MALDI-TOF Mass Spectrometry and 16S rRNA Gene Sequence Analysis for the Identification of Foodborne Clostridium Spp.

被引:9
作者
Sulaiman, Irshad M. [1 ]
Miranda, Nancy [1 ]
Simpson, Steven [1 ]
机构
[1] US FDA, Microbiol Sci Branch, Southeast Food & Feed Lab, Off Regulatory Sci,Off Regulatory Affairs, 60 8th St NE, Atlanta, GA 30309 USA
关键词
LASER-DESORPTION IONIZATION; BRUKER BIOTYPER; CAMPYLOBACTER-JEJUNI; EXTRACTION METHOD; RAPID DETECTION; TIME; PERFRINGENS; MS; PCR; SYSTEMS;
D O I
10.1093/jaoacint/qsab070
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Background: Clostridium is a genus of Gram-positive, spore-forming, anaerobic bacteria comprising approximately 100 species. Some Clostridium spp. (C. botulinum, C. perfringens, C. tetani, and C. difficile) have been recognized to cause acute food poisoning, botulism, tetanus, and diarrheal illness in humans. Thus, rapid identification of Clostridium spp. is critical for source-tracking of contaminated food and to understand the transmission dynamics of these foodborne pathogens. Objective: This study was carried out to rapidly identify Clostridium-like isolates by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) MS and rRNA sequencing methods. Method: Thirty-three Clostridium-like isolates were recovered from various baby food and surveillance samples. Species identification of these isolates was accomplished using the VITEK MS system. Sequence characterization of the 16S rRNA region was done on an ABI 3500xL Genetic Analyzer. Results: The VITEK MS system identified 28 of the 33 Clostridium-like isolates with a high confidence value (99.9%); no identification was observed for the remaining five isolates. Nucleotide sequencing of the 16S rRNA region identified all 33 Clostridium-like isolates. Furthermore, while characterizing the 16S rRNA gene, 11 distinct Clostridium spp. (Clostridium aciditolerans, Clostridium aerotolerans, Clostridium argentinense, Clostridium beijerinckii, Clostridium bifermentans, Clostridium butyricum, Clostridium cochlearium, Clostridium difficile, Clostridium perfringens, Clostridium sporogenes, and Clostridium subterminale) were recognized among the 33 Clostridium-like isolates. One of the Clostridium-like isolates was identified as Citrobacter amalonaticus by both diagnostic methods. The generated 16S rRNA sequences matched completely (100%) with sequences available in GenBank for Clostridium and Citrobacter species. Species identification attained using the VITEK MS for the Clostridium-like isolates was comparable to that from the 16S rRNA sequencing-based data. Conclusions: The VITEK MS and 16S rRNA sequence analysis can be implemented in the species identification of Clostridium spp. isolates of public health importance. Highlights: MALDI-TOF MS and 16S rRNA sequencing can be used in the species identification of Clostridium species.
引用
收藏
页码:1381 / 1388
页数:8
相关论文
共 50 条
  • [31] MALDI-TOF mass spectrometry tools for bacterial identification in clinical microbiology laboratory
    Carbonnelle, Etienne
    Mesquita, Cecile
    Bille, Emmanuelle
    Day, Nesrine
    Dauphin, Brunhilde
    Beretti, Jean-Luc
    Ferroni, Agnes
    Gutmann, Laurent
    Nassif, Xavier
    CLINICAL BIOCHEMISTRY, 2011, 44 (01) : 104 - 109
  • [32] Identification of Comamonas species using 16S rRNA gene sequence
    Yadav, Vimlesh
    Prakash, Satya
    Srivastava, Shipra
    Verma, Praveen Chandra
    Gupta, Vijayta
    Basu, Vaishali
    Rawat, Anil Kumar
    BIOINFORMATION, 2009, 3 (09) : 381 - 383
  • [33] The use of MALDI-TOF mass spectrometry for rapid identification of Mannheimia haemolytica
    Puchalski, Andrzej
    Urban-Chmiel, Renata
    Dec, Marta
    Stegierska, Diana
    Wernicki, Andrzej
    JOURNAL OF VETERINARY MEDICAL SCIENCE, 2016, 78 (08) : 1339 - 1342
  • [34] Solvent effect in polymer analysis by MALDI-TOF mass spectrometry
    Wu, Ting
    Zhang, Chuanjing
    Ren, Hongxin
    Xi, Yidan
    Du, Yiping
    Peng, Yaxin
    INTERNATIONAL JOURNAL OF POLYMER ANALYSIS AND CHARACTERIZATION, 2017, 22 (02) : 160 - 168
  • [35] MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis
    Singhal, Neelja
    Kumar, Manish
    Kanaujia, Pawan K.
    Virdi, Jugsharan S.
    FRONTIERS IN MICROBIOLOGY, 2015, 6
  • [36] Advancement in the routine identification of anaerobic bacteria by MALDI-TOF mass spectrometry
    Coltella, L.
    Mancinelli, L.
    Onori, M.
    Lucignano, B.
    Menichella, D.
    Sorge, R.
    Raponi, M.
    Mancini, R.
    Russo, C.
    EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES, 2013, 32 (09) : 1183 - 1192
  • [37] New approach for fast identification of cyclitols by MALDI-TOF mass spectrometry
    Al-Suod, Hossam
    Pomastowski, Pawel
    Ligor, Magdalena
    Railean-Plugaru, Viorica
    Buszewski, Boguslaw
    PHYTOCHEMICAL ANALYSIS, 2018, 29 (05) : 528 - 537
  • [38] Combination of MALDI-TOF Mass Spectrometry and Machine Learning for Rapid Antimicrobial Resistance Screening: The Case of Campylobacter spp.
    Feucherolles, Maureen
    Nennig, Morgane
    Becker, Soeren L.
    Martiny, Delphine
    Losch, Serge
    Penny, Christian
    Cauchie, Henry-Michel
    Ragimbeau, Catherine
    FRONTIERS IN MICROBIOLOGY, 2022, 12
  • [39] 16S-ARDRA and MALDI-TOF mass spectrometry as tools for identification of Lactobacillus bacteria isolated from poultry
    Dec, Marta
    Puchalski, Andrzej
    Urban-Chmiel, Renata
    Wernicki, Andrzej
    BMC MICROBIOLOGY, 2016, 16
  • [40] Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry
    Chaumeau, Victor
    Piarroux, Martine
    Kulabkeeree, Thithiworada
    Sawasdichai, Sunisa
    Inta, Aritsara
    Watthanaworawit, Wanitda
    Nosten, Francois
    Piarroux, Renaud
    Nabet, Cecile
    PLOS ONE, 2024, 19 (07):