Original Article
Phenotypes and Genotypes
Maryam Moghaddaszadeh; Leila Fahmideh; Bahman Fazeli-Nasab
Volume 1, Issue 1 , Winter 2021, Pages 1-8
Abstract
Background: The genetic diversity study of mangoes for breeding programs and conservation of genetic resources is vital and knowledge of genetic diversity in Mango genotypes is important for selecting parents in breeding programs. Therefore, genetic variation of 30 genotypes of Iranian mango plants were ...
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Background: The genetic diversity study of mangoes for breeding programs and conservation of genetic resources is vital and knowledge of genetic diversity in Mango genotypes is important for selecting parents in breeding programs. Therefore, genetic variation of 30 genotypes of Iranian mango plants were evaluated using 15 IRAP markers. Methods: The plant genotypes were obtained from Jiroft region. DNA extraction was performed by the CTAB method and primers were designed using the primers3 database. The data were analyzed using the GenAlex and Popgene softwares. Results: The number of bands ranged from 3 (Ltr3 and Ltr1 & Ltr15) to 12 (Ltr1 & Ltr2) for each marker. The highest (4.76) and lowest (0.18) marker indexes were found for the markers Ltr2, and Ltr15, respectively. The marker indexes average was 1.91. The highest number of effective alleles (1.79), neon variation index (0.43) and Shannon variety (0.63) were belonging to the primer of Ltr3. The least heterozygosity(12.2), polymorphic location(36.36), Shannon variety index (17.1) and effective alleles number (18.1) were belonging to the mangoes collected from Rodan. The highest Heterozygosity(28.8), multivariate percentage(90.91), Shannon diversity index (41.4) and effective alleles (43.1) were belonging to the mangoes collected from Manojan region. The molecular variance analysis showed that the genetic diversity between populations was 90 percent. The highest genetic distance was found between mango and coconut genotypes. The highest intra-population variation was found in among all genotypes of Jiroft area. Conclusion: it can be concluded that for any kind of crossing and modification of the medicinal plant mango, it is better to use the genotypes of Jiroft region, especially almutri as one of Paternal, maternal or genetic donors.
Review Article
Ali Maghsoudi; Davoud Naderi
Volume 1, Issue 1 , Winter 2021, Pages 9-17
Abstract
Background: Regulation of transcription and translation pathways in the living cell is of particular importance, in which organized structural elements play an important role. In hydrogen bonds, through hydrophobic interactions, they stabilize the twists and turns of the RNA molecule in a wide network. ...
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Background: Regulation of transcription and translation pathways in the living cell is of particular importance, in which organized structural elements play an important role. In hydrogen bonds, through hydrophobic interactions, they stabilize the twists and turns of the RNA molecule in a wide network. The aim of this study is to introduce a number of RNA motifs that play important and valuable roles in biological processes. These types of motifs are generally effective in regulating gene expression, maintaining the structure and strength of the RNA molecule, splicing the initial mRNA, and the appropriate detection site for protein binding. Methods: In this study, QRNA, RNAz, Cmfinder detection algorithms were investigated and a number of functional and structural motifs were introduced. Results: Among the RNA-motifs studied, the Pseudoknot motif was of particular importance in participating in various biological activities. Among these activities is the change in gene expression of pathogenic in some viruses and the formation of telomerase and self-splicing introns, which is one of the most important corrective factors in biotechnology. Another important feature of this motif is the reverse transcriptase-binding inhibitory of the Human Immunodeficiency Virus (HIV) that can be effective in treating this deadly and dangerous disease. The G-bulge motif can also help the medical sciences and treatment of some diseases in future due to the overall infectivity of HIV through genetic engineering techniques. Conclusion: Based on the results of this study, it can be suggested that more studies be done on bioinformatics analysis of plant motifs to see more success in controlling pathogens in plants.
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