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      Genotyping of Genetically Monomorphic Bacteria: DNA Sequencing in Mycobacterium tuberculosis Highlights the Limitations of Current Methodologies

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          Abstract

          Because genetically monomorphic bacterial pathogens harbour little DNA sequence diversity, most current genotyping techniques used to study the epidemiology of these organisms are based on mobile or repetitive genetic elements. Molecular markers commonly used in these bacteria include Clustered Regulatory Short Palindromic Repeats (CRISPR) and Variable Number Tandem Repeats (VNTR). These methods are also increasingly being applied to phylogenetic and population genetic studies. Using the Mycobacterium tuberculosis complex (MTBC) as a model, we evaluated the phylogenetic accuracy of CRISPR- and VNTR-based genotyping, which in MTBC are known as spoligotyping and Mycobacterial Interspersed Repetitive Units (MIRU)-VNTR-typing, respectively. We used as a gold standard the complete DNA sequences of 89 coding genes from a global strain collection. Our results showed that phylogenetic trees derived from these multilocus sequence data were highly congruent and statistically robust, irrespective of the phylogenetic methods used. By contrast, corresponding phylogenies inferred from spoligotyping or 15-loci-MIRU-VNTR were incongruent with respect to the sequence-based trees. Although 24-loci-MIRU-VNTR performed better, it was still unable to detect all strain lineages. The DNA sequence data showed virtually no homoplasy, but the opposite was true for spoligotyping and MIRU-VNTR, which was consistent with high rates of convergent evolution and the low statistical support obtained for phylogenetic groupings defined by these markers. Our results also revealed that the discriminatory power of the standard 24 MIRU-VNTR loci varied by strain lineage. Taken together, our findings suggest strain lineages in MTBC should be defined based on phylogenetically robust markers such as single nucleotide polymorphisms or large sequence polymorphisms, and that for epidemiological purposes, MIRU-VNTR loci should be used in a lineage-dependent manner. Our findings have implications for strain typing in other genetically monomorphic bacteria.

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          Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms.

          Traditional and molecular typing schemes for the characterization of pathogenic microorganisms are poorly portable because they index variation that is difficult to compare among laboratories. To overcome these problems, we propose multilocus sequence typing (MLST), which exploits the unambiguous nature and electronic portability of nucleotide sequence data for the characterization of microorganisms. To evaluate MLST, we determined the sequences of approximately 470-bp fragments from 11 housekeeping genes in a reference set of 107 isolates of Neisseria meningitidis from invasive disease and healthy carriers. For each locus, alleles were assigned arbitrary numbers and dendrograms were constructed from the pairwise differences in multilocus allelic profiles by cluster analysis. The strain associations obtained were consistent with clonal groupings previously determined by multilocus enzyme electrophoresis. A subset of six gene fragments was chosen that retained the resolution and congruence achieved by using all 11 loci. Most isolates from hyper-virulent lineages of serogroups A, B, and C meningococci were identical for all loci or differed from the majority type at only a single locus. MLST using six loci therefore reliably identified the major meningococcal lineages associated with invasive disease. MLST can be applied to almost all bacterial species and other haploid organisms, including those that are difficult to cultivate. The overwhelming advantage of MLST over other molecular typing methods is that sequence data are truly portable between laboratories, permitting one expanding global database per species to be placed on a World-Wide Web site, thus enabling exchange of molecular typing data for global epidemiology via the Internet.
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            Global phylogeography of Mycobacterium tuberculosis and implications for tuberculosis product development.

            New tools for controlling tuberculosis are urgently needed. Despite our emerging understanding of the biogeography of Mycobacterium tuberculosis, the implications for development of new diagnostics, drugs, and vaccines is unknown. M tuberculosis has a clonal genetic population structure that is geographically constrained. Evidence suggests strain-specific differences in virulence and immunogenicity in light of this global phylogeography. We propose a strain selection framework, based on robust phylogenetic markers, which will allow for systematic and comprehensive evaluation of new tools for tuberculosis control.
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              Likelihood-based tests of topologies in phylogenetics.

              Likelihood-based statistical tests of competing evolutionary hypotheses (tree topologies) have been available for approximately a decade. By far the most commonly used is the Kishino-Hasegawa test. However, the assumptions that have to be made to ensure the validity of the Kishino-Hasegawa test place important restrictions on its applicability. In particular, it is only valid when the topologies being compared are specified a priori. Unfortunately, this means that the Kishino-Hasegawa test may be severely biased in many cases in which it is now commonly used: for example, in any case in which one of the competing topologies has been selected for testing because it is the maximum likelihood topology for the data set at hand. We review the theory of the Kishino-Hasegawa test and contend that for the majority of popular applications this test should not be used. Previously published results from invalid applications of the Kishino-Hasegawa test should be treated extremely cautiously, and future applications should use appropriate alternative tests instead. We review such alternative tests, both nonparametric and parametric, and give two examples which illustrate the importance of our contentions.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2009
                12 November 2009
                : 4
                : 11
                : e7815
                Affiliations
                [1 ]Division of Mycobacterial Research, Medical Research Council, National Institute for Medical Research, London, United Kingdom
                [2 ]Molecular Mycobacteriology, Research Center Borstel, Borstel, Germany
                Duke University Medical Center, United States of America
                Author notes

                Conceived and designed the experiments: SN SG. Performed the experiments: SH SN SG. Analyzed the data: IC SN SG. Contributed reagents/materials/analysis tools: SN SG. Wrote the paper: IC SN SG.

                Article
                09-PONE-RA-12005R1
                10.1371/journal.pone.0007815
                2772813
                19915672
                d959de19-dcb0-4219-a7f6-6cdead33b966
                Comas et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 31 July 2009
                : 15 October 2009
                Page count
                Pages: 11
                Categories
                Research Article
                Evolutionary Biology
                Infectious Diseases
                Microbiology
                Evolutionary Biology/Microbial Evolution and Genomics
                Genetics and Genomics/Population Genetics
                Microbiology/Applied Microbiology
                Microbiology/Environmental Microbiology
                Microbiology/Medical Microbiology
                Microbiology/Microbial Evolution and Genomics
                Infectious Diseases/Bacterial Infections

                Uncategorized
                Uncategorized

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