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Tree Genetics & Genomes (2006) 2: 202–224DOI 10.1007/s11295-006-0045-1
ORIGINAL PAPER
E. Silfverberg-Dilworth . C. L. Matasci .W. E. Van de Weg . M. P. W. Van Kaauwen .M. Walser . L. P. Kodde . V. Soglio . L. Gianfranceschi .C. E. Durel . F. Costa . T. Yamamoto . B. Koller .C. Gessler . A. Patocchi
Microsatellite markers spanning the apple (Malus x domesticaBorkh.) genomeReceived: 19 December 2005 / Revised: 27 April 2006 / Accepted: 18 May 2006 / Published online: 9 August 2006# Springer-Verlag 2006
Abstract A new set of 148 apple microsatellite markershas been developed and mapped on the apple referencelinkage map Fiesta x Discovery. One-hundred andseventeen markers were developed from genomic
libraries enriched with the repeats GA, GT, AAG,AAC and ATC; 31 were developed from EST sequences.Markers derived from sequences containing dinucleotiderepeats were generally more polymorphic than sequencescontaining trinucleotide repeats. Additional eight SSRsfrom published apple, pear, and Sorbus torminalis SSRs,whose position on the apple genome was unknown, havealso been mapped. The transferability of SSRs acrossMaloideae species resulted in being efficient with 41%of the markers successfully transferred. For all 156SSRs, the primer sequences, repeat type, map position,and quality of the amplification products are reported.Also presented are allele sizes, ranges, and number ofSSRs found in a set of nine cultivars. All thisinformation and those of the previous CH-SSR seriescan be searched at the apple SSR database (http://www.hidras.unimi.it) to which updates and comments can beadded. A large number of apple ESTs containing SSRrepeats are available and should be used for thedevelopment of new apple SSRs. The apple SSRdatabase is also meant to become an internationalplatform for coordinating this effort. The increasedcoverage of the apple genome with SSRs allowed theselection of a set of 86 reliable, highly polymorphic, andoverall the apple genome well-scattered SSRs. TheseSSRs cover about 85% of the genome with an averagedistance of one marker per 15 cM.
Keywords SSR . Genetic mapping .Simple sequence repeat
Introduction
In the last few years, apple genetics has made significantprogresses, partly due to the increasing availability ofmulti-allelic SSR markers. These markers proved to beextremely useful for integrating mapping results fromindependent studies and in the development of innovativeprocedures for assessing marker–gene associations. Theirhigh level of transferability, general high level of poly-
E. Silfverberg-Dilworth and C. L. Matasci contributed equally tothis work.
E. Silfverberg-Dilworth . C. L. Matasci . M. Walser .C. Gessler . A. PatocchiPlant Pathology,Institute of Integrative Biology (IBZ), ETH Zurich,CH-8092 Zurich, Switzerland
W. E. Van de Weg . M. P. W. Van Kaauwen . L. P. KoddeDepartment of Biodiversity and Breeding,Plant Research International,P.O. Box 16, 6700 AA Wageningen, The Netherlands
V. Soglio . L. GianfranceschiDepartment of Biomolecular Sciences and Biotechnology,University of Milan,Via Celoria 26,20133 Milan, Italy
C. E. DurelGenetics and Horticulture (GenHort),National Institute for Agronomical Research (INRA),BP 60057, 49071 Beaucouzé Cedex, France
F. CostaDepartment of Fruit Tree and Woody Plant Sciences,University of Bologna,40127 Bologna, Italy
T. YamamotoNational Institute of Fruit Tree Science,Tsukuba Ibaraki 305-8605, Japan
B. KollerEcogenics GmbH,Wagistrasse 23,CH-8952 Zurich-Schlieren, Switzerland
A. Patocchi (*)LFW C16,Universitätstrasse 2,CH-8092 Zürich, Switzerlande-mail: [email protected]
morphism, and the relative ease by which they aregenerated, being PCR-based, makes them the marker ofchoice for alignments among linkage maps of apple. As aresult, recent maps have been based on a backbone ofmulti-allelic SSR markers embedded in RAPD and/orAFLP markers, which can be produced in large amounts ina relatively short time (Liebhard et al. 2002, 2003b; Kenisand Keulemans 2005). Alignments can be made for theidentification and orientation of corresponding homolo-gous linkage groups as well as for relative positions ofspecific loci.
SSR markers are, therefore, extremely valuable forbuilding integrated genetic maps comprising genes,confidence intervals of QTLs, and other loci gatheredfrom multiple maps. SSR-based maps have been essentialfor identification and positional comparison of major genesand QTLs for scab, powdery mildew, and fire blightresistance (Durel et al. 2000, 2003; Evans and James 2003;Liebhard et al. 2003c; Calenge et al. 2004; Gygax et al.2004; James et al. 2004; Patocchi et al. 2004; Tartarini et al.2004; Vinatzer et al. 2004; Calenge et al. 2005; Calengeand Durel 2005; Khan et al. 2006) as well as morphologicalor physiological traits (Conner et al. 1998; King et al. 2000;Liebhard et al. 2003a; Costa et al. 2005). Recognition ofSSR associations led to the identification of clusters ofresistance genes (e.g., Bus et al. 2004) and to the firstintegrated map of apple that reviews many papers withregard to the location of scab resistance genes (Durel et al.2004). The recent discovery of many new gene–SSRmarker associations, made necessary a new update of thisintegrated map with recently mapped scab resistance genes(Bus et al. 2005a,b; Patocchi et al. 2005), thus continuouslyimproving our understanding of the organization of theapple genome.
Technically, SSR markers are highly suitable for directgenotyping of any new individual, being easily transfer-able, multi-allelic, and having a known map position. Theyare also the most cost effective marker for directedgenome-wide genotyping approaches, as with knownmap positions only a relatively low number of well-selected markers have to be tested to obtain a goodcoverage. The possibility of multiplexing several SSRmarkers in the same PCR reaction allows an additionalreduction of the costs of genotyping.
A good coverage of the apple genome with SSR markersis the prerequisite for two innovative techniques forassessment of molecular-marker trait associations. Firstly,the Genome Scanning Approach (GSA, Patocchi andGessler 2003) allows efficient mapping of major genes.This procedure was successfully applied to map the applescab resistance genes Vr2, Vm (Patocchi et al. 2004;Patocchi et al. 2005), and Vb (Erdin et al. 2006). Secondly,the Pedigree Genotyping concept was developed (Van deWeg et al. 2004), which allows the exploitation of breedingmaterial in the assessment of marker–trait associations andin allele mining by using multiple pedigreed plantpopulations, which can be any combination of crosses,cultivars, and breeding lines. This concept makes use ofdirected genotyping and the so-called Identity By Descent
(IBD) concept. It forms the base of the EU-HiDRASproject (Gianfranceschi and Soglio 2004) aimed at a proofof concept for Pedigree Genotyping and at the identifica-tion of molecular markers for fruit quality and diseaseresistance.
The major disadvantage in the use of SSR markers is theconsiderable initial investment needed to develop and mapthem. Although around 160 SSRs have been developed forthe apple (Guilford et al. 1997; Gianfranceschi et al. 1998;Hokanson et al. 1998; Liebhard et al. 2002; Hemmat et al.2003; Vinatzer et al. 2004), their distribution within thegenome is not homogenous. Almost all linkage groupscontain regions with large gaps between two successiveSSRs (Liebhard et al. 2003b). The development of newSSRs may solve this problem. Thus far, the most widelyused method to produce SSRs is based on the cloning andsequencing of genomic fragments enriched for a repeatedsequence and the designing of upstream and downstreamprimers (Tenzer et al. 1999; Gautschi et al. 2000).Additionally, some new SSR markers have been obtainedby selecting the transferable SSR markers from closelyrelated species (Yamamoto et al. 2004).
Recently, apple genomic projects have made thou-sands of apple EST sequences available, which can nowbe searched for SSR repeats and used for the develop-ment of new SSR markers (Crowhurst et al. 2005;Korban et al. 2005). This approach has severaladvantages: 1) no enriched genomic library has to beconstructed; 2) extensive sequencing is not necessary, thusreducing the cost of the development of the SSRmarkers; 3)it is possible to develop SSRmarkers for which it is difficultto construct enriched libraries (e.g., AT repeats), and last butnot least, 4) markers are developed from coding sequences.
In this paper, we present a new, extensive set of appleSSRs, developed within the framework of the HiDRASEuropean project (Gianfranceschi and Soglio 2004), fromgenomic libraries, publicly available EST sequences, andSSR markers of other species closely related to Malus. Allthese SSRs are also tested for their level of polymorphismand are positioned on a molecular marker linkage map.These SSRs, together with those already published, havebeen used to select a set of 86 highly polymorph SSRswell-scattered on the apple genome.
Materials and methods
Plant material and DNA extraction
Cultivars Elstar, Golden Delicious, and Florina were usedto construct the SSR libraries. A series of nine diploidcultivars (Fiesta, Discovery, Florina, Nova Easygro, TN10-8, Durello di Forlì, Prima, Mondial Gala, and Fuji) wasused to estimate the level of polymorphism of the newmarkers. Forty-four progeny plants of the Fiesta ×Discovery cross, which is a subset of the 251 plantsused by Liebhard et al. (2003b) to generate “the referencemap”, were used to map the new SSRs. Three othermapping populations, Discovery × TN10-8 (149 plants),
203
Durello di Forlì × Fiesta (subset of 60 plants), or Fuji ×Mondial Gala (subset of 60 plants), were used to map theSSRs that could not be mapped in the cross Fiesta ×Discovery. DNA was extracted according to Koller et al.(2000), gel quantified and diluted to 1 ng/μl.
SSR development
Genomic libraries
SSR-enriched libraries from Elstar were developed at PlantResearch International. The procedure for microsatelliteenrichment by selective hybridization was modified fromKaragyozov et al. (1993) by Van de Wiel et al. (1999) andVan der Schoot et al. (2000). DNAwas digested with TaqIand size-fractionated by agarose gel electrophoresis. Frag-ments between 300 and 1,000 bp were recovered byelectro-elution, enriched by hybridization to five oligonu-cleotides (GA, GT, ATC, AAG, ACC), ligated in pGEM-T(Promega) or pCRII-TOPO (Invitrogen) and transformedto competent TOP10 F’ (Invitrogen). Colonies weretransferred onto Hybond N+ membranes and hybridizedwith the appropriately labeled oligonucleotides. Positiveclones were sequenced with the primers Sp6 and T7 byGreenomics™ (Wageningen, the Netherlands). The en-riched libraries of Golden Delicious (ATC) and Florina(AAG and AAC) were developed by Ecogenics GmbH(Zürich, Switzerland) from size-selected digested (MboIfor AAG and AAC libraries and Tsp509I for the ATClibrary) genomic DNA ligated to adaptors and enriched bymagnetic bead selection with biotin-labeled correspondingoligonucleotide repeats (Gautschi et al. 2000). DNAfragments were PCR-amplified with the correspondingprimer (Table 1). The PCR products of the ATC librarywere cloned into the vector Topo® (Invitrogen) andtransformed in the TOP10 F’ competent cells (Invitrogen),while the AAC and AAG libraries were cloned in thevector pDrive (Qiagen) and transformed in the EZ cells(Qiagen). Recombinant cells were spotted over nylonmembranes and hybridized with the corresponding SSRrepeat. Positive clones were sequenced with the primerM13 reverse by Synergene Biotech GmbH (Zürich,Switzerland).
SSRs from publicly available ESTs
Malus sequences from the NCBI database (September2003) (http://www.ncbi.nlm.nih.gov/) were examined formicrosatellite repeats using the software Tandem RepeatFinder v 3.21 (Benson 1999). From these ESTs, a subset ofsequences was selected that contained microsatelliterepeats and in which the repeat was sufficiently far fromthe edge of the sequence to allow design of both forwardand reverse PCR primers.
