A comparative template-switching cDNA approach for HTS-based multiplex detection of three viruses and one viroid commonly found in apple trees.

Exclusion is a keystone of integrated pest management to prevent the introduction of pathogens. U.S.

First Report of (DeLong and Wolcott) (Hemiptera: Cicadellidae) in Oklahoma.

The corn leafhopper, (DeLong and Wolcott) (Hemiptera: Cicadellidae), is an invasive insect that can cause damage to maize ( L.) in two ways: by direct feeding and the transmission of several plant pathogens. is an invasive and serious economic pest of maize that has spread from its center of origin in Mexico to the southernmost parts of the United States.

Simulated High Throughput Sequencing Datasets: A Crucial Tool for Validating Bioinformatic Pathogen Detection Pipelines.

The validation of diagnostic assays in plant pathogen detection is a critical area of research. It requires the use of both negative and positive controls containing a known quantity of the target pathogen, which are crucial elements when calculating analytical sensitivity and specificity, among other diagnostic performance metrics. High Throughput Sequencing (HTS) is a method that allows the simultaneous detection of a theoretically unlimited number of plant pathogens.

Development and evaluation of Microbe Finder (MiFi): a novel diagnostic platform for pathogen detection from metagenomic data.

With expanding demand for diagnostics, newer methodologies are needed for faster, user-friendly and multiplexed pathogen detection. Metagenome-based diagnostics offer potential solutions to address these needs as sequencing technologies have become affordable. However, the diagnostic utility of sequencing technologies is currently limited since analysis of the large amounts of data generated, are either computationally expensive or carry lower sensitivity and specificity for pathogen detection.

A Step Towards Validation of High-Throughput Sequencing for the Identification of Plant Pathogenic Oomycetes.

The advancement in high-throughput sequencing (HTS) technology allows the detection of pathogens without the need for isolation or template amplification. Plant regulatory agencies worldwide are adopting HTS as a prescreening tool for plant pathogens in imported plant germplasm. The technique is a multipronged process and, often, the bioinformatic analysis complicates detection.

An In Silico Detection of a Citrus Viroid from Raw High-Throughput Sequencing Data.

E-probe Diagnostic for Nucleic Acid Analysis (EDNA) is a user-friendly bioinformatic tool that has been adapted for the detection and identification of citrus exocortis viroid (CEVd). Here, we describe the procedures for RNA extraction from citrus tissues, library and sequencing preparation, and the utilization of EDNA Mi-Finder online platform on raw high-throughput sequencing (HTS) data.

TASPERT: Target-Specific Reverse Transcript Pools to Improve HTS Plant Virus Diagnostics.

High-throughput sequencing (HTS) is becoming the new norm of diagnostics in plant quarantine settings. HTS can be used to detect, in theory, all pathogens present in any given sample. The technique's success depends on various factors, including methods for sample management/preparation and suitable bioinformatic analysis.

Microbe Finder (MiFi): Implementation of an Interactive Pathogen Detection Tool in Metagenomic Sequence Data.

Agricultural high throughput diagnostics need to be fast, accurate and have multiplexing capacity. Metagenomic sequencing is being widely evaluated for plant and animal diagnostics. Bioinformatic analysis of metagenomic sequence data has been a bottleneck for diagnostic analysis due to the size of the data files.

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

, 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 isolates, greatly enhancing our knowledge of this species.

Whole-Genome Sequences of Ralstonia solanacearum Strains P816, P822, and P824, Emerging Pathogens of Blueberry in Florida.

Ralstonia solanacearum is the causal agent of bacterial wilt in numerous species of plants. Here, we report the whole-genome sequence of three phylogenetically diverse R. solanacearum strains, P816, P822, and P824, reported for the first time as causal agents of an emerging blueberry disease in Florida.

Inferring the presence of aflatoxin-producing Aspergillus flavus strains using RNA sequencing and electronic probes as a transcriptomic screening tool.

E-probe Diagnostic for Nucleic acid Analysis (EDNA) is a bioinformatic tool originally developed to detect plant pathogens in metagenomic databases. However, enhancements made to EDNA increased its capacity to conduct hypothesis directed detection of specific gene targets present in transcriptomic databases. To target specific pathogenicity factors used by the pathogen to infect its host or other targets of interest, e-probes need to be developed for transcripts related to that function.

A new approach for detecting fungal and oomycete plant pathogens in next generation sequencing metagenome data utilising electronic probes.

Early stage infections caused by fungal/oomycete spores may not be detected until signs or symptoms develop. Serological and molecular techniques are currently used for detecting these pathogens. Next-generation sequencing (NGS) has potential as a diagnostic tool, due to the capacity to target multiple unique signature loci of pathogens in an infected plant metagenome.

Population Structure of Pythium irregulare, P. ultimum, and P. sylvaticum in Forest Nursery Soils of Oregon and Washington.

Pythium species are important soilborne pathogens occurring in the forest nursery industry of the Pacific Northwest. However, little is known about their genetic diversity or population structure and it is suspected that isolates are moved among forest nurseries on seedling stock and shared field equipment. In order to address these concerns, a total of 115 isolates of three Pythium species (P.

E-probe Diagnostic Nucleic acid Analysis (EDNA): a theoretical approach for handling of next generation sequencing data for diagnostics.

Plant biosecurity requires rapid identification of pathogenic organisms. While there are many pathogen-specific diagnostic assays, the ability to test for large numbers of pathogens simultaneously is lacking. Next generation sequencing (NGS) allows one to detect all organisms within a given sample, but has computational limitations during assembly and similarity searching of sequence data which extend the time needed to make a diagnostic decision.