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Projects / Programmes source: ARIS

Analysis of grapewine yellows and induced resistance to the disease using DNA microarrays

Research activity

Code Science Field Subfield
4.06.00  Biotechnical sciences  Biotechnology   

Code Science Field
T490  Technological sciences  Biotechnology 
Keywords
grapevine, grapevine yellows, recovery, plant defence mechanism, gene expression, biological control, DNA microarrays
Evaluation (metodology)
source: COBISS
Organisations (1) , Researchers (10)
0105  National Institute of Biology
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  21646  PhD Jernej Brzin  Biology  Researcher  2005 - 2006  47 
2.  08280  PhD Marina Dermastia  Biology  Researcher  2007  913 
3.  12688  PhD Kristina Gruden  Biotechnology  Head  2004 - 2007  1,041 
4.  23606  PhD Matjaž Hren  Biology  Young researcher  2004 - 2007  117 
5.  04333  PhD Maja Kovač  Biotechnology  Researcher  2004 - 2007  227 
6.  23610  PhD Nataša Mehle  Biotechnology  Researcher  2004 - 2007  599 
7.  10263  PhD Nataša Petrovič  Biotechnology  Researcher  2004 - 2006  169 
8.  05229  PhD Maja Ravnikar  Biotechnology  Researcher  2004 - 2007  1,425 
9.  27503  PhD Ana Rotter  Biotechnology  Young researcher  2007  358 
10.  03765  PhD Jana Žel  Biotechnology  Researcher  2004  644 
Abstract
Grapevine yellows (GY) are known for last 50 years. Typical symptoms are leaf rolling and discoloration of veins and laminae, uneven or total lack of lignification of canes, flower abortion or berry withering. Control of phytoplasma consists of the control of vectors and sanitation of dormant planting material with hot water treatment. Factors determining the pathogenesis of both phytoplasmas as well as factors determining resistance of grapevine plants are poorly or not at all understood. DNA microarray technology is the method of choice for such experiments as it enables screening of few thousand genes in one experiment. We will study grapevine - Flavescence Doree / Bois Noire interaction as a model. For our experiments microarrays consisting of 320 oligonucleotides will be used. Gene expression will be followed in different stages of growth in leaves and roots of healthy, infected and recovered plants. Obtained data will be organised into suitable database and analysed. Selected genes with characteristic expression pattern obtained by microarray analysis will be chosen for further analysis by quantitative real-time PCR. The obtained knowledge will be used for development of more efficient strategies for biological control of grapevine yellows disease.
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