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http://223.31.159.10:8080/jspui/handle/123456789/1633
Title: | Identification of virus-derived small interfering RNAs (vsiRNAs) from infected sRNA-Seq samples |
Authors: | Vivek, A. T. Kumar, Shailesh |
Keywords: | RNAs (vsiRNAs) sRNA-Seq Samples |
Issue Date: | 2024 |
Publisher: | Springer Nature Publishing AG |
Citation: | Methods in Molecular Biology, 2812: 307-315 |
Abstract: | Plants have developed sophisticated defense mechanisms to combat viral infections, prominently utilizing Dicer-like enzymes (DCL) for generating virus-derived small interfering RNAs (vsiRNAs) through RNA interference (RNAi). This intrinsic mechanism effectively impedes virus replication. Exploiting their potential, vsiRNAs have become a major focus area for comprehensive viral investigations in plants, integrating both bioinformatics and experimental strategies. This chapter introduces an up-to-date computational workflow optimized for identifying and comprehensively annotating vsiRNAs with the utilization of small RNA sequencing (sRNA-seq) data collected from virus-infected plants. The workflow detailed in this chapter centers on known plant-targeting viruses, providing step-by-step guidance to enhance vsiRNA analysis, ultimately advancing the comprehension of plant-virus interactions. |
Description: | Accepted date: 28 July 2024 |
URI: | https://link.springer.com/protocol/10.1007/978-1-0716-3886-6_17 http://223.31.159.10:8080/jspui/handle/123456789/1633 |
ISBN: | 978-1-0716-3885-9 978-1-0716-3886-6 |
Appears in Collections: | Institutional Publications |
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