Literature DB >> 24671786

Novel DNA chip based on a modified DigiTag2 assay for high-throughput species identification and genotyping of Mycobacterium tuberculosis complex isolates.

Prapaporn Srilohasin1, Angkana Chaiprasert2, Katsushi Tokunaga3, Nishida Nao4, Therdsak Prammananan5.   

Abstract

A multipurpose high-throughput genotyping tool for the assessment of recent epidemiological data and evolutional pattern in Mycobacterium tuberculosis complex (MTBC) clinical isolates was developed in this study. To facilitate processing, 51 highly informative single nucleotide polymorphisms (SNPs) were selected for discriminating the clinically most relevant MTBC species and genotyping M. tuberculosis into its principle genetic groups (PGGs) and SNP cluster groups (SCGs). Because of the high flexibility of the DigiTag2 assay, the identical protocol and DNA array containing the identical set of probes were applied to the highly GC-rich mycobacterial genome. The specific primers with multiplex amplification and hybridization conditions based on the DigiTag2 principle were optimized and evaluated with 14 MTBC reference strains, 4 nontuberculous mycobacteria (NTM) isolates, and 322 characterized M. tuberculosis clinical isolates. The DNA chip that was developed revealed a 99.85% call rate, a 100% conversion rate, and 99.75% reproducibility. For the accuracy rate, 98.94% of positive calls were consistent with previous molecular characterizations. Our cost-effective technology was capable of simultaneously identifying the MTBC species and the genotypes of 96 M. tuberculosis clinical isolates within 6 h using only simple instruments, such as a thermal cycler, a hybridization oven, and a DNA chip scanner, and less technician skill was required than for other techniques. We demonstrate this approach's potential as a simple, flexible, and rapid tool for providing clearer information regarding circulating MTBC isolates.
Copyright © 2014, American Society for Microbiology. All Rights Reserved.

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Year:  2014        PMID: 24671786      PMCID: PMC4042797          DOI: 10.1128/JCM.00153-14

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  37 in total

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2.  Population structure dynamics of Mycobacterium tuberculosis Beijing strains during past decades in Japan.

Authors:  Tomotada Iwamoto; Riyo Fujiyama; Shiomi Yoshida; Takayuki Wada; Chika Shirai; Yasuto Kawakami
Journal:  J Clin Microbiol       Date:  2009-08-26       Impact factor: 5.948

3.  Global phylogeny of Mycobacterium tuberculosis based on single nucleotide polymorphism (SNP) analysis: insights into tuberculosis evolution, phylogenetic accuracy of other DNA fingerprinting systems, and recommendations for a minimal standard SNP set.

Authors:  Ingrid Filliol; Alifiya S Motiwala; Magali Cavatore; Weihong Qi; Manzour Hernando Hazbón; Miriam Bobadilla del Valle; Janet Fyfe; Lourdes García-García; Nalin Rastogi; Christophe Sola; Thierry Zozio; Marta Inírida Guerrero; Clara Inés León; Jonathan Crabtree; Sam Angiuoli; Kathleen D Eisenach; Riza Durmaz; Moses L Joloba; Adrian Rendón; José Sifuentes-Osornio; Alfredo Ponce de León; M Donald Cave; Robert Fleischmann; Thomas S Whittam; David Alland
Journal:  J Bacteriol       Date:  2006-01       Impact factor: 3.490

4.  One-tube multiplex PCR method for rapid identification of mycobacterium tuberculosis.

Authors:  Angkana Chaiprasert; Therdsak Prammananan; Nipa Tingtoy; Preeyawis Na-Ubol; Somboon Srimuang; Kittipan Samerpitak; Watcharin Rangsipanuratn
Journal:  Southeast Asian J Trop Med Public Health       Date:  2006-05       Impact factor: 0.267

5.  Molecular analysis of Mycobacterium tuberculosis from tuberculous meningitis patients in Thailand.

Authors:  Jutaporn Yorsangsukkamol; Angkana Chaiprasert; Therdsak Prammananan; Prasit Palittapongarnpim; Sunsern Limsoontarakul; Naraporn Prayoonwiwat
Journal:  Tuberculosis (Edinb)       Date:  2009-06-02       Impact factor: 3.131

6.  Genome-wide analysis of synonymous single nucleotide polymorphisms in Mycobacterium tuberculosis complex organisms: resolution of genetic relationships among closely related microbial strains.

