Identification of Bacillus spp. colonizing the nasal mucosa of healthy adults living in the suburban area using the matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF MS) system

1. Alispahic M. et al.: Species-specific identification and differentiation of Arcobacter, Helicobacter and Campylobacter by full-spectral matrix-associated laser desorption/ionization time of flight mass spectrometry analysis. J. Med. Microbiol., 59, 295, 2010.Search in Google Scholar

2. Ball S.C., Sepkowitz K.: Infection due to Bacillus cereus in an injection drug user with AIDS: bacteremia without morbidity. Clin. Infect. Dis., 19, 216, 1994.Search in Google Scholar

3. Barrie D. et al.: Contamination of hospital linen by Bacillus cereus. Epidemiol. Infect., 113, 297, 1994.10.1017/S0950268800051724Search in Google Scholar

4. Bernardo K. et al.: Identification and discrimination of Staphylococcus aureus strains using matrix-assisted laser desorption/ ionization-time of flight mass spectrometry. Proteomics, 2, 747, 2002.10.1002/1615-9861(200206)2:6<747::AID-PROT747>3.0.CO;2-VSearch in Google Scholar

5. Blue S.R., Singh V.R., Saubolle M.A.: Bacillus licheniformis bacteremia: five cases associated with indwelling central venous catheters. Clin. Infect. Dis., 20, 629, 1995.Search in Google Scholar

6. Böhme K. et al.: Species differentiation of seafood spoilage and pathogenic Gram-negative bacteria by MALDI-TOF mass fingerprinting. J. Proteome Res., 9, 3169, 2010.10.1021/pr100047qSearch in Google Scholar

7. Bryce E.A. et al.: Dissemination of Bacillus cereus in an intensive care unit. Infect. Control Hosp. Epidemiol., 14, 459, 1993.10.1086/646779Search in Google Scholar

8. Clark A.E. et al.: Matrix-assisted laser desorption ionization-time of flight mass spectrometry: a fundamental shift in the routine practice of clinical microbiology. Clin. Microbiol. Rev., 26, 547, 2013.10.1128/CMR.00072-12Search in Google Scholar

9. Connor N. et al.: Ecology of speciation in the genus Bacillus. Appl. Environ. Microbiol., 76, 1349, 2010.10.1128/AEM.01988-09Search in Google Scholar

10. Cotton D.J. et al.: Clinical features and therapeutic interventions in 17 cases of Bacillus bacteremia in an immunosuppressed patient population. J. Clin. Microbiol. 25, 672, 1987.10.1128/jcm.25.4.672-674.1987Search in Google Scholar

11. Curtis J.R, Wing A.J., Coleman J.C.: Bacillus cereus bacteraemia - a complication of intermittent haemodialysis. Lancet, 1, 136, 1967.Search in Google Scholar

12. Dickinson D.N. et al.: MALDI-TOF MS compared with other polyphasic taxonomy approaches for the identification and classification of Bacillus pumilus spores. J. Microbiol. Methods, 58, 1, 2004.10.1016/j.mimet.2004.02.011Search in Google Scholar

13. Dupont C. et al.: Identification of clinical coagulase-negative staphylococci, isolated in microbiology laboratories, by matrixassisted laser desorption/ionization-time of flight mass spectrometry and two automated systems. Clin. Microbiol. Infect., 16, 998, 2010.10.1111/j.1469-0691.2009.03036.xSearch in Google Scholar

14. Farrar W.E.: Serious infections due to “non-pathogenic” organisms of the genus Bacillus. Am. J. Med., 34, 134, 1963.10.1016/0002-9343(63)90047-0Search in Google Scholar

15. Freiwald A., Sauer S.: Phylogenetic classification and identification of bacteria by mass spectrometry. Nat. Protoc., 4, 732, 2009.Search in Google Scholar

16. Hotta Y. et al.: Classification of the genus Bacillus based on MALDITOF MS analysis of ribosomal proteins coded in S10 and spc operons. J. Agric. Food Chem., 59, 5222, 2011.10.1021/jf2004095Search in Google Scholar

17. Hsueh P.R. et al.: Nosocomial pseudo epidemic caused by Bacillus cereus traced to contaminated ethyl alcohol from a liquor factory. J. Clin. Microbiol., 37, 2280, 1999.10.1128/JCM.37.7.2280-2284.1999Search in Google Scholar

