Phylogeography and population structure of the biologically invasive phytopathogen Erwinia amylovora inferred using minisatellites

被引:50
作者
Buehlmann, Andreas [1 ]
Dreo, Tanja [1 ,2 ]
Rezzonico, Fabio [1 ,3 ]
Pothier, Joel F. [1 ,3 ]
Smits, Theo H. M. [1 ,3 ]
Ravnikar, Maja [2 ]
Frey, Juerg E. [1 ]
Duffy, Brion [1 ,3 ]
机构
[1] Agroscope Changins Wadenswil Res Stn ACW, Plant Protect Div, CH-8820 Wadenswil, Switzerland
[2] NIB, Dept Biotechnol & Syst Biol, SI-1000 Ljubljana, Slovenia
[3] Zurich Univ Appl Sci, Inst Nat Resources Sci, Dept Life Sci & Facil Management, Grp Environm Genom & Syst Biol, CH-8820 Wadenswil, Switzerland
关键词
TANDEM-REPEAT ANALYSIS; MULTILOCUS VARIABLE-NUMBER; FIRE BLIGHT; MYCOBACTERIUM-TUBERCULOSIS; PATHOGENIC BACTERIA; GENETIC DIVERSITY; GENOME SEQUENCE; PHASE VARIATION; DNA REPEATS; STRAINS;
D O I
10.1111/1462-2920.12289
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:2112 / 2125
页数:14
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