Diseases that affect the vascular system or the pith are of great economic impact since they can rapidly destroy the affected plants, leading to complete loss in production. Fast and precise identification is thus important to inform containment and management, but many identification methods are slow because they are culture-dependent and they do not reach strain resolution. Here we used culture-independent long-read metagenomic sequencing of DNA extracted directly from stems of two tomato samples that displayed wilt symptoms. We obtained enough sequencing reads to assemble high quality metagenome-assembled genomes (MAGs) of from one sample and of from the other. The genome sequences allowed us to identify both pathogens to strain level using the genomerxiv platform, perform phylogenetic analyses, predict virulence genes, and infer antibiotic and copper resistance. In the case of , it was straightforward to exclude the pathogen from being the Select Agent Race 3 biovar 2. Using the Branchwater tool, it was also possible to determine the world-wide distribution of both pathogen strains based on public metagenomic sequences. The entire analysis could have been completed within two days starting with sample acquisition. Steps necessary towards establishing metagenomic sequencing as a more routine approach in plant diseases clinics are discussed.
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http://dx.doi.org/10.1094/PHYTO-09-24-0279-R | DOI Listing |
Virology
December 2024
Institute for Vaccine Research and Development, Hokkaido University, Sapporo, 001-0021, Japan; Department of Disease Control, School of Veterinary Medicine, The University of Zambia, Lusaka, 10101, Zambia; One Health Research Center, Hokkaido University, Sapporo, 060-0818, Japan; International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, 001-0020, Japan; Africa Center of Excellence for Infectious Diseases of Humans and Animals, The University of Zambia, Lusaka, 10101, Zambia. Electronic address:
Rotavirus C (RVC) causes acute gastroenteritis in neonatal piglets. Despite the clinical importance of RVC infection, the distribution and prevalence in pig populations in most African countries remains unknown. In this study, we identified RVC in Zambian pigs by metagenomic analysis.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning, Central China Normal University, Wuhan 430079, China.
Identifying phage-host interactions (PHIs) is a crucial step in developing phage therapy, which is the promising solution to addressing the issue of antibiotic resistance in superbugs. However, the lifestyle of phages, which strongly depends on their host for life activities, limits their cultivability, making the study of predicting PHIs time-consuming and labor-intensive for traditional wet lab experiments. Although many deep learning (DL) approaches have been applied to PHIs prediction, most DL methods are predominantly based on sequence information, failing to comprehensively model the intricate relationships within PHIs.
View Article and Find Full Text PDFFood Environ Virol
January 2025
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN, 46556, USA.
Wastewater-based surveillance has emerged as a powerful approach to monitoring infectious diseases within a community. Typically, wastewater samples are concentrated before viral analyses to improve sensitivity. Current concentration methods vary in time requirements, costs, and efficiency.
View Article and Find Full Text PDFPhytopathology
January 2025
Virginia Polytechnic Institute and State University, School of Plant and Environmental Science, Blacksburg, Virginia, United States;
Microb Genom
January 2025
Quadram Institute Bioscience, Norwich Research Park, Norwich, UK.
A diverse array of micro-organisms can be found on food, including those that are pathogenic or resistant to antimicrobial drugs. Metagenomics involves extracting and sequencing the DNA of all micro-organisms on a sample, and here, we used a combination of culture and culture-independent approaches to investigate the microbial ecology of food to assess the potential application of metagenomics for the microbial surveillance of food. We cultured common foodborne pathogens and other organisms including , spp.
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