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Document Type |
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Thesis |
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Document Title |
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IDENTIFICATION OF RHAZYA STRICTA PLANT USING DNA BARCODES تعريف نبات حرمل الرازى باستخدام شفرة الدنا القضيبية |
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Subject |
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Faculty of Science |
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Document Language |
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Arabic |
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Abstract |
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The desert plant Rhazya stricta Decne from the Apocynaceae holds a significant status among the indigenous medicines of Saudi Arabia. Its innumerable therapeutic properties specifically, anti-cancer, anti-diabetic and antimicrobial ones are attributed to more than100 alkaloids it possesses. However, these pharmacological benefits are directly linked to authentic identification of this species. And, when this folkloric herb is procured from the market its identification becomes challenging in the absence of distinct phenotypic traits, as there it is found in dried or powdered form. Thus, ensuing a dire need for accurate identification of this plant species at the molecular level. With a molecular tool like DNA barcoding, this species can be accurately identified irrespective of its physical state. However, there are challenges pertaining to this tool concerning the marker locus variation. The primary objective of this study was to safeguard consumers’ health by developing the best DNA barcode markers of Rhazya stricta. Nine potential barcode markers from coding (matK, rbcL, rpoB and rpoC1), and non-coding (psbA-trnH, atpF-atpH and psbK-psbI) loci from chloroplast and (nrITS1 and ITS2) nuclear genomes were accessed to investigate taxonomic accuracy of R. stricta. Another purpose of this study was to rule out the occurrence of any other species belonging to the ditypic genus Rhazya here in Saudi Arabia, other than the investigated plant species R. stricta. To accomplish these intents sixty fresh and dried samples were collected. DNA sequences from the fresh samples were compared with the database sequences of R. stricta, R. orientalis, and eight other related species. Basic Local Alignment Search Tool, nearest distance and tree methods: Maximum Likelihood (ML) and Bayesian tree were utilized to ascertain the results. Two-dimensional DNA barcode (i.e., QR codes) for the proposed barcode regions were created and validated using dried powered market samples. |
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Supervisor |
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Dr. Nabih Baeshen |
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Thesis Type |
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Doctorate Thesis |
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Publishing Year |
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1442 AH
2020 AD |
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Added Date |
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Saturday, November 14, 2020 |
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Researchers
| سامية عقيل خان | Khan, Samia Aqeel | Researcher | Doctorate | |
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