Results 11 to 20 of about 524 (123)

Genome characterization of a newly discovered grapevine leafroll-associated virus S, in the genus ampelovirus by high-throughput sequencing [PDF]

open access: yesJournal of Genetic Engineering and Biotechnology
Background: Transcriptome data obtained from plant samples often contain significant numbers of reads originating from viral genomes, which are typically co-isolated during the RNA extraction process.
Malyaj R. Prajapati   +11 more
doaj   +2 more sources

Elucidating the Subcellular Localization of GLRaV-3 Proteins Encoded by the Unique Gene Block in N. benthamiana Suggests Implications on Plant Host Suppression [PDF]

open access: yesBiomolecules
Grapevine leafroll-associated virus 3 (GLRaV-3) is a formidable threat to the stability of the global grape and wine industries. It is the primary etiological agent of grapevine leafroll disease (GLD) and significantly impairs vine health, fruit quality,
Patrick Lameront   +6 more
doaj   +2 more sources

Commodity risk assessment of <i>Vitis</i> spp. plants from Moldova. [PDF]

open access: yesEFSA J
Abstract The European Commission requests EFSA to provide scientific opinions in the field of plant health in accordance with Article 29 of Regulation (EC) No 178/2002. Annex VI of Commission Implementing Regulation (EU) 2019/2072 lists plants, plant products and other objects whose introduction into the Union from certain third countries is prohibited.
EFSA Panel on Plant Health (PLH)   +37 more
europepmc   +2 more sources

An Innovative Binding-Protein-Based dsRNA Extraction Method: Comparison of Cost-Effectiveness of Virus Detection Methods Using High-Throughput Sequencing. [PDF]

open access: yesMol Ecol Resour
ABSTRACT Viral diseases represent a threat to global food production. Managing the impact of viruses on crop production requires the ability to monitor viruses, study their ecology and anticipate outbreaks. Double‐stranded RNA (dsRNA) sequencing is a well‐established and reliable method of detecting viruses and studying virome‐host interactions and ...
Fall ML   +5 more
europepmc   +2 more sources

Epidemiological Survey of Grapevine Leafroll-Associated Virus 1 and 3 in Sicily (Italy): Genetic Structure and Molecular Variability

open access: yesAgriculture, 2022
Background: the most widely distributed and virulent Grapevine leafroll-associated viruses (GLRaV) that affect grapevine are GLRaV-1 and GLRaV-3, transmitted semi-persistently by different mealybugs and soft scales, mainly causing downward rolling of the
Andrea Giovanni Caruso   +5 more
doaj   +1 more source

Occurrence of grapevine leafroll-associated virus complex in Napa Valley. [PDF]

open access: yesPLoS ONE, 2011
Grapevine leafroll disease (GLD) is caused by a complex of several virus species (grapevine leafroll-associated viruses, GLRaV) in the family Closteroviridae.
Abhineet M Sharma   +8 more
doaj   +1 more source

Retention and Transmission of Grapevine Leafroll-Associated Virus 3 by Pseudococcus calceolariae

open access: yesFrontiers in Microbiology, 2021
Grapevine leafroll-associated virus 3 (GLRaV-3), an economically significant pathogen of grapevines, is transmitted by Pseudococcus calceolariae, a mealybug commonly found in New Zealand vineyards.
Brogan McGreal   +11 more
doaj   +1 more source

Distinct Responses of Vitis aestivalis ‘Norton’ and Vitis vinifera ‘Kishmish Vatkana’ to Seven Viruses Revealed by Small RNA Sequencing

open access: yesPhytobiomes Journal, 2021
Grapevines are frequently infected by multiple viruses. Our previous study showed that Norton grapevine (Vitis aestivalis) is resistant to grapevine vein clearing virus (GVCV), a DNA virus in the family Caulimoviridae.
Susanne Howard   +3 more
doaj   +1 more source

Distribution and Genetic Diversity of Grapevine Viruses in Russia

open access: yesPlants, 2021
Viral diseases can seriously damage the vineyard productivity and the quality of grape and wine products. Therefore, the study of the species composition and range of grapevine viruses is important for the development and implementation of strategies and
Elena Porotikova   +4 more
doaj   +1 more source

Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 128, Issue 6, June 2023., 2023
Abstract Developing actionable early detection and warning systems for agricultural stakeholders is crucial to reduce the annual $200B USD losses and environmental impacts associated with crop diseases. Agricultural stakeholders primarily rely on labor‐intensive, expensive scouting and molecular testing to detect disease. Spectroscopic imagery (SI) can
Gloire Rubambiza   +4 more
wiley   +1 more source

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