Abstract
In this chapter we describe a series of computational pipelines for the in silico analysis of small RNAs (sRNA) produced in response to viral infections in plants. Our workflow is primarily focused on the analysis of sRNA populations derived from known or previously undescribed viruses infecting host plants. Furthermore, we provide an additional pipeline to examine host-specific endogenous sRNAs activated or specifically expressed during viral infections in plants. We present some key points for a successful and cost-efficient processing of next generation sequencing sRNA libraries, from purification of high quality RNA to guidance for library preparation and sequencing strategies. We report a series of free available tools and programs as well as in-house Perl scripts to perform customized sRNA-seq data mining. Previous bioinformatic background is not required, but experience with basic Unix commands is desirable.
Key words
- Plant viruses
- Small RNAs
- Antiviral silencing
- sRNA-seq
- Bioinformatic analysis
- Next generation sequencing
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Acknowledgments
This work was supported by National Research Grants BIO2012-39973, PCIN-2013-064, and BIO2015-70752 from Ministerio de Economía y Competitividad, Spain.
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Donaire, L., Llave, C. (2019). Computational Workflow for Small RNA Profiling in Virus-Infected Plants. In: Kobayashi, K., Nishiguchi, M. (eds) Antiviral Resistance in Plants. Methods in Molecular Biology, vol 2028. Humana, New York, NY. https://doi.org/10.1007/978-1-4939-9635-3_11
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DOI: https://doi.org/10.1007/978-1-4939-9635-3_11
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