Matrix Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry for identification of Clostridium species isolated from Saudi Arabia
Autor(a) principal: | |
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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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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 |
_version_ |
1752122208378945536 |