We report the genome sequence of a putative new foveavirus infecting non-cultivated Vitis vinifera, tentatively named "grapevine foveavirus A" (GFVA). This virus was identified by high-throughput sequencing analysis of a European wild Vitis collected in Switzerland. Phylogenetic analysis revealed that this virus clustered with known grapevine virus T (GVT) isolates but was clearly distinct from any of them. If considering the International Committee of Taxonomy of Viruses (ICTV)-suggested foveavirus species demarcation criterion based on sequence similarity in the replicase gene/protein, this virus should be considered a member of a new species closely related to GVT. On the other hand, comparison of capsid gene/protein sequences using the same criteria indicates that GFVA is at the border of species demarcation. Whether this virus represents a highly divergent GVT isolate or a member of a distinct but closely related species is discussed.
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http://dx.doi.org/10.1007/s00705-020-04817-x | DOI Listing |
Viruses
January 2025
Instituto de Patología Vegetal, Centro de Investigaciones Agropecuarias, Instituto Nacional de Tecnología Agropecuaria (IPAVE-CIAP-INTA), Camino 60 Cuadras Km 5,5, Córdoba X5020ICA, Argentina.
The European grapevine moth () poses a significant threat to vineyards worldwide, causing extensive economic losses. While its ecological interactions and control strategies have been well studied, its associated viral diversity remains unexplored. Here, we employ high-throughput sequencing data mining to comprehensively characterize the virome, revealing novel and diverse RNA viruses.
View Article and Find Full Text PDFPlants (Basel)
January 2025
Department of Agricultural, Forest and Food Sciences, Università degli Studi di Torino, 10095 Grugliasco, Italy.
Fruit dropping represents a concern in many fruit species, including L. This research investigated the role of two plant growth regulators (PGRs), naphthaleneacetic acid (NAA) and 1-methylcyclopropene (1-MCP), in mitigating preharvest berry dropping (PHBD) through affecting ethylene (ET) and auxin (AUX) metabolism and interactions, key hormones involved in abscission. The experiment was carried out on cv.
View Article and Find Full Text PDFPlants (Basel)
January 2025
National Wine Agency of Georgia, Tbilisi 0159, Georgia.
Repeated expeditions across various regions of Georgia in the early 2000s led to the identification of 434 wild grapevine individuals ( L. subsp. (C.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Environmental Remote Sensing and Geoinformatics, Trier University, Universitätsring 15, 54296 Trier, Germany.
Assessing vines' vigour is essential for vineyard management and automatization of viticulture machines, including shaking adjustments of berry harvesters during grape harvest or leaf pruning applications. To address these problems, based on a standardized growth class assessment, labeled ground truth data of precisely located grapevines were predicted with specifically selected Machine Learning (ML) classifiers (Random Forest Classifier (RFC), Support Vector Machines (SVM)), utilizing multispectral UAV (Unmanned Aerial Vehicle) sensor data. The input features for ML model training comprise spectral, structural, and texture feature types generated from multispectral orthomosaics (spectral features), Digital Terrain and Surface Models (DTM/DSM- structural features), and Gray-Level Co-occurrence Matrix (GLCM) calculations (texture features).
View Article and Find Full Text PDFSensors (Basel)
January 2025
Instituto de Engenharia de Sistemas e Computadores-Microsistemas e Nanotecnologias (INESC-MN), Rua Alves Redol, 1000-029 Lisbon, Portugal.
Point-of-care (PoC) devices offer a promising solution for fast, portable, and easy-to-use diagnostics. These characteristics are particularly relevant in agrifood fields like viticulture where the early detection of plant stresses is crucial to crop yield. Microfluidics, with its low reagent volume requirements, is well-suited for such applications.
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