Please use this identifier to cite or link to this item: 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

Files in This Item:
There are no files associated with this item.


Items in IR@NIPGR are protected by copyright, with all rights reserved, unless otherwise indicated.