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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)

Authors: P. Lambert; J. A. Campoy; I. Pacheco; J. Mauroux; C. Da Silva Linge; D. Micheletti; D. Bassi; +7 Authors

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)

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. 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. Peer reviewed

Countries
Italy, Italy, Italy, France
Keywords

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, polymorphisme nucléotidique simple (SNP), 571, Mendelian character, phenotyping, carte génétique, molecular breeding, 630, qualité du fruit, qta, Genetic map, phénotypage, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, genetic map, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, génomique végétale, prunus persica, amélioration génétique, Fruit quality, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Fruit quality; Genetic map; Mendelian character; Molecular breeding; Phenotyping, fruit quality, mendelian character, Settore AGR/07 - GENETICA AGRARIA, Phenotyping, Molecular breeding, genetic mapping, sélection assistée par marqueurs

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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