The bioinformatics method of polyprenol reductase genes in Elaeis guineensis

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Abstract

Even though led to minor components, Elaeis guineensis is well known to contain vitamin E, carotenoids, fatty acid, triterpenoid, and phytosterols. Recently the occurrence and pattern of long-chain polyisoprenoids from oil palm has been reported. The current study assesses the bioinformatics approaches to assay four probably polyprenol reductase genes from E. guineensis on NCBI database along with predicted the physical chemical, subcellular echolocation, and phylogenetic of polyprenol reductase. Several parameters of physicochemical polyprenol reductase in E. guineensis were varied among the genes observed. Results also showed the implication of understanding the variation and role of physical and chemical characteristics of the changed amino acids in oil palm polyprenol reductase genes. The subcellular location of these three genes has stored in the plasma membrane, Golgi body, endoplasmic reticulum (membrane and lumen). It is surprising to note that all the genes had the same values. The existence polyprenol reductase genes of E. guineensis in the clustering was supported by the dominated of carbon chain length of dolichols in the monocot plants.

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Basyuni, M., Hayati, R., & Chalil, D. (2019). The bioinformatics method of polyprenol reductase genes in Elaeis guineensis. In Journal of Physics: Conference Series (Vol. 1235). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1235/1/012046

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