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

Publication Overview
TitleA high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species
AuthorsDi Pierro EA, Gianfranceschi L, Di Guardo M, Koehorst-van Putten HJ, Kruisselbrink JW, Longhi S, Troggio M, Bianco L, Muranty H, Pagliarani G, Tartarini S, Letschka T, Lozano Luis L, Garkava-Gustavsson L, Micheletti D, Bink MC, Voorrips RE, Aziz E, Velasco R, Laurens F, van de Weg WE
TypeJournal Article
Journal NameHorticulture Research
Volume3
Year2016
Page(s)16057
CitationDi Pierro EA, Gianfranceschi L, Di Guardo M, Koehorst-van Putten HJ, Kruisselbrink JW, Longhi S, Troggio M, Bianco L, Muranty H, Pagliarani G, Tartarini S, Letschka T, Lozano Luis L, Garkava-Gustavsson L, Micheletti D, Bink MC, Voorrips RE, Aziz E, Velasco R, Laurens F, van de Weg WE. A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species. Horticulture Research. 2016; 3:16057.

Abstract

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.
Features
This publication contains information about 3,433 features:
Feature NameUniquenameType
LG17_HB_820LG17_HB_820genetic_marker
LG17_HB_821LG17_HB_821genetic_marker
LG17_HB_822LG17_HB_822genetic_marker
LG17_HB_823LG17_HB_823genetic_marker
LG17_HB_823.1LG17_HB_823.1genetic_marker
LG17_HB_823.5LG17_HB_823.5genetic_marker
LG17_HB_823.8LG17_HB_823.8genetic_marker
LG17_HB_824LG17_HB_824genetic_marker
LG17_HB_825LG17_HB_825genetic_marker
LG17_HB_826LG17_HB_826genetic_marker
LG17_HB_826.5LG17_HB_826.5genetic_marker
LG17_HB_827LG17_HB_827genetic_marker
LG17_HB_828LG17_HB_828genetic_marker
LG17_HB_829LG17_HB_829genetic_marker
LG17_HB_830LG17_HB_830genetic_marker
LG17_HB_830.5LG17_HB_830.5genetic_marker
LG17_HB_831LG17_HB_831genetic_marker
LG17_HB_831.5LG17_HB_831.5genetic_marker
LG17_HB_835LG17_HB_835genetic_marker
LG17_HB_836LG17_HB_836genetic_marker
LG17_HB_836.5LG17_HB_836.5genetic_marker
LG17_HB_837LG17_HB_837genetic_marker
LG17_HB_838LG17_HB_838genetic_marker
LG17_HB_839LG17_HB_839genetic_marker
LG17_HB_840LG17_HB_840genetic_marker

Pages

Stocks
This publication contains information about 21 stocks:
Stock NameUniquenameType
12_B12_Bpopulation
12_E12_Epopulation
12_F12_Fpopulation
12_I12_Ipopulation
12_J12_Jpopulation
12_K12_Kpopulation
12_N12_Npopulation
12_P12_Ppopulation
DiPrDiPrpopulation
DLO.12DLO.12population
FuGaFuGapopulation
FuPiFuPipopulation
GaPiGaPipopulation
I_BBI_BBpopulation
I_CCI_CCpopulation
I_JI_Jpopulation
I_MI_Mpopulation
I_WI_Wpopulation
JoPrJoPrpopulation
PiReaPiReapopulation
TeBrTeBrpopulation