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

Phyton ◽  
2020 ◽  
Vol 89 (4) ◽  
pp. 1059-1081
Author(s):  
Abdulrahman Alasmari
Keyword(s):  
Saudi Arabia ◽  
Medicinal Plant ◽  
Dna Barcoding ◽  
Plant Species ◽  
Medicinal Plant Species

scholarly journals DNA barcoding augments conventional methods for identification of medicinal plant species traded at Tanzanian markets

2020 ◽  
Vol 250 ◽  
pp. 112495 ◽  
Author(s):  
Sarina Veldman ◽  
Yingzi Ju ◽  
Joseph N. Otieno ◽  
Siri Abihudi ◽  
Chantal Posthouwer ◽  
...  
Keyword(s):  
Medicinal Plant ◽  
Dna Barcoding ◽  
Plant Species ◽  
Medicinal Plant Species ◽  
Conventional Methods

scholarly journals DNA Barcoding of Selected Medicinal Plant Species from Jordan Using matK, rbcL, and rpoC1 Genes

2021 ◽  
Vol 15 ◽  
pp. 376-411
Author(s):  
Almuthanna K. Alkaraki ◽  
Maisam A. Aldmoor ◽  
Jamil N. Lahham ◽  
Shreen D. Nusair
Keyword(s):  
Medicinal Plants ◽  
Medicinal Plant ◽  
Dna Barcoding ◽  
Plant Species ◽  
Related Species ◽  
Dna Barcode ◽  
Dead Sea ◽  
Medicinal Plant Species ◽  
Bioinformatic Tools ◽  
Plant Samples

Medicinal plants play an essential role in preventing and treating several diseases. Classical taxonomic tools generally carry out medicinal plant identification and characterization. Unfortunately, conventional methods need well-trained taxonomists and could give a false identity for closely related species. Jordanian flora is rich in a variety of plant species. The phylogeographic architecture of Jordanian medicinal plant samples was not explored yet. This study aims to recruit DNA barcoding using matK, rbcL, and rpoC1 genes to identify different selected medicinal plants species from Jordan. These are Maerua crassifolia, Ziziphus spina-christi, Balanites aegyptiaca, Senna italica, and Moringa peregrina. Plant samples were collected from the Dead Sea area (Jordan), and three DNA barcode regions were amplified, sequenced, and analyzed using different bioinformatic tools. Twelve sequences were obtained and deposited in Genbank . These sequences showed a very good discrimination capacity with sequences retrieved from related species. The phylogenetic analysis illustrated that DNA barcoding could successfully identify the selected medicinal plant species using different chloroplast genes (rbcL, matK, and rpoC1). Further analysis for other plants species is recommended to explore the genetic relationship and the phylogeographic architecture for Jordanian flora.

scholarly journals Dormancy break in seeds of "quina" (Strychnos pseudoquina A. St.-Hil.)

2011 ◽  
Vol 13 (4) ◽  
pp. 507-511 ◽  
Author(s):  
J.M. Vasconcelos ◽  
M.A. Rodrigues ◽  
S.C. Vasconcelos Filho ◽  
J.F. Sales ◽  
F.G. Silva ◽  
...  
Keyword(s):  
Sulfuric Acid ◽  
Medicinal Plant ◽  
Gibberellic Acid ◽  
Plant Species ◽  
Germination Percentage ◽  
Boiling Water ◽  
Medicinal Plant Species ◽  
Distilled Water ◽  
Brazilian Cerrado ◽  
Germination Speed

"Quina" (Strychnos pseudoquina A. St. Hil) is a medicinal plant species from the Brazilian Cerrado. As its seeds show dormancy, they were subjected to the treatments pre-cooling at 5ºC during 7 days, pre-heating at 40ºC during 7 days, pre-soaking in sulfuric acid PA during 5 and 15 min, pre-soaking in boiling water during 5 and 15 min, pre-soaking in 100 and 200 ppm gibberellic acid during 48 h, pre-soaking in distilled water during 24 and 48 h, and mechanical scarification to break dormancy. Counts were daily conducted from the 2nd day after the experiment implementation until the germination stabilization at the 65th day. The germination speed index (GSI) and the germination percentage were evaluated. Germination rates above 96% were reached in seeds pre-soaked in water during 48 h and substrate moistened with water or KNO3.

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