SSRs from the literature
Eight apple SSRs with unknownmap position (GD12, -15,-96, -100, -103, -142, -147, and -162; Hokanson et al.1998) have been tested for polymorphism with andbetween Fiesta and Discovery as well as with the parentsof the other mapping populations available. Polymorphicmarkers were screened over a segregating mappingpopulation and mapped. In addition, the following 17SSRs from a map of pear (Yamamoto et al. 2004) wereexamined: NB102a, NB106a, NB111a, NH020a, NH023a,NH029a, NH025a, NB113a, KA4b, BGT23b, HGA8b,NH002b, NH009b, NH004a, NH015a, NH033b, andMSS6 (Yamamoto et al. 2002a–c; Oddou-Muratorio etal. 2001). This SSRs were selected because they map atpositions for which the homologous regions of the applegenome lacked or had only a few SSRs. After verificationthat they generated amplicons in apple, they were mappedin the Fiesta × Discovery population using a range ofannealing temperatures.
Primer design and PCR conditions
Primer pairs flanking the SSR sequence were designedwith the program Primer3 (Rozen and Skaletsky 2000)publicly available at http://fokker.wi.mit.edu/primer3/. Theideal annealing temperature (Tm) of the primers was set at60°C. Some primers were pig-tailed (Brownstein et al.1996), whereby a variable number of nucleotides wasadded to the 5′ end of the reverse primer to obtain thesequence GTTT. Primers were synthesized at Microsynth(Balgach, Switzerland). PCR amplification and tests ofprimers were performed, as described by Gianfranceschi etal. (1998), with the following modifications: the PCR
Table 1 Restriction enzymes, adaptor sequences, and primers used for the construction of the AAG, AAC, and ATC SSR libraries
Library Restr.enzyme
Adaptor (seq1) Adaptor seq 2 (rev complementary of seq1) PCR primer
AAG MboI SAULA: 5′GCGGTACCCGGGAAGCTTGG3′ SAULB: 5′GATCCCAAGCTTCCCGGGTACCGC3′ SAULAAAC MboI SAULA: 5′GCGGTACCCGGGAAGCTTGG3′ SAULB: 5′GATCCCAAGCTTCCCGGGTACCGC3′ SAULAATC Tsp509I TSPAdShort
5′TCGGAATTCTGGACTCAGTGCCAATT3′TSPAdLong5′AATTGGCACTGAGTCCAGAATTCCGA3′
TSPAdShort
204
volume was reduced in some cases from 15 to 10 μl;0.07 U/μl reaction of Taq polymerase (New EnglandBioLabs) was used, and the amplification profile wassimplified to an initial denaturation at 94°C for 2 min 30 sfollowed by 35 cycles of 94°C for 30 s, 60°C for 30 s, 72°Cfor 1 min, both for regular (preliminary test of the primers)and with 33P-labeled forward primers. Before loading,radiolabeled PCR products were denatured by the additionof one volume of denaturing gel-loading buffer (Sambrooket al. 1989) and heating at 94°C for 5 min.
SSR alleles were analyzed by running 33P-labeled PCRproducts on a 6% denaturing sequencing gel (NationalDiagnostic, Atlanta, USA) in 1×TBE buffer using a IBI STS-45i DNA sequencing unit. Data scoring was performed, asdescribed by Liebhard et al. (2002), by comparison of theallele size of the nine cultivars with the 33P-labeled sizestandard 30–330 bp (Invitrogen).
Nomenclature for SSR markers
SSR markers developed from enriched genomic librarieswere prefixed with ‘Hi’ (indicating the HiDRAS project,Gianfranceschi and Soglio 2004) followed by a combina-tion of two two-digit numbers, separated by a lower-caseletter. The first two-digit number indicates the number ofthe sequencing plate, the letter and and second two-digitnumber indicate the well of this plate from which the DNAsequence was obtained. SSR markers developed from ESTsequences were designated with the GenBank accessionnumber followed by the subscript “SSR”. Names of theSSRs from the literature were not changed.
Marker quality
The new SSR markers were divided into four qualityclasses based on the type and number of additional,non-SSR containing amplicons that appeared on thegels: (1) clean: no extra band, (2) complementary band(s): all additional bands are complementary; this is at aconstant distance to (specific) SSR bands, (3) extrabands: non-complementary bands are present thatmay hamper multiplexing, (4) dirty: many additional,non-complementary bands that hamper scoring of thetrue SSR bands, not suitable for use in multiplexreactions.
Genetic mapping
The segregation data for the 44 progeny plants genotypedwith the new markers were added to the data previouslyused to develop the “reference maps” of Fiesta andDiscovery (Liebhard et al. 2003b). As these referencemaps were based on 251 progeny plants, missing data wereassigned to the 207 progeny plants not analyzed with thenew SSRs. Mapping of the SSRs was performed withJoinMap™ version 2.0 (Stam and Van Ooijen 1995) in
connection with JMDesk 3.6 provided by Dr. B. Koller(Ecogenics GmbH, Switzerland). A LOD score of 5 wasused to assign markers to linkage groups. Mapping of theSSRs was considered correct (also third-round maps) if theintroduction of the new data did not change, or onlyslightly changed, distances between markers or ordersamong the flanking markers. Drawings of the linkage mapswere generated with MapChart (Voorrips 2001). Some SSRmarkers, which showed no polymorphism in the Fiesta ×Discovery progeny could be mapped in other crosses. Oneof the following three crosses was used in such cases:Discovery × TN10-8, Durello di Forlì × Fiesta, or Fuji ×Mondial Gala, and the map position was estimated bymanual alignment.
Results
One hundred and forty-eight new SSR markers have beendeveloped and mapped, 117 from genomic libraries (65from dinucleotide repeat libraries, 52 from trinucleotiderepeat libraries) and 31 from Malus sequences fromGenBank (24 containing dinucleotide repeats and sevenwith larger repeats). Moreover, it was possible to determinethe location of previously published SSRs of apple (GD147), pear (HGA8b, KA4b, NB102a, NH009b, NH029a,and NH033b) and of a Sorbus torminalis SSR (MSS6). Forall 156 SSRs details of the forward and reverse primers,nucleotides added to the reverse primer to build a pigtail,repeat sequence, repeat type, size-range, number of allelesfor the set of nine cultivars (polymorphism level), mapposition (linkage group), and the quality of the markers ispresented (Table 2). For the EST sequences used to developEST-SSRs, their deduced functions and origins (tissues)have also been indicated (Table 3).
In addition, the allele composition of nine cultivars hasbeen determined to allow the estimation of the level ofpolymorphism of the marker (Table 4). However, in thepresence of only a single allele, it usually remained unclearwhether this was due to the presence of an allele at thehomozygous state or to the presence of one amplified alleleand a null allele (Table 4). These two options could bedistinguished for Fiesta and Discovery based on thesegregation patterns in the mapping population. For othercultivars, this has still to be clarified and so a single valuehas been entered (Table 4). For some SSRs, mainlycontaining trinucleotide repeats, it was not always possibleto distinguish SSR amplicons from other PCR products dueto lack of stutter bands. In such cases, the size of allamplicons is reported in Table 4. This may have led to anoverestimation of the level of polymorphism of these SSRs.
Efficiency of SSR development
The repeat type of the new SSR sequences (2 nt or more)greatly affected the success of development of polymor-phic markers that could be mapped. Sixty-one to sixty-three percent of 2-nt repeats and only 33–40% of the SSRs
205
Tab
le2
Nam
es,p
rimers,pigtailsequence,repeattype,repeatsequence,rang
eandnu
mberof
allelesfoun
din
nine
diploidcultivars,typ
eof
marker,map
positio
nandqu
ality
ofthenewset
ofSSR
markers
developed
SSR
name
Forwardprim
erReverse
prim
erPigtail
seqa
Repeat
type
bRepeat
seq
Allele
rang
eNo.
ofalleles
Type
ofmarkerc
LG
(s)
Qualityd
Hi01a03
CGAATGAAATGTCTA
AACAGGC
AAGCTA
CAGGCTTGTTGATA
ACG
–Perf
AAG
168–19
33
SL
10Clean
Hi01a08
AAGTCCAATCGCACTCACG
CGTA
GCTCTCTCCCGATA
CG
–Com
pAAG-G
A17
7–17
72
SL
16Clean
Hi01b
01GCTA
CAGGCTTGTTGATA
ACGC
ACGAATGAAATGTCTA
AACAGGC
–Perf
AAG
153–18
95
SL
10Com
pl.b
Hi01c04
GCTGCCGTTGACGTTA
GAG
GTTTGTA
GAAGTGGCGTTTGAGG
GTT
Imp
GA
214–23
24
SL
5Com
pl.b
Hi01c06
TTA
GCCCGTA
TTTGGACCAG
GTTTCACCTA
CACACACGCATGG
GTTT
Imp
GT
128–14
43
PML
15Extra
band
sHi01c09
AAAGGCGAGGGATA
AGAAGC
GTTTGCACATTTGAGCTGTCAAGC
GTTT
Perf
GA
214–21
83
SL
14Clean
Hi01c11
TTGGGCCACTTCACAACAG
GTTTGAGTTTGATCTCCAACATTA
CGTTT
Imp
GT
138–26
017
ML
8/16
Clean
Hi01d
01CTGAAATGGAAGGCTTGGAG
GTTTA
CCAATTA
GGACTTA
AAGCTG
GTTT
Com
pGA-G
T19
1–22
25
PML
9Extra
band
sHi01d
05GGTA
TCCTCTTCATCGCCTG
TTA
GATTGACGTTCCGACCC
–Im
pGA
210–>330
16PML
7Extra
band
sHi01d
06GGAGAGTTCCTGGGTTCCAC
AAGTGCACCCACACCCTTA
C–
Imp
GA
115–
165
11ML
11/16
Extra
band
sHi01e10
TGGGCTTGTTTA
GTGTGTCAG
GTTTGGCTA
GTGATGGTGGAGGTG
GTTT
Perf
GA
126–22
48
SL
4Com
pl.b
Hi02a03
GACATGTGGTA
GAACTCATCG
GTTTA
GTGCGATTCATTTCCAAGG
GTTT
Perf
GA
168–19
89
PML
5Extra
band
sHi02a07
TTGAAGCTA
GCATTTGCCTGT
TAGATTGCCCAAAGACTGGG
–Im
pGA
254–31
24
SL
2Extra
band
sHi02a09
ATCTCTA
AGGGCAGGCAGAC
CTGACTCTTTGGGAAGGGC
–Im
pGA
138–15
84
SL
11Clean
Hi02b
07TGTGAGCCTCTCCTA
TTGGG
TGGCAGTCATCTA
ACCTCCC
–Im
pGA
204–21
64
SL
12Clean
Hi02b
10TGTCTCAAGAACACAGCTATCACC
GTTTCTTGGAGGCAGTA
GTGCAG
GTT
Perf
GA
200–25
48
PML
16Clean
Hi02c06
AGCAAGCGGTTGGAGAGA
GTTTGCAACAGGTGGACTTGCTCT
GTTT
Perf
GA
208–25
28
SL
11Clean
Hi02c07
AGAGCTA
CGGGGATCCAAAT
GTTTA
AGCATCCCGATTGAAAGG
GTT
Perf
GA
108–15
05
PML
1Clean
Hi02d
02TTCCTA
GGCTA
CCCGAAATA
TG
GTTTCTGGCATGGACATTCAACC
GTTT
Com
pGA-G
T15
2–19
45
SL
15Clean
Hi02d
04TGCTGAGTTGGCTA
GAAGAGC
GTTTA
AGTTCGCCAACATCGTCTC
GTTT
Perf
GA
224–25
010
SL
10Clean
Hi02d
05GAGGGAGAATCGGTGCATA
GCATCCCTCAGACCCTCATTG
–Perf
GA
153–20
57
SL
12Extra
band
sHi02d
11GCAATGTTGTGGGTGACAAG
GTTTGCAGAATCAAAACCAAGCAAG
GTTT
Imp
GA
198–26
28
SL
14Extra
band
sHi02f06
TAAATA
CGAGTGCCTCGGTG
GCAGTTGAAGCTGGGATTG
GTTT
Perf
GA
204–22
86
SL
15Clean
Hi02f12
ACATGGCCGAAGACAATGAC
GTTTCAACCTTTA
TCCCTCCATCTTTC
GTTT
Perf
GA
130–15
06
SL
17Clean
Hi02g
06AGATA
GGTTTCACCGTCTCAGC
GACCTCTTTGGTGCGTCTG
–Com
pGA-CAC
149–16
34
SL
15Clean
Hi02h
08GCCACTCATA
CCCATCGTA
TTG
GTTTGGCTGGGAATA
TATGATCAGGTG
GTTT
Com
pGT-GA
170–20
06
SL
16Clean
Hi03a03
ACACTTCCGGATTTCTGCTC
GTTTGTTGCTGTTGGATTA
TGCC
GTT
Perf
GA
160–22
810
PML
6Clean
Hi03a06
TGGTGAGAGAAGGTGACAGG
GTTTA
AGGCCGGGATTA
TTA
GTCG
GTTT
Imp
GA
158–19
75
PML
15Dirty
Hi03a10
GGACCTGCTTCCCCTTA
TTC
GTTTCAGGGAACTTGTTTGATGG
GT
Imp
GA
206–29
06
SL
7Clean
Hi03b
03TGAATTGAGTTTGAGAATGGAATG
GTTTGTCAGGACGGGTA
ATCAAGG
GTTT
Perf
GA
196–21
27
SL
12Clean
Hi03c04
CGTA
AATA
GCGAATCCGATA
CC
GTTTCAACATCTGTGGGTCATTGC
GTTT
Perf
GA
169–25
76
SL
10Clean
Hi03c05
GAAGAGAGAGGCCATGATA
CGTTTA
ACTGAAACTTCAATCTA
GG
GTT
Imp
GA
179–22
18
SL
17Clean
Hi03d
06TCATGGATCATTTCGGCTA
AGTTTGCCAATTTTA
TCCAGGTTGC
GTTT
Perf
GA
115–
169
8SL
3Clean
Hi03e03
ACGGGTGAGACTCCTTGTTG
GTTTA
ACAGCGGGAGATCAAGAAC
GTTT
Perf
GA
187–19
96
SL
3Clean
Hi03e04
CTTCACACCGTTTGGACCTC
GTTTCATA
TCCCACCACCACAGAAG
GTTT
Imp
GA
132–16
06
SL
13Clean
Hi03f06
ACGATTTGGTGATCCGATTC
GTTTCGTCGCATTGTGCTTCAC
GTTT
Perf
GA
153–21
79
PML
10Extra
band
sHi03g
06TGCCAATA
CTCCCTCATTTA
CC
GTTTA
AACAGAACTGCACCACATCC
GTTT
Perf
GA
182–20
45
SL
15Clean
Hi04a02
TTCGTGGAAACCTA
ATTGCAG
GTTTCCTCTGCTTCTTCATCTTTGC
GTTT
Perf
GA
82–104
6SL
13Clean
206
SSR
name
Forwardprim
erReverse
prim
erPigtail
seqa
Repeat
type
bRepeat
seq
Allele
rang
eNo.
