A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species

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Di Pierro, Erica Adele | Gianfranceschi, Luca | Di Guardo, Mario | Koehors van Putten, Herma | Kruisselbrink, Johannes | Longhi, Sara | Troggio, Michela | Bianco, Luca | Muranty, Helene | Pagliarani, Giulia | Tartarini, Stefano | Letschka, Thomas | Lozano Luis, Lidia | Garkava-Gustavsson, Larisa | Micheletti, Diego | Bink, Marco | Voorrips, Roeland | Aziz, Ebrahimi | Velasco, Riccardo | Laurens, Francois | van de Weg, Eric

Edité par CCSD ; Nature Publishing Group -

International audience. Quantitative trait loci (QTL) mapping approaches rely on the correct ordering of molecular markers along the chromosomes, which can be obtained from genetic linkage maps or a reference genome sequence. For apple (Malus domestica Borkh), the genome sequence v1 and v2 could not meet this need; therefore, a novel approach was devised to develop a dense genetic linkage map, providing the most reliable marker-loci order for the highest possible number of markers. The approach was based on four strategies: (i) the use of multiple full-sib families, (ii) the reduction of missing information through the use of HaploBlocks and alternative calling procedures for single-nucleotide polymorphism (SNP) markers, (iii) the construction of a single backcross-type data set including all families, and (iv) a two-step map generation procedure based on the sequential inclusion of markers. The map comprises 15 417 SNP markers, clustered in 3 K HaploBlock markers spanning 1 267 cM, with an average distance between adjacent markers of 0.37 cM and a maximum distance of 3.29 cM. Moreover, chromosome 5 was oriented according to its homoeologous chromosome 10. This map was useful to improve the apple genome sequence, design the Axiom Apple 480 K SNP array and perform multifamily-based QTL studies. Its collinearity with the genome sequences v1 and v3 are reported. To our knowledge, this is the shortest published SNP map in apple, while including the largest number of markers, families and individuals. This result validates our methodology, proving its value for the construction of integrated linkage maps for any outbreeding species.

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