Abstract
This study evaluated the reliability of MALDI-TOF MS coupled with statistical tools for the identification of Streptococcus mutans in comparison with PCR-based techniques. Bacterial isolates were identified and serotyped by conventional PCR, using S. mutans species and serotype-specific primers. For bacterial identification, mass spectra data from S. mutans and other streptococci were compared with Biotyper V 3.1 database and the mass peak lists were examined by cluster and principal component (PCA) analysis. Identification of potential biomarkers was performed using UniProtKB/Swiss-Prot and UniProtKB/TrEMBL databases and BLAST tool of the NCBI database. PCR identified 100% of the isolates as S. mutans. S. mutans strains were typed as serotypes c (85.6%), e (8.6%), k (4.8%), and f (0.9%). Although only the 70% of the strains tested were identified at species level by the Biotyper database, PCA and cluster analysis of mass peaks allowed the identification of 100% S. mutans isolates and its differentiation from the other oral and non-oral streptococci. One mass peak at m/z value of 9572.73 was identified as species-specific biomarker for S. mutans. No biomarkers were identified for S. mutans serotypes.
Key points
• MALDI-TOF MS coupled with statistical tools for the identification of S. mutans.
• Detection of species identifying biomarkers by MALDI-TOF MS.
• PCR identification and serotyping of S. mutans from saliva samples.
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Data availability
The data sets used and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Angeletti S, Dicuonzo G, Avola A, Crea F, Dedej E, Vailati F, Farina C, De Florio L (2015) Viridans group streptococci clinical isolates: MALDI-TOF mass spectrometry versus gene sequence-based identification. PLoS One 10:1–12. https://doi.org/10.1371/journal.pone.0120502
Carbonnelle E, Mesquita C, Bille E, Day N, Dauphin B, Beretti JL, Ferroni A, Gutmann L, Nassif X (2011) MALDI-TOF mass spectrometry tools for bacterial identification in clinical microbiology laboratory. Clin Biochem 44:104–109. https://doi.org/10.1016/j.clinbiochem.2010.06.017
Cherkaoui A, Hibbs J, Emonet S, Tangomo M, Girard M, Francois P, Schrenzel J (2010) Comparison of two matrix-assisted laser desorption ionization-time of flight mass spectrometry methods with conventional phenotypic identification for routine identification of bacteria to the species level. J Clin Microbiol 48:1169–1175. https://doi.org/10.1128/JCM.01881-09
Cho YT, Kuo CH, Wang SSW, Chen YS, Weng BC, Lee YC, Cheng CN, Shieia J, Wu DC (2013) Differentiation of virulence of Helicobacter pylori by matrix-assisted laser desorption/ionization mass spectrometry and multivariate analyses. Clin Chim Acta 424:123–130. https://doi.org/10.1016/j.cca.2013.05.013
Dieckmann R, Strauch E, Alter T (2010) Rapid identification and characterization of Vibrio species using whole-cell MALDI-TOF mass spectrometry. J Appl Microbiol 109:199–211. https://doi.org/10.1111/j.1365-2672.2009.04647.x
Fan WT, Qin TT, Bi RR, Kang HQ, Ma P, Gu B (2017) Performance of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry system for rapid identification of streptococci: a review. Eur J Clin Microbiol Infect Dis 36:1005–1012. https://doi.org/10.1007/s10096-016-2879-2
Fernández-Álvarez C, Torres-Corral Y, Saltos-Rosero N, Santos Y (2017) MALDI-TOF mass spectrometry for rapid differentiation of Tenacibaculum species pathogenic for fish. Appl Microbiol Biotechnol 101:5377–5390. https://doi.org/10.1007/s00253-017-8324-3
Fernández-Álvarez C, Torres-Corral Y, Santos Y (2018) Use of ribosomal proteins as biomarkers for identification of Flavobacterium psychrophilum by MALDI-TOF mass spectrometry. J Proteome 170:59–69. https://doi.org/10.1016/j.jprot.2017.09.007
Fernández-No IC, Böhme K, Calo-Mata P, Cañas B, Gallardo JM, Barros-Velázquez J (2012) Isolation and characterization of Streptococcus parauberis from vacuum-packaging refrigerated seafood products. Food Microbiol 30:91–97. https://doi.org/10.1016/j.fm.2011.10.012
Freiwald A, Sauer S (2009) Phylogenetic classification and identification of bacteria by mass spectrometry. Nat Protoc 4:732–742. https://doi.org/10.1038/nprot.2009.37
