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

被引:0
作者
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
机构
[1] Norwegian Defence Research Establishment (FFI),Defence Forces Technical Research Centre
[2] Oslo University Hospital (OUS),undefined
[3] Rikshospitalet,undefined
[4] CBRN Defence (PvTT),undefined
[5] Swedish Defence Research Agency (FOI),undefined
来源
Aerobiologia | 2015年 / 31卷
关键词
Airborne bacteria; Identification; 16S rDNA sequencing; MALDI-TOF MS; MIDI MIS analysis;
D O I
暂无
中图分类号
学科分类号
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® 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:10
相关论文
共 50 条
  • [31] MALDI-TOF MS and Filamentous Fungal Identification: A Success Story?
    Hendrickx M.
    [J]. Current Fungal Infection Reports, 2017, 11 (2) : 60 - 65
  • [32] Evaluation of the Biotyper MALDI-TOF MS system for identification of Staphylococcus species
    Zhu, Wenming
    Sieradzki, Krzysztof
    Albrecht, Valerie
    McAllister, Sigrid
    Lin, Wen
    Stuchlik, Olga
    Limbago, Brandi
    Pohl, Jan
    Rasheed, J. Kamile
    [J]. JOURNAL OF MICROBIOLOGICAL METHODS, 2015, 117 : 14 - 17
  • [33] Enhanced procedures for mosquito identification by MALDI-TOF MS
    Roland Bamou
    Monique Melo Costa
    Adama Zan Diarra
    Ademir Jesus Martins
    Philippe Parola
    Lionel Almeras
    [J]. Parasites & Vectors, 15
  • [34] Identification of flea species using MALDI-TOF/MS
    Yssouf, Amina
    Socolovschi, Cristina
    Leulmi, Hamza
    Kernif, Tahar
    Bitam, Idir
    Audoly, Gilles
    Almeras, Lionel
    Raoult, Didier
    Parola, Philippe
    [J]. COMPARATIVE IMMUNOLOGY MICROBIOLOGY AND INFECTIOUS DISEASES, 2014, 37 (03) : 153 - 157
  • [35] 16S rDNA high-throughput sequencing and MALDI-TOF MS are complementary when studying psychrotrophic bacterial diversity of raw cows' milk
    Zhang, Dong
    Palmer, Jon
    Teh, Koon Hoong
    Biggs, Patrick
    Flint, Steve
    [J]. INTERNATIONAL DAIRY JOURNAL, 2019, 97 : 86 - 91
  • [36] Enhanced procedures for mosquito identification by MALDI-TOF MS
    Bamou, Roland
    Costa, Monique Melo
    Diarra, Adama Zan
    Martins, Ademir Jesus
    Parola, Philippe
    Almeras, Lionel
    [J]. PARASITES & VECTORS, 2022, 15 (01)
  • [37] MALDI-TOF MS for identification of porcine Brachyspira species
    Prohaska, S.
    Pflueger, V.
    Ziegler, D.
    Scherrer, S.
    Frei, D.
    Lehmann, A.
    Wittenbrink, M. M.
    Huber, H.
    [J]. LETTERS IN APPLIED MICROBIOLOGY, 2014, 58 (03) : 292 - 298
  • [38] Rapid identification of Streptomyces isolates by MALDI-TOF MS
    Loucif, Lotfi
    Bendjama, Esma
    Gacemi-Kirane, Djamila
    Rolain, Jean-Marc
    [J]. MICROBIOLOGICAL RESEARCH, 2014, 169 (12) : 940 - 947
  • [39] Identification of Elizabethkingia species by MALDI-TOF MS proteotyping
    Takei, Satomi
    Teramoto, Kanae
    Sekiguchi, Yuji
    Miida, Takashi
    Kirikae, Teruo
    Tada, Tatsuya
    Tabe, Yoko
    [J]. MICROBIOLOGY SPECTRUM, 2025, 13 (03)
  • [40] Identification of European mosquito species by MALDI-TOF MS
    Amina Yssouf
    Philippe Parola
    Anders Lindström
    Tobias Lilja
    Grégorie L’Ambert
    Ulf Bondesson
    Jean-Michel Berenger
    Didier Raoult
    Lionel Almeras
    [J]. Parasitology Research, 2014, 113 : 2375 - 2378