integration of novel ssr and gene-based snp marker loci in ...species gene prediction and isolation...

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Theor Appl Genet (2010) 120:1415–1441 DOI 10.1007/s00122-010-1265-1 123 ORIGINAL PAPER Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome Spurthi N. Nayak · Hongyan Zhu · Nicy Varghese · Subhojit Datta · Hong-Kyu Choi · Ralf Horres · Ruth Jüngling · Jagbir Singh · P. B. Kavi Kishor · S. Sivaramakrishnan · Dave A. Hoisington · Günter Kahl · Peter Winter · Douglas R. Cook · Rajeev K. Varshney Received: 3 September 2009 / Accepted: 27 December 2009 / Published online: 23 January 2010 © The Author(s) 2010. This article is published with open access at Springerlink.com Abstract This study presents the development and map- ping of simple sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers in chickpea. The mapping population is based on an inter-speciWc cross between domesticated and non-domesticated genotypes of chickpea (Cicer arietinum ICC 4958 £ C. reticulatum PI 489777). This same population has been the focus of previous stud- ies, permitting integration of new and legacy genetic mark- ers into a single genetic map. We report a set of 311 novel SSR markers (designated ICCM—ICRISAT chickpea microsatellite), obtained from an SSR-enriched genomic library of ICC 4958. Screening of these SSR markers on a diverse panel of 48 chickpea accessions provided 147 poly- morphic markers with 2–21 alleles and polymorphic infor- mation content value 0.04–0.92. Fifty-two of these markers were polymorphic between parental genotypes of the inter- speciWc population. We also analyzed 233 previously pub- lished (H-series) SSR markers that provided another set of 52 polymorphic markers. An additional 71 gene-based SNP markers were developed from transcript sequences that are Communicated by H. T. Nguyen. Electronic supplementary material The online version of this article (doi:10.1007/s00122-010-1265-1) contains supplementary material, which is available to authorized users. S. N. Nayak · N. Varghese · J. Singh · D. A. Hoisington · R. K. Varshney (&) Centre of Excellence in Genomics (CEG), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Andhra Pradesh, India e-mail: [email protected] S. N. Nayak · P. B. Kavi Kishor Department of Genetics, Osmania University, Hyderabad 500007, Andhra Pradesh, India H. Zhu · S. Datta · H.-K. Choi · D. R. Cook Department of Plant Pathology, University of California, Davis, CA 95616, USA H. Zhu Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA S. Datta Indian Institute of Pulses Research, Kanpur 208024, Uttar Pradesh, India H.-K. Choi Department of Genetic Engineering, Dong-A University, Busan 604-714, South Korea R. Horres · R. Jüngling · G. Kahl University of Frankfurt, Max von Laue Str. 9, 60439 Frankfurt am Main, Germany J. Singh · S. Sivaramakrishnan Department of Agricultural Biotechnology, Acharya N.G. Ranga Agricultural University (ANGRAU), Hyderabad 500030, Andhra Pradesh, India G. Kahl · P. Winter GenXPro GmbH, Frankfurter Innovationszentrum Biotechnologie (FIZ), Altenhöferallee 3, 60438 Frankfurt am Main, Germany R. K. Varshney Genomics Towards Gene Discovery Subprogramme, Generation Challenge Programme (GCP), CIMMYT, Int APDO Postal 6-641, 06600 Mexico DF, Mexico

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Page 1: Integration of novel SSR and gene-based SNP marker loci in ...species gene prediction and isolation (see Zhu et al. 2005). The lack of infrastructure (knowledge and physical capac-ity)

Theor Appl Genet (2010) 120:1415–1441

DOI 10.1007/s00122-010-1265-1

ORIGINAL PAPER

Integration of novel SSR and gene-based SNP marker loci in the chickpea genetic map and establishment of new anchor points with Medicago truncatula genome

Spurthi N. Nayak · Hongyan Zhu · Nicy Varghese · Subhojit Datta · Hong-Kyu Choi · Ralf Horres · Ruth Jüngling · Jagbir Singh · P. B. Kavi Kishor · S. Sivaramakrishnan · Dave A. Hoisington · Günter Kahl · Peter Winter · Douglas R. Cook · Rajeev K. Varshney

Received: 3 September 2009 / Accepted: 27 December 2009 / Published online: 23 January 2010© The Author(s) 2010. This article is published with open access at Springerlink.com

Abstract This study presents the development and map-ping of simple sequence repeat (SSR) and single nucleotidepolymorphism (SNP) markers in chickpea. The mappingpopulation is based on an inter-speciWc cross betweendomesticated and non-domesticated genotypes of chickpea(Cicer arietinum ICC 4958 £ C. reticulatum PI 489777).This same population has been the focus of previous stud-ies, permitting integration of new and legacy genetic mark-ers into a single genetic map. We report a set of 311 novelSSR markers (designated ICCM—ICRISAT chickpea

microsatellite), obtained from an SSR-enriched genomiclibrary of ICC 4958. Screening of these SSR markers on adiverse panel of 48 chickpea accessions provided 147 poly-morphic markers with 2–21 alleles and polymorphic infor-mation content value 0.04–0.92. Fifty-two of these markerswere polymorphic between parental genotypes of the inter-speciWc population. We also analyzed 233 previously pub-lished (H-series) SSR markers that provided another set of52 polymorphic markers. An additional 71 gene-based SNPmarkers were developed from transcript sequences that are

Communicated by H. T. Nguyen.

