Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia

Detalhes bibliográficos
Autor(a) principal: AlMogbel,Mohammed Suliman
Data de Publicação: 2016
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Microbiology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200410
Resumo: Abstract The aim of this study was to identify different Clostridium spp. isolated from currency notes from the Ha’il region of Saudi Arabia in September 2014 using MALDI–TOF-MS. Clostridium spp. were identified by Bruker MALDI–TOF-MS and compared with VITEK 2. The confirmation of the presence of different Clostridium spp. was performed by determining the sequence of the 16S ribosomal RNA gene. In this study, 144 Clostridium spp. were isolated. Among these specimens, MALDI–TOF-MS could identify 88.8% (128/144) of the isolates to the species level and 92.3% (133/144) to the genus level, whereas, VITEK 2 identified 77.7% of the (112/144) isolates. The correct identification of the 144 isolates was performed by sequence analysis of the 500 bp 16S rRNA gene. The most common Clostridium spp. identified were Clostridium perfringens (67.36%), Clostridium subterminale (14.58%), Clostridium sordellii (9%) and Clostridium sporogenes (9%). The results of this study demonstrate that MALDI–TOF-MS is a rapid, accurate and user friendly technique for the identification of Clostridium spp. Additionally, MALDI–TOF-MS has advantages over VITEK 2 in the identification of fastidious micro-organisms, such as Clostridium spp. Incorporating this technique into routine microbiology would lead to more successful and rapid identification of pathogenic and difficult to identify micro-organisms.
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spelling Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi ArabiaClostridium speciesMALDI–TOF-MSVITEK 216S rRNAAbstract The aim of this study was to identify different Clostridium spp. isolated from currency notes from the Ha’il region of Saudi Arabia in September 2014 using MALDI–TOF-MS. Clostridium spp. were identified by Bruker MALDI–TOF-MS and compared with VITEK 2. The confirmation of the presence of different Clostridium spp. was performed by determining the sequence of the 16S ribosomal RNA gene. In this study, 144 Clostridium spp. were isolated. Among these specimens, MALDI–TOF-MS could identify 88.8% (128/144) of the isolates to the species level and 92.3% (133/144) to the genus level, whereas, VITEK 2 identified 77.7% of the (112/144) isolates. The correct identification of the 144 isolates was performed by sequence analysis of the 500 bp 16S rRNA gene. The most common Clostridium spp. identified were Clostridium perfringens (67.36%), Clostridium subterminale (14.58%), Clostridium sordellii (9%) and Clostridium sporogenes (9%). The results of this study demonstrate that MALDI–TOF-MS is a rapid, accurate and user friendly technique for the identification of Clostridium spp. Additionally, MALDI–TOF-MS has advantages over VITEK 2 in the identification of fastidious micro-organisms, such as Clostridium spp. Incorporating this technique into routine microbiology would lead to more successful and rapid identification of pathogenic and difficult to identify micro-organisms.Sociedade Brasileira de Microbiologia2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200410Brazilian Journal of Microbiology v.47 n.2 2016reponame:Brazilian Journal of Microbiologyinstname:Sociedade Brasileira de Microbiologia (SBM)instacron:SBM10.1016/j.bjm.2016.01.027info:eu-repo/semantics/openAccessAlMogbel,Mohammed Sulimaneng2016-05-03T00:00:00Zoai:scielo:S1517-83822016000200410Revistahttps://www.scielo.br/j/bjm/ONGhttps://old.scielo.br/oai/scielo-oai.phpbjm@sbmicrobiologia.org.br||mbmartin@usp.br1678-44051517-8382opendoar:2016-05-03T00:00Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)false
dc.title.none.fl_str_mv Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
title Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
spellingShingle Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
AlMogbel,Mohammed Suliman
Clostridium species
MALDI–TOF-MS
VITEK 2
16S rRNA
title_short Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
title_full Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
title_fullStr Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
title_full_unstemmed Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
title_sort Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
author AlMogbel,Mohammed Suliman
author_facet AlMogbel,Mohammed Suliman
author_role author
dc.contributor.author.fl_str_mv AlMogbel,Mohammed Suliman
dc.subject.por.fl_str_mv Clostridium species
MALDI–TOF-MS
VITEK 2
16S rRNA
topic Clostridium species
MALDI–TOF-MS
VITEK 2
16S rRNA
description Abstract The aim of this study was to identify different Clostridium spp. isolated from currency notes from the Ha’il region of Saudi Arabia in September 2014 using MALDI–TOF-MS. Clostridium spp. were identified by Bruker MALDI–TOF-MS and compared with VITEK 2. The confirmation of the presence of different Clostridium spp. was performed by determining the sequence of the 16S ribosomal RNA gene. In this study, 144 Clostridium spp. were isolated. Among these specimens, MALDI–TOF-MS could identify 88.8% (128/144) of the isolates to the species level and 92.3% (133/144) to the genus level, whereas, VITEK 2 identified 77.7% of the (112/144) isolates. The correct identification of the 144 isolates was performed by sequence analysis of the 500 bp 16S rRNA gene. The most common Clostridium spp. identified were Clostridium perfringens (67.36%), Clostridium subterminale (14.58%), Clostridium sordellii (9%) and Clostridium sporogenes (9%). The results of this study demonstrate that MALDI–TOF-MS is a rapid, accurate and user friendly technique for the identification of Clostridium spp. Additionally, MALDI–TOF-MS has advantages over VITEK 2 in the identification of fastidious micro-organisms, such as Clostridium spp. Incorporating this technique into routine microbiology would lead to more successful and rapid identification of pathogenic and difficult to identify micro-organisms.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200410
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200410
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.bjm.2016.01.027
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
dc.source.none.fl_str_mv Brazilian Journal of Microbiology v.47 n.2 2016
reponame:Brazilian Journal of Microbiology
instname:Sociedade Brasileira de Microbiologia (SBM)
instacron:SBM
instname_str Sociedade Brasileira de Microbiologia (SBM)
instacron_str SBM
institution SBM
reponame_str Brazilian Journal of Microbiology
collection Brazilian Journal of Microbiology
repository.name.fl_str_mv Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)
repository.mail.fl_str_mv bjm@sbmicrobiologia.org.br||mbmartin@usp.br
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