ofalleles
Type
ofmarkerc
LG
(s)
Qualityd
Hi04a05
GGCAGCAGGGATGTA
TTCTG
GTTTCATGTCAAATCCGATCATCAC
GTTT
Perf
GA
194–22
28
SL
9Clean
Hi04a08
TTGAAGGAGTTTCCGGTTTG
GTTTCACTCTGTGCTGGATTA
TGC
GTT
Perf
GA
211–
250
7SL
5Clean
Hi04b
12CCCAAACTCCCAACAAAGC
GTTTGAGCAGAGGTTGCTGTTGC
GTTT
Perf
GA
140–15
65
SL
8Clean
Hi04c05
AGGATGCTCTGCCTGTCTTC
GTTTCTCACTCGCCTGCTCTA
TCC
GTTT
Perf
GA
179–18
33
SL
15Clean
Hi04c10
TGCGCATTTGATA
GAGAGAGAA
GTTTA
ACAAAGAACGACCCACCTG
GTTT
Perf
GA
172–23
811
ML
3/4
Dirty
Hi04d
02TTCGTGGCTGAGAAAGGAGT
GTTTGTA
CGGTGCATTGTGAAAG
GT
Perf
GA
176–23
815
PML
5Extra
band
sHi04d
10AAATTCCCACTCCTCCCTGT
GTTTGAGACGGATTGGGGTA
GG
Perf
GA
164–18
24
SL
6Extra
band
sHi04e04
GACCACGAAGCGCTGTTAAG
GTTTCGGTA
ATTCCTTCCATCTTG
GTT
Perf
GA
216–24
66
SL
16Clean
Hi04e05
AAGGGTGTTTGCGGAGTTAG
GGTGCGCTGTCTTCCATA
AA
–Perf
GA
144–14
42
SL
8Clean
Hi04f08
CGTGAAAACTCTA
ACTCTCC
GTTTGAAAAGCGCATCAAAGTTCC
GTTT
Perf
GA
218–22
64
SL
10Clean
Hi04f09
ACTGGGTGGCTTGATTTGAG
GTTTCAACTCACACCCTCTA
CATGC
GTTT
Imp
GA
222–26
011
PML
13Com
pl.b
Hi04g
05CTGAAACAGGAAACCAATGC
GTTTCGTA
GAAGCATCGTTGCAG
GTT
Perf
GA
190–25
89
PML
13Clean
Hi04g
11CAGAGGATTA
TCAATTGGACGC
AAACTA
TCTCCAGTTA
TCCTGCTTC
–Perf
GA
118–
164
5SL
11Clean
Hi05b
02GATGCGGTTTGACTTGCTTC
GTTTCTCCAGCTCCCATA
GATTGC
GTTT
Perf
GA
120–17
87
PML
10Clean
Hi05b
09AAACCCAACCCAAAGAGTGG
GTTTCTA
ACGTGCGCCTA
ACGTG
GTTT
Perf
GA
136–14
43
SL
7Clean
Hi05c06
TGCGTGTA
TGGTTGGTTTTG
TGTTTTCTTTGGTTTTA
GTTGGTG
–Com
pGA-G
T13
6–14
25
PML
17Dirty
Hi05d
10AATGGGTGGTTTGGGCTTA
GTTTCTTTGGCTA
TTA
GGCCTGC
GTT
Imp
GT
212–21
22
SL
6Dirty
Hi05e07
CCCAAGTCCCTA
TCCCTCTC
GTTTA
TGGTGATGGTGTGAACGTG
GTTT
Perf
GT
214–23
47
SL
9Extra
band
sHi05f12
TTTGGGTTTGGGTA
GGTTA
GG
GTTTGTGCAGCGCATGCTA
ATG
GTTT
Com
pTA
-CA
157–17
75
ML
12/3
Dirty
Hi05g
12TCTCTA
GCATCCATTGCTTCTG
GTTTGTGTGTTCTCTCATCGGATTC
GTTT
Imp
GT
208–28
810
PML
2Extra
band
sHi06b
06GGTGGGATTGTGGTTA
CTGG
GTTTCATCGTCGGCAAGAACTA
GAG
GTTT
Imp
GT
236–26
24
SL
11Extra
band
sHi06f09
AACCAAGGAACCCACATCAG
GTTTCACTTA
CACACGCACACACG
GTTT
Imp
GT
272–28
84
PML
15Dirty
Hi07b
02ATTTGGGGTTTCAACAATGG
GTTTCGGACATCAAACAAATGTGC
GTTT
Imp
GT
212–21
85
PML
4Clean
Hi07b
06AGCTGCAGGTA
GAGTTCCAAG
GTTTCATTA
CCATTA
CACGTA
CAGC
GTTT
Imp
GT
220–22
64
SL
6Clean
Hi07d
08TGACATGCTTTTA
GAGGTGGAC
GTTTGAGGGGTGTCCGTA
CAAG
GT
Perf
CA
222–23
23
SL
1Extra
band
sHi07d
11CCTTA
GGGCCTTTGTGGTA
AG
GTTTGAGCCGATTA
GGGTTTA
GGG
GTTT
Imp
GT
200–23
411
ML
11/16
Clean
Hi07d
12GGAATGAGGGAGAAGGAAGTG
GTTTCCTCTTCACGTGGGATGTA
CC
GTTT
Imp
GT
184–25
08
ML
2/7
Clean
Hi07e08
TTCGTGCTA
GGGAGTTGTA
GC
GTTTGCCTCCATA
GGATTA
TTTGAC
GTT
Perf
GT
208–24
19
ML
8/3
Clean
Hi07f01
GGAGGGCTTTA
GTTGGGAAC
GTTTGAGCTCCACTTCCAACTCC
GTT
Com
pAT-GT
204–22
05
SL
12Extra
band
sHi07g
10TA
TTGGGTTTTGGGTTTGGA
GTTTCAACCCTTTTGGTTGTGAGG
GTTT
Imp
GT
126–12
83
PML
11Dirty
Hi07h
02CAAATTGGCAACTGGGTCTG
GTTTA
GGTGGAGGTGAAGGGATG
GTT
Perf
GT
246–27
610
SL
17Clean
Hi08a04
TTGTCCTTCTGTGGTTGCAG
GTTTGAAGGTA
AGGGCATTGTGG
GTT
Com
pGAA-G
T24
6–25
44
SL
5Extra
band
sHi08c05
TCATA
TAGCCGACCCCACTTA
GGTTTCACACTCCAAGATTGCATA
CG
GTTT
Perf
AAC
230–24
03
PML
14Extra
band
sHi08d
09AACGGCTTCTTGTCAACACC
GTTTA
CTGCATCCCTTA
CCACCAC
GTTT
Perf
AAC
183–18
62
SL
16Clean
Hi08e04
GCATGGTGGCCTTTCTA
AG
GTTTA
CCCTCTGACTCAACCCAAC
GTTT
Perf
AAG
201–23
46
PML
4Extra
band
sHi08e06
GCAATGGCGTTCTA
GGATTC
GTTTGGCTGCTTGGAGATGTG
GT
Perf
AAC
134–13
84
SL
13Extra
band
sHi08f05
GTGTGGGCGATTCTA
ACTGC
GTTTCCTTTA
TTCTA
AACATGC
CACGTC
GTTT
Perf
AAG
165–16
52
SL
2Clean
Tab
le2(con
tinued)
207
SSR
name
Forwardprim
erReverse
prim
erPigtail
seqa
Repeat
type
bRepeat
seq
Allele
rang
eNo.
