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From current knowledge to best practice: A primer on Viral diagnostics using deep sequencing of virus-derived small interfering RNAs (vsiRNAs) in infected plants.

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Plants have evolved many defense strategies for combating viral infections. One major surveillance strategy adopted by them is manipulating viral sequences to generate distinct small RNA products via Dicer-like enzymes… Click to show full abstract

Plants have evolved many defense strategies for combating viral infections. One major surveillance strategy adopted by them is manipulating viral sequences to generate distinct small RNA products via Dicer-like enzymes (DCL), and thereby restricting virus multiplication through the RNA interference (RNAi) mechanism. The power of high-throughput sequencing technologies, with diverse computational tools to handle small RNA sequencing (sRNA-Seq) data, bestows unprecedented opportunities to answer fundamental questions in plant virology. Here, we present some basic concepts of virus-derived, small interfering RNA (vsiRNA) biogenesis in plants, optimization strategies, caveats, and best practices for efficient discovery and diagnosis of known as well as novel plant viruses/viroids using deep sequencing of small RNA (sRNA) pools.

Keywords: virus derived; using deep; derived small; small interfering; deep sequencing

Journal Title: Methods
Year Published: 2019

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