Literature DB >> 29684765

Application of MALDI-TOF MS for the subtyping of Arcobacter butzleri strains and comparison with their MLST and PFGE types.

Federica Giacometti1, Silvia Piva2, Katleen Vranckx3, Katrien De Bruyne4, Ilenia Drigo5, Alex Lucchi6, Gerardo Manfreda7, Andrea Serraino8.   

Abstract

For the first time, this study evaluated the use of MALDI-TOF as a typing tool for Arcobacter butzleri. A total of 104 A. butzleri strains isolated from different sources in an artisanal dairy plant in Italy were identified and typed using MALDI-TOF and compared with their multilocus sequence typing (MLST) and pulsed field gel electrophoresis (PFGE) profiles found in previous studies. MALDI-TOF correctly identified all the isolates to species level. No clearly delineated clusters appeared on dendrograms based on either the complete spectra or the significant peaks, but nine clusters were defined using the cophenetic correlation. Interestingly, MALDI-TOF proved able to discriminate A. butzleri strains below species level, confirming its potential use for epidemiological surveys. As expected, the comparative analysis with PFGE and MLST showed that the discriminatory index was lower for MALDI-TOF but roughly comparable to sequence types and pulsotypes. MALDI-TOF appears to be a relatively low cost answer to the urgent need for more rapid, less expensive typing tools suitable for source attribution studies, readily allowing multiple typing methods to be combined. This study provides insights into MALDI-TOF as potential epidemiological tool. Its application in healthcare surveillance systems awaits further exploration to encourage interaction and convergence studies between primary care in humans and animal and food veterinary authorities as part of the One Health concept.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arcobacter butzleri; MALDI-TOF MS; MLST; PFGE; Subtyping

Mesh:

Year:  2018        PMID: 29684765     DOI: 10.1016/j.ijfoodmicro.2018.04.026

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  5 in total

1.  Arcobacter Identification and Species Determination Using Raman Spectroscopy Combined with Neural Networks.

Authors:  Kaidi Wang; Lei Chen; Xiangyun Ma; Lina Ma; Keng C Chou; Yankai Cao; Izhar U H Khan; Greta Gölz; Xiaonan Lu
Journal:  Appl Environ Microbiol       Date:  2020-10-01       Impact factor: 4.792

2.  Occurrence of virulence-associated genes in Arcobacter butzleri and Arcobacter cryaerophilus isolates from foodstuff, water, and clinical samples within the Czech Republic.

Authors:  David Šilha; Barbora Vacková; Lucie Šilhová
Journal:  Folia Microbiol (Praha)       Date:  2018-06-24       Impact factor: 2.099

3.  Molecular Epidemiological Insights into Colistin-Resistant and Carbapenemases-Producing Clinical Klebsiella pneumoniae Isolates.

Authors:  Domiziana Di Tella; Manuela Tamburro; Giuliana Guerrizio; Incoronata Fanelli; Michela Lucia Sammarco; Giancarlo Ripabelli
Journal:  Infect Drug Resist       Date:  2019-12-03       Impact factor: 4.003

4.  Characterization of Arcobacter spp. Isolated from human diarrheal, non-diarrheal and food samples in Thailand.

Authors:  Paksathorn Kietsiri; Chonchanok Muangnapoh; Woradee Lurchachaiwong; Paphavee Lertsethtakarn; Ladaporn Bodhidatta; Orasa Suthienkul; Norman C Waters; Samandra T Demons; Brian A Vesely
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

Review 5.  The Prevalence of Arcobacteraceae in Aquatic Environments: A Systematic Review and Meta-Analysis.

Authors:  Igor Venâncio; Ângelo Luís; Fernanda Domingues; Mónica Oleastro; Luísa Pereira; Susana Ferreira
Journal:  Pathogens       Date:  2022-02-13
  5 in total

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