Integrated QTL detection for key breeding traits in multiple peach progenies

Publication Overview
TitleIntegrated QTL detection for key breeding traits in multiple peach progenies
AuthorsHernández Mora JR, Micheletti D, Bink M, Van de Weg E, Cantín C, Nazzicari N, Caprera A, Dettori MT, Micali S, Banchi E, Campoy JA, Dirlewanger E, Lambert P, Pascal T, Troggio M, Bassi D, Rossini L, Verde I, Quilot-Turion B, Laurens F, Arús P, Aranzana MJ
TypeJournal Article
Journal NameBMC genomics
Volume18
Issue1
Year2017
Page(s)404
CitationHernández Mora JR, Micheletti D, Bink M, Van de Weg E, Cantín C, Nazzicari N, Caprera A, Dettori MT, Micali S, Banchi E, Campoy JA, Dirlewanger E, Lambert P, Pascal T, Troggio M, Bassi D, Rossini L, Verde I, Quilot-Turion B, Laurens F, Arús P, Aranzana MJ. Integrated QTL detection for key breeding traits in multiple peach progenies. BMC genomics. 2017 Jun 06; 18(1):404.

Abstract

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.

Projects
This publication contains information about 1 projects:
Project NameDescription
Peach-breeding_traits-Aranzana-2017
Features
This publication contains information about 47 features:
Feature NameUniquenameType
red skin pigmentationqRSP.peachV2.0-LG5.2017QTL
red skin pigmentationqRSP.peachV2.0-LG6.1.2017QTL
red skin pigmentationqRSP.peachV2.0-LG6.2.2017QTL
red skin pigmentationqRSP.peachV2.0-LG6.3.2017QTL
titratable acidityqTITA.peachV2.0-LG1.2017QTL
titratable acidityqTITA.peachV2.0-LG2.2017QTL
titratable acidityqTITA.peachV2.0-LG5.2017QTL
titratable acidityqTITA.peachV2.0-LG6.1.2017QTL
titratable acidityqTITA.peachV2.0-LG6.2.2017QTL
total water soluble contentqSSC.peachV2.0-LG2.2017QTL
total water soluble contentqSSC.peachV2.0-LG4.2017QTL
total water soluble contentqSSC.peachV2.0-LG5.1.2017QTL
total water soluble contentqSSC.peachV2.0-LG5.2.2017QTL
total water soluble contentqSSC.peachV2.0-LG6.1.2017QTL
total water soluble contentqSSC.peachV2.0-LG6.2.2017QTL
fruit weightqFRW.peachV2.0-LG1.2017QTL
fruit weightqFRW.peachV2.0-LG2.2017QTL
fruit weightqFRW.peachV2.0-LG5.1.2017QTL
fruit weightqFRW.peachV2.0-LG5.2.2017QTL
fruit weightqFRW.peachV2.0-LG5.3.2017QTL
fruit weightqFRW.peachV2.0-LG6.1.2017QTL
fruit weightqFRW.peachV2.0-LG6.2.2017QTL

Pages

Featuremaps
This publication contains information about 1 maps:
Map Name
Prunus-18-peachV2.0-physical
Properties
Additional details for this publication include:
Property NameValue
Journal CountryEngland
Publication ModelElectronic
ISSN1471-2164
eISSN1471-2164
Publication Date2017 Jun 06
Journal AbbreviationBMC Genomics
DOI10.1186/s12864-017-3783-6
Elocation10.1186/s12864-017-3783-6
Publication TypeJournal Article
LanguageEnglish
Language Abbreng
Cross References
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DatabaseAccession
PMID: PubMedPMID:28583082