Draft Genome Sequences of Three Isolates of Coniothyrium glycines, Causal Agent of Red Leaf Blotch of Soybean.

Coniothyrium glycines, the causal agent of red leaf blotch in soybeans, is considered a high-consequence biological agent. With limited genomic information known, there are no molecular genotyping or detection methods available. We report the draft genome sequences of three C. glycines isolates, greatly enhancing our knowledge of this species.

Annotation and analysis of the mitochondrial genome of Coniothyrium glycines, causal agent of red leaf blotch of soybean, reveals an abundance of homing endonucleases.

Coniothyrium glycines, the causal agent of soybean red leaf blotch, is a USDA APHIS-listed Plant Pathogen Select Agent and potential threat to US agriculture. Sequencing of the C. glycines mt genome revealed a circular 98,533-bp molecule with a mean GC content of 29.01%. It contains twelve of the mitochondrial genes typically involved in oxidative phosphorylation (atp6, cob, cox1-3, nad1-6, and nad4L), one for a ribosomal protein (rps3), four for hypothetical proteins, one for each of the small and large subunit ribosomal RNAs (rns and rnl) and a set of 30 tRNAs. Genes were encoded on both DNA strands with cox1 and cox2 occurring as adjacent genes having no intergenic spacers. Likewise, nad2 and nad3 are adjacent with no intergenic spacers and nad5 is immediately followed by nad4L with an overlap of one base. Thirty-two introns, comprising 54.1% of the total mt genome, were identified within eight protein-coding genes and the rnl. Eighteen of the introns contained putative intronic ORFs with either LAGLIDADG or GIY-YIG homing endonuclease motifs, and an additional eleven introns showed evidence of truncated or degenerate endonuclease motifs. One intron possessed a degenerate N-acetyl-transferase domain. C. glycines shares some conservation of gene order with other members of the Pleosporales, most notably nad6-rnl-atp6 and associated conserved tRNA clusters. Phylogenetic analysis of the twelve shared protein coding genes agrees with commonly accepted fungal taxonomy. C. glycines represents the second largest mt genome from a member of the Pleosporales sequenced to date. This research provides the first genomic information on C. glycines, which may provide targets for rapid diagnostic assays and population studies.

Adaptation and Validation of E-Probe Diagnostic Nucleic Acid Analysis for Detection of Escherichia coli O157:H7 in Metagenomic Data from Complex Food Matrices.

The Centers for Disease Control and Prevention recently emphasized the need for enhanced technologies to use in investigations of outbreaks of foodborne illnesses. To address this need, e-probe diagnostic nucleic acid analysis (EDNA) was adapted and validated as a tool for the rapid, effective identification and characterization of multiple pathogens in a food matrix. In EDNA, unassembled next generation sequencing data sets from food sample metagenomes are queried using pathogen-specific sequences known as electronic probes (e-probes). In this study, the query of mock sequence databases demonstrated the potential of EDNA for the detection of foodborne pathogens. The method was then validated using next generation sequencing data sets created by sequencing the metagenome of alfalfa sprouts inoculated with Escherichia coli O157:H7. Nonspecific hits in the negative control sample indicated the need for additional filtration of the e-probes to enhance specificity. There was no significant difference in the ability of an e-probe to detect the target pathogen based upon the length of the probe set oligonucleotides. The results from the queries of the sample database using E. coli e-probe sets were significantly different from those obtained using random decoy probe sets and exhibited 100% precision. The results support the use of EDNA as a rapid response methodology in foodborne outbreaks and investigations for establishing comprehensive microbial profiles of complex food samples.

Validation of real-time PCR assays for bioforensic detection of model plant pathogens.

The U.S. agricultural sector is vulnerable to intentionally introduced microbial threats because of its wide and open distribution and economic importance. To investigate such events, forensically valid assays for plant pathogen detection are needed. In this work, real-time PCR assays were developed for three model plant pathogens: Pseudomonas syringae pathovar tomato, Xylella fastidiosa, and Wheat streak mosaic virus. Validation included determination of the linearity and range, limit of detection, sensitivity, specificity, and exclusivity of each assay. Additionally, positive control plasmids, distinguishable from native signature by restriction enzyme digestion, were developed to support forensic application of the assays. Each assay displayed linear amplification of target nucleic acid, detected 100 fg or less of target nucleic acid, and was specific to its target pathogen. Results obtained with these model pathogens provide the framework for development and validation of similar assays for other plant pathogens of high consequence.