Detection and Differentiation of Xanthomonas translucens Pathovars translucens and undulosa from Wheat and Barley by Duplex Quantitative PCR.

Two probe-based quantitative PCR (qPCR) systems, namely P-Xtt and P-Xtu, were developed to diagnose cereal bacterial leaf streak pathogens Xanthomonas translucens pv. translucens and pv. undulosa, respectively. P-Xtt is specific to pv. translucens, and P-Xtu is specific to pv. undulosa, pv. cerealis, pv. secalis, and pv. pistaciae. P-Xtt and P-Xtu worked on all accessible strains of pv. translucens and pv. undulosa, respectively. Both systems could detect 100 copies of the target gBlock DNA. The two systems could be used in both singleplex qPCR and duplex qPCR with similar efficiencies. On genomic DNA from strains of various X. translucens pathovars, both singleplex and duplex qPCR could specifically detect and differentiate pv. translucens and pv. undulosa. The duplex qPCR could detect pv. translucens and pv. undulosa from genomic DNA of 1,000 bacterial cells. On infected barley and wheat grain samples and on one infected wheat leaf sample, the duplex qPCR showed similar efficiency compared to a previously published qPCR system but with the additional capability of pathovar differentiation. The duplex qPCR system developed in this study will be useful in studies on bacterial leaf streak and detection/differentiation of the pathogens.

Phylogenomic Insights on the Xanthomonas translucens Complex, and Development of a TaqMan Real-Time Assay for Specific Detection of pv. translucens on Barley.

The reemergence and spread of Xanthomonas translucens, the causal agent of bacterial leaf streak in cereal crops and wilt in turfgrass and forage species, is a concern to growers in the United States and Canada. The pathogen is seedborne and listed as an A2 quarantine organism by EPPO, making it a major constraint to international trade and exchange of germplasm. The pathovar concept of the X. translucens group is confusing due to overlapping of plant host ranges and specificity. Here, comparative genomics, phylogenomics, and 81 up-to-date bacterial core gene set (ubcg2) were used to assign the pathovars of X. translucens into three genetically and taxonomically distinct clusters. The study also showed that whole genome-based digital DNA-DNA hybridization unambiguously can differentiate the pvs. translucens and undulosa. Orthologous gene and proteome matrix analyses suggest that the cluster consisting of graminis, poae, arrhenatheri, phlei, and phleipratensis is very divergent. Whole-genome data were exploited to develop the first pathovar-specific TaqMan real-time PCR tool for detection of pv. translucens on barley. Specificity of the TaqMan assay was validated using 62 Xanthomonas and non-Xanthomonas strains as well as growth chamber-inoculated and naturally infected barley leaves. Sensitivity levels of 0.1 pg (purified DNA) and 23 CFUs per reaction (direct culture) compared favorably with other previously reported real-time PCR assays. The phylogenomics data reported here suggest that the clusters could constitute novel taxonomic units or new species. Finally, the pathovar-specific diagnostic tool will have significant benefits to growers and facilitate international exchange of barley germplasm and trade.

Genetic diversity and population structure of Leptosphaeria maculans isolates in Western Canada.

Leptosphaeria maculans is a serious concern for canola production worldwide. For effective disease management, knowledge of the pathogen's genetic variability and population structure is a prerequisite. In this study, whole-genome sequencing was performed for 162 of 1590 L. maculans isolates collected in the years 2007-2008 and 2012-2014 in Western Canada. DNA variants in genome-wide and specific regions including avirulence (Avr) genes were characterized. A total of 31,870 high-quality polymorphic DNA variants were used to study L. maculans genetic diversity and population structure. Cluster analysis showed that 150 isolates were clustered into 2 main groups and 4 subgroups by DNA variants located in either Avr or small secreted protein-encoding genes and into 2 main groups and 6 subgroups by genome-wide variants. The analysis of nucleotide diversity and differentiation also confirmed genetic variation within a population and among populations. Principal component analysis with genome-wide variants showed that the isolates collected in 2012-2014 were more genetically diverse than those collected in 2007-2008. Population structure analysis discovered three distinct sub-populations. Although isolates from Saskatchewan and Alberta were of similar genetic composition, Manitoba isolates were highly diverse. Genome-wide association study detected DNA variants in genes AvrLm4-7, Lema_T86300, and Lema_T86310 associated with the years of collection.