ofalleles
Typ
eof
markerc
LG
(s)
Qualityd
Hi08f06
CTTA
GAGCATA
GATGACCTGCAA
GTTTA
GAAATCCAACGGCCAAAG
GTT
Perf
AAG
224–24
25
SL
13Com
pl.b
Hi08f12
GGTTTGTA
ACCCGTCTCTCG
GTTTCGTA
GCTCTCTCCCGATA
CG
GTTT
Com
pAAG-G
A116–22
07
SL
16Extra
band
sHi08g
03ATTCACTTCCACCGCCATA
GGTTTGGAATGATTGCGAGTGAAGC
GTTT
Imp
AAG
104–116
3PML
6Clean
Hi08g
06AATCGAACCAGCACAGGAAG
GTTTA
GATGGAGGTCGTGGTTA
CG
GTTT
Imp
AAG
192–19
82
SL
10Clean
Hi08g
12AGTTCGGTCGGTTCCGTA
AT
GTTTA
GGGCAAGGGGAAAGAAGT
GTTT
Perf
AAG
188–19
74
SL
2Com
pl.b
Hi08h
03GCAATGGCGTTCTA
GGATTC
GGTGGTGAACCCTTA
ATTGG
–Im
pAAC
155–15
82
SL
4Dirty
Hi08h
08TGAACAAATTCCACCACGAA
GTTTGCCAAGGCTA
CAATTTTCA
GTT
Perf
AAC
236–24
23
SL
5Clean
Hi08h
12GAAGGAAATCATCATCAAGACG
GTTTCAAGACCATGGAACAACTTGG
GTTT
Perf
AAG
151–20
36
PML
10Clean
Hi09a01
GAAGCAACCACCAGAAGAGC
GTTTCCCATTCGCTGGTA
CTTGAG
GTTT
Perf
AAG
183–19
27
SL
11Clean
Hi09b
04GCGATGACCAATCTCTGAAAC
TGGGCTTGAATTGGTGAATC
–Im
pAAG
227–27
85
SL
5Clean
Hi09f01
CACCACCAAATTCTCCATCTTC
GTTTA
CCGCCAAATGCTTTGTTA
CGTTT
Imp
AAG
257–26
64
SL
15Clean
Hi11a01
ACCGCCAAATGCTTTGTTA
CGTTTCCTCCATTA
AACTCCTCAGTG
GT
Imp
AAG
214–22
33
SL
15Extra
band
sHi11a03
GGAATTGGAGCTTGATGCAG
GTTTCATA
CGGAATGGCAAATCG
GTTT
Perf
GA
141–14
42
SL
5Com
pl.b
Hi12a02
GCAAGTCGTA
GGGTGAAGCTC
GTTTA
GTA
TGTTCCCTCGGTGACG
GTTT
Imp
AAG
249–25
52
SL
16Clean
Hi12c02
GCAATGGCGTTCTA
GGATTC
GTTTCACCAACAGCTGGGACAAG
GTTT
Imp
AAG
169–19
04
SL
1Extra
band
sHi12f04
ATTGTCCCCACAAAATTGGA
GGGCACACGAGAAAGGATA
A–
Perf
AAC
184–18
72
SL
7Clean
Hi15a13
TTCTCCCCTTCTA
AACCAACC
GGTTTCTTGGCGTA
ACATTG
–Perf
CT
220–23
43
SL
16Clean
Hi15b
02TA
TGGTGGCAACAGTGGAGA
GTTTCGCCACCTCCACTTA
ACATC
GTTT
Imp
GGT
196–20
24
SL
3Com
pl.b
Hi15c07
TCACTTCCCATCATCACTGC
GTTTCAATGTCGAGGCTGGTAATG
GTTT
Perf
ACC
204–21
02
SL
15Clean
Hi15e04
AAACCTCTGCATTCCGTCTC
CTCATA
CTCCTCCCACATTGTC
–Com
pATC-G
AA
209–21
22
SL
5Clean
Hi15g
11TGACATGCATA
GGGTTA
CATGC
GTTTGGGTTCGTA
ATCGTTCTTGTG
GTTT
Perf
ATC
160–16
32
SL
16Clean
Hi15h
12GAACAAGAAGGACGCGAATC
GTTTGGGCCTCGTTA
TCACTA
CCA
GTTT
Perf
ATC
222–22
83
SL
3Clean
Hi16d
02AACCCAACTGCCTCCTTTTC
GTTTCGACATGATCTGCCTTG
GPerf
ATC
144–17
75
SL
11Clean
Hi20b
03AAACTGCAATCCACAACTGC
GTTTA
GTTGCTA
ATGGCGTGTCG
GTT
Imp
AAC
220–24
44
SL
8Clean
Hi21c08
TTCTTCTCCTCCACCACCTC
GTTTGTCACTGAGAAGGCGGTAGC
GTTT
Perf
AAG
227–23
02
SL
5Clean
Hi21e04
TGGAAACCTGTTGTGGGATT
TGCAGAGCGGATGTA
AGTTG
–Im
pAAG
134–16
18
PML
14Clean
Hi21f08
GAGAAAACGCAGAAGCATTG
AGTA
ATGATTTCATCGCGAGTC
–Im
pGAAAA
234–28
210
PML
10Clean
Hi21g
05GACGAGCTCAAGAAGCGAAC
GTTTGCTCTTGCCATTTTCTTTCG
GTTT
Imp
AAG
155–16
43
ML
1/15
Clean
Hi22a07
CTCTTCCTTCTCCGCCTCTT
GTTTCACTCAGAATGCCTCACAGC
GTTT
Imp
AAG
153–20
27
PML
5/10
Clean
Hi22d
06CCCCGAGCTCTA
CCTCAAA
CATTA
TGTTTCCGGTTTTTGG
–Im
pAAC
126–13
54
SL
2Clean
Hi22f04
TCAATCCTCTGCTCTTCAAGG
GTTTA
ATCACCTGCTGCTGCTTG
GTTT
Perf
AAG
135–14
74
SL
10Clean
Hi22f06
CAATGGCGTCTGTGTCACTC
GTTTA
CGACGGGTA
AGGTGATGTC
GTTT
Perf
AAG
240–24
63
SL
16Clean
Hi22f12
GGCCTCACCCAGTCTACATT
GTTTGGTGTGATGGGGTA
CTTTGC
GTTT
Imp
AAG
205–21
74
SL
5Clean
Hi22g
06GAAAGGACCGAATTTCATGC
GTTTGTCTA
CAACTGTCTGATGGTA
GC
GTT
Imp
AAG
240–24
92
SL
8Extra
band
sHi23b
12TGAGCGCAATGACGTTTTA
GGTTTCAGGCTTTCCCTTCAGTGTC
GTT
Perf
AAC
142–16
93
SL
14Extra
band
sHi23d
02CCGGCATA
TCAAAGTCTTCC
GTTTGATGGTCTGAGGCAATGGAG
GTTT
Imp
AAG
157–16
63
SL
11Extra
band
sHi23d
06TTGAAACCCGTA
CATTCAACTC
GTTTCAAGAACCGTGCGAAATG
GTT
Perf
AAC
158–18
85
SL
9Com
pl.b
Hi23d
11b
GACAGCCAGAAGAACCCAAC
GTTTA
TTGGTCCATTTCCCAGGAG
GTTT
Perf
CTT
177–18
44
PML
4Clean
Tab
le2(con
tinued)
208
SSR
name
Forwardprim
erReverse
prim
erPigtail
seqa
Repeat
type
bRepeat
seq
Allele
rang
eNo.
ofalleles
Type
ofmarkerc
LG
(s)
Qualityd
Hi23g
02TTTTCCAGGATA
TACTA
CCCTTCC
GTTTCTTCGAGGTCAGGGTTTG
GT
Perf
AAC
230–25
76
SL
4Com
pl.b
Hi23g
08AGCCGTTTCCCTCCGTTT
GTTTGTGGATGAGAAGCACAGTCA
GTT
Perf
CTT
211–
220
3SL
4Clean
Hi23g
12CCCTTCCCTA
CCAAATGGAC
GTTTA
AAGGGGCCCACAAAGTG
GTTT
Com
pCAA-A
GC-
CCA
223–24
14
PML
8Clean
Hi24f04
CCGACGGCTCAAAGACAAC
TGAAAAGTGAAGGGAATGGAAG
–Im
pAAG
144–15
35
SL
2Clean
AF05
7134
SSR
ACTA
CCCAATGCCCACAAAG
TATCCTCGCCCAAAAGACTG
–Perf
GA
202–22
47
SL
10Com
pl.b
AF52
7800
SSR
TGGAAAGGGTTGATTGACCT
AACAGCGGGTGGTA
AATCTC
–Perf
GA
168–19
45
SL
17Com
pl.b
AJ000761a
SSRe
CTGGGTGGATGCTTTGACTT
TCAATGACATTA
ATTCAACTTA
CAAAA
–Im
pTA
260–27
25
SL
14Clean
AJ000
761b
SSR
CCCTA
AACACACAGCCTCCT
GTTTCAGCATCGCAGAGAACTGAG
GTTT
Perf
GA
210–20
88
SL
14Clean
AJ001
681 S
SR
CCTGAGGTTA
TTGACCCAAAA
CACTCAGTTGGAAAACCCTA
CA
–Perf
GA
169–19
56
SL
17Clean
AJ251116 S
SR
GATCAGAAAATTGCTA
GGAAAAGG
AGAGAACGGTGAGCTCCTGA
–Perf
GA
165–16
72
SL
2Com
pl.b
AJ320
188 S
SR
AACGATGCTTGAGGAAGAACA
GCTTA
ACAGAAACATCGCTGA
–Perf
GA
191–24
58
SL
9Clean
AT00
0174
SSR
CGGAGGCCGCTA
TAATTA
GG
CCTGGAAAGAAAGTA
AAAGGACA
–Com
pTA
-GTA
-GT
178–20
06
PML
17Extra
band
sAT00
0400
SSR
CTCCCTTTGCTCCCTCTCTT
AGGATGTCAGGGTTGTA
CGG
–Im
pCAG
198–23
27
SL
2Extra
band
sAT00
0420
SSR
TTGGACCAATTA
TCTCTGCTA
TT
GATGTGGTCAGGGAGAGGAG
–Im
pGA
189–20
95
SL
4Extra
band
sAU22
3486
SSR
TGACTCCATGGTTTCAGACG
AGCAATTCCTCCTCCTCCTC
–Com
pGAA-G
A20
5–21
73
SL
13Extra
band
sAU22
3548
SSR
ACCACCACTGCAGAGACTCA
GACGCACCCATTCATCTTTT
–Perf
GGA
262–27
84
SL
10Extra
band
sAU22
3657
SSR
TTCTCCGTCCCCTTCAACTA
CACCTTGAGGCCTCTGTA
GC
–Im
pGA
219–23
36
SL
3Clean
AU22
3670
SSR
GGACTCAATGCCTTTTCTGG
AGGATGGCAGCAATCTTGAA
–Perf
ACC
194–20
23
PML
5Extra
band
sAU30
1431
SSR
TCTTCCTCCTCCTCCTCCTC
TCTTTTTCTTGGGGTCTTGG
–Perf
AAG
213–21
62
SL
16Extra
band
sAY18
7627
SSR
GAGGACTGAATTGGTTGAGGTC
GTTTCTCACCCGTA
TATA
GGCCAAC
GTTT
Com
pGT-TA
300–30
02
SL
17Clean
CN44
4542
SSR
ATA
AGCCAGGCCACCAAATC
GTTTGCAGTGGATTGATGTTCC
GT
Perf
GA
110–
156
8PML
9Clean
CN44
4636
SSR
CACCACTTGAGTA
ATCGTA
AGAGC
GTTTGCCAGTTA
AGGACCACAAGG
GTTT
Com
pAT-GT
239–24
33
SL
2Clean
CN44
4794
SSR
CATGGCAGGTGCTA
AACTTG
GTTTGCAACTCACACAATGCAAC
GTT
Perf
TA23
0–30
68
PML
7Extra
band
sCN44
5290
SSR
TCTCAGTTGCTCTGGCTTTG
GTTTGCAATCAATGCCACTCTTC
GTT
Perf
GA
230–24
23
SL
6Clean
CN44
5599
SSR
TCAAATGGGTTCGATCTTCAC
GTTTGCCTGGCTGTA
ACTGTTTGG
GTTT
Perf
TA13
0–17
611
PML
5Extra
band
sCN49
1050
SSR
CGCTGATGCGATA
ATCAATG
GTTTCACCCACAGAATCACCAGA
GTT
Perf
GA
>33
0–>33
03
SL
11Clean
CN49
3139
SSR
CACGACCTCCAAACCTA
TGC
GTTTA
TGAAAGTA
CGGCACCCATC
GTTT
Perf
TA12
4–16
210
PML
2Clean
CN49
6002
SSR
TCAGAATCTCAAGCAAGATCCTC
GTTTGATTGATCGTGGCGATA
TG
GTT
Com
pTA
-CTT
243–26
14
SL
5Clean
CN49
6913
SSR
TGCCTTTGAGAATCGAAATG
TGTTTGTCAATTTCTTGGAACTC
–Perf
TA23
6–27
85
SL
12Clean
CN58
1493
SSR
GCTTTTCATGGTGGAAAAACTG
GTTTGACTCTCCGCTCTGATGGAC
GTTT
Perf
TA18
4–22
88
SL
2Clean
U78
948 S
SR
GATCGTCCGCCACCTTA
AT
AGGGTTTTCATCATGCACATT
–Im
pTA
178–19
07
SL
14Extra
band
sU78
949 S
SR
TTTGTCTA
CCTCTGATCTTA
ACCAA
CAGCATCGCAGAGAACTGAG
–Perf
GA
172–22
512
ML
6/14
Extra
band
sZ38
126 S
SR
AAGAGGGTGTTCCCAGATCC
TGTTCGATGTGACTTCAATGC
–Perf
TA21
4–24
03
SL
7Clean
Z71
980 S
SR
TCTTTCTCTGAAGCTCTCATCTTTC
GGACATGGATGAAGAATTGGA
–Im
pTA
170–17
22
SL
8Clean
Z71
981 S
SR
GCACTTA
CCTTTGTTGGGTCA
CCGGCATTCCAAATGTA
ACT
–Perf
AAG
212–23
25
SL
15Clean
GD14
7TCCCGCCATTTCTCTGC
GTTTA
AACCGCTGCTGCTGAAC
GTTT
uGA
135–15
56
SL
13Dirty
Tab
le2(con
tinued)
209
with 3-nt repeats (or more) could be mapped (Table 5). Theorigin of the sequence (enriched library or GenBankaccession) did not affect the success rate (Table 5). Therepeat type similarly affected the observed allelic diversityof the markers, being highest for the 2-nt repeats (Table 5).However, if the average number of repeats found in thesequence used for the development of the SSRs isconsidered, it can be affirmed that the higher allelicvariation observed for the 2-nt containing SSRs is probablydue to the higher number of repeats. In fact, sequencesfrom 2-nt repeats genomic libraries and ESTs contain onaverage 28 and 14 repeats, respectively, while 3-nt repeatgenomic libraries and ESTs contain nine and six repeats,respectively (Table 5).