Electronic supplementary material The online version of this article (doi:10.1007/s00122-010-1265-1) contains supplementary material, which is available to authorized users.

S. N. Nayak · N. Varghese · J. Singh · D. A. Hoisington · R. K. Varshney (&)Centre of Excellence in Genomics (CEG), International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502324, Andhra Pradesh, Indiae-mail: [email protected]

S. N. Nayak · P. B. Kavi KishorDepartment of Genetics, Osmania University, Hyderabad 500007, Andhra Pradesh, India

H. Zhu · S. Datta · H.-K. Choi · D. R. CookDepartment of Plant Pathology, University of California, Davis, CA 95616, USA

H. ZhuDepartment of Plant and Soil Sciences, University of Kentucky, Lexington, KY 40546, USA

S. DattaIndian Institute of Pulses Research, Kanpur 208024, Uttar Pradesh, India

H.-K. ChoiDepartment of Genetic Engineering, Dong-A University, Busan 604-714, South Korea

R. Horres · R. Jüngling · G. KahlUniversity of Frankfurt, Max von Laue Str. 9, 60439 Frankfurt am Main, Germany

J. Singh · S. SivaramakrishnanDepartment of Agricultural Biotechnology, Acharya N.G. Ranga Agricultural University (ANGRAU), Hyderabad 500030, Andhra Pradesh, India

G. Kahl · P. WinterGenXPro GmbH, Frankfurter Innovationszentrum Biotechnologie (FIZ), Altenhöferallee 3, 60438 Frankfurt am Main, Germany

R. K. VarshneyGenomics Towards Gene Discovery Subprogramme, Generation Challenge Programme (GCP), CIMMYT, Int APDO Postal 6-641, 06600 Mexico DF, Mexico

123

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1416 Theor Appl Genet (2010) 120:1415–1441

highly conserved between chickpea and its near relativeMedicago truncatula. By using these three approaches, 175new marker loci along with 407 previously reported markerloci were integrated to yield an improved genetic map ofchickpea. The integrated map contains 521 loci organizedinto eight linkage groups that span 2,602 cM, with an aver-age inter-marker distance of 4.99 cM. Gene-based markersprovide anchor points for comparing the genomes of Medi-cago and chickpea, and reveal extended synteny betweenthese two species. The combined set of genetic markers andtheir integration into an improved genetic map should facil-itate chickpea genetics and breeding, as well as transla-tional studies between chickpea and Medicago.

Introduction

Chickpea (Cicer arietinum L.) is an annual, self-pollinateddiploid (2n = 2x = 16) species with a relatively smallgenome of 740 Mbp (Arumuganathan and Earle 1991).Chickpea is also the World’s third most widely grown foodlegume. Over 95% of chickpea production area and con-sumption occur in developing countries, with India contrib-uting the largest share (65%), followed by Pakistan (9%),Iran (7%), and Turkey (4%) (FAOSTAT database http://faostat.fao.org/site/567/default.aspx#ancor, 2007). Cytoge-netic and seed protein analyses are consistent with C. retic-ulatum as the wild progenitor of domesticated C. arietinum,with southeastern Turkey as the presumed center of origin(Ladizinsky and Adler 1976). Cultivated chickpea is com-posed of two genetically distinct sub-types that are readilydistinguished based on seed size and color: Desi, composedof small, brown seeded varieties, and Kabuli, composed oflarge, cream seeded varieties. Due to relatively low rates ofpolymorphism between cultivated chickpea accessions,inter-speciWc crosses between C. arietinum and C. reticula-tum have been the primary focus for genetic studies ofagronomic traits (see Singh et al. 2008).

A diverse array of technologies is available to identifyand monitor DNA polymorphism and as a consequencemolecular markers are now routinely used in the breedingprograms of several crop species (Varshney et al. 2006,2007). In the case of chickpea, molecular markers reportedin the literature are almost entirely simple sequence repeat(SSR) loci (Choudhary et al. 2006; Hüttel et al. 1999;Lichtenzveig et al. 2005; Sethy et al. 2003, 2006a, b; Winteret al. 1999). Despite considerable eVort, low rates of bothintra- and inter-speciWc polymorphism have limited thenumber of these SSR markers that have been integratedinto chickpea genetic maps. A primary goal of the currentstudy was to screen additional molecular markers andthereby enhance the marker density of chickpea geneticmaps.

