Saturating the Prunus (Stone fruits) genome with candidate genes for fruit quality
Illa, Eudald | Eduardo, Iban | Audergon, Jean Marc | Barale, Francesca | Dirlewanger, Elisabeth | Xiongwei Li, - | Moing, Annick | Lambert, Patrick | Le Dantec, Loick | Zhongshan Gao, - | Poessel, Jean-Luc | Pozzi, Carlo | Rossini, Laura | Vecchietti, Alberto | Arus, Pere | Howad, Werner | Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology (IRTA) | Parco Tecnologico Padano | Génétique et Amélioration des Fruits et Légumes (GAFL) ; Institut National de la Recherche Agronomique (INRA) | Unité de recherches Espèces Fruitières et Vigne (UREFV) ; Institut National de la Recherche Agronomique (INRA) | Department of Horticulture ; Zhejiang University [Hangzhou, China] | Biologie du fruit et pathologie (BFP) ; Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1 (UB) | Università degli Studi di Milano = University of Milan (UNIMI) | This study was supported in part by the ISAFRUIT Integrated Project. The ISAFRUIT Project is funded by the European Commission under Thematic Priority 5 - Food Quality and Safety of the 6th Framework Programme of RTD (Contract No. FP6-FOOD-CT-2006-016279). Disclaimer: Opinions expressed in this publication may not be regarded as stating an official position of the European Commission. Funding from the Zhejiang University group comes from the China Natural Science Foundation (30771496). The group of IRTA is a member of the CONSOLIDER Center for Basic Genomics and Agro-food Orientation (CSD2007-00036) funded by the Spanish Ministry of Science and Innovation.
Publication Inra prise en compte dans l'analyse bibliométrique des publications scientifiques mondiales sur les Fruits, les Légumes et la Pomme de terre. Période 2000-2012. http://prodinra.inra.fr/record/256699
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Показать больше [+] Меньше [-]Английский. To identify genes involved in the expression of a trait using the candidate gene (CG) approach, the genome positions of the maximum number of genes which potentially cause the observed phenotypic variability needs to be known. This position is compared with that of major genes or quantitative trait loci (QTLs) for this character, with co-location of the CG and major gene or QTL indicating possible cause and effect situations. In the present study we selected 273 sequences from EST collections, corresponding to CGs from metabolic pathways affecting fruit growth and maturity, texture, sugar and organic acid content, aroma and color, and mapped them in the Prunus reference map (TxE) based on an interspecific almond x peach F2 population. We used the bin-mapping approach, where only eight plants: six of the TxE progeny plus one of the parents and the F1 hybrid, are used to determine the position of a marker. This strategy was very efficient, with 206 CGs mapped, based mainly on the segregation of one or more single-nucleotide polymorphisms. These CGs were located throughout the Prunus genome and are a resource for genetic analysis in stone fruit (peach, plum, apricot and cherry) and almond. Co-locations between CGs and major genes or QTLs responsible for natural variability of fruit quality characters in Prunus were identified using the available information on their positions.
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