Distinguishing bacterial pathogens of potato using a genome-wide microarray approach

Bacterial ring rot of potato caused by Clavibacter sepedonicus: A successful example of defeating the enemy under international regulations

BACKGROUND

Bacterial ring rot of potato (Solanum tuberosum) caused by the gram-positive coryneform bacterium Clavibacter sepedonicus is an important quarantine disease threatening the potato industry around the globe. Since its original description in 1906 in Germany, management of ring rot has been a major problem due to the seedborne nature (via seed tubers not true seeds) of the pathogen allowing the bacterium to be transmitted long distances via infected tubers.

DISEASE SYMPTOMS

On growing potato plants: interveinal chlorosis on leaflets leading to necrotic areas and systemic wilt. On infected tubers: vascular tissues become yellowish brown with a cheesy texture due to bacterial colonization and decay.

HOST RANGE

Potato is the main host of the pathogen, but natural infection also occurs on eggplant, tomato, and sugar beet.

TAXONOMIC STATUS OF THE PATHOGEN

Class: Actinobacteria; Order: Actinomycetales; Family: Microbacteriaceae; Genus: Clavibacter; Species: Clavibacter sepedonicus (Spieckermann and Kotthoff 1914) Li et al. 2018.

SYNONYMS (NONPREFERRED SCIENTIFIC NAMES)

Aplanobacter sepedonicus; Bacterium sepedonicum; Corynebacterium sepedonicum; Corynebacterium michiganense pv. sepedonicum; Clavibacter michiganensis subsp. sepedonicus.

MICROBIOLOGICAL PROPERTIES

Gram-positive, club-shaped cells with creamy to yellowish-cream colonies for which the optimal growth temperature is 20-23°C.

DISTRIBUTION

Asia (China, Japan, Kazakhstan, Nepal, North Korea, Pakistan, South Korea, Uzbekistan, the Asian part of Russia), Europe (Belarus, Bulgaria, Czech Republic, Estonia, Finland, Georgia, Germany, Greece, Hungary, Latvia, Lithuania, Norway, Poland, Romania, European part of Russia, Slovakia, Spain, Sweden, Turkey, Ukraine), and North America (Canada, Mexico, USA).

PHYTOSANITARY CATEGORIZATION

CORBSE: EPPO A2 list no. 51. EU; Annex designation I/A2.

Molecular methods as tools to control plant diseases caused by Dickeya and Pectobacterium spp: A minireview

Dickeya spp. and Pectobacterium spp. are etiological agents of soft rot on crops, vegetables, and ornamentals. They also cause blackleg on potato. These pectinolytic phytopathogens are responsible for significant economic losses, mostly within the potato production sector. Importantly, there are no methods to eradicate these microorganisms once they have infected plant material. Solely preventive measures remain, including early detection and identification of the pathogens, monitoring of their spread in addition to planting certified seed material tested for latent infections. As proper identification of the causative agent allows for efficient limitation of disease spread, numerous detection and differentiation methods have been developed. Most commonly followed procedures involve: isolation of viable bacterial cells (alternatively post-enrichment) on semi-selective media, identification to species level by PCR (single, multiplex, Real time), serology or fatty acids profiling. Differentiation of the isolates is often accomplished by sequencing the housekeeping genes or molecular fingerprinting. In view of lowering total costs of next-generation sequencing (NGS), a huge amount of generated data reveals subtle differences between strains that have proven to be potentially useful for the establishment of specific novel detection pipelines. Successful implementation of molecular diagnostic methods is exemplified by 20-year studies on the populations of pectinolytic bacteria on potatoes in Poland. The presented work aims to gather the characteristics of Dickeya spp. and Pectobacterium spp. important for the identification process in addition to providing an overview of modern and newly developed specific, rapid, high-throughput and cost-effective screening methods for the detection and identification of these phytopathogens.

