Literature DB >> 22342955

Online tools for polyphasic analysis of Mycobacterium tuberculosis complex genotyping data: now and next.

Thomas Weniger1, Justina Krawczyk, Philip Supply, Dag Harmsen, Stefan Niemann.   

Abstract

Molecular diagnostics and genotyping of pathogens have become indispensable tools in clinical microbiology and disease surveillance. For isolates of the Mycobacterium tuberculosis complex (MTBC, causative agents of tuberculosis), multilocus variable number tandem repeat analysis (MLVA) targeting mycobacterial interspersed repetitive units (MIRU) has been internationally adopted as the new standard, portable, reproducible, and discriminatory typing method. Here, we review new sets of specialized web based bioinformatics tools that have become available for analyzing MLVA data especially in combination with other, complementary genotyping markers (polyphasic analysis). Currently, there are only two databases available that are not restricted to store one kind of genotyping data only, namely SITVIT/SpolDB4 and MIRU-VNTRplus. SITVIT/SpolDB4 (http://www.pasteur-guadeloupe.fr:8081/SITVITDemo) contains spoligotyping data from a large number of strains of diverse origin. However, besides options to query the data, the actual version of SITVIT/SpolDB4 offers no functionality for more complex analysis e.g. tree-based analysis. In comparison, the MIRU-VNTRplus web application (http://www.miru-vntrplus.org), represents a freely accessible service that enables users to analyze genotyping data of their strains alone or in comparison with a currently limited but well characterized reference database of strains representing the major MTBC lineages. Data (MLVA-, spoligotype-, large sequence polymorphism, and single nucleotide polymorphism) can be visualized and analyzed using just one genotyping method or a weighted combination of several markers. A variety of analysis tools are available such as creation of phylogenetic and minimum spanning trees, semi-automated phylogenetic lineage identification based on comparison with the reference database and mapping of geographic information. To facilitate scientific communication, a universal, expanding genotype nomenclature (MLVA MtbC15-9 type) service that can be queried via a web- or a SOAP-interface has been implemented. An extensive documentation guides users through all application functions. Perspectives for future development, including generalization to other bacterial species, are presented.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22342955     DOI: 10.1016/j.meegid.2012.01.021

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


  6 in total

1.  Implementation of a Consensus Set of Hypervariable Mycobacterial Interspersed Repetitive-Unit-Variable-Number Tandem-Repeat Loci in Mycobacterium tuberculosis Molecular Epidemiology.

Authors:  Alberto Trovato; Silva Tafaj; Simone Battaglia; Riccardo Alagna; Donika Bardhi; Perlat Kapisyzi; Silvana Bala; Migena Haldeda; Emanuele Borroni; Hasan Hafizi; Daniela Maria Cirillo
Journal:  J Clin Microbiol       Date:  2015-12-09       Impact factor: 5.948

2.  Genetic markers, genotyping methods & next generation sequencing in Mycobacterium tuberculosis.

Authors:  Srinidhi Desikan; Sujatha Narayanan
Journal:  Indian J Med Res       Date:  2015-06       Impact factor: 2.375

3.  Prevalence of Tuberculosis, Drug Susceptibility Testing, and Genotyping of Mycobacterial Isolates from Pulmonary Tuberculosis Patients in Dessie, Ethiopia.

Authors:  Minwuyelet Maru; Solomon H Mariam; Tekle Airgecho; Endalamaw Gadissa; Abraham Aseffa
Journal:  Tuberc Res Treat       Date:  2015-06-09

4.  MDR M. tuberculosis outbreak clone in Eswatini missed by Xpert has elevated bedaquiline resistance dated to the pre-treatment era.

Authors:  Patrick Beckert; Elisabeth Sanchez-Padilla; Matthias Merker; Viola Dreyer; Thomas A Kohl; Christian Utpatel; Claudio U Köser; Ivan Barilar; Nazir Ismail; Shaheed Vally Omar; Marisa Klopper; Robin M Warren; Harald Hoffmann; Gugu Maphalala; Elisa Ardizzoni; Bouke C de Jong; Bernhard Kerschberger; Birgit Schramm; Sönke Andres; Katharina Kranzer; Florian P Maurer; Maryline Bonnet; Stefan Niemann
Journal:  Genome Med       Date:  2020-11-25       Impact factor: 11.117

5.  Admixed phylogenetic distribution of drug resistant Mycobacterium tuberculosis in Saudi Arabia.

Authors:  Bright Varghese; Philip Supply; Caroline Allix-Béguec; Mohammed Shoukri; Ruba Al-Omari; Mais Herbawi; Sahal Al-Hajoj
Journal:  PLoS One       Date:  2013-02-01       Impact factor: 3.240

Review 6.  Managing and monitoring tuberculosis using web-based tools in combination with traditional approaches.

Authors:  Ann Ln Chapman; Thomas C Darton; Rachel A Foster
Journal:  Clin Epidemiol       Date:  2013-11-21       Impact factor: 4.790

  6 in total

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