A relatively high number of SSRs (41%) developed forpear and Sorbus torminalis were transferred to the apple.Surprisingly, only one out of eight previously publishedapple SSRs (GD series) could be mapped (Table 5).
To be efficiently used in genotyping projects, SSRs needto be sufficiently polymorphic and easy to score. If thethreshold to declare a single-locus SSR as sufficientlypolymorphic within our current set of nine cultivars is set atfive alleles, 62% of the 2-nt repeat SSRs and 24% ≥3-ntrepeat SSRs can be considered (Table 6). The two mostpolymorphic single-locus SSRs were Hi02d04 andHi07h02, both being 2-nt repeat SSR with ten alleles inthe set of nine cultivars.
Approximately 58 and 10% of the new SSRs have beenclassified as being “clean” or showing “complementarybands” (amplification of amplicons at a constant distancefrom the SSR allele), respectively. On the other hand, 26and 6% of the new markers have been classified as “extrabands” or “dirty”, respectively. Under our PCR conditions,these SSRs amplify several additional non-SSR amplifica-tion products, which make them unsuitable for high-throughput genotyping. The SSR amplicons of the markersclassified as “extra bands” are clearly visible, while thoseof class “dirty”may be difficult to recognize. Improvementof these SSRs by the design and testing of alternativeprimers was not pursued unless they are shown to belocated in regions of high interest in which no other, highquality SSRs are located.
Genetic mapping
One hundred and forty-eight SSRs out of 156 have beenmapped on the reference map derived from the crossFiesta × Discovery (Liebhard et al. 2003b). The remainingeight were mapped in other crosses: four in Discovery ×TN10-8 (Hi23b12, Hi01c09, Hi09f01, Hi08f05), three inDurello di Forlì × Fiesta (Hi03c05, Hi08d09, Z71980SSR)and one in Fuji × Mondial Gala (Hi11a01) (Fig. 1).
The 156 new SSR primer pairs enriched the referencemap with 168 new loci (12 primer pairs amplified two locithat could both be mapped). The linkage groups (LGs) withhighest increase in loci are LG 16 with 16 loci and LGs 10and 5 with 14 loci each, followed by LGs 2, 11, and 15 with13 loci each. The LG with the lowest increase of loci is LGS
SR
name
Forwardprim
erReverse
prim
erPigtail
seqa
Repeat
type
bRepeat
seq
Allele
rang
eNo.
ofalleles
Type
ofmarkerc
LG
(s)
Qualityd
HGA8b
AACAAGCAAAGGCAGAACAA
CATA
GAGAAAGCAAAGCAAA
(Tm
55°C
)–
Com
pGA-G
CTTT
133–16
46
ML
3/11
Dirty
KA4b
AAAGGTCTCTCTCACTGTCT
CCTCAGCCCAACTCAAAGCC
(Tm
55°C
)–
Imp
GT
137–14
13
SL
1Com
pl.b
NB10
2aTGTTA
TCACCTGAGCTA
CTGCC
CTTCCTCTTTA
TTTGCCGTCTT
–Perf
GA
181–18
33
PML
16Extra
band
sNH00
9bCCGAGCACTA
CCATTGA
CGTCTGTTTA
CCGCTTCT
–Perf
GA
138–16
26
SL
13Extra
band
sNH02
9aGAAGAAAACCAGAGCAGGGCA
CCTCCCGTCTCCCACCATA
TTA
G(Tm
55°C
)–
Perf
GA
91–99
5SL
9Com
pl.b
NH03
3bGTCTGAAACAAAAAGCATCGCAA
CTGCCTCGTCTTCCTCCTTA
TCTCC
–Perf
GA
163–18
97
SL
2Clean
MSS6
CGAAACTCAAAAACGAAATCAA
ACGGGAGAGAAACTCAAGACC
–u
GT
273–27
93
SL
4Extra
band
sa N
ucleotides
addedto
theprim
erto
create
apigtail(Brownstein
etal.19
96)
bPerfect
(Perf),im
perfect(Imp),compo
und(Com
p)(W
eber
1990)
c Singlelocus(SL):foreach
sample,amaxim
umof
only
twoallelesisam
plifiedandthemarkerhasbeen
mappedto
asing
lelocus;multilocus
(ML):morethan
twoallelesforeach
sample
isam
plifiedandtheallelesam
plifiedwith
themarkerhave
been
mappedto
twodifferentloci;presum
edmultilocus
(PML):morethan
thetwoallelespresentor
presence
ofotherband
ssimilarto
SSR
alleles,thesecond
locuswas
notmapped(not
polymorph
),dClean:n
oextraband
s;complem
entary
band
(s)(Com
pl.b
.):the
only
extraband
(s)visibleareataconstant
distance
from
theSSRallele;E
xtra
band
s:theSSRallelesareclearlyvisiblebu
totheram
plicons(few
ormany)
arepresent;multip
lexing
may
bedifficult;Dirty:manynonSSR-likeam
pliconsvisible,
scoringof
theSSR
difficult;multip
lexing
notadvised
e For
thisEST,
twopairsof
prim
ershave
been
developed,
AJ000
761a
andb
Tab
le2(con
tinued)
210
1 with only five new loci. The largest distances betweentwo flanking SSRs are on Discovery 6 (36.2 cM) and Fiesta7 (37.5 cM). The maps of Fiesta and Discovery have beenenriched by 99 and 115 loci, respectively (54 loci incommon). The maps now span a total of 1,145.3 cM(Fiesta) and 1,417.1 cM (Discovery). This corresponds toan increase of 1.5 cM for the map of Fiesta and a decreaseof 37.5 cM for the map of Discovery compared with themaps of Liebhard et al. (2003b). Most of the reduction ofthe total length of the map of Discovery is due to thesplitting of its LG3 (reduction of 10 cM). Also, the averagechromosome lengths of Fiesta and Discovery did notchange substantially, being 67.4 cM (previously 67.4 cM)and 83.35 cM (previously 85.6 cM), respectively. The factthat no substantial changes in the total length of the
parental maps are observed is an indication that the genomecoverage is close to completion.