Tube-Wise Diagnostic Microarray for the Multiplex Characterization of the Complex Plant Pathogen Ralstonia solanacearum

Ralstonia solanacearum is a well-known agricultural and ecological threat worldwide. The complexity of the R. solanacearum species complex (Rssc) represents a challenge for the accurate characterization of epidemiological strains by official services and research laboratories. The majority of protocols only focus on a narrow range of strains; however, this species complex includes strains that represent major constraints and are under strict regulation. The main drawback associated with the current methods of detecting and characterizing Rssc strains is their reliance on combining different protocols to properly characterize the strains at the ecotype level, which require time and money. Therefore, we used microarray technology (ArrayTube) to develop a standard protocol, which characterizes 17 major groups of interest in the Rssc, in a single multiplex reaction. These 17 majors groups are linked with a phylogenetic assignation (phylotypes, sequevars), but also with an ecotype assignation associated with a range of hosts (e.g., brown rot, Moko). Probes were designed with a 50-mer length constraint and thoroughly evaluated for any flaws or secondary structures. The strains are characterized based on a DNA extraction from pure culture. Validation data showed strong intra-repeatability, inter-repeatability, and reproducibility as well as good specificity. A hierarchical analysis of the probe groups is suitable for an accurate characterization. Compared with single marker detection tests, the method described in this paper addresses efficiently the issue of combining several tests by testing a large number of phylogenetic markers in a single reaction assay. This custom microarray (RsscAT) represents a significant improvement in the epidemiological monitoring of Rssc strains worldwide, and it has the potential to provide insights for phylogenetic incongruence of Rssc strains based on the host of isolation and may be used to indicate potentially emergent strains.

Species' identification and microarray-based comparative genome analysis of Streptomyces species isolated from potato scab lesions in Norway

Streptomyces strains were isolated from scab lesions on potatoes collected from different parts of Norway. Twenty-eight plant-pathogenic strains, as tested on seedlings of radish and on potato, were identified on the basis of physiological and molecular criteria. Polymerase chain reaction (PCR) analysis, using species-specific primers, and sequencing of the 16S rRNA gene identified 14 nonmelanin-producing strains to S. turgidiscabies. Fourteen melanin-producing strains were detected with primers specific to S. scabies, but whole-genome microarray analysis, based on 12 766 probes designed for 8848 predicted open reading frames (ORFs) of S. scabies, showed that the 14 strains were different from S. scabies. They were subsequently identified to be S. europaeiscabiei based on the internal transcribed spacer (ITS) sequences of the rRNA genes. This is the first report of the occurrence of S. turgidiscabies and S. europaeiscabiei in Norway. The putative 762 genes exhibiting the highest sequence differences between strains of S. europaeiscabiei and S. scabies according to microarray analysis were concentrated in relatively few gene ontology (GO) categories, including 'symbiosis and mutualism through parasitism', 'cell death' and 'responses to biotic stimulus', whereas genes related to primary metabolism appeared to be more conserved. Microarray data and 16S rRNA gene phylogeny showed, consistently, that there were two genetically distinguishable groups of S. europaeiscabiei on the basis of differences in 131 genes. The results provide novel information about the genetic variability of S. europaeiscabiei and the gene-specific variability between the genomes of S. europaeiscabiei and S. scabies. The usefulness of a custom-designed, whole-genome oligonucleotide microarray in a survey of bacterial plant pathogens was demonstrated.

The Comprehensive Phytopathogen Genomics Resource: a web-based resource for data-mining plant pathogen genomes

The Comprehensive Phytopathogen Genomics Resource (CPGR) provides a web-based portal for plant pathologists and diagnosticians to view the genome and trancriptome sequence status of 806 bacterial, fungal, oomycete, nematode, viral and viroid plant pathogens. Tools are available to search and analyze annotated genome sequences of 74 bacterial, fungal and oomycete pathogens. Oomycete and fungal genomes are obtained directly from GenBank, whereas bacterial genome sequences are downloaded from the A Systematic Annotation Package (ASAP) database that provides curation of genomes using comparative approaches. Curated lists of bacterial genes relevant to pathogenicity and avirulence are also provided. The Plant Pathogen Transcript Assemblies Database provides annotated assemblies of the transcribed regions of 82 eukaryotic genomes from publicly available single pass Expressed Sequence Tags. Data-mining tools are provided along with tools to create candidate diagnostic markers, an emerging use for genomic sequence data in plant pathology. The Plant Pathogen Ribosomal DNA (rDNA) database is a resource for pathogens that lack genome or transcriptome data sets and contains 131 755 rDNA sequences from GenBank for 17 613 species identified as plant pathogens and related genera. Database URL: http://cpgr.plantbiology.msu.edu.

