typing in the genomic era.

Authors:  Marcos Pérez-Losada; Miguel Arenas; Eduardo Castro-Nallar
Journal:  Infect Genet Evol       Date:  2017-09-21       Impact factor: 3.342

5.  Putting leprosy on the map.

Authors:  Martin C J Maiden
Journal:  Nat Genet       Date:  2009-12       Impact factor: 38.330

Review 6.  Automated extraction of typing information for bacterial pathogens from whole genome sequence data: Neisseria meningitidis as an exemplar.

Authors:  K A Jolley; M C Maiden
Journal:  Euro Surveill       Date:  2013-01-24

7.  Within-host evolution of Burkholderia pseudomallei in four cases of acute melioidosis.

Authors:  Erin P Price; Heidie M Hornstra; Direk Limmathurotsakul; Tamara L Max; Derek S Sarovich; Amy J Vogler; Julia L Dale; Jennifer L Ginther; Benjamin Leadem; Rebecca E Colman; Jeffrey T Foster; Apichai Tuanyok; David M Wagner; Sharon J Peacock; Talima Pearson; Paul Keim
Journal:  PLoS Pathog       Date:  2010-01-15       Impact factor: 6.823

8.  Phylogeographic reconstruction of a bacterial species with high levels of lateral gene transfer.

Authors:  Talima Pearson; Philip Giffard; Stephen Beckstrom-Sternberg; Raymond Auerbach; Heidie Hornstra; Apichai Tuanyok; Erin P Price; Mindy B Glass; Benjamin Leadem; James S Beckstrom-Sternberg; Gerard J Allan; Jeffrey T Foster; David M Wagner; Richard T Okinaka; Siew Hoon Sim; Ofori Pearson; Zaining Wu; Jean Chang; Rajinder Kaul; Alex R Hoffmaster; Thomas S Brettin; Richard A Robison; Mark Mayo; Jay E Gee; Patrick Tan; Bart J Currie; Paul Keim
Journal:  BMC Biol       Date:  2009-11-18       Impact factor: 7.431

9.  Genotyping of genetically monomorphic bacteria: DNA sequencing in Mycobacterium tuberculosis highlights the limitations of current methodologies.

Authors:  Iñaki Comas; Susanne Homolka; Stefan Niemann; Sebastien Gagneux
Journal:  PLoS One       Date:  2009-11-12       Impact factor: 3.240

10.  Insertion sequence element single nucleotide polymorphism typing provides insights into the population structure and evolution of Mycobacterium ulcerans across Africa.

Authors:  Koen Vandelannoote; Kurt Jordaens; Pieter Bomans; Herwig Leirs; Lies Durnez; Dissou Affolabi; Ghislain Sopoh; Julia Aguiar; Delphin Mavinga Phanzu; Kapay Kibadi; Sara Eyangoh; Louis Bayonne Manou; Richard Odame Phillips; Ohene Adjei; Anthony Ablordey; Leen Rigouts; Françoise Portaels; Miriam Eddyani; Bouke C de Jong
Journal:  Appl Environ Microbiol       Date:  2013-12-02       Impact factor: 4.792

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