Fukuda A, Hirose M, Murata Y, Otomo M, Yahata S, Fujita Y, Saitoh M (2017) Examination of site specificity in oral cavity of cariogenic bacteria in dental plaque by real-time PCR method. DOCR 3:1–5. https://doi.org/10.15761/DOCR.1000S1005
Ge MC, Kuo AJ, Liu KL, Wen YH, Chia JH, Chang PY, Lee MH, Wu TL, Chang SC, Lu JJ (2017) Routine identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: success rate, economic analysis, and clinical outcome. J Microbiol Immunol Infect 50:662–668. https://doi.org/10.1016/j.jmii.2016.06.002
Gopal J, Wu HF (2015) A brief case study demonstrating the applicability of MALDI mass spectrometry for detecting bacteria in dental samples. RSC Adv 5:14090–14094. https://doi.org/10.1039/c4ra15212c
Hindré T, Didelot S, Le Pennec JP, Haras D, Dufour A, Vallée-Réhel K (2003) Bacteriocin detection from whole bacteria by matrix-assisted laser desorption ionization-time of flight mass spectrometry. Appl Environ Microbiol 69:1051–1058. https://doi.org/10.1128/AEM.69.2.1051-1058.2003
Hirasawa M, Takada K (2003) A new selective medium for Streptococcus mutans and the distribution of S. mutans and S. sobrinus and their serotypes in dental plaque. Caries Res 37:212–217. https://doi.org/10.1159/000070447
Hoshino T, Kawaguchi M, Shimizu N, Hoshino N, Ooshima T, Fujiwara T (2004) PCR detection and identification of oral streptococci in saliva samples using gtf genes. Diagn Microbiol Infect Dis 48:195–199. https://doi.org/10.1016/j.diagmicrobio.2003.10.002
Inenaga C, Hokamura K, Nakano K, Nomura R, Naka S, Ohashi T, Ooshima T, Kuriyama N, Hamasaki T, Wada K, Umemura K, Tanaka T (2018) A potential new risk factor for stroke: Streptococcus mutans with collagen-binding protein. World Neurosurg 113:e77–e81. https://doi.org/10.1016/j.wneu.2018.01.158
Isaksson J, Rasmussen M, Nilson B, Stadler LS, Kurland S, Olaison L, Ek E, Herrmann B (2015) Comparison of species identification of endocarditis associated Viridans streptococci using rnpB genotyping and 2 MALDI-TOF systems. Diagn Microbiol Infect Dis 81:240–245. https://doi.org/10.1016/j.diagmicrobio.2014.12.007
Karger A (2016) Current developments to use linear MALDI-TOF spectra for the identification and typing of bacteria and the characterization of other cells/organisms related to infectious diseases. Proteomics Clin Appl 10:982–993. https://doi.org/10.1002/prca.201600038
Kärpänoja P, Harju I, Rantakokko-Jalava K, Haanperä M, Sarkkinen H (2014) Evaluation of two matrix-assisted laser desorption ionization-time of flight mass spectrometry systems for identification of Viridans group streptococci. Eur J Clin Microbiol Infect Dis 33:779–788. https://doi.org/10.1007/s10096-013-2012-8
Keys CJ, Dare DJ, Sutton H, Wells G, Lunt M, McKenna T, McDowall M, Shah HN (2004) Compilation of a MALDI-TOF mass spectral database for the rapid screening and characterisation of bacteria implicated in human infectious diseases. Infect Genet Evol 4:221–242. https://doi.org/10.1016/j.meegid.2004.02.004
Kim SW, Jang B, Lee JS, Im SP, Lazarte JMS, Seo JP, Jai Lee W, Sung Kim J, Jung TS (2015) Comparison of proteome typing and serotyping of Streptococcus parauberis isolates from olive flounder (Paralichthys olivaceus). J Microbiol Methods 118:168–172. https://doi.org/10.1016/j.mimet.2015.09.015
Kishi M, Abe A, Kishi K, Ohara-Nemoto Y, Kimura S, Yonemitsu M (2009) Relationship of quantitative salivary levels of Streptococcus mutans and S. sobrinus in mothers to caries status and colonization of mutans streptococci in plaque in their 2.5-year-old children. Community Dent Oral Epidemiol 37:241–249. https://doi.org/10.1111/j.1600-0528.2009.00472.x
López Roa P, Sánchez Carrillo C, Marín M, Romero F, Cercenado E, Bouza E (2013) Value of matrix-assisted laser desorption ionization-time of flight for routine identification of viridans group streptococci causing bloodstream infections. Clin Microbiol Infect 19:438–444. https://doi.org/10.1111/j.1469-0691.2012.03837.x
López-Fernández H, Santos HM, Capelo JL, Fdez-Riverola F, Glez-Peña D, Reboiro-Jato M (2015) Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery. BMC Bioinformatics 16:1–12. https://doi.org/10.1186/s12859-015-0752-4
