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Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system
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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087874/ https://www.ncbi.nlm.nih.gov/pubmed/32214629 http://dx.doi.org/10.1007/s10453-015-9363-9 |
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author | 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 |
author_facet | 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 |
author_sort | Fykse, Else Marie |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7087874 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-70878742020-03-23 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 Aerobiologia (Bologna) Original Paper 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. Springer Netherlands 2015-01-17 2015 /pmc/articles/PMC7087874/ /pubmed/32214629 http://dx.doi.org/10.1007/s10453-015-9363-9 Text en © Springer Science+Business Media Dordrecht 2015 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper 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 Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title | Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title_full | Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title_fullStr | Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title_full_unstemmed | Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title_short | Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system |
title_sort | identification of airborne bacteria by 16s rdna sequencing, maldi-tof ms and the midi microbial identification system |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087874/ https://www.ncbi.nlm.nih.gov/pubmed/32214629 http://dx.doi.org/10.1007/s10453-015-9363-9 |
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