The Clavibacter michiganensis subspecies: molecular investigation of gram-positive bacterial plant pathogens

Clavibacter michiganensis subspecies are actinomycete plant pathogens residing mainly in the xylem vessels that infect economically important host plants. In the Clavibacter subspecies michiganensis and sepedonicus, infecting tomato and potato, respectively, essential factors for disease induction are plasmid encoded and loss of the virulence plasmids converts these biotrophic pathogens into endophytes. The genes responsible for successful colonization of the host plant, including evasion/suppression of plant defense reactions, are chromosomally encoded. Several serine proteases seem to be involved in colonization. They are secreted by Clavibacter, but their targets remain unknown. A type 3 secretion system (T3SS) translocating effectors into the plant cells is absent in these gram-positive pathogens. With the development of the modern 'omics technologies for RNA and proteins based on the known genome sequences, a new phase in the investigation of the mechanisms of plant pathogenicity has begun to allow the genome-wide investigation of the Clavibacter-host interaction.

Microarray-based comparison of genetic differences between strains of Streptomyces turgidiscabies with focus on the pathogenicity island

The areas of the pathogenicity island (PAI) designated as 'colonization region' (CR) and 'toxicogenic region' (TR) [Lerat et al. (2009) Mol. Plant Pathol. 10, 579-585] contain genes required for virulence and phytoxin production, respectively, in Streptomyces spp. causing common scab on potatoes. The PAI was tested for genetic variability by microarray analysis in strains of S. turgidiscabies isolated from potatoes in Finland. The data revealed four types of PAI based on divergent CR and TR which occurred in different combinations. Only one PAI type was highly similar to S. scabies (strains 87.22 and ATTC49173). Using probes designed for the predicted genes of S. scabies, two gene clusters in S. scabies appeared to be similar to most strains of S. turgidiscabies and contained PAI genes corresponding to CR and TR. They were located approximately 5 Mb apart in the S. scabies genome, as compared with only 0.3 Mb in S. turgidiscabies Car8. Data from comparative genomic hybridization with probes designed for S. scabies genes and for the PAI of S. turgidiscabies were compared by multilocus cluster analysis, which revealed two strains of S. turgidiscabies that were very closely related at the whole-genome level, but contained distinctly different PAIs. The type strain of S. reticuliscabiei (DSM41804; synonymous to S. turgidiscabies) was clustered with S. turgidiscabies. Taken together, the data indicate wide genetic variability of PAIs among strains of S. turgidiscabies, and demonstrate that PAI is made up of a mosaic of regions which may undergo independent evolution.

Arabidopsis thaliana cells: a model to evaluate the virulence of Pectobacterium carotovorum

Pectobacterium carotovorum are economically important plant pathogens that cause plant soft rot. These enterobacteria display high diversity world-wide. Their pathogenesis depends on production and secretion of virulence factors such as plant cell wall-degrading enzymes, type III effectors, a necrosis-inducing protein, and a secreted virulence factor from Xanthomonas spp., which are tightly regulated by quorum sensing. Pectobacterium carotovorum also present pathogen-associated molecular patterns that could participate in their pathogenicity. In this study, by using suspension cells of Arabidopsis thaliana, we correlate plant cell death and pectate lyase activities during coinfection with different P. carotovorum strains. When comparing soft rot symptoms induced on potato slices with pectate lyase activities and plant cell death observed during coculture with Arabidopsis thaliana cells, the order of strain virulence was found to be the same. Therefore, Arabidopsis thaliana cells could be an alternative tool to evaluate rapidly and efficiently the virulence of different P. carotovorum strains.

Specific genes from the potato brown rot strains of Ralstonia solanacearum and their potential use for strain detection

