Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1519
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Erwinia species identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry
Authors: Rezzonico, Fabio
Duffy, Brion
Smits, Theo H.M.
Pothier, Joël F.
DOI: 10.4454/jpp.v99i0.3916
10.21256/zhaw-1519
Published in: Journal of Plant Pathology
Volume(Issue): 99
Issue: Special issue
Page(s): 121
Pages to: 129
Issue Date: Nov-2017
Publisher / Ed. Institution: Edizioni ETS
ISSN: 2239-7264
Language: English
Subjects: Bacterial identification; MALDI-TOF MS; Taxonomy; Fire blight
Subject (DDC): 570: Biology
Abstract: Rapid and reliable identification of plant pathogenic bacteria is critical for effective implementation of phytosanitary measures. The genus Erwinia includes a number of economically important plant pathogens such as fire blight agent Erwinia amylovora or Asian pear pathogen Erwinia pyrifoliae, together with closely related plant epiphytes of unknown pathogenicity or even with a potential use for biological control like Erwinia tasmaniensis or Erwinia billingiae, respectively. Current laboratory methods to achieve satisfactory identification and discrimination between species within the Erwinia genus are based on the isolation on semi-selective media, serology, specific PCR and gene locus sequencing: these approaches are complicated and time-consuming, often requiring a priori assumptions over the identity of the isolates. Here we present a streamlined approach based on whole-cell Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry (MALDI-TOF MS) based on the AXIMA mass spectrometer of Shimadzu-Biotech Corp that demonstrates the potential of this technology for quick species identification in plant diagnostics within the genus Erwinia.
URI: https://digitalcollection.zhaw.ch/handle/11475/1739
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Natural Resource Sciences (IUNR)
Published as part of the ZHAW project: Genomik und Transkriptomik von Erwinia und Pantoea
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
File Description SizeFormat 
59_Rezzonico_JPlantPathol2017.pdf751.06 kBAdobe PDFThumbnail
View/Open
Show full item record
Rezzonico, F., Duffy, B., Smits, T. H. M., & Pothier, J. F. (2017). Erwinia species identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry. Journal of Plant Pathology, 99(Special issue), 121–129. https://doi.org/10.4454/jpp.v99i0.3916
Rezzonico, F. et al. (2017) ‘Erwinia species identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry’, Journal of Plant Pathology, 99(Special issue), pp. 121–129. Available at: https://doi.org/10.4454/jpp.v99i0.3916.
F. Rezzonico, B. Duffy, T. H. M. Smits, and J. F. Pothier, “Erwinia species identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry,” Journal of Plant Pathology, vol. 99, no. Special issue, pp. 121–129, Nov. 2017, doi: 10.4454/jpp.v99i0.3916.
REZZONICO, Fabio, Brion DUFFY, Theo H.M. SMITS und Joël F. POTHIER, 2017. Erwinia species identification using matrix-assisted laser desorption ionization-time of flight mass spectrometry. Journal of Plant Pathology. November 2017. Bd. 99, Nr. Special issue, S. 121–129. DOI 10.4454/jpp.v99i0.3916
Rezzonico, Fabio, Brion Duffy, Theo H.M. Smits, and Joël F. Pothier. 2017. “Erwinia Species Identification Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.” Journal of Plant Pathology 99 (Special issue): 121–29. https://doi.org/10.4454/jpp.v99i0.3916.
Rezzonico, Fabio, et al. “Erwinia Species Identification Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry.” Journal of Plant Pathology, vol. 99, no. Special issue, Nov. 2017, pp. 121–29, https://doi.org/10.4454/jpp.v99i0.3916.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.