Integrated QTL detection for key breeding traits in multiple peach progenies
Hernández Mora, José R. (Centre de Recerca en Agrigenòmica)
Micheletti, Diego (Fondazione Edmund Mach. Centro Ricerca e Innovazione)
Bink, Marco
Van de Weg, Eric (Wageningen UR. Plant Breeding)
Cantin, Celia M (Institut de Recerca i Tecnologia Agroalimentàries)
Nazzicari, Nelson (PTP Science Park)
Caprera, Andrea (PTP Science Park)
Dettori, Maria Teresa (Centro di Ricerca per la Frutticoltura)
Micali, Sabrina (Centro di Ricerca per la Frutticoltura)
Branchi, Elisa (Fondazione Edmund Mach. Centro Ricerca e Innovazione)
Campoy, José Antonio (Institut national de la recherche agronomique (França). Biologie du Fruit et Pathologie)
Dirlewanger, Elisabeth (Institut national de la recherche agronomique (França). Biologie du Fruit et Pathologie)
Lambert, Patrick (Institut national de la recherche agronomique (França). Génétique et Amélioration des Fruits et Légumes)
Pascal, Thierry (Institut national de la recherche agronomique (França). Génétique et Amélioration des Fruits et Légumes)
Troggio, Micheli (Fondazione Edmund Mach. Centro Ricerca e Innovazione)
Bassi, Daniele (Università degli Studi di Milano. Dipartimento di Scienze Agrarie e Ambientali)
Rossini, Laura (PTP Science Park)
Verde, Ignazio (Centro di Ricerca per la Frutticoltura)
Quilot-Turion, Bénédicte (Institut national de la recherche agronomique (França). Génétique et Amélioration des Fruits et Légumes)
Laurens, François (Institut national de la recherche agronomique (França). Institut de Recherche en Horticulture et Semences)
Arús i Gorina, Pere (Centre de Recerca en Agrigenòmica)
Aranzana, Maria José (Centre de Recerca en Agrigenòmica)

Data:	2017
Resum:	BACKGROUND: peach (Prunus persica (L. ) Batsch) is a major temperate fruit crop with an intense breeding activity. Breeding is facilitated by knowledge of the inheritance of the key traits that are often of a quantitative nature. QTLs have traditionally been studied using the phenotype of a single progeny (usually a full-sib progeny) and the correlation with a set of markers covering its genome. This approach has allowed the identification of various genes and QTLs but is limited by the small numbers of individuals used and by the narrow transect of the variability analyzed. In this article we propose the use of a multi-progeny mapping strategy that used pedigree information and Bayesian approaches that supports a more precise and complete survey of the available genetic variability. - RESULTS: seven key agronomic characters (data from 1 to 3 years) were analyzed in 18 progenies from crosses between occidental commercial genotypes and various exotic lines including accessions of other Prunus species. A total of 1467 plants from these progenies were genotyped with a 9 k SNP array. Forty-seven QTLs were identified, 22 coinciding with major genes and QTLs that have been consistently found in the same populations when studied individually and 25 were new. A substantial part of the QTLs observed (47%) would not have been detected in crosses between only commercial materials, showing the high value of exotic lines as a source of novel alleles for the commercial gene pool. Our strategy also provided estimations on the narrow sense heritability of each character, and the estimation of the QTL genotypes of each parent for the different QTLs and their breeding value. - CONCLUSIONS: the integrated strategy used provides a broader and more accurate picture of the variability available for peach breeding with the identification of many new QTLs, information on the sources of the alleles of interest and the breeding values of the potential donors of such valuable alleles. These results are first-hand information for breeders and a step forward towards the implementation of DNA-informed strategies to facilitate selection of new cultivars with improved productivity and quality.
Ajuts:	European Commission 265582 Ministerio de Economía y Competitividad AGL2015-68329-R Ministerio de Economía y Competitividad SEV-2015-0533
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	FlexQTLTM ; PBA ; Peach QTL ; Peach breeding ; Pedigre-based Analysis
Publicat a:	BMC genomics, Vol. 18 (2017) , art. 404, ISSN 1471-2164

DOI: 10.1186/s12864-017-3783-6
PMID: 28583082

15 p, 1.9 MB

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