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Matrix-assisted Laser Desorption Ionization-time of Flight Mass Spectrometry Can Accurately Differentiate Between Mycobacterium Masilliense (M. Abscessus Subspecies Bolletti) and M. Abscessus (sensu Stricto)

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Specialty Microbiology
Date 2013 Jul 5
PMID 23824775
Citations 25
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Abstract

Among 36 Mycobacterium masilliense and 22 M. abscessus isolates identified by erm(41) PCR and sequencing analysis of rpoB and 23S rRNA genes, the rate of accurate differentiation between these two subspecies was 100% by cluster analysis of spectra generated by Bruker Biotyper matrix-assisted laser desorption ionization-time of flight mass spectrometry.

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References
1.
Hoefsloot W, van Ingen J, Andrejak C, Angeby K, Bauriaud R, Bemer P . The geographic diversity of nontuberculous mycobacteria isolated from pulmonary samples: an NTM-NET collaborative study. Eur Respir J. 2013; 42(6):1604-13. DOI: 10.1183/09031936.00149212. View

2.
Chen C, Chen H, Chou C, Huang C, Lai C, Hsueh P . Pulmonary infection caused by nontuberculous mycobacteria in a medical center in Taiwan, 2005-2008. Diagn Microbiol Infect Dis. 2011; 72(1):47-51. DOI: 10.1016/j.diagmicrobio.2011.09.009. View

3.
Nessar R, Cambau E, Reyrat J, Murray A, Gicquel B . Mycobacterium abscessus: a new antibiotic nightmare. J Antimicrob Chemother. 2012; 67(4):810-8. DOI: 10.1093/jac/dkr578. View

4.
Chen C, Sheng W, Lai C, Liao C, Huang Y, Tsay W . Mycobacterial infections in adult patients with hematological malignancy. Eur J Clin Microbiol Infect Dis. 2011; 31(6):1059-66. DOI: 10.1007/s10096-011-1407-7. View

5.
Wang J, Chen W, Li Q . Rapid identification and classification of Mycobacterium spp. using whole-cell protein barcodes with matrix assisted laser desorption ionization time of flight mass spectrometry in comparison with multigene phylogenetic analysis. Anal Chim Acta. 2012; 716:133-7. DOI: 10.1016/j.aca.2011.12.016. View