Mitchell SC, Ruby JD, Moser S, Momeni S, Smith A, Osgood R, Litaker M, Childers N (2009) Maternal transmission of mutans streptococci in severe-early childhood caries. Pediatr Dent 31:193–201
Moura H, Woolfitt AR, Carvalho MG, Pavlopoulos A, Teixeira LM, Satten GA, Barr JR (2008) MALDI-TOF mass spectrometry as a tool for differentiation of invasive and noninvasive Streptococcus pyogenes isolates. FEMS Immunol Med Microbiol 53:333–342. https://doi.org/10.1111/j.1574-695X.2008.00428.x
Nakano K, Ooshima T (2009) Serotype classification of Streptococcus mutans and its detection outside the oral cavity. Future Microbiol 4:891–902. https://doi.org/10.2217/fmb.09.64
Nakano K, Nomura R, Shimizu N, Nakagawa I, Hamada S, Ooshima T (2004) Development of a PCR method for rapid identification of new Streptococcus mutans serotype k strains. J Clin Microbiol 42:4925–4930. https://doi.org/10.1128/JCM.42.11.4925-4930.2004
Nakano K, Nemoto H, Nomura R, Homma H, Yoshioka H, Shudo Y, Hata H, Toda K, Taniguchi K, Amano A, Ooshima T (2007a) Serotype distribution of Streptococcus mutans a pathogen of dental caries in cardiovascular specimens from Japanese patients. J Med Microbiol 56:551–556. https://doi.org/10.1099/jmm.0.47051-0
Nakano K, Lapirattanakul J, Nomura R, Nemoto H, Alaluusua S, Grönroos L, Vaara M, Hamada S, Ooshima T, Nakagawa I (2007b) Streptococcus mutans clonal variation revealed by multilocus sequence typing. J Clin Microbiol 45:2616–2625
Oda Y, Hayashi F, Wakita A, Nagatani Y, Okada M (2016) Five-year longitudinal study of dental caries risk associated with Streptococcus mutans and Streptococcus sobrinus in individuals with intellectual disabilities. J Oral Sci 59:39–46. https://doi.org/10.2334/josnusd.16-0325
Oho T, Yamashita Y, Shimazaki Y, Kushiyama M, Koga T (2000) Simple and rapid detection of Streptococcus mutans and Streptococcus sobrinus in human saliva by polymerase chain reaction. Oral Microbiol Immunol 15:258–262. https://doi.org/10.1034/j.1399-302X.2000.150408.x
Posteraro B, De Carolis E, Vella A, Sanguinetti M (2013) MALDI-TOF mass spectrometry in the clinical mycology laboratory: identification of fungi and beyond. Expert Rev Proteomics 10:151–164. https://doi.org/10.1586/epr.13.8
Rao A, Austin R (2014) Serotype specific polymerase chain reaction identifies a higher prevalence of Streptococcus mutans serotype k and e in a random group of children with dental caries from the Southern region of India. Contemp Clin Dent 5:296–301. https://doi.org/10.4103/0976-237x.137905
Redmo Emanuelsson I-M, Carlsson P, Hamberg K, Bratthall D (2003) Tracing genotypes of mutans streptococci on tooth sites by random amplified polymorphic DNA (RAPD) análisis. Oral Microbiol Immunol 18:24–29. https://doi.org/10.1034/j.1399-302X.2002.180104.x
Rupf S, Hannig M, Breitung K, Schellenberger W, Eschrich K, Remmerbach T, Kneist S (2008) Phenotypic heterogeneity of Streptococcus mutans in dentin. J Dent Res 87:1172–1176. https://doi.org/10.1177/154405910808701203
Saltos Rosero N, Seoane Prado R, Aguilera Guirao A, Santos Y (2020) Molecular and serological typing of Streptococcus mutans strains isolated from young Galician population. Int Microbiol. https://doi.org/10.1007/s10123-020-00132-2
Shao C, Tian Y, Dong Z, Gao J, Gao Y, Jia X, Guo G, Wen X, Jiang C, Zhang X (2012) The use of principal component analysis in MALDI-TOF MS: a powerful tool for establishing a mini-optimized proteomic profile. Am J Biomed Sci 4:85–101
Shibata Y, Ozaki K, Seki M, Kawato T, Tanaka H, Nakano Y, Yamashita Y (2003) Analysis of loci required for determination of serotype antigenicity in Streptococcus mutans and its clinical utilization. J Clin Microbiol 41:4107–4112. https://doi.org/10.1128/JCM.41.9.4107-4112.2003
Su TY, Lee MH, Huang CT, Liu TP, Lu JJ (2018) The clinical impact of patients with bloodstream infection with different groups of Viridans group streptococci by using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). Medicine 97:50. https://doi.org/10.1097/MD.0000000000013607
Suarez S, Ferroni A, Lotz A, Jolley KA, Guérin P, Leto J, Dauphin B, Jamet A, Maiden MCJ, Nassif X, Armengaud J (2013) Ribosomal proteins as biomarkers for bacterial identification by mass spectrometry in the clinical microbiology laboratory. J Microbiol Methods 94:390–396. https://doi.org/10.1016/j.mimet.2013.07.021
