The Globisporangium ultimum (formerly Pythium ultimum) species complex was previously composed of two morphological varieties: var. ultimum and var. sporangiiferum. Prior attempts to resolve this morphology-based species complex using molecular techniques have been inconclusive or conflicting. The increased availability of sequenced genomes and isolates identified as G. ultimum var. ultimum and var. sporangiiferum has allowed us to examine these relationships at a higher resolution and with a broader scope than previously possible. Using comparative genomics, we identified highly variable gene regions and designed primers for four new protein-coding genes for phylogenetics. These were then used alongside three known markers to generate a nuclear multigene genealogy of the species complex. From a collection of 163 isolates belonging to the target taxa, a subset of 29 was chosen to be included in this study (verified with nuclear rDNA internal transcribed spacer 1 [ITS1] and mitochondrial cytochrome c oxidase subunit 1 [cox1] sequences). Seventeen isolates of var. ultimum were selected to be representative of variations in genotype, morphology, and geographic collection location. The 12 isolates of var. sporangiiferum included all available specimens identified either morphologically (in previous studies) or through sequence similarity with ITS1 and cox1. Based on the fulfillment of reciprocal monophyly and observed genealogical concordance under the genealogical concordance phylogenetic species recognition, we determined that the Globisporangium ultimum species complex is composed of four genetically distinct species: Globisporangium ultimum, Globisporangium sporangiiferum, Globisporangium solveigiae, and Globisporangium bothae.

The genus Pythium (nom. cons.) sensu lato (s.l.) is composed of many important species of plant pathogens. Early molecular phylogenetic studies suggested paraphyly of Pythium, which led to a formal proposal by Uzuhashi and colleagues in 2010 to split the genus into Pythium sensu stricto (s.s.), Elongisporangium, Globisporangium, Ovatisporangium (= Phytopythium), and Pilasporangium using morphological characters and phylogenies of the mt cytochrome c oxidase subunit 2 (cox2) and D1–D2 domains of nuc 28S rDNA. Although the split was fairly justified by the delineating morphological characters, there were weaknesses in the molecular analyses, which created reluctance in the scientific community to adopt these new genera for the description of new species. In this study, this issue was addressed using phylogenomics. Whole genomes of 109 strains of Pythium and close relatives were sequenced, assembled, and annotated. These data were combined with 10 genomes sequenced in previous studies. Phylogenomic analyses were performed with 148 single-copy genes represented in at least 90% of the taxa in the data set. The results showed support for the division of Pythium s.l. The status of alternative generic names that have been used for species of Pythium in the past (e.g., Artotrogus, Cystosiphon, Eupythium, Nematosporangium, Rheosporangium, Sphaerosporangium) was investigated. Based on our molecular analyses and review of the Pythium generic concepts, we urge the scientific community to adopt the generic names Pythium, Elongisporangium, Globisporangium, and their concepts as proposed by Uzuhashi and colleagues in 2010 in their work going forward. In order to consolidate the taxonomy of these genera, some of the recently described Pythium spp. are transferred to Elongisporangium and Globisporangium.

