Abstract
microRNAs (miRNAs) are the central component of an important layer of regulation of gene expression at posttranscriptional level. In plants, miRNAs target the transcripts in a highly complementary sequence-dependent manner. Extensive research is being made to study genome-wide miRNA-mediated regulation of gene expression, which has resulted in the development of many tools for in silico prediction of miRNA targets. Although several tools have been developed for predicting miRNA targets in model plants, genome-wide analysis of miRNA targets is still a challenge for non-model species that lack dedicated tools. Here, we describe an in silico procedure for studying miRNA-mediated interactions in plants, which is based on the fact that canonical miRNA-target sites are highly complementary, the miRNAs negatively regulate the expression of their target genes, and miRNAs may form regulatory networks as one miRNA may target more than one transcript and vice versa to modulate and fine-tune expression of the genome.
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Acknowledgment
SPP acknowledges financial support by Max Planck Society and Max Planck India partner group program.
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Pandey, P., Srivastava, P.K., Pandey, S.P. (2019). Prediction of Plant miRNA Targets. In: de Folter, S. (eds) Plant MicroRNAs. Methods in Molecular Biology, vol 1932. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9042-9_7
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DOI: https://doi.org/10.1007/978-1-4939-9042-9_7
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