Saturating the Prunus (Stone fruits) genome with candidate genes for fruit quality
ILLA, Eudald
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
EDUARDO, Iban
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Parco Tecnologico Padano
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Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Parco Tecnologico Padano
ILLA, Eudald
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
EDUARDO, Iban
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Parco Tecnologico Padano
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Parco Tecnologico Padano
ROSSINI, Laura
Parco Tecnologico Padano
Università degli Studi di Milano = University of Milan [UNIMI]
Parco Tecnologico Padano
Università degli Studi di Milano = University of Milan [UNIMI]
ARUS, Pere
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
HOWAD, Werner
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
< Reduce
Institut de Recerca i Tecnologia Agroalimentàries = Institute of Agrifood Research and Technology [IRTA]
Language
en
Article de revue
This item was published in
Molecular Breeding. 2011, vol. 28, n° 4, p. 667-682
Springer Verlag
English Abstract
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 ...Read more >
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.Read less <
Keywords
est collection
cartographie genetique
plant sciences
English Keywords
candidate gene
bin mapping
snp variability
prunus reference map
genetics and heredity
agronomy
horticulture
Origin
Hal importedCollections