Quantitative trait loci (QTL) and mendelian trait loci (MTL) analysis in prunus: a breeding perspective and beyond
2014
Salazar, Juan Alfonso | Ruiz, David | Campoy, José Antonio | Sánchez-Pérez, Raquel | Crisosto, Carlos H. | Martínez-García, Pedro J. | Blenda, Anna | Jung, Sook | Main, Dorrie | Martínez-Gómez, Pedro | Rubio, Manuel | Departamento de Mejora Vegetal ; Consejo Superior de Investigaciones Cientificas [España] = Spanish National Research Council [Spain] (CSIC) | 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) | University of Copenhagen = Københavns Universitet (UCPH) | University of California [Davis] (UC Davis) ; University of California (UC) | Department of Genetics and Biochemistry [Clemson] ; Clemson University | Department of Horticulture ; Washington State University (WSU) | Consejo Superior de Investigaciones Cientificas [España] = Spanish National Research Council [Spain] (CSIC)
International audience
Afficher plus [+] Moins [-]anglais. Trait loci analysis, a classic procedure in quantitative (quantitative trait loci, QTL) and qualitative (Mendelian trait loci, MTL) genetics, continues to be the most important approach in studies of gene labeling in Prunus species from the Rosaceae family. Since 2011, the number of published Prunus QTLs and MTLs has doubled. With increased genomic resources, such as whole genome sequences and high-density genotyping platforms, trait loci analysis can be more readily converted to markers that can be directly utilized in marker-assisted breeding. To provide this important resource to the community and to integrate it with other genomic, genetic, and breeding data, a global review of the QTLs and MTLs linked to agronomic traits in Prunus has been performed and the data made available in the Genome Database for Rosaceae. We describe detailed information on 760 main QTLs and MTLs linked to a total of 110 agronomic traits related to tree development, pest and disease resistance, flowering, ripening, and fruit and seed quality. Access to these trait loci enables the application of this information in the post-genomic era, characterized by the availability of a high-quality peach reference genome and new high-throughput DNA and RNA analysis technologies.
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