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Strategies for Efficient RNAi-Based Gene Silencing of Viral Genes for Disease Resistance in Plants

Overview of attention for article published in Methods in molecular biology, January 2022
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Title
Strategies for Efficient RNAi-Based Gene Silencing of Viral Genes for Disease Resistance in Plants
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-1875-2_2
Pubmed ID
Authors

Kumar, Krish K, Varanavasiappan, Shanmugam, Arul, Loganathan, Kokiladevi, Easwaran, Sudhakar, Duraialagaraja

Abstract

RNA interference (RNAi) is an evolutionarily conserved gene silencing mechanism in eukaryotes including fungi, plants, and animals. In plants, gene silencing regulates gene expression, provides genome stability, and protect against invading viruses. During plant virus interaction, viral genome derived siRNAs (vsiRNA) are produced to mediate gene silencing of viral genes to prevent virus multiplication. After the discovery of RNAi phenomenon in eukaryotes, it is used as a powerful tool to engineer plant viral disease resistance against both RNA and DNA viruses. Despite several successful reports on employing RNA silencing methods to engineer plant for viral disease resistance, only a few of them have reached the commercial stage owing to lack of complete protection against the intended virus. Based on the knowledge accumulated over the years on genetic engineering for viral disease resistance, there is scope for effective viral disease control through careful design of RNAi gene construct. The selection of target viral gene(s) for developing the hairpin RNAi (hp-RNAi) construct is very critical for effective protection against the viral disease. Different approaches and bioinformatics tools which can be employed for effective target selection are discussed. The selection of suitable target regions for RNAi vector construction can help to achieve a high level of transgenic virus resistance.

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Unknown 1 100%

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Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 March 2022.
All research outputs
#18,232,412
of 23,414,653 outputs
Outputs from Methods in molecular biology
#7,432
of 13,324 outputs
Outputs of similar age
#345,824
of 508,689 outputs
Outputs of similar age from Methods in molecular biology
#289
of 594 outputs
Altmetric has tracked 23,414,653 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 508,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.