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۱Isolation, molecular cloning and expression analysis of Aeluropus littoralis Monodehydroascorbate reductase (MDHAR) gene under salt stress
اطلاعات انتشار: Journal of Plant Molecular Breeding، سوم،شماره۱، ۲۰۱۵، سال
تعداد صفحات: ۹
Plants are naturally exposed to frequent changes in environmental conditions such as salt stress affecting their growth and development, and consequently a considerable reduction in total productivity. Monodehydroascorbate reductase (MDHAR), a key enzyme in ascorbate–glutathione cycle, serves as an important antioxidative enzyme in scavenging of reactive oxygen spices (ROS). In this study, MDHAR gene from Aeluropus littoralis was isolated using specific primers by RT–PCR and its expression variation was investigated at 0, 150, 300, 450 and 600 mM of NaCl through Real–time PCR. The results indicated that A. littoralis MDHAR gene compromised 1436 bp without any introns, showing a high similarity with Sorghum bicolor. The only alteration of MDHAR expression was observed at 300 mM NaCl, i.e. cytosolic MDHAR in both shoot and root was increased 1.3 and 1.4 fold compared to control samples. It could be concluded that accumulation of MDHAR reduces at Nacl concentrations higher than 300 mM.

۲Fingerprinting and genetic diversity evaluation of rice cultivars using Inter Simple Sequence Repeat marker
اطلاعات انتشار: Journal of Plant Molecular Breeding، سوم،شماره۱، ۲۰۱۵، سال
تعداد صفحات: ۱۱
Rice as one of the most important agricultural crops has a putative potential for ensuring food security and addressing poverty in the world. In the present study, in order to provide basic information to improve rice through breeding programs, Inter Simple Sequence Repeat marker (ISSR) was used For DNA fingerprinting and finding genetic relationships among 32 different cultivars. In this study, 12 out of 17 used primers amplified 184 distinct and reproducible fragments with high value of polymorphism (88%). also, for fingerprinting the cultivars 29 loci were used that generated high polymorphic bands among the cultivars. Results indicated that similarity index varied between 39% and 88.4 %, furthermore, PIC value with an average of 23% ranged between 0.1 (for primer #3) to 0.34 (for primer #2). Clustering based on Jaccard coefficient similarity index and UPGMA algorithm divided the cultivars into 6 main sub–clusters in cut–off point of 64% similarity index. The two Italian rice cultivars ‘Ribe’ and ‘Roma’ were the closest cultivars in addition, ‘Vialone nano’ and ‘Anbarbu’ showed the highest dissimilarity. In total, high genetic divergence was observed among the cultivars also, poly (GA)–containing 3–anchored primers amplified the highest number of bands. According to similarity and cluster analysis, it could be inferred that crosses involving Anbarbu cultivar are the most promising ones to improve rice through breeding programs. In fact, results of this study would be promising as a genetic marker for the identification of rice cultivars and an important source of knowledge for subsequent rice researches.
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