Swedan SF, Obeidat HM, Shakhatreh MAK (2018) Molecular typing and detection of collagen binding genes among Streptococcus mutans isolated from diabetic and non-diabetic individuals in Northern Jordan. Jordan J Biol Sci 11:293–300. http://jjbs.hu.edu.jo/vol11.htm. Accessed July 2018
TeKippe EME, Shuey S, Winkler DW, Butler MA, Burnham CAD (2013) Optimizing identification of clinically relevant gram-positive organisms by use of the Bruker biotyper matrix-assisted laser desorption ionization-time of flight mass spectrometry system. J Clin Microbiol 51:1421–1427. https://doi.org/10.1128/JCM.02680-12
Theel ES, Schmitt BH, Hall L, Cunningham SA, Walchak RC, Patel R, Wengenack NL (2012) Formic acid-based direct, on-plate testing of yeast and Corynebacterium species by Bruker Biotyper matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 50:3093–3095. https://doi.org/10.1128/JCM.01045-12
Thompson J, Higgins D, Gibson T (1994) CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res 22:4673–4680
Torres-Corral Y, Fernández-Álvarez C, Santos Y (2019) Proteomic and molecular fingerprinting for identification and tracking of fish pathogenic Streptococcus. Aquaculture 498:322–334. https://doi.org/10.1016/j.aquaculture.2018.08.041
Vrioni G, Tsiamis C, Oikonomidis G, Theodoridou K, Kapsimali V, Tsakris A (2018) MALDI-TOF mass spectrometry technology for detecting biomarkers of antimicrobial resistance: current achievements and future perspectives. Ann Transl Med 6:240–240. https://doi.org/10.21037/atm.2018.06.28
Watanabe I, Kuriyama N, Miyatani F, Nomura R, Naka S, Nakano K, Ihara M, Iwai K, Matsui D, Ozaki E, Koyama T, Nishigaki M, Yamamoto T, Tamura A, Mizuno Y, Akazawa K, Takada A, Takeda K, Yamada K, Nakagawa M, Tanaka T, Kanamura N, Friedland RP, Watanabe Y (2016) Oral Cnm-positive Streptococcus mutans expressing collagen binding activity is a risk factor for cerebral microbleeds and cognitive impairment. Sci Rep 6:1–10. https://doi.org/10.1038/srep38561
Wilen CB, McMullen AR, Burnham CAD (2015) Comparison of sample preparation methods, instrumentation platforms, and contemporary commercial databases for identification of clinically relevant mycobacteria by matrix-assisted laser desorption ionization - time of flight mass spectrometry. J Clin Microbiol 53:2308–2315. https://doi.org/10.1128/JCM.00567-15
Yano A, Kaneko N, Ida H, Yamaguchi T, Hanada N (2002) Real-time PCR for quantification of Streptococcus mutans. FEMS Microbiol Lett 217:23–30. https://doi.org/10.1016/S0378-1097(02)01028
Yoshida A, Suzuki N, Nakano Y, Kawada M, Oho T, Koga T (2003) Development of a 5′ nuclease-based real-time PCR assay for quantitative detection of cariogenic dental pathogens Streptococcus mutans and Streptococcus sobrinus. J Clin Microbiol 41:4438–4441. https://doi.org/10.1128/JCM.41.9.4438-4441.2003
Acknowledgements
Nancy Saltos Rosero thanks the Secretaría de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT) of Ecuador for the predoctoral scholarship, and Yolanda Torres Corral was partially supported by the Proof of Concept Program “Acelerador de transferencia” from the Banco Santander and Universidade de Santiago de Compostela. The authors are grateful to Dr. Yoshihisa Yamashita from Kyushu University for supplying the reference strains of S. mutans of the serotypes c, f, e, and k.
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Nancy Saltos Rosero, Yolanda Torres Corral, Clara Fernández Álvarez, Antonio Aguilera Guirao, Rafael Seoane Prado, and Ysabel Santos Rodríguez. The first draft of the manuscript was written by Nancy Saltos Rosero, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Saltos Rosero, N., Torres Corral, Y., Fernández Álvarez, C. et al. Usefulness of matrix-assisted laser desorption ionization/time of flight mass spectrometry for the identification of Streptococcus mutans. Appl Microbiol Biotechnol 104, 10601–10612 (2020). https://doi.org/10.1007/s00253-020-10980-7
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DOI: https://doi.org/10.1007/s00253-020-10980-7