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Title: | Computational discovery of a miRNA and its putative target genes in Ziziphus jujuba using genome-wide expressed sequence tags |
Authors: | Mohamed Zakee, Mohamed Cassim Tharaka Fernando, Salpadoruge Sanjana Supun Sithy Safeena, Mohamed Ismail |
Keywords: | In Silico Analysis Jujube microRNA Rhamnaceae Post-Transcriptional Gene Regulation Stress tolerance |
Issue Date: | Sep-2023 |
Publisher: | Elsevier |
Citation: | South African Journal of Botany, Elsevier. (Vol. 160), September 2023, pp. 46-54. |
Abstract: | Ziziphus jujuba is an important fruit crop that is increasingly becoming popular among consumers due to its medicinal properties. Increasing worldwide demand for fruit poses new challenges to the industry, including the need for accelerated cultivar development of jujubes. To embark on cultivar development with improved traits such as high yield and disease resistance, molecular and conventional breeding, and genetic engineering become imperative. But inadequate trait-enhancing alleles or gene pleiotropism limit the direct use of several identified genes. To overcome these issues, microRNAs (miRNAs) can be utilized in the breeding of jujubes as genetic modulators to fine-tune the regulation of gene expression, thus the discovery of miRNAs becomes important. In this study, using a computational approach, we identified one potential miRNA (zju-miR-215–3p) from 2904 expressed sequence tags. The miRNA showed downregulation of five target proteins (AP-2 complex subunit alpha, C2H2-type domain-containing protein, sentrin-specific protease 1, hydrolase_4 domain-containing protein and putative alpha-ketoglutarate-dependent dioxygenase), most of which are implicated in metabolic and developmental processes associated with plant growth and reproduction. The suppression of these proteins appears to be helpful for the plant to overcome stress conditions. Future studies are necessary to validate the miRNA by RNA sequencing and to confirm the molecular functions of the down regulations of target proteins. |
URI: | https://doi.org/10.1016/j.sajb.2023.06.052 http://ir.lib.seu.ac.lk/handle/123456789/6782 |
ISSN: | 1727-9321 |
Appears in Collections: | Research Articles |
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Computational discovery of a miRNA.pdf | 159.79 kB | Adobe PDF | View/Open |
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