Location: Crops Pathology and Genetics Research
Project Number: 2032-21220-006-10
Start Date: Sep 01, 2012
End Date: Aug 31, 2014
This detection tool targets leaves, which are more convenient samples than woody tissues, to detect the early stage of infection, before symptoms appear. To identify unique molecular signatures in the leaves that correspond to the early stage of infection in the woody tissues, we combine advanced scientific techniques (High Resolution Computed Tomography; HCRT, RNA-seq) as a new research tool for canker-diseases. An early detection tool will allow nurseries to detect infected plants, in order to prevent the spread of wood-canker diseases via contaminated nursery stock. Our approach is to identify unique plant-molecular responses in green tissues, using RNA-seq, that are associated with plant-anatomical responses in woody tissues, as visualized using light/confocal microscopy and HRCT. During the funding period, the postdoc will analyze the RNA-seq data from the inoculation experiments in the greenhouse.