Selection of a genome covering set of apple SSRs
To facilitate efficient genome-wide mapping approaches,we aimed at developing a set of 100 SSRs that cover theentire apple genome. The high number of mapped SSRs inFiesta × Discovery as well as in various other availablemapping populations (data not shown) allowed the firstdesign of such a set. Eighty-six SSRs were selected thatspan around 85% of the apple genome and that have anaverage distance between markers of 15 cM (Fig. 2).Regrettably, SSRs for 16 regions are not yet available. Out
Table 3 Description and putative functions of the mapped ESTs as found at NCBI GenBank
SSR namea Definition
AF057134-SSR Malus domestica NADP-dependent sorbitol 6-phosphate dehydrogenase (S6PDH) gene, complete cdsAF527800-SSR Malus x domestica expansin 3 (EXP03) mRNA, complete cdsAJ000761a,b-SSR Malus domestica mRNA for MADS-box protein, MADS7AJ001681-SSR Malus domestica mRNA for MADS box protein MdMADS8AJ251116-SSR Malus domestica mRNA for B-type MADS box protein (mads13 gene)AJ320188-SSR Malus domestica mRNA for MADS box protein (MADS12A gene)AT000174-SSR AT000174 Apple young fruit cDNA library Malus x domestica cDNA clone af180, mRNA sequenceAT000400-SSR AT000400 Apple peel cDNA library Malus x domestica cDNA clone ap189, mRNA sequenceAT000420-SSR AT000420 Apple peel cDNA library Malus x domestica cDNA clone ap212, mRNA sequenceAU223486-SSR AU223486 Apple shoot cDNA library Malus x domestica cDNA clone S0016, mRNA sequenceAU223548-SSR AU223548 Apple shoot cDNA library Malus x domestica cDNA clone S0279, mRNA sequenceAU223657-SSR AU223657 Apple shoot cDNA library Malus x domestica cDNA clone S0159, mRNA sequenceAU223670-SSR AU223670 Apple shoot cDNA library Malus x domestica cDNA clone S0086, mRNA sequenceAU301431-SSR AU301431 Apple shoot cDNA library Malus x domestica cDNA clone S1069, mRNA sequenceAY187627-SSR Malus x domestica S-RNase (S) gene, S9 allele, partial cdsCN444542-SSR Mdfw2003g22.x1 Mdfw Malus x domestica cDNA clone Mdfw2003g22 3-similar to TR:Q9SSL1 Q9SSL1 F15H11.6
Hypothetical protein At1g70810CN444636-SSR Mdfw2003l01.x1 Mdfw Malus x domestica cDNA clone Mdfw2003l01 3-similar to TR:O81077 O81077 PUTATIVE
CYTOCHROME P450, mRNA sequenceCN444794-SSR Mdfw2001i05.y1 Mdfw Malus x domestica cDNA clone Mdfw2001i05 5-, mRNA sequenceCN445290-SSR Mdfw2002h21.y1 Mdfw Malus x domestica cDNA clone Mdfw2002h21 5-, mRNA sequenceCN445599-SSR Mdfw2003f11.y1 Mdfw Malus x domestica cDNA clone Mdfw2003f11 5-similar to TR:O81062 O81062 T18E12.21
Hypothetical protein At2g03120CN491050-SSR Mdfw2008p11.y1 Mdfw Malus x domestica cDNA clone Mdfw2008p11 5-, mRNA sequenceCN493139-SSR Mdfw2012f06.y1 Mdfw Malus x domestica cDNA clone Mdfw2012f06 5-similar to TR:O81808 O81808
HYPOTHETICAL 62.6 KD PROTEIN, mRNA sequenceCN496002-SSR Mdfw2021d09.y1 Mdfw Malus x domestica cDNA clone Mdfw2021d09 5-similar to TR:O23131 O23131
HYPOTHETICAL 37.1 KD PROTEIN, mRNA sequenceCN496913-SSR Mdfw2023a24.y1 Mdfw Malus x domestica cDNA clone Mdfw2023a24 5-, mRNA sequenceCN581493-SSR Mdfw2039o14.y1 MdfwMalus x domestica cDNA clone Mdfw2039o14 5-similar to TR:Q9ZQF5 Q9ZQF5 PUTATIVE
RING-H2 FINGER PROTEIN, mRNA sequenceU78948-SSR Malus domestica MADS-box protein 2 mRNA, complete cdsU78949-SSR Malus domestica MADS-box protein 3 mRNA, complete cdsZ38126-SSR M. domestica gene for calmodulin-binding protein kinaseZ71980-SSR M. domestica mRNA for knotted1-like homeobox proteinZ71981-SSR M. domestica partial gene for kn1-like proteinaThe first part of the SSR name corresponds to sequence accession number
211
Tab
le4
Allele
compo
sitio
nof
nine
diploidcultivars
SSR
name
Fiesta
Discovery
Florina
Nov
aEasaygro
TN10
-8Durello
diForlì
Prima
Mon
dial
Gala
Fuji
Hi01a03
168:19
317
8:19
316
8nd
193nd
193nd
nd19
3nd
Hi01a08
null
177:nu
llnu
llnu
llnu
ll17
7nu
ll17
7nu
llHi01b
0116
5:18
917
4:18
916
516
215
315
318
916
218
915
316
218
9nd
Hi01c04
218:22
222
2:23
221
821
423
221
421
821
421
822
221
8nd
ndHi01c06
142:14
212
8:14
2nd
128
142
12814
214
414
214
2Hi01c09
216:21
821
6:21
821
621
821
621
621
421
621
621
621
821
621
8Hi01c11
216:22
0x26
0:26
0a
13820
0nu
ll:nu
lla23
4:24
0y
13820
413
815
220
220
622
013
814
615
220
622
013
814
414
620
423
424
013
814
820
020
424
013
814
817
622
013814415221613
814
815
221
8Hi01d
0119
9:22
019
5:22
019
922
019
519
119
519
522
219
119
519
9nd
Hi01d
0532
0:>33
0a
21024
232
0:nu
ll21
022
224
430
0>33
0b
21022
2>33
0a/b
21222
624
2>33
0a/b
210>33
0b
21024
231
821
022
232
8212222242300
320>330c/d
21024
232
2>33
0a/b
Hi01d
0612
5:13
312
4:13
115
516
313
516
513
713
713
713
112
411515
512
915
5Hi01e10
220:22
021
4:12
622
022
422
420
420
818
220
820
421
222
4nd
Hi02a03
176:18
617
8:18
617
017
616
817
019
818
418
817
617
418
617
618
6Hi02a07
254:28
228
0:28
031
231
225
431
228
028
028
028
2Hi02a09
138
138:15
815
813
813
815
813
815
213
814
8nd
Hi02b
0721
4:nu
llnu
ll21
621
620
421
6nd
20421
620
4nd
Hi02b
1022
8:22
8a20
2:20
2a22
6:nu
ll20
0:20
0a20
022
620
022
420
022
622
624
020
020
222
622
422
625
420
222
422
6Hi02c06
230:24
423
0:24
225
220
824
224
225
223
222
724
221
224
2nd
Hi02c07
116:15
015
0:15
0116118
114118
116118
116
108118
116
ndHi02d
02nu
ll:nu
ll15
2:nu
llnd
15419
415
619
415
219
4nd
ndHi02d
0421
8:25
022
6:24
623
423
024
023
425
022
423
224
024
422
4nd
Hi02d
0515
3:19
715
3:20
515
320
515
317
515
317
515
317
315
317
515
319
119
520
5Hi02d
1123
4:24
424
4:19
823
425
825
425
826
224
419
825
419
824
625
824
826
2Hi02f06
216:22
420
8:21
421
622
820
821
420
422
821
421
620
822
821
622
8nd
Hi02f12
130:13
214
0:14
013
415
013
213
015
013
815
0nd
13215
0nd
Hi02g
0616
1:16
116
1:16
316
116
116
116
314
915
516
116
116
316
116
116
3Hi02h
0817
2:17
217
0:17
817
217
217
217
420
017
218
017
217
2Hi03a03
188:19
222
417
2:19
622
422
816
022
816
022
422
816
017
222
818
619
421
822
818
619
421
822
8nd
nd
Hi03a06
158:16
017
819
715
8:19
716
017
819
716
017
819
715
816
019
7nd
16017
818
319
715
819
7nd
Hi03a10
216:24
021
6:28
421
624
021
629
0nd
20622
6nd
ndnd
Hi03b
0321
0:21
220
4:21
020
621
020
020
620
021
019
620
820
021
021
221
0Hi03c04
169:nu
llnu
ll16
920
120
117
520
125
720
120
116
920
1Hi03c05
205:22
120
5:22
117
919
519
119
321
520
9nd
ndnd
Hi03d
06117:117
143:16
913
314
314
311714
511514
7117
117
ndHi03e03
193:19
919
3:19
719
918
919
919
319
918
919
818
719
919
9nd
Hi03e04
148:16
013
2:14
813
213
215
014
614
616
013
416
015
016
013
2
212
SSR
name
Fiesta
Discovery
Florina
Nov
aEasaygro
TN10
-8Durello
diForlì
Prima
Mon
dial
Gala
Fuji
Hi03f06
153:17
715
3:17
915
316
117
915
3211
15321
715
317
620
521115
3211
15317
721
2nd
Hi03g
0619
8:20
018
2:19
818
219
618
219
618
2nd
204
19620
419
6Hi04a02
82:102
90:104
102
102
8810
010
288
102
8210
210
2Hi04a05
194:20
419
4:19
819
420
420
422
219
820
819
420
221
022
219
420
421
6nd
ndHi04a08
226:24
621
6:25
021
621
821
221
621
221
621
221
621
221
621
622
6nd
Hi04b
1215
0:15
614
0:15
615
614
215
615
015
614
615
015
614
215
614
215
6Hi04c05
181:18
118
3:18
118
118
118
118
118
317
918
317
918
318
1Hi04c10
230:nu
llx20
6:20
6y
176
228:23
8x20
0:20
6y20
623
420
623
420
423
417
217
220
223
417
820
223
417
220
223
4
Hi04d
0220
8:22
223
8:nu
ll18
019
417
618
220
418
219
020
419
019
822
218
620
421
421
819
020
421
417
619
222
218
620
421
822
2Hi04d
1016
4:16
4nu
ll16
418
218
016
416
418
2nd
16418
0Hi04e04
226:24
622
2:22
822
824
621
624
621
622
223
022
624
622
824
621
622
6Hi04e05
144:nu
llnu
llnu
llnu
llnd
null
null
144
null
Hi04f08
202:21
821
8:22
622
622
622
021
822
022
622
621
8Hi04f09
22224
425
423
0b22
424
422
222
425
426
022
422
625
225
822
425
622
4;25
422
422
624
426
0222224244254nd
Hi04g
05nu
ll:nu
ll23
019
0:19
423
019
425
823
225
824
025
423
023
023
023
224
8Hi04g
11nu
ll:nu
ll16
6118:nu
ll118
158
158
140
158
164
118
Hi05b
0212
6:12
612
0:12
212
617
812
217
813
416
212
014
416
217
812
212
612
617
812
613
4Hi05b
0914
0:14
413
6:13
613
613
614
413
614
013
614
014
4nd
ndHi05c06
139:13
813
6:13
613
814
113
813
814
114
114
213
813
813
913
613
8Hi05d
1021
2:nu
llnu
ll21
2nd
212
212
nd21
221
2Hi05e07
212:21
421
6:23
021
423
0nu
ll21
423
4nu
ll21
423
021
422
8Hi05f12
173:
nullx16
9:16
9y17
3:17
7X15
7:16
9y15
717
315
717
115
717
315
717
315
717
315
717
317
715
717
3Hi05g
1223
0b20
821
623
821
621
623
821
6.19
221
623
822
224
220
821
623
023
820821622022821
6
Hi06b
0624
2:26
223
6:26
226
026
026
023
626
026
026
224
226
0Hi06f09
280:28
827
2:27
428
028
827
228
827
228
827
428
828
827
228
027
228
8Hi07b
0221
4:21
821
4:nu
ll21
221
621
421
6nd
212
nd21
621
6Hi07b
0621
0:22
022
0:22
222
622
622
622
622
222
622
222
622
222
6Hi07d
0822
2:23
222
2:22
6nd
ndnd
ndnd
ndnd
Hi07d
1121
4:21
8x22
2:23
4y21
6:22
6x23
4:nu
lly
200:20
021
422
022
021
623
222
820
021
822
620
022
021
222
0
Hi07d
1224
6:nu
llx18
4:nu
lly
194:21
8x24
625
024
824
819
824
619
824
618
420
625
0Hi07e08
208:20
8x23
3:23
5y20
8:21
2x23
1:24
1y20
822
223
123
320
823
320
823
323
420
823
323
421
022
223
1nd
nd
Hi07f01
204:21
420
4:21
020
622
021
021
021
022
021
022
021
020
621
0Hi07g
1012
6:nu
ll12
8.nu
llnd
ndnd
ndnd
ndnd
Tab
le4(con
tinued)
213
SSR
name
Fiesta
Discovery
Florina
Nov
aEasaygro
TN10
-8Durello
diForlì
Prima
Mon
dial
Gala
Fuji
Hi07h
0225
6:26
427
0:27
624
625
627
625
626
826
624
827
424
826
424
626
0Hi08a04
246:25
424
6:25
024
624
824
624
825
024
625
424