Outbreaks of plant pests and pathogens have the potential to significantly harm the Canadian economy, damage the environment, detrimentally affect the health of citizens, and threaten national food security. Loss of trees caused by the Emerald Ash Borer pest had a significant public health impact due to an increase in mortality related to cardiovascular and respiratory-tract illness [2]. Outbreaks of UG99 wheat rust strain can cause up to 100% crop losses of wheat and is viewed as a potential worldwide disaster with massive implications for global food security [6]. In Canada, an outbreak of Potato Wart disease in 2000 resulted in $280 million in costs to the provincial economy of Prince Edward Island [1]. The Canadian Food Inspection Agency (CFIA) has completed decades of risk analyses for various crop commodities and specific pests/pathogens. These analyses characterize the risk of exotic pests to Canada and support regulatory decision-making and response actions. This information is currently stored and maintained in a myriad of disconnected databases, spreadsheets, and technical documents under the control of the Plant Health Risk Assessment Unit. This private corpus represents a unique source of invaluable analyses tailored to the Canadian context, which are not found anywhere else in the world. Additional risk information for other countries is drawn from the European and Mediterranean Plant Protection Organization (EPPO) 1 global database of country regulated pests and the U.S. Department of AgricultureâĂŹs (USDA) Animal and Plant Health Inspection Service (APHIS) regulated plant pest list 2 . The cost of next generation sequencing (NGS) of DNA has decreased exponentially[10]. As a consequence, academic institutions are aggressively staffing positions in environmental metagenomics, and while these researchers may not be specifically looking for plant pests or pathogens, or even human pathogens, large volumes of data with a wide range of species names will be automatically generated and be made publicly available and searchable on the web. The generation of large amount of DNA sequence data from Canadian samples creates exciting opportunities. At the same time, there is an inherent risk to trade should a quarantine organism in a Canadian sample be detected that is not currently known to exist in Canada. Interpretation or misinterpretation of species identification from such studies at their face value could potentially trigger trade issues. The study seeks to evaluate the benefits and means to actively link quantitative Next-Generation Sequencing (NGS) sample data with qualitative risk assessment information. This will guide policy and operational decision-making for rapid detection, surveillance and response against plant health threats and to set a new scientific standard for knowledge-based international trade actions for the agriculture, forestry and fishing industries. One of the goals of this study is to evaluate the use of natural language processing and machine learning techniques to extract pest risk information from the CFIA risk corpus. This study is limited to fungi that are pathogens, partially to limit its initial scope. The fungi are taxonomic group that arguably have some of the most complex taxonomic naming problems due to (among other things) the anamorph-teleomorph-holomorph[8] issue 3 . Collecting the fungal names synonyms is needed to canonicalize the fungal names found both in the risks sources and the NGS identification results. Previous work on risk has not looked at risk such as in this study which examines the risk of pathogenic species on the trade and agriculture. This previous work has looked at the broader topic of event extraction for decision support[3], corporate risk[4]. More recent work has examined risk in a more granular fashion, such as supplier selection[7] and more specifically, assessing the likelihood (risk) of child labour by suppliers[9], . The poster will provide early results of this stage of the project, primarily the risk extraction from the CFIA (Canadian) corpus, the risk and organism names for other countries from the EPPO and the USDA, and the collection and rationalization of the fungal synonym naming from Mycobank and Index Fungorum.

Synchytrium endobioticum is an obligate biotrophic soilborne Chytridiomycota (chytrid) species that causes potato wart disease, and represents the most basal lineage among the fungal plant pathogens. We have chosen a functional genomics approach exploiting knowledge acquired from other fungal taxa and compared this to several saprobic and pathogenic chytrid species. Observations linked to obligate biotrophy, genome plasticity and pathogenicity are reported. Essential purine pathway genes were found uniquely absent in S. endobioticum, suggesting that it relies on scavenging guanine from its host for survival. The small gene-dense and intron-rich chytrid genomes were not protected for genome duplications by repeat-induced point mutation. Both pathogenic chytrids Batrachochytrium dendrobatidis and S. endobioticum contained the largest amounts of repeats, and we identified S. endobioticum specific candidate effectors that are associated with repeat-rich regions. These candidate effectors share a highly conserved motif, and show isolate specific duplications. A reduced set of cell wall degrading enzymes, and LysM protein expansions were found in S. endobioticum, which may prevent triggering plant defense responses. Our study underlines the high diversity in chytrids compared to the well-studied Ascomycota and Basidiomycota, reflects characteristic biological differences between the phyla, and shows commonalities in genomic features among pathogenic fungi.

