Prospective Applications of the Medicinal Desert Plant
Rhazya stricta in Green Chemistry Genomics and
Agriculture Biotechnology: Mini Review
Volume 1 - Issue 5
Mohamed Nabih Baeshen1, Mohiuddin Khan Warsi2, Arwa A Makki2, Dina Hajjar2, Mohammad Azhar Kamal2,
Ammar AL-Farga2* and Nabih A Baeshen3
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- 1Department of Biological Sciences, Faculty of Science, University of Jeddah, Saudi Arabia
- 2Department of Biochemistry, Faculty of Science, University of Jeddah, Saudi Arabia
- 3Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Saudi Arabia
*Corresponding author:
Ammar AL-Farga, Department of Biochemistry, Faculty of Science, University of Jeddah, Jeddah, Saudi
Arabia
Received: October 18, 2019; Published: October 30, 2019
DOI: 10.26717/CTBB.MS.ID.000125
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Abstract
The medicinal desert shrub Rhazya stricta is a member of the Apocynaceae family. This plant is a local shrub, which mostly found around and within the valleys in desert lands. R. strictawas one of the famous medicinal plants in traditional and folkloric medicine. As well as to its medicinal properties, it’s also a promising plant in the field of bioengineering and the future of genetically modified corps according to its resistance biotic and biotic stress factors and its survival in the harsh desert conditions. The plant was used over history in many nations and prescribed to treat many infections, inflammations, and diseases. On the basis of various experimental validations, it’s been found that R. stricta has various chemotherapeutic properties such as, anti-cancer, anti-diabetic, and antibacterial effects, including. Future studies must concentrate on the chemoinformatics, bioengineering, natural product genomics and metabolomics of the plant. It can be concluded that R. strictais wealth resource for many cosmetic and pharmaceutical products and a solution for genetic modification of many corps according to its resistant genes to biotic and abiotic conditions.
Keywords: Rhazyastricta;Chemoinformatics; Bioengineering; Genomics; Bioinformatics; Metabolomics
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