625
024
625
424
625
4Hi08c05
231:23
123
1:24
023
124
023
123
424
023
124
023
123
423
123
423
123
424
023
123
424
0Hi08d
0918
318
318
618
318
318
318
6nd
nd18
318
6Hi08e04
207:21
620
1:nu
ll21
620
720
121
621
622
521
620
723
420
7Hi08e06
134:13
813
4:nu
ll13
413
413
413
413
713
413
413
813
4Hi08f05
165
165
165
nd16
515
716
5nd
ndnd
Hi08f06
227:23
022
4:24
223
023
022
422
723
023
322
723
022
723
023
0Hi08f12
131:21
8116:13
111622
011621
820
613
120
615
821
821
822
012
922
0Hi08g
03113:11610
4116:11610
410
4113116
ndnd
104113
104113
104113116
104113116
Hi08g
0619
2:19
819
2:19
219
219
819
219
819
219
219
219
8nd
192
Hi08g
1218
8:18
818
8:19
418
819
419
119
418
819
418
819
718
818
819
118
819
1Hi08h
0315
5:15
515
5:15
815
515
515
5nd
nd15
5nd
Hi08h
0823
6:23
623
6:23
923
624
223
623
624
223
623
923
623
923
623
923
6Hi08h
1215
7:20
316
3:16
916
920
315
120
315
716
315
116
920
315
117
215
717
2Hi09a01
183,18
618
6:19
218
318
618
0,18
318
3,18
618
3,19
218
3,18
618
618
3,19
2Hi09b
0423
0:22
727
8:27
824
222
726
922
724
222
724
223
024
224
226
923
024
2Hi09f01
257:26
025
7:26
626
026
025
726
025
726
625
726
626
026
0Hi11a01
214:21
721
4:21
721
721
721
721
421
721
422
321
422
321
7Hi11a03
141:14
114
1:14
414
114
114
114
414
114
414
114
114
1Hi12a02
249:25
525
5:25
524
925
524
925
524
925
524
925
525
525
525
5Hi12c02
190:17
816
9:nu
ll17
816
917
816
917
816
916
919
017
8Hi12f04
184:18
418
4:18
718
718
418
418
418
418
418
718
4Hi15a13
220:23
222
0:22
023
223
423
222
022
023
223
2Hi15b
0219
6:19
919
9:19
920
2nu
ll20
220
219
919
920
2Hi15c07
210:21
020
4:21
020
421
021
021
020
421
021
020
421
020
421
0Hi15e04
209:20
920
9:21
220
920
921
220
920
920
921
220
920
921
2Hi15g
1116
0:16
316
0:16
016
316
3nd
160
16016
316
016
316
3Hi15h
1222
2:22
222
2:22
522
222
222
222
222
822
222
522
222
522
2Hi16d
0214
4:14
414
4:14
714
416
514
414
416
514
417
714
414
414
415
3Hi20b
0322
0:23
822
0:22
9nd
ndnd
22024
422
922
024
4nd
Hi21c08
230:23
023
0:22
723
022
723
022
723
022
723
022
723
023
022
7nd
Hi21e04
134:13
414
915
615
816
113
4:13
614
915
615
816
113
413
614
915
813
614
915
615
816
113
414
915
816
113
413
814
814
915
816
113
413
614
915
816
113
613
814
915
616
113
413
814
915
616
1Hi21f08
242:24
628
028
224
2:24
223
424
425
027
228
224
224
828
028
224
224
826
628
024
225
028
024
225
028
225
026
627
228
024
424
827
228
028
224
424
828
2
Hi21g
0515
8:16
415
5:15
8:16
415
515
815
515
515
816
415
815
515
816
415
515
816
415
515
8Hi22a07
192:19
8x15
3:18
9y:
196:19
6anu
ll:nu
lla19
220
215
319
620
215
318
920
215
320
218
919
219
618
919
820
218
919
8Hi22d
0612
9:12
912
6:12
913
212
913
512
913
513
212
612
912
913
512
913
5
Tab
le4(con
tinued)
214
SSR
name
Fiesta
Discovery
Florina
Nov
aEasaygro
TN10
-8Durello
diForlì
Prima
Mon
dial
Gala
Fuji
Hi22f04
138:14
713
5:13
814
114
714
113
813
813
814
113
814
113
8Hi22f06
240:24
624
3:24
624
024
624
024
624
624
324
624
024
624
024
6Hi22f12
211:nu
ll211:21
721
421
720
521
721121
720
5211
217
Hi22g
0624
0:24
924
0:24
024
024
024
024
024
024
924
0Hi23b
1215
4:16
915
4:16
915
416
914
216
914
216
916
914
215
415
416
914
2Hi23d
0216
0:16
616
0:16
015
716
016
015
716
016
016
016
015
716
0Hi23d
0616
1:16
115
8:16
117
017
316
117
016
116
116
116
117
016
118
815
818
8Hi23d
11b
181:18
417
717
8:18
417
717
718
417
718
417
717
818
417
717
818
117
718
417
717
818
417
718
4Hi23g
0224
8:25
725
4:25
723
923
925
523
924
825
523
925
523
024
8Hi23g
0822
0:22
021
4:22
0211
21122
022
021122
021122
021
422
022
021122
0Hi23g
1222
3:22
324
122
3:22
624
122
624
122
623
524
122
322
623
524
122
322
623
524
122
322
623
524
122
323
524
122
323
524
1
Hi24f04
144:15
014
7:15
315
315
315
015
315
315
015
314
415
015
215
3AF05
7134
SSR
210:21
620
8:22
420
821
621
621
422
021
620
821
620
221
6AF52
7800
SSR
178:nu
ll16
8:18
416
816
816
816
816
819
416
817
8nd
AJ000
761a
SSR
262:26
226
2:26
626
226
426
026
226
226
426
026
626
427
2nd
ndAJ000
761b
SSR24
8:24
821
0:24
824
424
821
025
224
624
820
822
621
025
022
624
424
424
8AJ001
681 S
SR
169:19
118
9:19
116
918
716
918
718
318
919
519
116
918
9AJ251116 S
SR
165:16
716
7:16
716
716
716
716
5nd
nd16
7nd
AJ320
188 S
SR
213:nu
llnu
ll:nu
ll19
919
921
320
320
721
919
124
519
919
919
9AT00
0174
SSR
186:19
418
6:19
217
818
617
818
618
618
817
8nd
17820
018
819
417
8AT00
0400
SSR
198:21
622
621
6:21
621
022
423
221
022
423
219
821
021
622
623
221
622
421
021
623
221
622
423
221
422
4
AT00
0420
SSR
201:20
120
3:20
520
120
520
120
320
920
118
920
120
520
120
120
5AU22
3486
SSR
205:20
520
5:21
720
520
820
820
521
720
520
820
520
820
520
820
8AU22
3548
SSR
270:27
827
0:27
026
227
826
227
027
427
027
826
227
026
227
026
227
8AU22
3657
SSR
225:22
522
1:22
522
523
121
922
523
123
322
323
123
1nd
AU22
3670
SSR
194:20
219
4:19
620
219
419
620
219
419
620
219
420
219
420
219
419
620
2nd
ndAU30
1431
SSR
213:21
621
6:21
621
321
621
321
621
321
621
621
321
621
621
321
6AY18
7627
SSR
300:nu
llnu
ll:nu
ll30
030
030
030
0nu
llnu
llnu
llCN44
4542
SSR
136:14
6110:110
136:15
6110:110
128
11012
413
611012
413
611012
614
611012
414
011013
611013
614
611012
413
6
CN44
4636
SSR
241:24
123
9:24
3nd
nd23
924
1nd
23924
124
123
9CN44
4794
SSR
260:30
623
0:29
827
026
023
025
427
025
627
225
427
025
6CN44
5290
SSR
230:23
023
0:23
623
023
023
023
623
024
224
223
624
2CN44
5599
SSR
154:16
413
115
3:17
613
013
213
014
617
613
113
613
113
215
015
413
013
115
213
113
615
413
013
214
615
413
013
114
6
CN49
1050
SSR
>33
0c:c
>33
0a:c
ndnd
>33
0c
>33
0a
>33
0b
>33
0bc
>33
0bc
Tab
le4(con
tinued)
215
SSRname
Fiesta
Discovery
Florina
Nov
aEasaygro
TN10
-8Durello
diForlì
Prima
Mon
dial
Gala
Fuji
CN49
3139
SSR
144:15
612
413
6:15
012
414
212
614
014
216
212
412
614
016
212
414
214
612
414
212
412
614
214
414
014
416
212
414
015
616
2CN49
6002
SSR
243:25
724
3:25
925
726
1nd
24326
124
325
724
325
724
325
924
325
7CN49
6913
SSR
236:23
623
6:24
223
623
623
623
627
823
624
423
625
223
624
4CN58
1493
SSR
194:19
418
4:19
422
819
421
819
222
019
422
819
422
619
421
819
421
8U78
948 S
SR
188:19
018
0:18
6nd
17818
2nd
18418
818
018
6nd
ndU78
949 S
SRb
215x
17620
922
522
1x17
4y20
922
517
620
521
917
421
917
620
721
917
217
619
0211
221
17421
520
519
020
5
Z38
126 S
SR
216:21
621
421
421
621
421
421
624
021
421
421
424
0Z71
980 S
SR
170
170
172
ndnd
172
nd17
0nd
Z71
981 S
SR
222:22
422
4:23
221
222
422
222
422
422
2nd
21622
222
223
2GD14
714
7:15
114
1:15
314
113
515
515
114
714
115
313
515
314
115
314
115
3HGA8b
160:16
4x13
5:15
1y15
6:16
4x15
1:15
1y
13516
015
616
016
413
315
616
015
115
616
016
415
616
413
515
616
016
415
115
616
016
415
115
616
016
4KA4b
141:13
713
9:14
114
113
714
113
714
114
113
713
714
1NB10
2a18
1:nu
ll18
1:18
3nu
ll18
318
3nu
ll18
1nu
ll18
3NH00
9b14
8:16
214
814
414
814
415
813
814
814
415
214
414
815
816
215
816
214
816
2
NH02
9a91
:91
91:93
9199
9795
9395
nd93
95NH03
3b18
9:18
917
5:18
316
317
716
317
717
518
317
918
318
318
917
718
917
718
7MSS6
279:27
927
7:27
327
927
927
327
327
927
927
9
For
theallelesof
FiestaandDiscovery,the
numbersseparatedby
“:”indicatetheestim
ated
size
oftheallelesof
thesamelocus,whiletheothernu
mbersindicatethesize
ofun
definedloci.
For
multilociSSRs,
xand
yindicate
theallelesassign
edto
locusxandy,respectiv
ely
ndallele
size
notdeterm
ined
a Amplicon
sthat
couldbe
allelesof
thelocusxas
wellas
oflocusy.For
theothersevencultivars,thesize
oftheam
plicon
sareindicated;
sing
leallelescanindicate
homozyg
osity
orthe
presence
ofanu
llallele
bDue
tothecomplex
pattern
ofallelesam
plifiedof
thisSSRinsteadof
pairof
alleleson
lyan
alleleperlocuswas
identifiedandispresentedin
thetable(allelethathasbeen
mappedas
ado
minantmarker)
Tab
le4(con
tinued)
216
of these 86 SSRs, 24 (28%) were developed during thisstudy. Some of the selected markers showed a low level ofpolymorphism in our set of reference cultivars. They were,nevertheless, included lacking more polymorphic alternativesfor these specific genomic regions.
Discussion
The aim of our research was to obtain a set of highlypolymorphic SSR markers that cover the entire applegenome, to enable directed genotyping approaches. Di-rected genotyping is a target-directed, cost- and time-efficient approach for the genome-wide genotyping of newcrosses, cultivars, and breeding lines. By facilitating thismethod of genotyping, assessments of new molecularmarker–trait associations, allele mining and validation ofcandidate genes will also be enhanced. This paper reportsthe generation and mapping of a large new set of apple SSR
markers. These SSRs have allowed the enrichment of thereference map of the apple with 168 new loci. This almostdoubled the number of mapped SSR markers.
Efficiency of SSR development
The newly mapped SSRs have been obtained fromdifferent sources: genomic libraries, publicly availableEST sequences, the literature, and from SSRs developedfor other Maloideae species. The efficiency by which eachof these sources gave new SSR markers is evaluated inTable 5. Only about 20% of the library sequences wereunique (not redundant), contained a microsatellite repeat,and were suitable for designing compatible primers in theregions flanking the repeat. When exploiting publishedEST sequences, there is no need to generate enrichedlibraries, or to sequence, and considerable amounts ofmoney and time can be saved.
