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Projects / Programmes source: ARIS

Identification of defence proteins in xylem sap of Verticillium- infected hop

Research activity

Code Science Field Subfield
4.03.00  Biotechnical sciences  Plant production   

Code Science Field
B390  Biomedical sciences  Phytotechny, horticulture, crop protection, phytopathology 
Keywords
hop, hop Verticillium wilt, disease resistance genes, breeding, proteomics, genomics
Evaluation (rules)
source: COBISS
Researchers (3)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  18828  PhD Andreja Čerenak  Plant production  Researcher  2005 - 2008 
2.  05994  PhD Branka Javornik  Plant production  Researcher  2005 - 2007 
3.  20162  PhD Sebastjan Radišek  Plant production  Head  2005 - 2008 
Organisations (1)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0416  Slovenian Institute of Hop Research and Brewing  Žalec  5051762000 
Abstract
Hop wilt, caused by Verticillium albo-atrum Reinke & Berthold or V. dahliae Klebahn is one of the most important diseases of hop and it can pose a serious threat to hop production unless wilt resistant cultivars are planted in hop gardens. In 1997 an outbreak of the lethal form of hop wilt was registered in the Slovene hop growing region and, over the next six years, new outbreaks of the lethal form were detected, seriously limiting hop production in the infected areas. In order to protect hop production, an intensive breeding program is established to develop resistant cultivars suitable for Slovene growing conditions, by means of marker assisted selection. In the proposed research, we aim to develop genetic markers for wilt resistance using proteomics. We will look at the proteins generated in hop genotypes after infection with Verticillium albo-atrum pathotypes in order to identify known and novel proteins. We expect to identify and characterize defence proteins specific for the V. albo-atrum response of hop, using 2-d SDS PAGE and mass spectrometry. By means of bioinformatics tools, we will then search for the most similar/related proteins and short peptide information will provide us with enough data to identify DNA sequences (genes) responsible for the pathogen related response. Specific primer pairs will be developed for the positive sequences, inheritance of which will be tested on the Wye Target × 2/1 segregation family, and genetic markers associated to wilt resistance will be selected for application in marker assisted selection.
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