Chickpea is a close relative of the model legume systemMedicago truncatula (Fig. 1, reproduced according to Choiet al. 2004b), and thus should beneWt from the increasinglydetailed description of the structure and function of theM. truncatula genome (Cannon et al. 2006). A pressingtask for chickpea researchers is to use knowledge gainedfrom the study of reference legumes, such as M. truncatula,Lotus japonicus, and soybean, to advance genetic improve-ment of chickpea. Comparative genomics based on ortholo-gous genetic markers oVers means to bridge model andcrop legumes. Alignment of linkage maps and sequencedorthologous regions between several legume species hasrevealed an extensive network of macro- and micro-syn-teny between legume species; importantly, genomic andgenetic comparisons of orthologous nodulation genes inseveral legumes suggests that comparison of genome struc-ture and function may have practical applications to cross-species gene prediction and isolation (see Zhu et al. 2005).The lack of infrastructure (knowledge and physical capac-ity) in chickpea, however, has limited the potential forcross-genome comparisons and has hampered progress inthe area of genomics-assisted breeding (Varshney et al.2009a).

In view of the above, we sought to enhance markerrepertoire and density of genetic maps in chickpea usinga combination of several molecular marker sets. We

Fig. 1 Phylogenetic relationships: Papilionoideae family. This Wgure(taken from Choi et al. 2004b) illustrates the phylogenetic relation ofchickpea with other legumes. Chickpea and Medicago belong toinverted repeat lacking clade (IRLC) of Papilionoideae and consti-tuted the cool season legumes

Tribe Genus Species

Vicia

Lens L. culinaris (lentil)

V. faba (faba bean)Viceae

Cool season legumes

(Galegoid)

Melilotus

Trifolium

Pisum P. sativum (garden pea)

M. officinalis (sweet clover)

T. pratense (red clover)(IRLC) Trifolieae

Lotus

Cicer

Medicago M. sativa (alfalfa)M.truncatula

C. arietinum (chickpea)

L. japonicus

Cicereae

Loteae

(Hologalegina)

Tropicalseason legumes(Phaseoloid)

Phaseolus

Vigna

Glycine

P. vulgaris (common bean)

V. radiata (mung bean)

G. max (soybean)Phaseoleae

Papilionoideae

Cajanus C. cajan (pigeonpea)(Phaseoleae)

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Theor Appl Genet (2010) 120:1415–1441 1417

developed two novel sets of molecular markers based on anSSR-enriched genomic DNA library and gene-based singlenucleotide polymorphism (SNP) markers derived fromcomparison of Medicago and chickpea ESTs. These novelgenetic markers were analyzed together with publishedgenetic markers to develop a dense genetic map of chick-pea. We anticipate that these resources will serve as toolsfor genomics-assisted breeding in chickpea, and enhanceprospects for transfer of knowledge about the structure andfunction of the Medicago genome to chickpea with a Wnalobjective of chickpea improvement.

Materials and methods

Plant material and DNA extraction

The cultivated chickpea germplasm line ICC 4958, belong-ing to Desi type and a parent line of inter-speciWc referencemapping population (C. arietinum ICC 4958 £ C. reticula-tum PI 489777) was used to construct microsatellite-enriched library. While two genotypes of chickpea (ICC4958 and ICC 1882) were used to optimize the polymerasechain reaction (PCR) conditions for newly developed SSRmarkers, an array of 48 genotypes which includes 33 geno-types from cultivated chickpea (C. arietinum) and 15 fromwild species of chickpea (7 genotypes from C. reticulatum,2 genotypes from C. echinospermum and one each fromC. bijugum, C. cuneatum, C. judaicum, C. microphyllum,C. pinnatiWdum, and C. yamashitae) was used to assess thepolymorphism potential of new set of SSR markers(Table 1).

For integrating the markers into the genetic map, theinter-speciWc reference mapping population ICC 4958 £ PI489777 comprising of a total of 131 RILs was used. Whileall 131 RILs were used to score genotyping data for theSSR markers isolated in this study as well as reported byLichtenzveig et al. (2005), a subset of 94 RILs was usedwith gene-based markers.

Total genomic DNA was extracted by employing thestandardized high throughput mini DNA extraction proto-col (as mentioned in Cuc et al. 2008). The quality andquantiWcation of extracted DNA was checked on 1.2% aga-rose. The DNA was normalized to 5 ng/�l for further use.

