Genetically modified organisms are entering the human diet in all over the world. In order to have transparency in the foods that are being consumed, there is a need to trace the genetically modified organisms (GMOs) in the market and consequently this need brings the necessity of analytical methods that are capable of detecting, identifying and quantifying the transgenic events. These analytical methods also form the basis of the labeling regulations that are tried to be formed regarding GMOs. The main aim of this study is to develop and apply the detection methods for the two of the tomato events, delayed ripening and insect resistant. Currently the only validated detection methods are mainly for the corn, soybean, and cotton. There is no validated detection method for tomato. Tomato is one of the most consumed food products in Turkey and it is also among the controversial organisms in terms of genetic modifications and labeling, therefore the analysis of the genetic modifications in tomato is crucial. In this study, DNA-based detection is performed, with PCR being the chosen method of study. In order to detect the GMO-derived DNA, the method of analysis includes the following studies: species-specific, screening, gene-specific, construct-specific and inverse PCR. In addition, the quantification method is developed using the real-time PCR. In order to develop the procedure of identification method, the reference samples are used and the unknown varieties that are to be analyzed using this method are expected to have similarities with the authorized transgenic events.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/3/12611991/index.pdf |
| Date | 01 May 2010 |
| Creators | Uygun, Sahra |
| Contributors | Gurakan, G.candan |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
Page generated in 0.0022 seconds