Iza (Triticum monococcum ssp monococcum) buğdayının erken yaprak gelişim sürecindeki transkriptom profillerinin karşılaştırılmalı analizi

Changing climate conditions has negative effects on the growth of plants through stress effects they create. There is an increasing need for varieties that perform better performance under adverse environmental conditions. DNA / RNA marker selection has become a promising approach to accelerate breeding application. Leaf development: in particular, it directs metabolic processes via its morphology and anatomy structure, and directly affects the yield of the plant by photosynthetic activity. Bread wheat ancestor Iza (Triticum monococcum ssp. monococcum), which has a higher yield compared to bread wheat in terms of cultivation in nutrient-poor soil, will provide conserved genetic mechanisms that will help us understand the developmental process about resistant to adverse conditions. Molecular information to be obtained at this stage will help us in developing molecular markers that can be used in studies of yield increase. Our general hypothesis in the dissertation is that in Triticum monococcum ssp. monococcum species, the active genes in the developmental mechanism of the plant from juvenile stage lead to the metabolic activities of the plant in the late stages and grain yield is directly related to these genetic arrangements in the early process. The study focused on peroxisome biogenesis and metabolism genes so far. They showed varied expression patterns in comparative developmental stages in the transcriptome analysis of some creals. The study covered the analysis of the data sets that obtained from the developmental stages over 100 RNA-seq libraries. The peroxisome metabolism genes were categorized into 21 different categories to reveal their association with growth and development. Catabolism of polyamine harbored very interesting story that has not been addressed before. The expression patterns of BADH and CAT genes were verified by qRT-PCR. In addition, peroxisome fission genes were screened under drought stress. PEX11C and CAT have shown consistent upregulation under drought stress, in terms of bioinformatics and, were confirmed by qRT-PCR.