Construction of SSR-enriched library

To construct a size-fractioned chickpea genomic DNAlibrary, puriWed genomic DNA (100 �g) of ICC 4958 wascompletely digested with MboI or Sau3AI in combinationwith TaqI enzyme. The restricted fragments were separatedon low-melting agarose gels, and the gel zone containing

Table 1 List of 48 chickpea genotypes used for calculating polymor-phic information content (PIC) of newly developed SSR markers

S No. Genotype Botanical variety

Country of origin

Market type

1 ICCV 2 C. arietinum India Kabuli

2 ICC 10673 C. arietinum Turkey Desi

3 ICC 11944 C. arietinum Nepal Desi

4 ICC 12299 C. arietinum Nepal Desi

5 ICC 12379 C. arietinum Iran Desi

6 ICC 1431 C. arietinum India Desi

7 ICC 17116 C. yamashitae Afghanistan Wild

8 ICC 17122 C. bijugum Turkey Wild

9 ICC 17123 C. reticulatum Turkey Wild

10 ICC 17148 C. judaicum Lebanon Wild

11 ICC 17152 C. pinnatiWdum Turkey Wild

12 ICC 17160 C. reticulatum Turkey Wild

13 ICC 17162 C. cuneatum Ethiopia Wild

14 ICC 17248 C. microphyllum Pakistan Wild

15 ICC 1882 C. arietinum India Desi

16 ICC 2679 C. arietinum Iran Desi

17 ICC 283 C. arietinum India Desi

18 ICC 3137 C. arietinum Iran Desi

19 ICC 3239 C. arietinum Iran Desi

20 ICC 3696 C. arietinum Iran Desi

21 ICC 3986 C. arietinum Iran Desi

22 ICC 4853 C. arietinum Unknown Kabuli

23 ICC 4958 C. arietinum India Desi

24 ICC 5002 C. arietinum India Desi

25 ICC 506 EB C. arietinum India Desi

26 ICC 5337 C. arietinum India Kabuli

27 ICC 6263 C. arietinum Russia and CISs Kabuli

28 ICC 7052 C. arietinum Iran Desi

29 ICC 7413 C. arietinum India Pea

30 ICC 8200 C. arietinum Iran Desi

31 ICC 8261 C. arietinum Turkey Kabuli

32 ICC 9644 C. arietinum Afghanistan Desi

33 ICC V95311 C. arietinum India Kabuli

34 JG11 C. arietinum India Desi

35 JG62 C. arietinum India Desi

36 VIJAY C. arietinum India Desi

37 IG 72933 C. reticulatum Turkey Wild

38 IG 72953 C. reticulatum Turkey Wild

39 PI 489777 C. reticulatum Turkey Wild

40 IG 10419 C. arietinum Syria Kabuli

41 IG 6044 C. arietinum Sudan Kabuli

42 IG 6899 C. arietinum Iran Kabuli

43 IG 7148 C. arietinum Algeria Kabuli

44 IG 72971 C. reticulatum Turkey Wild

45 IG 73064 C. echinospermum Turkey Wild

46 IG 73074 C. echinospermum Turkey Wild

47 IG 73082 C. reticulatum Turkey Wild

48 IG 7767 C. arietinum Syria Kabuli

123

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1418 Theor Appl Genet (2010) 120:1415–1441

the fragments of DNA of size 800–1200 bp were excisedand ligated into Promega pGEM 3Z(f) vector (Promega,Madison, WI, USA). The vector was transformed intoE. coli Sure strain—DH10B (Stratagene, Heidelberg,Germany) by electroporation. Approximately 400,000 cloneswere plated at a density of 20,000 colonies per plate. Themasterplates generated were replica-plated on positivelycharged PVDF macroarrays. Macroarrays were printedusing contact printing technology at RZPD GmbH, Berlin,Germany.

For enriching the genomic DNA library, synthetic oligos(GA)10 and (TAA)10 were enzymatically 3� end-labeledwith digoxigenated oligonucleotides (DIG Oligonucleotide3�-End Labeling Kit; Roche, Mannheim, Germany). Subse-quently, macroarrays/Wlters were hybridized with above-mentioned oligo-probes in Roti-Hybri-Quick buVer (CarlRoth GmbH, Karlsruhe, Germany) including 10 �g/mlsheared, denatured E. coli DNA to minimize non-speciWcbinding. Filters were hybridized at 55°C overnight andwashed three times each for 10 min in 1:2, 1:5, and 1:10dilutions of the hybridization buVer at 60°C. The digoxigenwas detected in a “direct detection assay” performed withthe DIG Wash and Block buVer set, and DIG Luminescentdetection Kit (Roche, Mannheim, Germany) for chemilu-minescent detection with a monospeciWc antibody coupledto alkaline phosphatase in the presence of CSPD. Filterswere exposed to X-ray Wlms (Amersham, Buckingham-shire, UK) with intensifying screens for 4 h or overnight,and the colonies giving strong signals were scraped fromthe master plates; re-grown; spotted on Hybond N mem-branes (Amersham, Buckinghamshire, England) to Wx theDNA by lysis. Hybridization and chemiluminescent detec-tion was done repeatedly to pick the clones with positivesignals. These clones were grown on LB agar plates withampicillin (100 �g/ml) overnight at 37°C. Aliquots of thesecolonies were used for colony PCR.

