Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
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
_version_ 1783509423314960384
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
work_keys_str_mv AT fykseelsemarie identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT tjarnhagetorbjorn identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT humppitarmo identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT eggenvildesørvik identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT ingebretsenandre identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT skogangunnar identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT olofssongoran identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT wasterbypar identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT gradmarkperake identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT larssonanders identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT dybwadmarius identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem
AT blatnyjanetmartha identificationofairbornebacteriaby16srdnasequencingmalditofmsandthemidimicrobialidentificationsystem