Abstract

Xanthomonas fragariae is a quarantine organism in Europe, causing angular leaf spots on strawberry plants. It is spreading worldwide in strawberry-producing regions due to import of plant material through trade and human activities. In order to resolve the population structure at the strain level, we have employed high-resolution molecular typing tools on a comprehensive strain collection representing global and temporal distribution of the pathogen. Clustered regularly interspaced short palindromic repeat regions (CRISPRs) and variable number of tandem repeats (VNTRs) were identified within the reference genome of X. fragariae LMG 25863 as a potential source of variation. Strains from our collection were whole-genome sequenced and used in order to identify variable spacers and repeats for discriminative purpose. CRISPR spacer analysis and multiple-locus VNTR analysis (MLVA) displayed a congruent population structure, in which two major groups and a total of four subgroups were revealed. The two main groups were genetically separated before the first X. fragariae isolate was described and are potentially responsible for the worldwide expansion of the bacterial disease. Three primer sets were designed for discriminating CRISPR-associated markers in order to streamline group determination of novel isolates. Overall, this study describes typing methods to discriminate strains and monitor the pathogen population structure, more especially in the view of a new outbreak of the pathogen.

Highlights

  • Assessing evolutionary changes within closely related microbial isolates by epidemiological typing requires the availability of molecular markers that differentiate isolates within a species [1]

  • A total of 55 strains of X. fragariae (Table 1) were sequenced in this study in order to access a panel of molecular markers to determine genetic diversity within the species

  • HiSeq assemblies had an average size of 3.85 Mb whereas MiSeq assemblies yielded genome sizes of approximately 4.20 Mb, which is the average size reached by the first X. fragariae draft genome [45] and more recently by complete genomes [46, 47]

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Summary

Introduction

Assessing evolutionary changes within closely related microbial isolates by epidemiological typing requires the availability of molecular markers that differentiate isolates within a species [1]. The evolution of genomes is related to various factors and different molecular typing targets have diverse ‘molecular clock speeds’ [1]. Geographical information can be added to genotype information in order to study how specific genetic variants of the pathogen behave in terms of geographic representation or outbreaks [8, 9]. This approach has been 000189 ã 2018 The Authors

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