Development of genomic SSR markers

The colonies with high level of signal were used to isolateplasmid DNA using standard alkaline lysis method(Sambrook and Russell 2001). After checking the qualityof the plasmid DNA on 0.8% agarose gel, the clones weresequenced using the BigDye Terminator cycle sequencingkit on an ABI3700/ABI3730XL (Applied Biosystems Inc.,Foster City, CA, USA). 288 clones were sequenced in bothdirections using standard T7 promoter and SP6 primers and19 clones in one direction by using M13-forward sequenc-ing primer at Macrogen (www.macrogen.com) and ICRI-SAT.

The sequences generated were subjected to CAP3, acontig assembly program (http://pbil.univ-lyon1.fr/cap3.php) in order to deWne unigenes. These unigenes were

subjected to MIcroSAtellite (MISA, Varshney et al. 2002)tool to search microsatellites considering minimum tenrepeat units of mono- (N), and four repeats of di- (NN), tri-(NNN), tetra- (NNNN), penta- (NNNNN) and hexa-(NNNNNN) nucleotides and compound microsatellitespresent within a distance of 100 bp. Primer pairs for SSRswere designed using Primer3 program (http://frodo.wi.mit.edu/) in batch Wle, and the SSR markers developedwere designated as ICCM (ICRISAT Chickpea Microsatel-lite) markers (Table 2).

Development of gene-based SNP markers

PCR primers derived from Medicago ESTs (expressedsequence tags), Medicago BAC (bacterial artiWcial chromo-some)-end sequences, and M. sativa cDNA sequences havebeen described in previous studies (Choi et al. 2004a, b,2006). To design PCR primers based on chickpea ESTs(Buhariwalla et al. 2005), candidate chickpea transcriptswere compared to sequenced Medicago BAC clones (http://www.medicago.org/genome), and transcripts with highnucleotide identity and low copy representation to theMedicago genome were selected for primer designing.Primers were designed from highly conserved codingsequences, to amplify across intron regions (Choi et al.2004a), using the Lasergene PrimerSelect software package(DNAStar Inc., Madison, WI, USA). Details of theseprimer pairs are given in Table 3.

The polymorphic gene-based markers between the par-ents of mapping population were identiWed essentially asmentioned in Choi et al. (2004a). Each pair of correspond-ing sequences from genotypes ICC 4958 and PI 489777was aligned using Sequencher software (Gene Codes, AnnArbor, MI, USA) to detect SNPs. The sequences withSNPs were transferred to DNA Strider 1.2 (Douglas 2008)to identify restriction site that is coincident with SNPs andcleavable ampliWed polymorphic sequence (CAPS) assayfor genotyping the corresponding SNPs were developed.In cases where a suitable restriction enzyme site was notidentiWed, oligonucleotide primers were designed immedi-ately adjacent to the SNP position, which allows for a sin-gle base extension of the SNP site using ABI SNaPshotMultiplexing Kits (Applied Biosystems Inc., Foster City,CA, USA).

Genotyping assay

For both ICCM as well as H-series SSR markers, theforward primers were anchored with M13 tail (CACGACGTTGTAAAACGAC). PCR amplicons generated bySSR markers were analyzed on capillary electrophoresis,while for gene-based SNP markers the CAPS or SNaPshotassays were used for genotyping. For SSR genotyping,

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Theor Appl Genet (2010) 120:1415–1441 1419

Tab

le2

Sim

ple

sequ

ence

rep

eats

(SS

R)

isol

ated

fro

m m

icro

sate

llite

-enr

iche

d li

brar

y of

chi

ckpe

a

Mar

ker

nam

eG

enB

ank

IDS

SR m

otif

aFo

rwar

d pr

imer

(5�

–3�)

Rev

erse

pri

mer

(5�

–3�)

Pro

duct

si

ze (

bp)

Num

ber

of a

llele

sbP

IC

valu

e

ICC

M00

01a

FI85

6656

(AT

)5G

AA

CT

TG

CT

TG

GG

GA

CA

GG

GA

GG

TG

AG

CT

GA

AG

TG

AG

GC

246

20.

05

ICC

M00

01b

FI85

6656

(CT

)4tc

(CT

)4T

GC

AC

AA

CG

GC

TA

TG

TC

TT

CG

AG

GT

GA

GC

TG

AA

GT

GA

GG

C11

89

0.71

ICC

M00

02FI

8566

54(T

C)6

TC

GT

TC

TC

CG

TT

AT

GT

GT

GC

AT

GC

CT

CC

AA

TA

GC

AT

AC

GG

262

20.

