Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites |
Authors: | Bühlmann, Andreas Dreo, Tanja Rezzonico, Fabio Pothier, Joël F. Smits, Theo H. M. Ravnikar, Maja Frey, Jürg E. Duffy, Brion |
DOI: | 10.1111/1462-2920.12289 |
Published in: | Environmental Microbiology |
Volume(Issue): | 16 |
Issue: | 7 |
Page(s): | 2112 |
Pages to: | 2125 |
Issue Date: | Jul-2014 |
Publisher / Ed. Institution: | Wiley |
ISSN: | 1462-2912 1462-2920 |
Language: | English |
Subject (DDC): | 570: Biology |
Abstract: | Erwinia amylovora causes a major disease of pome fruit trees worldwide, and is regulated as a quarantine organism in many countries. While some diversity of isolates has been observed, molecular epidemiology of this bacterium is hindered by a lack of simple molecular typing techniques with sufficiently high resolution. We report a molecular typing system of E. amylovora based on variable number of tandem repeats (VNTR) analysis. Repeats in the E. amylovora genome were identified with comparative genomic tools, and VNTR markers were developed and validated. A Multiple-Locus VNTR Analysis (MLVA) was applied to E. amylovora isolates from bacterial collections representing global and regional distribution of the pathogen. Based on six repeats, MLVA allowed the distinction of 227 haplotypes among a collection of 833 isolates of worldwide origin. Three geographically separated groups were recognized among global isolates using Bayesian clustering methods. Analysis of regional outbreaks confirmed presence of diverse haplotypes but also high representation of certain haplotypes during outbreaks. MLVA analysis is a practical method for epidemiological studies of E. amylovora, identifying previously unresolved population structure within outbreaks. Knowledge of such structure can increase our understanding on how plant diseases emerge and spread over a given geographical region. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/1711 |
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) |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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Bühlmann, A., Dreo, T., Rezzonico, F., Pothier, J. F., Smits, T. H. M., Ravnikar, M., Frey, J. E., & Duffy, B. (2014). Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites. Environmental Microbiology, 16(7), 2112–2125. https://doi.org/10.1111/1462-2920.12289
Bühlmann, A. et al. (2014) ‘Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites’, Environmental Microbiology, 16(7), pp. 2112–2125. Available at: https://doi.org/10.1111/1462-2920.12289.
A. Bühlmann et al., “Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites,” Environmental Microbiology, vol. 16, no. 7, pp. 2112–2125, Jul. 2014, doi: 10.1111/1462-2920.12289.
BÜHLMANN, Andreas, Tanja DREO, Fabio REZZONICO, Joël F. POTHIER, Theo H. M. SMITS, Maja RAVNIKAR, Jürg E. FREY und Brion DUFFY, 2014. Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites. Environmental Microbiology. Juli 2014. Bd. 16, Nr. 7, S. 2112–2125. DOI 10.1111/1462-2920.12289
Bühlmann, Andreas, Tanja Dreo, Fabio Rezzonico, Joël F. Pothier, Theo H. M. Smits, Maja Ravnikar, Jürg E. Frey, and Brion Duffy. 2014. “Phylogeography and Population Structure of the Biologically Invasive Phytopathogen Erwinia Amylovora Inferred Using Minisatellites.” Environmental Microbiology 16 (7): 2112–25. https://doi.org/10.1111/1462-2920.12289.
Bühlmann, Andreas, et al. “Phylogeography and Population Structure of the Biologically Invasive Phytopathogen Erwinia Amylovora Inferred Using Minisatellites.” Environmental Microbiology, vol. 16, no. 7, July 2014, pp. 2112–25, https://doi.org/10.1111/1462-2920.12289.
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