Ralstonia solanacearum is the agent of bacterial wilt infecting >200 different plant species covering >50 botanical families. The genus R. solanacearum can be classified into four phylotypes and each phylotype can be further subdivided into sequevars. The potato brown rot strains of R. solanacearum from phylotype IIB, sequevar 1 (IIB1), historically known as race 3, biovar 2 strains, are responsible for important economic losses to the potato industry and threaten ornamental crop production worldwide. Sensitive and specific detection methods are required to control this pathogen. This article provides a list of 70 genes and 15 intergenes specific to the potato brown rot strains of R. solanacearum from phylotype IIB1. This list was identified by comparative genomic hybridization on microarray and subsequent polymerase chain reaction validation with 14 IIB1 strains against 45 non-IIB1 strains that covered the known genetic diversity in R. solanacearum. The microarray used consisted of the previously described microarray representative of the phylotype I strain GMI1000, to which were added 660 70-mer oligonucleotides representative of new genomic islands detected in the phylotype IIB1 strain IPO1609. The brown rot strain-specific genes thus identified were organized in nine clusters covering 2 to 29 genes within the IPO1609 genome and 6 genes isolated along the genome. Of these specific genes, 29 were parts of mobile genetic elements. Considering the known instability of the R. solanacearum genome, we believe that multiple probes are required to consistently detect all IIB1 strains and we recommend the use of probes which are not part of genetic mobile elements.

Microarray comparative genomic hybridisation analysis incorporating genomic organisation, and application to enterobacterial plant pathogens

Microarray comparative genomic hybridisation (aCGH) provides an estimate of the relative abundance of genomic DNA (gDNA) taken from comparator and reference organisms by hybridisation to a microarray containing probes that represent sequences from the reference organism. The experimental method is used in a number of biological applications, including the detection of human chromosomal aberrations, and in comparative genomic analysis of bacterial strains, but optimisation of the analysis is desirable in each problem domain.We present a method for analysis of bacterial aCGH data that encodes spatial information from the reference genome in a hidden Markov model. This technique is the first such method to be validated in comparisons of sequenced bacteria that diverge at the strain and at the genus level: Pectobacterium atrosepticum SCRI1043 (Pba1043) and Dickeya dadantii 3937 (Dda3937); and Lactococcus lactis subsp. lactis IL1403 and L. lactis subsp. cremoris MG1363. In all cases our method is found to outperform common and widely used aCGH analysis methods that do not incorporate spatial information. This analysis is applied to comparisons between commercially important plant pathogenic soft-rotting enterobacteria (SRE) Pba1043, P. atrosepticum SCRI1039, P. carotovorum 193, and Dda3937.Our analysis indicates that it should not be assumed that hybridisation strength is a reliable proxy for sequence identity in aCGH experiments, and robustly extends the applicability of aCGH to bacterial comparisons at the genus level. Our results in the SRE further provide evidence for a dynamic, plastic 'accessory' genome, revealing major genomic islands encoding gene products that provide insight into, and may play a direct role in determining, variation amongst the SRE in terms of their environmental survival, host range and aetiology, such as phytotoxin synthesis, multidrug resistance, and nitrogen fixation.

Candicidin-producing Streptomyces support leaf-cutting ants to protect their fungus garden against the pathogenic fungus Escovopsis

Leaf-cutting ants such as Acromyrmex octospinosus live in obligate symbiosis with fungi of the genus Leucoagaricus, which they grow with harvested leaf material. The symbiotic fungi, in turn, serve as a major food source for the ants. This mutualistic relation is disturbed by the specialized pathogenic fungus Escovopsis sp., which can overcome Leucoagaricus sp. and thus destroy the ant colony. Microbial symbionts of leaf-cutting ants have been suggested to protect the fungus garden against Escovopsis by producing antifungal compounds [Currie CR, Scott JA, Summerbell RC, Malloch D (1999) Fungus-growing ants use antibiotic-producing bacteria to control garden parasites. Nature 398:701-704.]. To date, however, the chemical nature of these compounds has remained elusive. We characterized 19 leaf-cutting ant-associated microorganisms (5 Pseudonocardia, 1 Dermacoccus, and 13 Streptomyces) from 3 Acromyrmex species, A. octospinosus, A. echinatior, and A. volcanus, using 16S-rDNA analysis. Because the strain Streptomyces sp. Ao10 proved highly active against the pathogen Escovopsis, we identified the molecular basis of its antifungal activity. Using bioassay-guided fractionation, high-resolution electrospray mass spectrometry (HR-ESI-MS), and UV spectroscopy, and comparing the results with an authentic standard, we were able identify candicidin macrolides. Candicidin macrolides are highly active against Escovopsis but do not significantly affect the growth of the symbiotic fungus. At least one of the microbial isolates from each of the 3 leaf-cutting ant species analyzed produced candicidin macrolides. This suggests that candicidins play an important role in protecting the fungus gardens of leaf-cutting ants against pathogenic fungi.