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Identifying SNP markers tightly associated with six major genes in peach [Prunus persica (L.) Batsch] using a high-density SNP array with an objective of marker-assisted selection (MAS)

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Abstract

One of the applications of genomics is to identify genetic markers linked to loci responsible for variation in phenotypic traits, which could be used in breeding programs to select individuals with favorable alleles, particularly at the seedling stage. With this aim, in the framework of the European project FruitBreedomics, we selected five main peach fruit characters and a resistance trait, controlled by major genes with Mendelian inheritance: fruit flesh color Y, fruit skin pubescence G, fruit shape S, sub-acid fruit D, stone adhesion-flesh texture F-M, and resistance to green peach aphid Rm2. They were all previously mapped in Prunus. We then selected three F1 and three F2 progenies segregating for these characters and developed genetic maps of the linkage groups including the major genes, using the single nucleotide polymorphism (SNP) genome-wide scans obtained with the International Peach SNP Consortium (IPSC) 9K SNP array v1. We identified SNPs co-segregating with the characters in all cases. Their positions were in agreement with the known positions of the major genes. The number of SNPs linked to each of these, as well as the size of the physical regions encompassing them, varied depending on the maps. As a result, the number of useful SNPs for marker-assisted selection varied accordingly. As a whole, this study establishes a sound basis for further development of MAS on these characters. Additionally, we also discussed some limitations that were observed regarding the SNP array efficiency.

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Acknowledgements

This work has been funded under the EU seventh Framework program by the FruitBreedomics project (FP7-KBBE-2010-265582): Integrated Approach for increasing breeding efficiency in fruit tree crop. The views expressed in this work are the sole responsibility of the authors and do not necessary reflect the views of the European Commission. We acknowledge Stefano Foschi and Martina Lama (CRPV, Cesena, Italy) for their help with field work.

Data archiving statement

Genetic linkage maps of the regions including major genes as well as the list of the SNPs highly associated with the major genes will be submitted to the Genome Database for Rosaceae (www.rosaceae.org).

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Author notes

  1. Igor Pacheco

    Present address: INTA, Universidad de Chile, Avenida El Lı́bano, 5524 Macul, Santiago, Chile

Authors and Affiliations

  1. GAFL, INRA, 84140, Montfavet, France

    Patrick Lambert, Jehan-Baptiste Mauroux & Thierry Pascal

  2. UMR 1332 B.P. INRA, Univ. Bordeaux, 33140, Villenave d’Ornon, France

    Jose Antonio Campoy & Elisabeth Dirlewanger

  3. Università degli Studi di Milano, DiSAA, Via Celoria 2, 20133, Milan, Italy

    Igor Pacheco, Cassia Da Silva Linge, Daniele Bassi & Laura Rossini

  4. IRTA, Centre de Recerca en Agrigenòmica CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra (Cerdanyola del Vallès), 08193, Barcelona, Spain

    Diego Micheletti, Maria Jose Aranzana & Pere Arús

  5. Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via Mach 1, 38010, San Michele all’Adige, TN, Italy

    Diego Micheletti & Michela Troggio

  6. Parco Tecnologico Padano, Via Einstein, Loc. C.na Codazza, 26900, Lodi, Italy

    Laura Rossini

  7. Research Station Agroscope, Schloss 1 Postfach, 8820, Wädenswil, Switzerland

    Andrea Patocchi

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  1. Patrick Lambert
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Correspondence to Patrick Lambert.

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Communicated by A. G. Abbott

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Lambert, P., Campoy, J.A., Pacheco, I. et al. Identifying SNP markers tightly associated with six major genes in peach [Prunus persica (L.) Batsch] using a high-density SNP array with an objective of marker-assisted selection (MAS). Tree Genetics & Genomes 12, 121 (2016). https://doi.org/10.1007/s11295-016-1080-1

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