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      Development of a New Genome-Wide MLST Scheme for High-Resolution Typing of Diverse Mycobacterium tuberculosis Complex Strains

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      a , b , *
      EBioMedicine
      Elsevier

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          Abstract

          In this issue of EBioMedicine, Kohl and colleagues describe the development of a new core genome MLST scheme (cgMLST) for Mycobacterium tuberculosis complex strains based on a set of 2891 genes. Here, the application of the scheme to a number of tuberculosis surveillance studies is examined.

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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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            Whole-genome-based Mycobacterium tuberculosis surveillance: a standardized, portable, and expandable approach.

            Whole-genome sequencing (WGS) allows for effective tracing of Mycobacterium tuberculosis complex (MTBC) (tuberculosis pathogens) transmission. However, it is difficult to standardize and, therefore, is not yet employed for interlaboratory prospective surveillance. To allow its widespread application, solutions for data standardization and storage in an easily expandable database are urgently needed. To address this question, we developed a core genome multilocus sequence typing (cgMLST) scheme for clinical MTBC isolates using the Ridom SeqSphere(+) software, which transfers the genome-wide single nucleotide polymorphism (SNP) diversity into an allele numbering system that is standardized, portable, and not computationally intensive. To test its performance, we performed WGS analysis of 26 isolates with identical IS6110 DNA fingerprints and spoligotyping patterns from a longitudinal outbreak in the federal state of Hamburg, Germany (notified between 2001 and 2010). The cgMLST approach (3,041 genes) discriminated the 26 strains with a resolution comparable to that of SNP-based WGS typing (one major cluster of 22 identical or closely related and four outlier isolates with at least 97 distinct SNPs or 63 allelic variants). Resulting tree topologies are highly congruent and grouped the isolates in both cases analogously. Our data show that SNP- and cgMLST-based WGS analyses facilitate high-resolution discrimination of longitudinal MTBC outbreaks. cgMLST allows for a meaningful epidemiological interpretation of the WGS genotyping data. It enables standardized WGS genotyping for epidemiological investigations, e.g., on the regional public health office level, and the creation of web-accessible databases for global TB surveillance with an integrated early warning system. Copyright © 2014, American Society for Microbiology. All Rights Reserved.
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              Identification of novel intergenic repetitive units in a mycobacterial two-component system operon.

              Mycobacterial interspersed repetitive units (MIRUs), a novel class of repeated sequences, were identified within the intercistronic region of an operon coding for a mycobacterial two-component system, named senX3-regX3. Southern blot analysis and homology searches revealed the presence of several homologous sequences in intergenic regions dispersed throughout the genomes of Mycobacterium bovis BCG, Mycobacterium tuberculosis and Mycobacterium leprae. These could be grouped into three major families, containing elements of 77-101 bp, 46-53 bp and 58-101 bp. Based on the available mycobacterial sequences, the total number of MIRUs is estimated to be about 40-50 per genome. Similar to previously identified small repetitive sequences, the MIRUs of the two-component operon are transcribed on a polycistronic mRNA. Unlike previously identified small repetitive sequences, however, MIRUs do not contain dyad symmetries, comprise small open reading frames (ORFs) whose extremities overlap those of the contiguous ORFs and are oriented in the same translational direction as those of the adjacent genes. Analyses of the sequences at the insertion sites suggest that MIRUs disseminate by transposition into DTGA sites involved in translational coupling in polycistronic operons.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                04 August 2018
                August 2018
                04 August 2018
                : 34
                : 6-7
                Affiliations
                [a ]School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Australia
                [b ]Department of Clinical Microbiology, Trinity College Dublin, Ireland
                Author notes
                [* ]Corresponding author at: School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, Australia. ronan.otoole@ 123456utas.edu.au
                Article
                S2352-3964(18)30282-2
                10.1016/j.ebiom.2018.07.038
                6116476
                30087031
                e2156721-893f-4c62-a8e3-4c790671a8ae
                © 2018 The Author

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 28 July 2018
                : 30 July 2018
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