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DNA-Barcoding of Some Medicinal Plant Species in Saudi Arabia Using rbcL and matK Genes

Abdulrahman Alasmari*

Department of Biology, Faculty of Science, University of Tabuk, Tabuk, 71491, Saudi Arabia

* Corresponding Author: Abdulrahman Alasmari. Email: email

Phyton-International Journal of Experimental Botany 2020, 89(4), 1059-1081. https://doi.org/10.32604/phyton.2020.010952

Abstract

In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal plant species based on genetic diversity. During our study we were successful in identifying and documenting 4 different species (Foeniculum vulgare, Nitraria retusa, Dodonaea viscosa, and Rumex nervosus) located in Saudi Arabia using DNA barcoding technique. A total number of 8 sequences were obtained with a total sequence length of 6176 bp, where it ranged from 617 bp to 878 bp with an average length of 772 bp. The total number of rbcL sequences length is 2801 bp, where it ranges from 617 bp to 807 bp with an average length of 700.2 bp. Out of the 4 plant samples used, only three samples were identified correctly on the species level with an identity percentage higher than 95% using rbcL gene. Additionally, 4 matK sequences have been retrieved belong to 4 species. The total number of matK sequences length is 3375 bp, where it ranges from 819 bp to 878 bp with an average length of 843.8 bp. Out of the 4 plant samples used, only two samples were identified correctly on the species level with an identity percentage higher than 98% using matK gene. Both rbcL and matK have been able to identify most of our collected plant samples by genus, and some by species. Using only one DNA-barcoding technique was not reliable for plant identification, where matK and rbcL must be used as a dual DNA-barcoding procedure.

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APA Style
Alasmari, A. (2020). Dna-barcoding of some medicinal plant species in saudi arabia using rbcl and matk genes. Phyton-International Journal of Experimental Botany, 89(4), 1059-1081. https://doi.org/10.32604/phyton.2020.010952
Vancouver Style
Alasmari A. Dna-barcoding of some medicinal plant species in saudi arabia using rbcl and matk genes. Phyton-Int J Exp Bot. 2020;89(4):1059-1081 https://doi.org/10.32604/phyton.2020.010952
IEEE Style
A. Alasmari, "DNA-Barcoding of Some Medicinal Plant Species in Saudi Arabia Using rbcL and matK Genes," Phyton-Int. J. Exp. Bot., vol. 89, no. 4, pp. 1059-1081. 2020. https://doi.org/10.32604/phyton.2020.010952

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cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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