Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Sep 21;60(9):e0021722.
doi: 10.1128/jcm.00217-22. Epub 2022 Aug 15.

Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria

Affiliations

Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria

Nadege C Toney et al. J Clin Microbiol. .

Abstract

The Bruker Biotyper matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) platform was assessed on its ability to accurately identify 314 nontuberculous mycobacteria (NTM) representing 73 species. All NTM isolates, representing 183 rapidly growing and 131 slowly growing organisms, were previously identified by Sanger DNA sequencing of the full-length 16S rRNA gene, and region V of the rpoB gene. An optimized version of the Bruker bead-beating procedure for protein extraction of NTM isolates was used to ensure high quality spectra for all NTM isolates, including less frequently encountered species. NTM spectra were analyzed using Bruker's research use only, Mycobacteria Library v6.0, supplemented by the MicrobeNet database. Identification of NTM by MALDI-TOF had an accuracy of 94% (296/314). The identification accuracy for rapidly growing mycobacteria was higher at 99% (182/183) than it was for slowly growing mycobacteria at 87% (114/131). While MALDI-TOF performed well against Sanger sequencing of the 16S rRNA gene alone, there were 11 species that required additional sequencing of rpoB. Most discrepancies between MALDI-TOF and sequencing results are likely due to underrepresentation of some species in the libraries used. Overall, the results of this study support Bruker's MALDI-TOF platform as an accurate and reliable method for the identification of NTM.

Keywords: MALDI-TOF; biotyper; nontuberculous mycobacteria.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Similar articles

Cited by

References

    1. Parte AC. 2018. LPSN–List of Prokaryotic names with Standing in Nomenclature (bacterio.net), 20 years on. Int J Syst Evol Microbiol 68:1825–1829. doi:10.1099/ijsem.0.002786. - DOI - PubMed
    1. Adjemian J, Olivier KN, Seitz AE, Holland SM, Prevots DR. 2012. Prevalence of nontuberculous mycobacterial lung disease in U.S. Medicare beneficiaries. Am J Respir Crit Care Med 185:881–886. doi:10.1164/rccm.201111-2016OC. - DOI - PMC - PubMed
    1. Donohue MJ, Wymer L. 2016. Increasing prevalence rate of nontuberculous mycobacteria infections in five states, 2008-2013. Ann Am Thorac Soc 13:2143–2150. doi:10.1513/AnnalsATS.201605-353OC. - DOI - PubMed
    1. Mirsaeidi M, Machado RF, Garcia JG, Schraufnagel DE. 2014. Nontuberculous mycobacterial disease mortality in the United States, 1999–2010: a population-based comparative study. PLoS One 9:e91879. doi:10.1371/journal.pone.0091879. - DOI - PMC - PubMed
    1. Baldwin SL, Larsen SE, Ordway D, Cassell G, Coler RN. 2019. The complexities and challenges of preventing and treating nontuberculous mycobacterial diseases. PLoS Negl Trop Dis 13:e0007083. doi:10.1371/journal.pntd.0007083. - DOI - PMC - PubMed

MeSH terms

Substances