Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system

被引:26
|
作者
Fykse, Else Marie [1 ]
Tjarnhage, Torbjorn [2 ]
Humppi, Tarmo [3 ]
Eggen, Vilde Sorvik [1 ]
Ingebretsen, Andre [4 ]
Skogan, Gunnar [1 ]
Olofsson, Goran [2 ]
Wasterby, Par [2 ]
Gradmark, Per-Ake [2 ]
Larsson, Anders [2 ]
Dybwad, Marius [1 ]
Blatny, Janet Martha [1 ]
机构
[1] Norwegian Def Res Estab FFI, N-2027 Kjeller, Norway
[2] Swedish Def Res Agcy FOI, Umea, Sweden
[3] CBRN Def PvTT, Def Forces Tech Res Ctr, Lakiala, Finland
[4] Oslo Univ Hosp, Rikshosp, Oslo, Sweden
关键词
Airborne bacteria; Identification; 16S rDNA sequencing; MALDI-TOF MS; MIDI MIS analysis; DESORPTION IONIZATION-TIME; FLIGHT MASS-SPECTROMETRY; TEMPORAL VARIABILITY; LEGIONELLA BACTERIA; AEROSOL-PARTICLES; AIR; DIVERSITY; URBAN; ENVIRONMENTS;
D O I
10.1007/s10453-015-9363-9
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The aim of this study was to collect and identify airborne bacteria in Norway, Sweden and Finland and to compare three different technologies for identifying collected airborne bacterial isolates: the "gold standard" method 16S rDNA sequencing, MALDI-TOF MS using the MALDI Biotyper 2.0 and the MIDI Sherlock(A (R)) Microbial Identification System (MIDI MIS system). Airborne bacteria were collected during three different periods from May to October 2009 using air sampling directly on agar plates. A total of 140 isolates were collected during three sampling campaigns, and 74 % (103) of these isolates were analyzed by all three methods. The dominant genera in Norway and Finland were the gram-positive bacteria Bacillus and Staphylococcus, whereas the gram-negative bacterium Acinetobacter was the dominant genus in Sweden. Using 16S rDNA sequencing, MALDI-TOF MS and MIDI MIS analysis, 83, 79 and 75 %, respectively, of the isolates were identified and assigned to order or higher taxonomic levels. In this study, the MALDI-TOF MS combining with the MALDI Biotyper 2.0 classification tool was demonstrated to be a fast and reliable alternative for identifying the airborne bacterial isolates. These studies have increased knowledge about the airborne bacterial background in outdoor air, which can be useful for evaluating and improving the operational performance of biological detectors in various environments. To our knowledge, this is the first time that 16S rDNA sequencing, MALDI-TOF MS and MIDI MIS analysis technologies have been compared for their efficiency in identifying airborne bacteria.
引用
收藏
页码:271 / 281
页数:11
相关论文
共 50 条
  • [31] Utility of 16S rDNA Sequencing for Identification of Rare Pathogenic Bacteria
    Loong, Shih Keng
    Khor, Chee Sieng
    Jafar, Faizatul Lela
    AbuBakar, Sazaly
    JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2016, 30 (06) : 1056 - 1060
  • [32] Identification of contaminant bacteria in yeast by 16S RDNA gene sequencing
    de Carvalho-Netto, Osmar Vaz
    Rosa, Daniel Dias
    Aranha Camargo, Luis Eduardo
    SCIENTIA AGRICOLA, 2008, 65 (05): : 508 - 515
  • [33] It's a MALDI but it's a goodie: MALDI-TOF mass spectrometry for microbial identification
    Randell, Paul
    THORAX, 2014, 69 (08) : 776 - 778
  • [34] Comparative study of MALDI-TOF MS and VITEK 2 in bacteria identification
    Guo, Ling
    Ye, Liyan
    Zhao, Qiang
    Ma, Yanning
    Yang, Jiyong
    Luo, Yanping
    JOURNAL OF THORACIC DISEASE, 2014, 6 (05) : 534 - 538
  • [35] FTIR-assisted MALDI-TOF MS for the identification and typing of bacteria
    Feng, Bin
    Shi, Haimei
    Xu, Fuxing
    Hu, Fupin
    He, Jian
    Yang, Huayan
    Ding, Chuanfan
    Chen, Wenxiang
    Yu, Shaoning
    ANALYTICA CHIMICA ACTA, 2020, 1111 : 75 - 82
  • [36] Comparison of MALDI-TOF and 16S rRNA Methods in Identification of Viridans Group Streptococci
    Suzuk Yildiz, Serap
    Kaskatepe, Banu
    Altinok, Salih
    Cetin, Mustafa
    Karagoz, Alper
    Savas, Sumeyra
    MIKROBIYOLOJI BULTENI, 2017, 51 (01): : 1 - 9
  • [37] Microbial identification using MALDI-TOF MS profiling in a clinical setting
    Borovskaya, A.
    Ilina, E.
    Govorun, V.
    Morozova, O.
    Kruglov, A.
    Maier, T.
    Kostrzewa, M.
    INTERNATIONAL JOURNAL OF MEDICAL MICROBIOLOGY, 2009, 299 : 4 - 4
  • [38] Assessment of food microbiological indicators applied on poultry carcasses by culture combined MALDI-TOF MS identification and 16S rRNA amplicon sequencing
    Yu, Zhongjia
    Peruzy, Maria Francesca
    Dumolin, Charles
    Joossens, Marie
    Houf, Kurt
    FOOD MICROBIOLOGY, 2019, 82 : 53 - 61
  • [39] MALDI-TOF MS of Trichoderma: a model system for the identification of microfungi
    De Respinis, Sophie
    Vogel, Guido
    Benagli, Cinzia
    Tonolla, Mauro
    Petrini, Orlando
    Samuels, Gary J.
    MYCOLOGICAL PROGRESS, 2010, 9 (01) : 79 - 100
  • [40] Assessment of microbial communities on freshly killed wild boar meat by MALDI-TOF MS and 16S rRNA amplicon sequencing
    Peruzy, M. F.
    Murru, N.
    Yu, Z.
    Kerkhof, P-J
    Neola, B.
    Joossens, M.
    Proroga, Y. T. R.
    Houf, K.
    INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY, 2019, 301 : 51 - 60