This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1111/ppa.13871. This is version 4 of this Preprint.
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Abstract
Cereals are some of the most important global crops that contribute directly and indirectly to the production of food for human consumption. Cereal aphids can cause significant damage to wheat, barley, and oats, particularly via the transmission of plant viruses that cause devastating plant diseases, such as yellow dwarf disease. Yellow dwarf disease is caused by two related viruses within the Luteoviridae: Barley Yellow Dwarf Virus (BYDV, Luteovirus) and Cereal Yellow Dwarf Virus (CYDV, Polerovirus). High levels of yellow dwarf disease infection can result in yield losses of c. 20%, rising to 80% if infection is high. There are multiple B/CYDV species, some B/CYDV species are primarily vectored by one aphid species whereas others can be transmitted by multiple vectors.
Biological diversity within a given vector species (e.g., genotype, biotype) can influence virus transmission efficiency. However, it is unclear what biological factors drive this variation within a given vector species. Understanding how biological variation in vector populations influences virus transmission efficiency can help to identify biological traits that underpin successful transmission in competent vector populations. Here, the available literature on B/CYDV transmission efficiency is synthesised and significant variation in B/CYDV transmission efficiency is detected between different populations for several vector species. Three biological mechanisms that potentially underpin this variation are proposed.
DOI
https://doi.org/10.32942/X2SC8K
Subjects
Agricultural Science, Entomology, Plant Pathology
Keywords
Yellow dwarf virus, cereal aphid, transmission efficiency
Dates
Published: 2023-12-06 05:20
Last Updated: 2024-02-04 22:36
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License
CC BY Attribution 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Data and Code Availability Statement:
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
There are no comments or no comments have been made public for this article.