In Canada, head lettuce (Lactuca sativa capitata) is extensively produced in the muck soils of southwestern Québec. However, yields are increasingly affected by various soilborne pathogens, including Pythium spp., which cause wilt and damping off. In a survey conducted in Québec muck soils in 2010 and 2011, Pythium tracheiphilum Matta was identified as the predominant Pythium sp. in the root of head lettuce showing Pythium stunt symptoms. Therefore, to improve risk assessment and help further understanding of disease epidemiology, a specific and sensitive real-time quantitative polymerase chain reaction (qPCR) assay based on TaqMan-minor groove binder (MGB) technology was developed for P. tracheiphilum. The PCR primers along with a TaqMan-MGB probe were designed from the ribosomal internal transcribed spacer 2 region. A 100-bp product was amplified by PCR from all P. tracheiphilum isolates tested while no PCR product was obtained from 38 other Pythium spp. or from a selection of additional lettuce pathogens tested. In addition to P. tracheiphilum, the assay was multiplexed with an internal control allowing for the individual validation of each PCR. In artificially infested soils, the sensitivity of the qPCR assay was established as 10 oospores/g of dry soil. P. tracheiphilum was not detected in soils in which lettuce has never been grown; however, inoculum ranged from 0 to more than 200,000 oospores/g of dry soil in commercial lettuce fields. Also, disease incidence was positively correlated with inoculum concentration (r = 0.764). The results suggest that inoculum concentration should be considered when making Pythium stunt management decisions. The developed qPCR assay will facilitate reliable detection and quantification of P. tracheiphilum from field soil.

International trade and travel are the driving forces behind the spread of invasive plant pathogens around the world, and human-mediated movement of plants and plant products is now generally accepted as the primary mode of their introduction, resulting in huge disturbance to ecosystems and severe socio-economic impact. These problems are exacerbated under the present conditions of rapid climatic change. We report an overview of the Canadian research activities on Phytophthora ramorum. Since the first discovery and subsequent eradication of P. ramorum on infected ornamentals in nurseries in Vancouver, British Columbia, in 2003, a research team of Canadian government scientists representing the Canadian Forest Service, Canadian Food Inspection Agency, and Agriculture and Agri-Food Canada worked together over a 10-year period and have significantly contributed to many aspects of research and risk assessment on this pathogen. The overall objectives of the Canadian research efforts were to gain a better understanding of the molecular diagnostics of P. ramorum, its biology, host-pathogen interactions, and management options. With this information, it was possible to develop pest risk assessments and evaluate the environmental and economic impact and future research needs and challenges relevant to P. ramorum and other emerging forest Phytophthora spp.

BACKGROUND:Oligonucleotide signatures (signatures) have been widely used for studying microbial diversity and function in wet-lab settings, but using them for accurate in silico identification of organisms from high-throughput sequencing (HTS) data is only a proof of concept. Existing signature design programs for sequence signatures (signatures matching exactly one sequence) or clade signatures (signatures matching every sequence in a phylogenetic clade) are not able to identify all possible polymorphic sites for sequences with high similarity and perform poorly when handling large genome sequencing datasets.RESULTS:We introduce cluster signatures: subsequences that match perfectly and exclusively any group of sequences in a data set. Cluster signatures provide complete recall for primer/probe design and increased discrimination between sequences beyond that of clade signatures. Using cluster signatures for in silico identification of HTS targets achieves good precision/recall and running time performance. This method has been implemented into an open source tool, the Automated Oligonucleotide Design Pipeline (adop), included in supplementary material and available at: https://bitbucket.org/wenchen_aafc/aodp_v2.0_release .CONCLUSIONS:Cluster signatures provide a rapid and universal analysis tool to identify all possible short diagnostic DNA markers and variants from any DNA sequencing dataset. They are particularly useful in discriminating genetic material from closely related organisms and in detecting deleterious mutations in highly or perfectly conserved genomic sites.

