Objectif Rice is a main staple food providing more than 50 percent of the world’s calories intake. However, grain yield and quality are drastically reduced by the sheath blight disease (ShBD), the second most important disease. ShBD is caused by the soilborne, necrotrophic fungal pathogen, Rhizoctonia solani. No rice germplasm providing complete resistance is available, preventing improvement of cultivated rice varieties. Generally, dominant resistance genes are used to generate resistance to pathogens. However, these narrow-spectrum genes can be easily overcome by pathogens. Therefore, the best approach to acquire broad-spectrum resistance is to employ altered susceptibility genes (S genes). S genes encode susceptibility factors, facilitate pathogen infection and support compatibility. The molecular mechanisms underlying susceptibility to R. solani are largely unknown. Recently, it has been recognized that necrotrophic pathogens have a short biotrophic phase during infection. In “RiZeSisT” -Rice rhiZoctonia reSisTance- I will identify rice S genes that are essential to establish the early (biotrophic) infection of R. solani. I will exploit mutated (incompatible) S gene(s) to generate resistance to ShBD. After this project we will generate non-GMO mutants for improving elite varieties for broad-spectrum resistance to ShBD. KeyGene acts at the forefront of new technologies and traits to support the development of new and improved crops. Executing “RiZeSisT” at KeyGene, will enable me to use cutting-edge technologies, bioinformatics & data science expertise and plant-based trait platforms to discover the S genes. This is an innovative strategy that has not been used for this pathosystem. Furthermore, there is a high chance to translate my obtained knowledge to generate resistance to R. solani in additional relevant crops as maize, wheat, barley or soybean. The results of “RiZeSisT” will contribute to meet food security needs for our growing population. Champ scientifique natural sciencescomputer and information sciencesdata scienceagricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseedsnatural sciencesbiological sciencesmicrobiologymycologymedical and health scienceshealth sciencesnutrition Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Thème(s) MSCA-IF-2017 - Individual Fellowships Appel à propositions H2020-MSCA-IF-2017 Voir d’autres projets de cet appel Régime de financement MSCA-IF-EF-SE - Society and Enterprise panel Coordinateur KEYGENE NV Contribution nette de l'UE € 177 598,80 Adresse AGRO BUSINESS PARK 90 6700AE Wageningen Pays-Bas Voir sur la carte PME L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention. Oui Région Oost-Nederland Gelderland Veluwe Type d’activité Private for-profit entities (excluding Higher or Secondary Education Establishments) Liens Contacter l’organisation Opens in new window Site web Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 177 598,80