Authors:  Michaela M Gutacker; James C Smoot; Cristi A Lux Migliaccio; Stacy M Ricklefs; Su Hua; Debby V Cousins; Edward A Graviss; Elena Shashkina; Barry N Kreiswirth; James M Musser
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

7.  Novel Mycobacterium tuberculosis complex pathogen, M. mungi.

Authors:  Kathleen A Alexander; Pete N Laver; Anita L Michel; Mark Williams; Paul D van Helden; Robin M Warren; Nicolaas C Gey van Pittius
Journal:  Emerg Infect Dis       Date:  2010-08       Impact factor: 6.883

8.  High resolution discrimination of clinical Mycobacterium tuberculosis complex strains based on single nucleotide polymorphisms.

Authors:  Susanne Homolka; Michaela Projahn; Silke Feuerriegel; Tanja Ubben; Roland Diel; Ulrich Nübel; Stefan Niemann
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

9.  Out-of-Africa migration and Neolithic coexpansion of Mycobacterium tuberculosis with modern humans.

Authors:  Iñaki Comas; Mireia Coscolla; Tao Luo; Sonia Borrell; Kathryn E Holt; Midori Kato-Maeda; Julian Parkhill; Bijaya Malla; Stefan Berg; Guy Thwaites; Dorothy Yeboah-Manu; Graham Bothamley; Jian Mei; Lanhai Wei; Stephen Bentley; Simon R Harris; Stefan Niemann; Roland Diel; Abraham Aseffa; Qian Gao; Douglas Young; Sebastien Gagneux
Journal:  Nat Genet       Date:  2013-09-01       Impact factor: 38.330

10.  Association between Mycobacterium tuberculosis complex phylogenetic lineage and acquired drug resistance.

Authors:  Courtney M Yuen; Ekaterina V Kurbatova; Eleanor S Click; J Sean Cavanaugh; J Peter Cegielski
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

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  4 in total

1.  Cas12a/Guide RNA-Based Platform for Rapid and Accurate Identification of Major Mycobacterium Species.

Authors:  Guohui Xiao; Xing He; Su Zhang; Yaya Liu; Zhihang Liang; Houming Liu; Juanjuan Zhang; Min Ou; Shuhao Cai; Wenjie Lai; Tianyu Zhang; Lili Ren; Guoliang Zhang
Journal:  J Clin Microbiol       Date:  2020-01-28       Impact factor: 5.948

2.  Genetic diversity and dynamic distribution of Mycobacterium tuberculosis isolates causing pulmonary and extrapulmonary tuberculosis in Thailand.

Authors:  Prapaporn Srilohasin; Angkana Chaiprasert; Katsushi Tokunaga; Nao Nishida; Therdsak Prammananan; Nat Smittipat; Surakameth Mahasirimongkol; Boonchai Chaiyasirinroje; Hideki Yanai; Prasit Palittapongarnpim
Journal:  J Clin Microbiol       Date:  2014-10-08       Impact factor: 5.948

Review 3.  Genetic structure and relationships of 16 Asian and European cattle populations using DigiTag2 assay.

Authors:  Riku Yonesaka; Shinji Sasazaki; Hiroshi Yasue; Satoru Niwata; Yousuke Inayoshi; Fumio Mukai; Hideyuki Mannen
Journal:  Anim Sci J       Date:  2015-08-11       Impact factor: 1.749

4.  A Bioinformatics Whole-Genome Sequencing Workflow for Clinical Mycobacterium tuberculosis Complex Isolate Analysis, Validated Using a Reference Collection Extensively Characterized with Conventional Methods and In Silico Approaches.

Authors:  Bert Bogaerts; Thomas Delcourt; Vanessa Mathys; Kevin Vanneste; Karine Soetaert; Samira Boarbi; Pieter-Jan Ceyssens; Raf Winand; Julien Van Braekel; Sigrid C J De Keersmaecker; Nancy H C Roosens; Kathleen Marchal
Journal:  J Clin Microbiol       Date:  2021-05-19       Impact factor: 5.948

  4 in total

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