This study applied a 16S rRNA gene metabarcoding approach to characterize bacterial community compositional and functional attributes for surface water samples collected within, primarily, agriculturally dominated watersheds in Ontario and Québec, Canada. Compositional heterogeneity was best explained by stream order, season, and watercourse discharge. Generally, community diversity was higher at agriculturally dominated lower order streams, compared to larger stream order systems such as small to large rivers. However, during times of lower relative water flow and cumulative 2-day rainfall, modestly higher relative diversity was found in the larger watercourses. Bacterial community assemblages were more sensitive to environmental/land use changes in the smaller watercourses, relative to small-to-large river systems, where the proximity of the sampled water column to bacteria reservoirs in the sediments and adjacent terrestrial environment was greater. Stream discharge was the environmental variable most significantly correlated (all positive) with bacterial functional groups, such as C/N cycling and plant pathogens. Comparison of the community structural similarity via network analyses helped to discriminate sources of bacteria in freshwater derived from, for example, wastewater treatment plant effluent and intensity and type of agricultural land uses (e.g., intensive swine production vs. dairy dominated cash/livestock cropping systems). When using metabarcoding approaches, bacterial community composition and coexisting pattern rather than individual taxonomic lineages, were better indicators of environmental/land use conditions (e.g., upstream land use) and bacterial sources in watershed settings. Overall, monitoring changes and differences in aquatic microbial communities at regional and local watershed scales has promise for enhancing environmental footprinting and for better understanding nutrient cycling and ecological function of aquatic systems impacted by a multitude of stressors and land uses.

ABSTRACT Spore samplers are widely used in pathogen surveillance but not so much for monitoring the composition of aeromycobiota. In Canada, a nationwide spore-sampling network (AeroNet) was established as a pilot project to assess fungal community composition in air and rain samples collected using three different spore samplers in the summers of 2010 and 2011. Metabarcodes of the internal transcribed spacer (ITS) were exhaustively characterized for three of the network sites, in British Columbia (BC), Québec (QC), and Prince Edward Island (PEI), to compare performance of the samplers. Sampler type accounted for ca. 20% of the total explainable variance in aeromycobiota compositional heterogeneity, with air samplers recovering more Ascomycota and rain samplers recovering more Basidiomycota. Spore samplers showed different abilities to collect 27 fungal genera that are plant pathogens. For instance, Cladosporium spp., Drechslera spp., and Entyloma spp. were collected mainly by air samplers, while Fusarium spp., Microdochium spp., and Ustilago spp. were recovered more frequently with rain samplers. The diversity and abundance of some fungi were significantly affected by sampling location and time (e.g., Alternaria and Bipolaris ) and weather conditions (e.g., Mycocentrospora and Leptosphaeria ), and depended on using ITS1 or ITS2 as the barcoding region (e.g., Epicoccum and Botrytis ). The observation that Canada's aeromycobiota diversity correlates with cooler, wetter conditions and northward wind requires support from more long-term data sets. Our vision of the AeroNet network, combined with high-throughput sequencing (HTS) and well-designed sampling strategies, may contribute significantly to a national biovigilance network for protecting plants of agricultural and economic importance in Canada. IMPORTANCE The current study compared the performance of spore samplers for collecting broad-spectrum air- and rain-borne fungal pathogens using a metabarcoding approach. The results provided a thorough characterization of the aeromycobiota in the coastal regions of Canada in relation to the influence of climatic factors. This study lays the methodological basis to eventually develop knowledge-based guidance on pest surveillance by assisting in the selection of appropriate spore samplers.

Chytridiomycota species (chytrids) belong to a basal lineage in the fungal kingdom. Inhabiting terrestrial and aquatic environments, most are free-living saprophytes but several species cause important diseases: e.g. Batrachochytrium dendrobatidis, responsible for worldwide amphibian decline; and Synchytrium endobioticum, causing potato wart disease. S. endobioticum has an obligate biotrophic lifestyle and isolates can be further characterized as pathotypes based on their virulence on a differential set of potato cultivars. Quarantine measures have been implemented globally to control the disease and prevent its spread. We used a comparative approach using chytrid mitogenomes to determine taxonomical relationships and to gain insights into the evolution and recent history of introductions of this plant pathogen.

