Detected Genetic Markers for Three Varieties of Rice (Oryza sativa L.) under Nano- Particles

Despite the enormous advancements in breeding, fresh and accessible methods of plant development are preferred. Many research have been done to determine the impact of zinc oxide nanoparticles (ZnO NPs) and magnesium nanoparticles (MgONPs) on plant growth. ZnO NPs and MgONPs have been used extensively in agriculture. Few research have looked into the potential impact of ZnO NPs on grain Zn content or cereal yield formation to date. The goal of the study was to demonstrate how varied concentrations of nanoparticles affected root germination in three different rice types (Giza 177, Sakha super 300, and Sakha 108) and the fungus Fusariummoniliforme, which causes foot rot in rice. Here, we performed a pot experiment to assess the effects that ZnO nanoparticles and MgONPs had on the shoot length, root length, and germination of rice. The experiment involved three dosages of Zn and Mg nanoparticle solution at varying concentrations of 10, 20, and 100 ppm. The outcomes showed that, when compared to the control treatment, ZnO NPs and MgONPs increased the length of the shoot, the length of the roots, and the rate of germination. Using random amplified polymorphic DNA (RAPD) and inter simple sequence repeats (ISSR) markers, the genetic makeup of plants treated with 10, 20, and 100 ppm AgNPs was also examined. In vitro rooted shoots were acclimated in a greenhouse before being tested for biochemical stability and phenotypic stability. In vitro, callogenesis and caulogenesis were both reduced by AgNPs at the greatest dose (100 ppm). In order to maximise genome coverage, three rice cultivars from distinct origins were chosen, and they were tested using three RAPD markers and seven selected ISSR markers. AgNPs-treated plants using ISSR markers produced 87 amplified bands in total, 45 polymorphic allelic variants, and 36 monomorphic allelic variations. The Pearson correlation coefficient was used in the Mantel test to determine whether there was a significant association between the Jaccard's dissimilarity matrices based on ISSR and RAPD markers (r = 0.69; P 0.05). Morphological characteristics, ISSR, and RAPD analysis were used to partition the UPGMA Dendrogram into two groupings. Jaccard's coefficient was used to analyse the genetic similarity matrix. Sakha Super 300 and Giza 177 had the most genetic similarity (95%) while Sakha 108 and Giza 177 had the lowest genetic similarity (90%) according to ISSR and RAPD study. The classification of rice germplasm, breeding init