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Showing 3 results for Cheghamirza
Sahar Dashchi, Hassan Rahnama, Kianoosh Cheghamirza, Katayun Zamani,
Volume 7, Issue 2 (3-2021)
Abstract
In oilseed crops, a number of genes involved in the production of triacylglycerol have been identified that changes in their expression have increase the seed oil content. WRI1 and LPAAT are key genes in this synthetic pathway that their overexpression can increase the oil content. In this study, the expression vectors carrying WRI1 and LPAAT genes were designed and constructed for genetic transformation of tobacco (Nicotiana tabaccum) plants. The synthetic WRI1 and LPAAT genes were isolated from the PGH.WRI1 and PGH.LPAAT cloning vector using specific restriction enzymes and then cloned in the PGH.O3.2.2 intermediate vector under the control of SBP and Napin promoters and E9 terminator. Finally, the genetic cassettes were transferred to the plant transformation pBin19 binary vector. The resulting constructs were transferred to Agrobacterium tumefacience strain EHA105 and were used for genetic transformation of tobacco plants. Molecular analysis of transgenic plants confirmed the presence and activity of WRI1 and LPAAT genes. Seeds from transgenic plants were selected on the medium containing kanamycin and developed strong and healthy seedlings.
Reza Amiri, Sohbat Bahraminejad, Kianoosh Cheghamirza,
Volume 8, Issue 1 (8-2021)
Abstract
The study of the genetic structure controlling agronomic traits is one of the preconditions for selecting the appropriate breeding method. In order to analyze genetic of some agronomic traits of bread wheat using generation mean analysis, parents and different generations resulting from the cross of Marvdasht × MV-17 wheat cultivars were assessed in a randomized complete block design with three replicates under normal and terminal drought stress conditions in Research Farm of Razi University (Iran) during 2015-2016 cropping season. Based on the results of weighted ANOVA, a significant difference was observed between different generations for most of the studied traits under both conditions. Generations mean analysis revealed that in addition to the additive and dominance gene effects, a variety of epistatic effects also played a role in the inheritance of most traits, and therefore cannot hope for the success of selection in first generations. The role of additive gene effect was greater than the dominance one for plant height, peduncle length and awn length, indicating usefulness of using recurrent selection to aggregate these genes followed by selecting lines with favorable agronomic characteristics. The model of genetic control for most of the traits was similar under both conditions in terms of the presence or absence of non-allelic interactions and it has not been widely affected by drought stress. The broad-sense heritability for plant height, peduncle length and awn length was estimated to be high under both conditions. The broad-sense heritability for kernel yield was moderate estimated under both conditions, but the narrow-sense heritability was very low. In general, considering the greater role of the non-additive gene effect for most of the traits, the selection is suggested in advanced generations and after access to a high level of gene fixation.
Maryam Ghorbani, Kianoosh Cheghamirza, Saeed Abbasi, Zahra Aziziaram,
Volume 10, Issue 1 (9-2023)
Abstract
The current research was carried out to evaluate genetic diversity of 18 common bean cultivars and promising lines and to determine SSR and SCoT informative markers associated with 14 seed characteristics including the number of seeds per pod, 100 seed weight, seed length, seed width, the contents of crude protein, total soluble sugar, starch content, crude fat, iron, calcium, magnesium, zinc, uronic acid, and mineral ash. The polymorphism information content (PIC) values varied from 0.2 to 0.5 with an average of 0.39 for the SSR markers and from 0.19 to 0.42 with an average of 0.34 for the SCoT markers. The total average resolving power of SSR and SCoT markers were 1.54 and 5.34, respectively, indicating higher efficiency of SCoT markers than SSR markers for the diversity analysis. The common bean studied genotypes were clustered into three distinct groups for both markers based on the Complete Linkage method. Principal coordinate analysis (PCoA) for the SSR markers revealed that the first two principal components justified 59.05% of whole variation. For the SCoT marker, on the other hand, the fraction of variances explained by the first two principal components was equal to 25.43 indicating a better distribution of SCoT markers than SSR markers in the common bean genome. Analysis of molecular variance based on the grouping obtained from cluster analysis showed that the diversity within the group based on SSR and SCoT markers was equal to 89 and 78%, respectively. The results of regression analysis for the studied markers and the bean seed characteristics showed the existence of a significant relationships between a single marker with the several studied traits. This could indicate the association or linkage of the marker locations. Twelve out of 14 of the investigated common bean seed characteristics showed a significant relationship with at least one molecular marker.
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