The genus Halophytophthora is a predominantly marine or estuarine genus of the oomycete family Peronosporaceae. This genus has been revealed as a highly polyphyletic assemblage of largely unrelated species. A new genus of the Peronosporaceae, Calycofera, is introduced in this manuscript to accommodate Halophytophthora operculata. Calycofera is distinct compared to Phytopythium s. str. and to Halophytophthora s. str. on the basis of sporangium morphology, sporangiogenous hyphae, and the development and release of zoospores. Phylogenetic analyses using ITS, cox2 and cox1 sequences strongly supported the establishment of this taxon. In addition, a second species of the genus was found, which is genetically more divergent from C. operculata than most sister species in the sister genus Phytopythium, and is described as C. cryptica based on diagnostic nucleotides.

Although the genus Clavibacter was originally proposed to accommodate all phytopathogenic coryneform bacteria containing B2γ diaminobutyrate in the peptidoglycan, reclassification of all but one species into other genera has resulted in the current monospecific status of the genus. The single species in the genus, Clavibacter michiganensis, has multiple subspecies, which are all highly host-specific plant pathogens. Whole genome analysis based on average nucleotide identity and digital DNA–DNA hybridization as well as multi-locus sequence analysis (MLSA) of seven housekeeping genes support raising each of the C. michiganensis subspecies to species status. On the basis of whole genome and MLSA data, we propose the establishment of two new species and three new combinations: Clavibacter capsici sp. nov., comb. nov. and Clavibacter tessellarius sp. nov., comb. nov., and Clavibacter insidiosus comb. nov., Clavibacter nebraskensis comb. nov. and Clavibacter sepedonicus comb. nov.

Synchytrium endobioticum is the fungal agent causing potato wart disease. Because of its severity and persistence, quarantine measures are enforced worldwide to avoid the spread of this disease. Molecular markers exist for species-specific detection of this pathogen, yet markers to study the intraspecific genetic diversity of S. endobioticum were not available. Whole-genome sequence data from Dutch pathotype 1 isolate MB42 of S. endobioticum were mined for perfect microsatellite motifs. Of the 62 selected microsatellites, 21 could be amplified successfully and displayed moderate levels of polymorphism in 22 S. endobioticum isolates from different countries. Nineteen multilocus genotypes were observed, with only three isolates from Canada displaying identical profiles. The majority of isolates from Canada clustered genetically. In contrast, most isolates collected in Europe show no genetic clustering associated with their geographic origin. S. endobioticum isolates with the same pathotype displayed highly variable genotypes and none of the microsatellite markers correlated with a specific pathotype. The markers developed in this study can be used to assess intraspecific genetic diversity of S. endobioticum and allow track and trace of genotypes that will generate a better understanding of the migration and spread of this important fungal pathogen and support management of this disease.

The genus Fusarium includes more than 200 species of which 73 have been isolated from human infections. Fusarium species are opportunistic human pathogens with variable aetiology. Species determination is best made with the combined phylogeny of protein-coding genes such as elongation factor (TEF1), RNA polymerase (RPB2) and the partial β-tubulin (BT2) gene. The internal transcribed spacers 1, 2 and 5.8S rRNA gene (ITS) have also been used, however, ITS cannot discriminate several closely related species and has nonorthologous copies in Fusarium. Currently, morphological approaches and tree-building methods are in use to define species and to discover hitherto undescribed species. Aftter a species is defined, DNA barcoding approaches can be used to identify species by the presence or absence of discrete nucleotide characters. We demonstrate the potential of two recently discovered DNA barcode loci, topoisomerase I (TOP1) and phosphoglycerate kinase (PGK), in combination with other routinely used markers such as TEF1, in an analysis of 144 Fusarium strains belonging to 52 species. Our barcoding study using TOP1 and PKG provided concordance of molecular data with TEF1. The currently accepted Fusarium species sampled were well supported in phylogenetic trees of both new markers.