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Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system.
Fykse, Else Marie; Tjärnhage, Torbjörn; Humppi, Tarmo; Eggen, Vilde Sørvik; Ingebretsen, Andre; Skogan, Gunnar; Olofsson, Göran; Wästerby, Pär; Gradmark, Per-Åke; Larsson, Anders; Dybwad, Marius; Blatny, Janet Martha.
Afiliación
  • Fykse EM; 1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
  • Tjärnhage T; 4Swedish Defence Research Agency (FOI), Umeå, Sweden.
  • Humppi T; Defence Forces Technical Research Centre, CBRN Defence (PvTT), Lakiala, Finland.
  • Eggen VS; 1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
  • Ingebretsen A; 2Oslo University Hospital (OUS), Rikshospitalet, Oslo, Norway.
  • Skogan G; 1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
  • Olofsson G; 4Swedish Defence Research Agency (FOI), Umeå, Sweden.
  • Wästerby P; 4Swedish Defence Research Agency (FOI), Umeå, Sweden.
  • Gradmark PÅ; 4Swedish Defence Research Agency (FOI), Umeå, Sweden.
  • Larsson A; 4Swedish Defence Research Agency (FOI), Umeå, Sweden.
  • Dybwad M; 1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
  • Blatny JM; 1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
Aerobiologia (Bologna) ; 31(3): 271-281, 2015.
Article en En | MEDLINE | ID: mdl-32214629
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® 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Aerobiologia (Bologna) Año: 2015 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Aerobiologia (Bologna) Año: 2015 Tipo del documento: Article País de afiliación: Noruega Pais de publicación: Países Bajos