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
LG15_HB_617LG15_HB_617genetic_marker
LG15_HB_618LG15_HB_618genetic_marker
LG15_HB_620LG15_HB_620genetic_marker
LG15_HB_620.5LG15_HB_620.5genetic_marker
LG15_HB_621LG15_HB_621genetic_marker
LG15_HB_622LG15_HB_622genetic_marker
LG15_HB_623LG15_HB_623genetic_marker
LG15_HB_623.5LG15_HB_623.5genetic_marker
LG15_HB_624LG15_HB_624genetic_marker
LG15_HB_624.5LG15_HB_624.5genetic_marker
LG15_HB_625LG15_HB_625genetic_marker
LG15_HB_626LG15_HB_626genetic_marker
LG15_HB_626.5LG15_HB_626.5genetic_marker
LG15_HB_627LG15_HB_627genetic_marker
LG15_HB_628LG15_HB_628genetic_marker
LG15_HB_628.5LG15_HB_628.5genetic_marker
LG15_HB_629LG15_HB_629genetic_marker
LG15_HB_630.5LG15_HB_630.5genetic_marker
LG15_HB_631LG15_HB_631genetic_marker
LG15_HB_632LG15_HB_632genetic_marker
LG15_HB_633LG15_HB_633genetic_marker
LG15_HB_636LG15_HB_636genetic_marker
LG15_HB_636.5LG15_HB_636.5genetic_marker
LG15_HB_637LG15_HB_637genetic_marker
LG15_HB_638LG15_HB_638genetic_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