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Virus Research
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RNAi tools for controlling viroid diseases

Authors: CARBONELL, ALBERTO;

RNAi tools for controlling viroid diseases

Abstract

Viroids are small (250-400 nucleotides), single-stranded, circular RNAs without protein-coding capacity that infect a large number of ornamental and crop plant species, causing high economic losses worldwide. Strategies to control viroid diseases have included the use of naturally resistant cultivars in breeding programs, the superinfection exclusion with mild strains, the expression of ribonucleases, sense or antisense (catalytic) RNAs and, more recently, RNA interference (RNAi)-based tools. Here, I review the different RNAi strategies used to control viroid infections in plants, with particular focus on highly specific artificial small RNA (art-sRNA)-based tools such as artificial microRNAs and synthetic trans-acting small interfering RNAs. The advantages and future perspectives of art-sRNA-based RNAi for controlling viroid diseases are discussed.

Countries
Spain, Spain
Keywords

Viroid, Artificial microRNA, Resistance, Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502, Viroids, Plant Breeding, RNAi, Artificial small RNA, RNA, Viral, Syn-tasiRNA, RNA Interference, RNA, Small Interfering, Plant Diseases

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
16
Top 10%
Average
Top 10%
96
237
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gold