04

ICC

M00

03FI

8565

38(C

T)6

AA

TG

GA

AG

AA

CG

TC

AG

GG

TG

TT

CC

AC

TG

GG

GC

AA

AA

TA

AG

252

70.

59

ICC

M00

04FI

8565

39(A

T)4

CA

CT

CA

CA

CA

CG

CA

CT

TT

CA

AA

AA

GA

GA

AG

CC

CA

CC

AA

AA

213

40.

39

ICC

M00

05a

FI85

6657

(TC

)4N

(CT

)4N

(TC

)4T

GC

TG

AG

CG

AT

CT

GA

GG

AT

AG

CA

GC

AA

AA

AT

CA

GC

AC

AA

A27

7N

A

ICC

M00

05b

FI8

5665

7(A

T)4

TT

GG

TG

CA

GA

TT

TT

TG

TT

GC

AG

AT

TT

GG

GG

GA

TA

AA

AG

GG

241

10.

00

ICC

M00

07a

FI85

6661

(CT

C)4

N(T

C)4

N(T

C)4

TC

TA

CA

TT

CT

CT

CC

GT

GC

CC

GA

GG

AG

TG

TA

GG

GG

AG

AG

GG

242

NA

ICC

M00

07b

FI85

6661

(TC

CT

C)4

CT

CT

CC

CC

AC

TC

TC

CC

TT

TC

TG

AG

TA

GG

AT

CG

TA

GT

AG

GG

GG

202

NA

ICC

M00

08a

FI8

5654

0(A

)10N

(A)1

0C

TC

AT

GG

TG

GC

AT

TG

AG

AA

AT

CC

TT

GA

AT

TT

TT

GA

GA

CA

CG

A23

02

0.05

ICC

M00

08b

FI85

6540

(GA

)4N

(AG

)5t(

GA

)4T

CG

TG

TC

TC

AA

AA

AT

TC

AA

GG

AC

AC

TC

GA

CC

AC

CA

CT

GC

TA

A23

52

0.32

ICC

M00

08c

FI85

6540

(CT

)4G

GT

GG

TT

TG

TG

GA

GG

TT

GA

TA

GG

CA

AC

CA

TT

CA

TC

CT

TG

T24

52

0.05

ICC

M00

09a

FI85

6541

(GA

)4C

AC

TT

CA

AA

AG

AG

TG

TT

TG

AT

TT

GA

GG

TT

TG

AA

AG

AT

GA

GT

GG

TT

TT

G18

93

0.10

ICC

M00

09b

FI8

5654

1(A

)11

AA

AA

TA

TG

GA

AA

GT

CG

GG

CA

TG

CA

TT

TT

CT

TA

GC

GG

TT

TT

T25

7N

A

ICC

M00

10a

FI85

6663

(CT

)4G

AC

GG

AA

AT

AC

GG

CT

GG

TT

AG

CT

GC

AA

TA

TA

CT

CC

GC

CT

C11

31

0.00

ICC

M00

10b

FI85

6662

(AT

)4A

CG

CC

AA

TT

CT

TT

TG

AG

CA

CT

CA

GC

AC

TG

GT

GG

AA

CC

AT

A14

212

0.80

ICC

M00

14a

FI85

6542

(GA

)5C

GT

GG

TT

GT

GT

TG

TT

TG

AG

GT

GT

GT

TC

AT

CT

CC

CT

CT

CC

C13

41

0.00

ICC

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C27

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0.44

123

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1420 Theor Appl Genet (2010) 120:1415–1441

Tab

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01

0.00

123

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Theor Appl Genet (2010) 120:1415–1441 1421

Tab

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TA

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279

NA

123

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1422 Theor Appl Genet (2010) 120:1415–1441

Tab

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123

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Theor Appl Genet (2010) 120:1415–1441 1423

Tab

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123

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1424 Theor Appl Genet (2010) 120:1415–1441

Tab

le2

cont

inue

d

Mar

ker

nam

eG

enB

ank

IDSS

R m

otif

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rwar

d pr

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(5�

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123

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Theor Appl Genet (2010) 120:1415–1441 1425

Tab

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123

Page 12: Integration of novel SSR and gene-based SNP marker loci in ...species gene prediction and isolation (see Zhu et al. 2005). The lack of infrastructure (knowledge and physical capac-ity)

1426 Theor Appl Genet (2010) 120:1415–1441

Tab

le2

cont

inue

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Mar

ker n

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ICC

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ICC

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20.

