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Showing 3 results for Etminan
Mahmood Aslanparviz, Varahram Rashidi, Mansour Omidi, Alireza Etminan, Alireza Ahmadzadeh,
Volume 8, Issue 2 (3-2022)
Abstract
Evaluation of genetic diversity is the key principal for plant breeding, providing an opportunity to discover novel characters and alleles for breeders. In the present study, 69 durum wheat genotypes were investigated for genetic diversity using several inter-simple sequence repeat (ISSR) markers. Sixteen ISSR primers amplified a total of 163 fragments, which out 160 fragments were polymorphic. The mean values of polymorphic information content (PIC), resolving power (Rp) and marker index (MI) indicated that the used ISSR primers could be exploited for further assessing relationships among investigated genotypes and population structure analysis. The results of the molecular analysis of variance showed that the genetic variation within populations is more than between them. Based on genetic variation parameters, the highest number of observed alleles (Na), Shannon’s information index (I) and the percentage of polymorphic loci (PPL) were found in Iranian landraces. Cluster analysis and population structure grouped all investigated genotypes into three main clusters and six subpopulations, respectively. In conclusion, our results revealed the high rate of genetic diversity within Iranian landraces, so this germplasm can be used as a valuable gene source for the selection of parent lines and use of them in durum wheat breeding programs.
Elina Nazari Khakshoor, Amin Azadi, Peyman Fourozesh, Alireza Etminan, Eslam Majidi Hervan,
Volume 9, Issue 1 (9-2022)
Abstract
Salinity stress falls into the major environmental factors that limit the production of various crops, including wheat. An effective approach to reducing the impacts of stress is the production of new salinity-tolerant cultivars. Accordingly, identifying effective genes and molecular mechanisms responsible for salinity tolerance is an essential step for breeding programs. In this investigation, a population of F12 recombinant inbred lines (RIL) comprising 186 genotypes was studied to identify the loci that control some physiological traits and element concentrations in the wheat seedling stage under salinity stress. Totally, 12 quantitative traits loci (QTLs) were identified for wet weight, dry weight, length, and sodium and potassium contents using the composite interval mapping (CIM) analysis. Most of the identified QTLs were located on chromosomes B and D. A gene ontology (GO) analysis specified candidate genes in QTL regions. However, it is noteworthy that candidate genes need confirmation using marker-assisted identification. The prioritization of genes resulted in determining 3486 candidate genes in 19 GO phrases (including eight biological processes). These genes are involved in the processes of glutathione metabolism, L-phenylalanine catabolism, cytoplasmic translation, auxin-activated signaling pathway, transcriptional regulation, DNA-patterning, protoporphyrinogen IX, cell wall organization and genesis, xyloglucan tRNA metabolism, protein glycosylation, pigment biosynthesis, etc. GO may be introduced for identifying novel CGs in which the associated QTL is responsible for complicated traits.
Ms Sahar Amiri, Hooman Salari, Alireza Etminan,
Volume 11, Issue 1 (9-2024)
Abstract
Tomato is the second important vegetable in the world. Therefore, disclosure the germplasm variation as a precursor for its breeding is highly valuable. The study was conducted to assess the genetic diversity in a collection of tomato germplasm including previously cultivated cultivars, currently being cultivated and promising tomato lines in Iran. Polymorphism analysis between cultivars was performed via 20 CBDP primers. The primers amplified 406 genomic fragments, of which 215 bands showed polymorphism and the average percentage of polymorphism was 51%. The average index of polymorphic information content (PIC) and resolving power (Rp) were estimated as 0.30 and 4.49, respectively, which indicated the relatively appropriate efficiency of the primers' used. The genetic distance between the pairs of studied cultivars according to the Jaccard Coefficient ranged from 0.16 to 0.54 and its average was estimated as 0.38. The lowest and highest genetic distance were observed in Matin and Sana with a value of 0.16 and Hypeel 303 and 693 with a value of 0.54, respectively. Cluster analysis based on the Jaccard distance coefficient and the Neighbor Joining algorithm divided the cultivars into five groups. It is relatively consistence with the results of the analysis to the principal coordinates which showed that the first two components explained 15.04% of the total changes. In conclusion, this research showed that there is to some extent low genetic diversity among the Tomato's cultivars in Iran, while the primers which used revealed the polymorphism between them competently and separated them thoroughly. Based on the indices calculated to evaluate the efficiency of primers, CBDP18 and CBDP12 primers showed better efficiency in differentiating the studied genotypes. Based on these results, the use of diverse genetic resources and development of new varieties is necessary to mitigate vulnerability and the risk of epidemic disease such as fungal pathogens in tomato cultivation.
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