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
  • [1] Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system
    Else Marie Fykse
    Torbjörn Tjärnhage
    Tarmo Humppi
    Vilde Sørvik Eggen
    Andre Ingebretsen
    Gunnar Skogan
    Göran Olofsson
    Pär Wästerby
    Per-Åke Gradmark
    Anders Larsson
    Marius Dybwad
    Janet Martha Blatny
    Aerobiologia, 2015, 31 : 271 - 281
  • [2] MALDI-TOF for species identification of nonfermenting bacteria: Evaluation and comparison to 16S rDNA sequencing
    Mellmann, A.
    Cloud, J.
    Maier, T.
    Keckevoet, U.
    Rarnminger, I.
    Iwen, P.
    Dunn, J.
    Hall, G.
    Wilson, D.
    LaSala, P. R.
    Kostrzewa, M.
    Harmsen, D.
    INTERNATIONAL JOURNAL OF MEDICAL MICROBIOLOGY, 2007, 297 : 16 - 17
  • [3] Comparison of MALDI-TOF MS Biotyper and 16S rDNA sequencing for the identification of Pseudomonas species isolated from fish
    Kacaniova, Miroslava
    Kluga, Alina
    Kantor, Attila
    Medo, Juraj
    Ziarovska, Jana
    Puchalski, Czeslaw
    Terentjeva, Margarita
    MICROBIAL PATHOGENESIS, 2019, 132 : 313 - 318
  • [4] Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
    Schroettner, Percy
    Gunzer, Florian
    Schueppel, Jana
    Rudolph, Wolfram W.
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2016, (113):
  • [5] Comparison of VITEK2, MALDI-TOF MS, and 16S rDNA sequencing for identification of Myroides odoratus and Myroides odoratimimus
    Schroettner, Percy
    Rudolph, Wolfram W.
    Eing, Bodo R.
    Bertram, Sebastian
    Gunzer, Florian
    DIAGNOSTIC MICROBIOLOGY AND INFECTIOUS DISEASE, 2014, 79 (02) : 155 - 159
  • [6] Identification of Salmonella and Staphylococcus aureus Using 16S rDNA Sequencing, MALDI-TOF-MS and VITEK System
    Meng L.
    Niu Q.
    Lian L.
    Huang J.
    Cui S.
    Yan S.
    Li F.
    Yang B.
    Journal of Chinese Institute of Food Science and Technology, 2021, 21 (10) : 197 - 205
  • [7] Rapid species-level identification of vaginal and oral lactobacilli using MALDI-TOF MS analysis and 16S rDNA sequencing
    Anderson, Annette Carola
    Sanunu, Mohamed
    Schneider, Christian
    Clad, Andreas
    Karygianni, Lamprini
    Hellwig, Elmar
    Al-Ahmad, Ali
    BMC MICROBIOLOGY, 2014, 14
  • [8] Identification of environmental Actinobacteria in buildings by means of chemotaxonomy, 16S rRNA sequencing, and MALDI-TOF MS
    Chudzik, Anna
    Jalkanen, Kaisa
    Taubel, Martin
    Szponar, Bogumila
    Pasciak, Mariola
    MICROBIOLOGY SPECTRUM, 2024, 12 (03):
  • [9] Rapid species-level identification of vaginal and oral lactobacilli using MALDI-TOF MS analysis and 16S rDNA sequencing
    Annette Carola Anderson
    Mohamed Sanunu
    Christian Schneider
    Andreas Clad
    Lamprini Karygianni
    Elmar Hellwig
    Ali Al-Ahmad
    BMC Microbiology, 14
  • [10] Evaluation of MALDI-TOF mass spectrometry and MALDI BioTyper in comparison to 16S rDNA sequencing for the identification of bacteria isolated from Arctic sea water
    Timperio, Anna Maria
    Gorrasi, Susanna
    Zolla, Lello
    Fenice, Massimiliano
    PLOS ONE, 2017, 12 (07):