08

123

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Theor Appl Genet (2010) 120:1415–1441 1427

Tab

le2

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123

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1428 Theor Appl Genet (2010) 120:1415–1441

Tab

le2

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inue

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123

Page 15: Integration of novel SSR and gene-based SNP marker loci in ...species gene prediction and isolation (see Zhu et al. 2005). The lack of infrastructure (knowledge and physical capac-ity)

Theor Appl Genet (2010) 120:1415–1441 1429

Tab

le3

Lis

t of

gene

-bas

ed S

NP

anc

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mar

kers

use

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9080

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TT

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CA

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TC

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CA

AA

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C

CD

C2

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1717

50M

t/EST

AC

1444

811

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TT

GC

AA

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GT

GT

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TT

CT

AC

TA

AC

AC

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AC

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TC

A

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981

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6332

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AA

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AA

AA

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AC

CA

AA

AA

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ppPF

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7468

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14

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3709

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8727

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AA

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CA

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GT

A

TC

8872

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STA

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7895

16

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CA

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AA

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CG

CA

CC

AT

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TA

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AA

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Chi

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NA

»A

C13

7554

21

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and

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l (20

03)

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AC

CO

AI9

7423

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1212

362

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AA

AA

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AA

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AA

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CC

T

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ES

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TT

TT

T

CP

CB

2A

W19

1283

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A2

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AA

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AA

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AC

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AA

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GC

CA

CA

CA

CC

TA

AT

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DM

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inc

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CT

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AG

AT

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A

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4575

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Ca/

ES

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1227

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AT

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AT

TG

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AG

CA

AC

CA

C

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46

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A

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123

Page 16: Integration of novel SSR and gene-based SNP marker loci in ...species gene prediction and isolation (see Zhu et al. 2005). The lack of infrastructure (knowledge and physical capac-ity)

1430 Theor Appl Genet (2010) 120:1415–1441

Tab

le3

cont

inue

d

Mar

ker

nam

eT

empl

ate

sequ

ence

ac

cess

ion

no.

Typ

eS

eque

nced

M

t BA

C

acce

ssio

n no

.

Lin

kage

gr

oup

in

M. t

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a

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kage

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in

chic

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Gen

otyp

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met

hod

Res

tric

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me

For

war

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(5�

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mer

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58

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CT

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TT

TC

GC

GC

AT

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TT

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AT

GA

AG

AG

A

X60

755

X60

755

Ca/

ES

AC

1376

695

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shot

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TA

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AA

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CA

CG

CC

CA

AT

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TT

CT

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CA

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ES

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275

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PCR was carried out in 5 �l reaction volume in GeneAmp®

PCR System 9700 thermal cycler (Applied Biosystems,Foster City, CA, USA). The reaction mixture containedWnal concentration of 5 ng/�l of template DNA, 0.5 mMdNTPs, 0.5 �M of M13 tailed forward, 1 �M of reverseprimer, 1 �M of M13 labeled primer, 0.75 mM of MgCl2,0.1 U of Taq DNA polymerase (AmpliTaq Gold), and 1£PCR buVer (AmpliTaq Gold). An initial denaturation wasgiven for 15 min at 94°C. Subsequently, ten touch-downPCR cycles comprising of 94°C for 20 s, 61/60/55°C(depending on the marker as given in Table 2, ESMTable 1) for 20 s, and 72°C for 30 s were performed. Thesecycles were followed by 35 cycles of 94°C for 10 s withconstant annealing temperature of 54/56/48°C (dependingon marker and touch-down proWles as given in Table 2,ESM Table 1) for 20 s, and 72°C for 30 s, and a Wnal exten-sion was carried out at 72°C for 20 min. The ampliWedproducts were separated by capillary electrophoresis usingABI PRISM® 3700 DNA analyzer, and allele calling wascarried out as given in Varshney et al. (2009b).

For SNP genotyping, in CAPS assay, 1.5 �l PCR prod-uct of 94 RILs was digested with the corresponding restric-tion enzymes. Each digestion reaction contained 2–5 U ofthe corresponding restriction enzyme and 1£ compatiblebuVer in a total volume of 10 �l. Enzyme digestions wereincubated at the appropriate temperature for at least 4 h.Digestion products were separated and scored as mentionedin Choi et al. (2004a). In case of SNaPshot assay, the ABISNaPshot Multiplexing Kits was used following the sameprotocol as suggested by the manufacturer, except that0.5 �l SNaPshot mix for a single marker was used (seeChoi et al. 2004a).

Polymorphism assessment of SSR markers

While ICCM-series markers were screened on the panel of48 diverse genotypes including the parents of the inter-spe-ciWc mapping population (Table 1), the H-series markerswere screened on only two parental genotypes (ICC 4958and PI 489777). Allelic data obtained for the SSR markerswere subjected to AlleloBin program (http://www.icrisat.org/gt-bt/download_allelobin.htm) for allele calling basedon the repeat units of SSR motif for corresponding markers.In case of ICCM markers, the binned allelic data were usedto calculate polymorphic information content (PIC) valueof the markers by using the PowerMarker V3.25 program(http://statgen.ncsu.edu/powermarker/).

