DNA-barcoding and Species Identification for some Saudi Arabia Seaweeds using rbcL Gene

Alshehri, Mohammed Ali; Aziz, Al Thabiani; Alzahrani, Othman R.; Alasmari, Abdulrahman; Ibrahim, Sherif; Osman, Gamal; Bahattab, Omar

doi:10.22207/jpam.13.4.15

Cited by 10 publications

(9 citation statements)

References 42 publications

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“…Sequence Alignments were conducted using CLUSTALW [19]. The phylogenetic analysis was performed using iTOL [3]. Multivariate phylogenetic visualizing and clustering of data of similarity was shown using ClustVis web tool [20].…”

Section: Computational Analysismentioning

confidence: 99%

“…Additionally, today medicinal plants are promoted as herbal medicines or natural health products. They are often considered as safe but adulterated, falsified and low-quality products pose serious security threats to consumers and the current markets [3]. Inaccurate identification use predominantly morphological characteristics of many plants has resulting in adulteration and displacement of plant products which undermine their therapeutic value [4].…”

Section: Introductionmentioning

confidence: 99%

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

Alasmari¹

2020

Phyton

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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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Section: Computational Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Alasmari¹

2020

Phyton

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“…Seaweeds are frequently subjected to harsh environmental conditions with no visible damage; as a result, the seaweed generates a wide variety of metabolites (xanthophylls, tocopherols, and polysaccharides) to defend itself from biotic and abiotic factors such as herbivory or mechanical aggression at sea [6]. Please note that the content and diversity of seaweed metabolites are influenced by abiotic and biotic factors such as species, life stage, nutrient enrichment, reproductive status, light intensity exposure, salinity, phylogenetic diversity, herbivory intensity, and time of collection; thus, fully exploiting algal diversity and complexity necessitates knowledge of environmental impacts as well as a thorough understanding of biological and biochemical variability [7,8].…”

Section: Introductionmentioning

confidence: 99%

Phytochemical and Potential Properties of Seaweeds and Their Recent Applications: A Review

et al. 2022

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Since ancient times, seaweeds have been employed as source of highly bioactive secondary metabolites that could act as key medicinal components. Furthermore, research into the biological activity of certain seaweed compounds has progressed significantly, with an emphasis on their composition and application for human and animal nutrition. Seaweeds have many uses: they are consumed as fodder, and have been used in medicines, cosmetics, energy, fertilizers, and industrial agar and alginate biosynthesis. The beneficial effects of seaweed are mostly due to the presence of minerals, vitamins, phenols, polysaccharides, and sterols, as well as several other bioactive compounds. These compounds seem to have antioxidant, anti-inflammatory, anti-cancer, antimicrobial, and anti-diabetic activities. Recent advances and limitations for seaweed bioactive as a nutraceutical in terms of bioavailability are explored in order to better comprehend their therapeutic development. To further understand the mechanism of action of seaweed chemicals, more research is needed as is an investigation into their potential usage in pharmaceutical companies and other applications, with the ultimate objective of developing sustainable and healthier products. The objective of this review is to collect information about the role of seaweeds on nutritional, pharmacological, industrial, and biochemical applications, as well as their impact on human health.

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“…Taxonomic resolution has also been determined within the orders Gigartinales (Le Gall and Saunders 2010;Payo et al 2013;Saunders 2005), Bangiales (Robba et al 2006), Rhodymeniales (Saunders 2005), and Corallinales (Hind and Saunders 2013;Torrano-Silva et al 2018). Likewise, studies have helped to identify species in regional seaweed communities (Alshehri et al 2019), with occasional confirmation of exotic species unveiled by molecular tools (Montes et al 2017). Macroalgal-related works supplementing morphological observations with molecular identifications offer reliability and are common practice nowadays.…”

Section: Species Identification Through the Coi-5p Genementioning

confidence: 99%

Identification of Gracilariaceae (Rhodophyta) of central Portugal by histological and genetic methods

et al. 2021

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This study aims to identify different populations of Gracilariaceae collected from the central coast of Portugal through light microscopy, anatomical observations and genetic tools, essential approaches to correctly assign species identity. Samples were obtained from Ria de Aveiro (AV), Figueira da Foz (FFBC, FFMD), and Lagoa de Óbidos (LOBR, LOEV, LOBS). Although histological observations offered a visual representation of the characteristic pseudoparenchymatous organization, they did not allow a clear distinction among the species. The amplification of a ∼700 bp fragment of the mitochondrial cytochrome oxidase I gene, and its sequencing enabled us to assign the populations FFBC and LOBS to Gracilaria gracilis, and the populations AV, FFMD, LOBR, and LOEV to Agarophyton vermiculophyllum. This contribution will help phycologists to correctly identify the Portuguese populations of Gracilaria sensu lato at the species level, which will be crucial in ensuring that future studies and industrial exploration accurately target the correct species.

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DNA-barcoding and Species Identification for some Saudi Arabia Seaweeds using rbcL Gene

Cited by 10 publications

References 42 publications

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

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

Phytochemical and Potential Properties of Seaweeds and Their Recent Applications: A Review

Identification of Gracilariaceae (Rhodophyta) of central Portugal by histological and genetic methods

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