18. Ihde D.C., Armstrong D.: Clinical spectrum of infection due to Bacillus species. Am. J. Med., 55, 839, 1973.Search in Google Scholar

19. Ivanova E.P., Mikhailov V.V., Andreev L.A.: Marine bacilli and some approaches to their identification. Mikrobiol. Zhurnal, 54, 27, 1922 (in Russian).Search in Google Scholar

20. Knoester M. et al.: Routine identification of clinical isolates of anaerobic bacteria: matrix-assisted laser desorption ionizationtime of flight mass spectrometry performs better than conventional identification methods. J. Clin. Microbiol., 50, 1504, 2012.10.1128/JCM.06607-11Search in Google Scholar

21. Krishnamurthy T., Ross P.L., Rajamani U.: Detection of pathogenic and non-pathogenic bacteria by matrix-assisted laser desorption/ ionization time-of-flight mass spectrometry. Rapid Commun. Mass Spectrom., 10, 883, 1996.Search in Google Scholar

22. Lavigne J.P. et al.: Mass spectrometry: a revolution in clinical microbiology? Clin. Chem. Lab. Med., 36, 1, 2012.Search in Google Scholar

23. Lund B.M.: Foodborne, disease due to Bacillus and Clostridium species. Lancet, 336, 982, 1990.Search in Google Scholar

24. Lynn E.C. et al.: Identification of Enterobacteriaceae bacteria by direct matrix-assisted laser desorptiom/ionization mass spectrometric analysis of whole cells. Rapid Commun. Mass Spectrom., 13, 2022, 1999.10.1002/(SICI)1097-0231(19991030)13:20<2022::AID-RCM750>3.0.CO;2-3Search in Google Scholar

25. O’Day D.M. et al.: The problem of Bacillus infection with special emphasis on the virulence of Bacillus cereus. Ophthalmol., 88, 833, 1981.10.1016/S0161-6420(81)34960-4Search in Google Scholar

26. Oggioni M.R. et al.: Recurrent septicemia in an immunocompromised patient due to probiotic strains of Bacillus subtilis. J. Clin. Microbiol., 36, 325, 1998.10.1128/JCM.36.1.325-326.1998Search in Google Scholar

27. Ozkocaman V. et al. Bacillus spp. among hospitalized patients with haematological malignancies: clinical features, epidemics and outcomes. J. Hosp. Infect., 64, 169, 2006.10.1016/j.jhin.2006.05.014Search in Google Scholar

28. Pribil P., Fenselau C.: Characterization of enterobacteria using MALDI-TOF mass spectrometry. Anal. Chem., 77, 6092, 2005.Search in Google Scholar

29. Rajakaruna L. et al.: High throughput identification of clinical isolates of Staphylococcus aureus using MALDI-TOF MS of intact cells. Infect. Genet. Evol., 9, 507, 2009.10.1016/j.meegid.2009.01.012Search in Google Scholar

30. Satomi M., La Duc M.T., Venkateswaran K.: Bacillus safensis sp. nov., isolated from spacecraft and assembly-facility surfaces. Int. J. Syst. Evol. Microbiol., 56, 1735, 2006.Search in Google Scholar

31. Sauer S. et al.: Classification and identification of bacteria by mass spectrometry and computational analysis. PLoS ONE, 3, e2843, 2008. (doi: 10.1371/journal.pone. 0002843)Search in Google Scholar

32. Sorokulova I.: Modern status and perspectives of Bacillus bacteria as probiotics. J. Prob. Health., 1, 1000e106, 2013. (doi: 10.4172/2329-8901.1000e106)Search in Google Scholar

33. Tuazon C.U. et al.: Serious infections from Bacillus sp. JAMA, 241, 1137, 1979.10.1001/jama.1979.03290370041026Search in Google Scholar

34. Van Veen S., Claas E., Kuijper E.J.: High-throughput identification of bacteria and yeast by matrix-assisted laser desorption ionization- time of f light mass spectrometry in conventional medical microbiology laboratories. J. Clin. Microbiol., 48, 900, 2010.Search in Google Scholar

35. Wolters M. et al.: MALDI-TOF MS fingerprinting allows for discrimination of major methicillin-resistant Staphylococcus aureus lineages. Int. J. Med. Microbiol., 301, 64, 2011. 10.1016/j.ijmm.2010.06.002Search in Google Scholar