Literature DB >> 17846140

Antibiotic resistance and single-nucleotide polymorphism cluster grouping type in a multinational sample of resistant Mycobacterium tuberculosis isolates.

M Brimacombe1, M Hazbon, A S Motiwala, D Alland.   

Abstract

A single-nucleotide polymorphism-based cluster grouping (SCG) classification system for Mycobacterium tuberculosis was used to examine antibiotic resistance type and resistance mutations in relationship to specific evolutionary lineages. Drug resistance and resistance mutations were seen across all SCGs. SCG-2 had higher proportions of katG codon 315 mutations and resistance to four drugs.

Entities:  

Mesh：

Substances：

Year:  2007        PMID： 17846140      PMCID： PMC2151444          DOI： 10.1128/AAC.00619-07

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN： 0066-4804            Impact factor:   5.191


  26 in total

1.  Compensatory ahpC gene expression in isoniazid-resistant Mycobacterium tuberculosis.

Authors:  D R Sherman; K Mdluli; M J Hickey; T M Arain; S L Morris; C E Barry; C K Stover
Journal:  Science       Date:  1996-06-14       Impact factor: 47.728

2.  Mutations at amino acid position 315 of the katG gene are associated with high-level resistance to isoniazid, other drug resistance, and successful transmission of Mycobacterium tuberculosis in the Netherlands.

Authors:  D van Soolingen; P E de Haas; H R van Doorn; E Kuijper; H Rinder; M W Borgdorff
Journal:  J Infect Dis       Date:  2000-10-26       Impact factor: 5.226

3.  Role of large sequence polymorphisms (LSPs) in generating genomic diversity among clinical isolates of Mycobacterium tuberculosis and the utility of LSPs in phylogenetic analysis.

Authors:  David Alland; David W Lacher; Manzour Hernando Hazbón; Alifiya S Motiwala; Weihong Qi; Robert D Fleischmann; Thomas S Whittam
Journal:  J Clin Microbiol       Date:  2006-11-01       Impact factor: 5.948

4.  Hairpin primers for simplified single-nucleotide polymorphism analysis of Mycobacterium tuberculosis and other organisms.

Authors:  Manzour Hernando Hazbón; David Alland
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

5.  Transmission of tuberculosis in New York City. An analysis by DNA fingerprinting and conventional epidemiologic methods.

Authors:  D Alland; G E Kalkut; A R Moss; R A McAdam; J A Hahn; W Bosworth; E Drucker; B R Bloom
Journal:  N Engl J Med       Date:  1994-06-16       Impact factor: 91.245

6.  Genotypic analysis of multidrug-resistant Mycobacterium tuberculosis isolates from Monterrey, Mexico.

Authors:  Srinivas V Ramaswamy; Shu-Jun Dou; Adrian Rendon; Zhenhua Yang; M Donald Cave; Edward A Graviss
Journal:  J Med Microbiol       Date:  2004-02       Impact factor: 2.472

7.  ahpC, a gene involved in isoniazid resistance of the Mycobacterium tuberculosis complex.

Authors:  T M Wilson; D M Collins
Journal:  Mol Microbiol       Date:  1996-03       Impact factor: 3.501

8.  Modeling bacterial evolution with comparative-genome-based marker systems: application to Mycobacterium tuberculosis evolution and pathogenesis.

Authors:  David Alland; Thomas S Whittam; Megan B Murray; M Donald Cave; Manzour H Hazbon; Kim Dix; Mark Kokoris; Andreas Duesterhoeft; Jonathan A Eisen; Claire M Fraser; Robert D Fleischmann
Journal:  J Bacteriol       Date:  2003-06       Impact factor: 3.490

9.  Characterization of the catalase-peroxidase gene (katG) and inhA locus in isoniazid-resistant and -susceptible strains of Mycobacterium tuberculosis by automated DNA sequencing: restricted array of mutations associated with drug resistance.

Authors:  J M Musser; V Kapur; D L Williams; B N Kreiswirth; D van Soolingen; J D van Embden
Journal:  J Infect Dis       Date:  1996-01       Impact factor: 5.226

10.  Effect of katG mutations on the virulence of Mycobacterium tuberculosis and the implication for transmission in humans.

Authors:  Alexander S Pym; Brigitte Saint-Joanis; Stewart T Cole
Journal:  Infect Immun       Date:  2002-09       Impact factor: 3.441
View more
  7 in total

1.  Matrix-assisted laser desorption ionization-time of flight mass spectrometry-based single nucleotide polymorphism genotyping assay using iPLEX gold technology for identification of Mycobacterium tuberculosis complex species and lineages.

Authors:  C Bouakaze; C Keyser; A Gonzalez; W Sougakoff; N Veziris; H Dabernat; B Jaulhac; B Ludes
Journal:  J Clin Microbiol       Date:  2011-07-06       Impact factor: 5.948

2.  Genotype of a historic strain of Mycobacterium tuberculosis.

Authors:  Abigail S Bouwman; Sandra L Kennedy; Romy Müller; Richard H Stephens; Malin Holst; Anwen C Caffell; Charlotte A Roberts; Terence A Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-22       Impact factor: 11.205

3.  Convergent evolutionary analysis identifies significant mutations in drug resistance targets of Mycobacterium tuberculosis.

Authors:  Manzour Hernando Hazbón; Alifiya S Motiwala; Magali Cavatore; Michael Brimacombe; Thomas S Whittam; David Alland
Journal:  Antimicrob Agents Chemother       Date:  2008-06-30       Impact factor: 5.191

4.  Comparative genomic analysis of Mycobacterium tuberculosis drug resistant strains from Russia.

Authors:  Elena N Ilina; Egor A Shitikov; Larisa N Ikryannikova; Dmitry G Alekseev; Dmitri E Kamashev; Maja V Malakhova; Tatjana V Parfenova; Maxim V Afanas'ev; Dmitry S Ischenko; Nikolai A Bazaleev; Tatjana G Smirnova; Elena E Larionova; Larisa N Chernousova; Alexey V Beletsky; Andrei V Mardanov; Nikolai V Ravin; Konstantin G Skryabin; Vadim M Govorun
Journal:  PLoS One       Date:  2013-02-20       Impact factor: 3.240

5.  Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting.

Authors:  João Perdigão; Hugo Silva; Diana Machado; Rita Macedo; Fernando Maltez; Carla Silva; Luisa Jordao; Isabel Couto; Kim Mallard; Francesc Coll; Grant A Hill-Cawthorne; Ruth McNerney; Arnab Pain; Taane G Clark; Miguel Viveiros; Isabel Portugal
Journal:  BMC Genomics       Date:  2014-11-18       Impact factor: 3.969

6.  Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning.

Authors:  Yunxiao Ren; Trinad Chakraborty; Swapnil Doijad; Linda Falgenhauer; Jane Falgenhauer; Alexander Goesmann; Anne-Christin Hauschild; Oliver Schwengers; Dominik Heider
Journal:  Bioinformatics       Date:  2021-10-06       Impact factor: 6.937

Review 7.  Application of Next Generation Sequencing for Diagnosis and Clinical Management of Drug-Resistant Tuberculosis: Updates on Recent Developments in the Field.

Authors:  Navisha Dookie; Azraa Khan; Nesri Padayatchi; Kogieleum Naidoo
Journal:  Front Microbiol       Date:  2022-03-24       Impact factor: 5.640
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.