Table 5 Statistics on SSR development
SSR library/originof the sequence
Sequencedclonesa
Sequences usedfor primer designa
Markersmappedb
Average no. of alleles perorigin of the SSRs
Average no. of repeats perorigin of the SSRsc
GA/GT libraries 571 103 65 (63%) 6.6 28AAGd/AAC/ATCd
libraries587 131 52 (40%) 4.0 9
GenBank 2nt 39 24 (61%) 5.8 14≥3nt 21 7 (33%) 4.3 6Pear and S. torminalise 17 7 (41%) 4.7 naApple SSRs fromliteraturef
8 1 (13%) 13g na
TOTAL 1,158 319 157 (49%)
na: not analyzable; sequences not availableaThe difference between the number of sequenced clones and sequences used for primer design is due to redundant sequences, absenceof a SSR repeat, or a too-short-sequence stretch before or after the SSR repeat for primer designbIn Fiesta × Discovery, or, alternatively in Durello di Forlì × Fiesta, Discovery × TN10-8, or Fuji × Mondial GalacFound in the sequence used for primer designing. Compound SSRs with repeats of different length (e.g., GT-CAA) were notconsidered. Compound SSR with different repeats but with the same number of nucleotides composing the repeat (e.g., GT-TA) wereconsidered and the length of the two repeats was summeddPositive clones of these two libraries were screened by PCR for the presence of highly redundant fragments. The number ofclones sequenced after this check are reportedeYamamoto et al. (2002a,b); Oddou-Muratorio et al. (2001)fHokanson et al. (1998)gThe number of alleles may be overestimated due to low quality of the amplifications
Table 6 Frequency distribution (numbers, percentages, and percentage cumulative) of the number of alleles assessed in a set of nine diploidcultivars of single-locus (SL) SSRs divided by the length of the SSR repeat (two nucleotides or more than two nucleotide repeats)
Absolute no. of SL SSRs No. of alleles
2 3 4 5 6 7 8 9 10 Total
No. of nt repeats 2 6 11 8 10 13 6 9 0 2 65≥3 13 9 13 7 1 3 46
%No. of nt repeats 2 9 17 12 15 20 9 14 0 3 100
≥3 28 20 28 15 2 7 0 0 0 100Cumulative %No. of nt repeats 2 9 26 38 54 74 83 96 96 100
≥3 28 48 76 91 93 100 100 100 100
217
Fig. 1 Genetic map of Fiesta (F) and Discovery (D). Numbering of thelinkage groups is according toMaliepaard et al. (1998), and consistent with
Liebhard et al. 2002, 2003b. SSRs are indicated in bold. SSRs of the newset have been additionally underlined and their map position is also in bold
218
Considering the relative high percentage of ESTscontaining SSR repeats (about 5%, data not shown), theefficiency by which SSR containing EST sequences lead to
SSR markers and the continuous increase of publiclyavailable EST sequences (Korban et al. 2005; Crowhurst etal. 2005), it is clear that the next SSR makers should be
220
developed from ESTs. Sequences containing long dinucle-otide repeats are preferable because of their higher level ofpolymorphism (Table 5), making them more valuable indirected genotyping approaches. Other new SSRs may belocated from the mapping of candidate genes that haveSSRs in their non-coding region (e.g., Gao et al. 2005a,b;Costa et al., in preparation), or by the sequencing ofpreviously mapped markers (Gao and Van de Weg 2006).
The approach of transferring SSRs developed in otherMaloideae species was efficient (41%). The high synthenybetween apple and pear was used (Yamamoto et al. 2004;Dondini et al. 2004) to select SSRs, which, from the mapposition in pear, could fill the gaps between SSRs mappedin apple or could enrich regions with few SSRs. Thisstrategy proved to be successful. One of the few new SSRmarkers mapped on LG1 is from pear (KA4b) and someregions (e.g., LG2, LG9, LG16) of the apple genome,which, at the beginning of the project did not contain a highdensity of SSRs, were enriched.
The efficiency of mapping previously developed appleGD-SSRs is probably underestimated due to our stringentPCR conditions (see later). Indeed, Hemmat et al. (2003)were able to map all 18 published GD-SSR markers exceptGD15, which showed very low polymorphism (Hokansonet al. 1998). Ten of these markers could be aligned to ourmap (data not shown), while seven (those tested in thiswork) could not be unequivocally aligned due to a lownumber of markers in common.
Level of polymorphism
The screening of a newly developed SSR over a restrictednumber of cultivars (nine in our case) allows an estimationof its true level of polymorphism. Although the number ofalleles identified is limited compared to what is present inthe apple germplasm, more extensive tests support a roughcorrelation between the allele numbers identified in a smallset of cultivars and the number in germplasm collections(Coart et al. 2003). This information is, thus, useful for afirst selection of markers for genotyping projects as well asfor genetic diversity studies.
New SSRs designed to meet high-throughput criteria
During the development of new SSRs, variable annealingtemperature (Tm) could be used to improve the amplifi-cation profile of individual markers. As our aim was todevelop SSR markers suitable for high-throughput testing,we, therefore, decided to design all primers with a singleTm (60°C), which should enable multiplex PCRs. Therelatively high Tm used was set to improve specificity,avoiding amplification of additional, non-SSR ‘bands’ thatcould hamper both scoring and multiplexing. On the otherhand, some SSR-containing sequences may not havedelivered an SSR marker, although primers for lower Tmmight have been feasible. Tm other than 60°C wereaccepted only for SSR markers developed and mapped inother Maloideae and that had a good chance of filling gapsin the SSR linkage map.
Differences between our standard PCR conditions andprofiles may be the reason why most GD–SSRs couldnot be mapped by us because of very complex bandpatterns that rendered impossible the recognition of theSSR alleles, despite giving good results in other studies(Hokanson et al. 1998, 2001; Hemmat et al. 2003; Vande Weg, unpublished).
Determination of allele sizes
Problems occurring in assessing the size of the amplifiedamplicons of a cultivar, using 33P-labeled primers andpolyacrylamide sequencing gel electrophoresis, have beenalready discussed by Liebhard et al. (2002). The authorsstated that 1) the absolute fragment size could bedetermined only with an accuracy of ±1 base, 2) differencesin size estimation between replications may occur, butrelative size differences among amplicons of testedcultivars are constant. These statements were confirmedin this study. Marker assessments with other technologyplatforms (fluorescently labeled primers, automated se-quencers) will also lead to different absolute values, thoughsize differences should remain constant (This et al. 2004).To allow comparisons among studies, we propose toinclude two or three universal reference cultivars, for whichwe propose Fiesta, Discovery, and Prima. We find thesecultivars suitable because they have been tested with mostapple SSR markers and have been involved in manygenetic studies, being parental cultivars of various mappingpopulations in Europe.
Accuracy of map positions
Although the mapping of the new SSRs is based on theanalysis of 44 progeny plants, their map position can beconsidered to be sufficiently accurate for our purposes. Theorder of the SSRs was usually identical for both theparental Fiesta and Discovery, thus confirming the validityof their relative position (Fig. 1). In only few cases is the
3Fig. 2 Set of 102 SSR primer pairs for global coverage of the applegenome. Map positions (in cM) are aligned to the Discovery mapsof Fig. 1. Gray filled bar segments indicate the linkage groupsegments covered by the Fiesta and Discovery maps of Fig. 1. Openbar segments indicate linkage group segments not covered by themaps of Fig. 1, but which were revealed by other, unpublishedlinkage maps. CH markers mapped by visual alignment that wereinitially mapped in other mapping populations are: CH04c06z[mapped in Prima × Fiesta and Jonathan × Prima (J×P)] andCH02g01 (Discovery × TN10-8 and J×P). For 16 loci, indicatedwith the symbol ?, no primer pairs are publicly available yet. Thesymbol ?* marks positions of unpublished SSR markers, which areexpected to become available in the near future. Underlined SSRshave been developed in the present work
221
order of flanking SSRs inverted. In all these cases, theSSRs involved maps very close together. Relative positionsof tightly linked markers are usually uncertain due to theeffects of missing values and to differences in segregationinformation among markers (Maliepaard et al. 1997). Thedata do allow assessment of approximate map positions ofthe new SSRs, which is sufficient for our current purpose tofill in the gaps in previous maps. In only one case,Z71981SSR (LG15), is the approximate map position still tobe determined. Some SSRs of the Hi set have already beenmapped in other crosses than Fiesta × Discovery, and theirmap position relative to other SSRs was confirmed(Patocchi et al. 2005; Gardiner et al. 2006; Erdin et al.2006; Durel, unpublished).
Genome covering set of apple SSRs
Currently, around 300 SSRs are mapped on the applegenome, mostly in Fiesta × Discovery (Fig. 1). Soon therewill be sufficient SSR markers to enable an initial genome-wide genotyping with a set of 100 SSR markers that havean average inter-marker distance of 15 cM (Fig. 2). Ourgoal is to develop such a set applying the following criteria:(1) distance between successive markers generally notlarger than 20 cM, though occasionally allowed to be up to25 cM; (2) most proximal and most distal marker of alinkage group preferably within 10 cM from the linkagegroup ends; (3) cleanness of the amplifications to alloweasy scoring and multiplexing; (4) high level of polymor-phism; (5) (un)suitability for multiplexing; (6) range of theallele sizes in view of multiplexing markers from the sameLG; (7) preference of CH- over Hi-SSR markers because ofthe generally wider experience with the former; and (8)preference of single-locus markers over multi-locusmarkers for ease of data interpretation.
Applying these criteria, we came up with a set of 86primer pairs, 24 of which (28%) were developed in thecurrent research. This set still lacks markers for 16chromosome segments (Fig. 2); however, in four segments,new SSRs have already been identified in other projects(unpublished data). To fill the remaining gaps, RAPD orAFLP markers previously mapped in these regions couldbe transformed into SCARmarkers, which could be used asprobes to screen apple BAC libraries. From the positiveBACs, sequences containing SSR repeats can be obtainedand used for the development of SSR markers. PCR-basedmethods for the “extraction” of sequences containing SSRrepeats from BAC clones are available (Vinatzer et al.2004).
The current set of 86 SSR markers covers around 85% ofthe genome. This set will be used to genotype 350 cultivarsand breeding selections as well as 1,400 descendants of 24crosses within the framework of the HiDRAS project(Gianfranceschi and Soglio 2004). This work will supplyadditional information on the level of polymorphism ofthese markers and their compatibility in multiplexed PCRs.
SSR database online
Information on the currently available apple SSR markersis scattered over various publications, and publishedinformation remains limited to the initial experienceswith these markers. In the course of their use internation-ally, new information concerning SSR markers will arisewith regard to level of polymorphism, range of allele sizes,number of loci, suitability for multiplexing, etc. World-wide, various groups are also developing new SSR markersfrom the continuously increasing amount of EST data. Forefficient genotyping of cultivars and breeding lines, and foran efficient generation of maps from new crosses, markersshould be sorted according to their map position, poly-morphism, and/or quality. To facilitate searches for andupdates of SSR information, and to concentrate worldwideefforts in the development of new SSR markers, an on-lineapple SSR database was constructed (http://www.hidras.unimi.it). This includes information on all SSR markers ofthe CH (Liebhard et al. 2002), Hi (this paper), and NZ(Guilford et al. 1997; Liebhard et al. 2002) series, and, onceavailable, will include information about the SSRs of theGD series (Hokanson et al. 1998; Hemmat et al. 2003).
This database also allows advanced searches, e.g., a listof SSRs mapped on a specific linkage group, among whichSSRs of a certain quality can be selected. For SSR markerswith amplification profiles of insufficient quality, newprimers can be designed and tested as the sequences of theclones from which the SSR markers were derived can bedownloaded for all CH and Hi markers. Updates andcomments can be added to each of the SSRs. Researchersare encouraged to share their experiences, especially in thereporting of improvements on problematic markers.
Although more than 300 apple SSRs have been mapped,there are regions of the genome not sufficiently coveredwith SSRs (Fig. 2). Saturation of these regions is requiredto allow the construction of maps based solely on SSRs. Inaddition to the method previously proposed, this could beachieved by the further mapping of EST sequencescontaining SSR repeats, as hundreds of such sequencesare available. Such a work could be performed mostefficiently by coordinating action among groups workingwith apple genetic maps all over the world. The currentdatabase is the first step towards the creation of such aworldwide platform. A form is available for announcingthat certain EST sequences are under investigation, so thatduplication of work could be avoided. Contact addressesare also available so that different research groups can getin touch and, if desired, exchange information.
Acknowledgements The authors thank Davide Gobbin andVicente Martinez for the technical assistance. This project is carriedout with the financial support from the Commission of the EuropeanCommunities (Contract No. QLK5-CT-2002-01492), Directorate-General Research—Quality of Life and Management of LivingResources Program. This manuscript does not necessarily reflect theCommission’s views and in no way anticipates its future policy inthis area. Its content is the sole responsibility of the publishers. TheSwiss partner has been financed by BBW No. 020053.
222
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