Linkage analysis and map construction

Genotyping data for both ICCM- and H-series polymorphicmarkers were generated on 131 recombinant inbred lines(RILs) of the mapping population and for 94 RILs in caseT

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1432 Theor Appl Genet (2010) 120:1415–1441

of gene-based SNP markers. In addition, marker genotyp-ing data for 407 marker loci were compiled (Huettel et al.2002; PfaV and Kahl 2003; Tekeoglu et al. 2000; Winteret al. 1999, 2000).

Marker genotyping data were analyzed using the �2 testto assess the goodness-of-Wt to the expected 1:1 segregationratio for each marker. Subsequently, genotyping data for allthe markers, including those with distorted segregation,were used for linkage analysis using MAPMAKER/EXP3.0 (Lander et al. 1987). Marker loci were Wrst divided intolinkage groups at a LOD score of 16 and a recombinationfraction of 0.37 by two-point analysis using the ‘group’command. Marker order in the linkage groups was deter-mined using the multi-point analysis ‘try’ command of theprogram. Most likely order of the loci within the group wasdetermined using multipoint ‘compare’ command. Theungrouped marker loci were also attempted to integrate intogenetic map at a smaller LOD value (up to 6). The map dis-tances were calculated by applying the ‘Kosambi’ mappingfunction (Kosambi 1944) as per MAPMAKER/EXP 3.0program. Residual heterozygosity was not considered inlinkage mapping.

Results

Isolation and characterization of simple sequence repeats

A genomic DNA library composed of ca. 400,000 cloneswas constructed from the ICC 4958 genotype. Hybridiza-tion of this library with GA and TAA oligo probes yielded359 clones that were sequenced and assembled into a set of115 contig and 342 singleton DNA sequences, which werefer to as genome survey sequences (GSS). Thesesequences were submitted to National Centre for Biotech-nology Information (NCBI) and respective GenBank acces-sions are mentioned in Table 2.

Two hundred and ninety-nine of the 457 GSSs weredetermined to contain a total of 643 SSRs, with 165 GSSscontaining more than one SSR. As depicted in Fig. 2, di-and tri-nucleotide repeats were the most abundant (39 and40%, respectively), with mono-nucleotide and tetra-nucleo-tide repeats representing 16 and 3% of cases, respectively.Other types of SSRs had <1% representation. In terms ofrepeat motifs, the tri-nucleotide repeat motif TAA/ATTwas most common, accounting 36.8% of all repeat, fol-lowed by the di-nucleotide repeat GA/CT at 19.2%.

These SSR loci were categorized into two groups basedon the length of their SSR tracts: Class I SSRs (>20 nucleo-tides in length) and Class II containing SSRs (>12 but <20nucleotides in length) (Fig. 3). Considering only perfectSSRs, which is the set of SSRs that contain a single motif(e.g., TAA), we observed uneven distribution between

Classes I and II. In particular, the longer Class I SSRs weresubstantially enriched for tri-nucleotide repeats, which rep-resented 77% of all Class I repeats. A similar uneven distri-bution was noted for other repeats, but most notably thepenta-nucleotide repeats, which comprised 55% of all ClassII repeats and less than 2% of all Class I repeats.

Similarity analysis was performed for all 457 GSSsusing BLASTN and BLASTX algorithms, and signiWcantsimilarity was determined at an Expect value threshold of·1E–05 (Table 4). Relatively few of the GSS sequenceshad E values that surpassed this score, irrespective of thespecies data set under analysis. This is consistent with theexpectation that randomly selected short genomicsequences only occasionally correspond to gene coding

Fig. 2 Frequency of microsatellites based on type of repeat motifs inmicrosatellite-enriched library of chickpea. Frequency of tri-nucleo-tide repeats were higher among the chickpea microsatellite markersfollowed by di-nucleotide repeats. N, mono-nucleotide repeats; NN,di-nucleotide repeats; NNN, tri-nucleotide repeats; NNNN, tetra-nucleotide repeats; NNNNN, penta-nucleotide repeats, NNNNNN,hexa-nucleotide repeats

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regions that will match EST data sets. Nevertheless, incases where BLAST hits with e-value lower than 1E–05threshold were recorded, the degree of similarity, expressedas either nucleotide identity of deduced protein similarity,was highest for phylogenetically related species, decreasingin rank order of phylogenetic distance (i.e., Medicago >lotus > soybean = cowpea = common bean > poplar >Arabidopsis > rice). Among these sequences, 40 were iden-tiWed as related sequences in all three analyzed cool seasonlegumes, i.e., chickpea, Medicago, and Lotus (Hologaleginaclade; see Fig. 1), while 29 sequences had similarity withall three analyzed warm season legumes, i.e., soybean,common bean, and cowpea (Phaseoleae clade). Only 21sequences were identiWed as similar sequences in bothHologalegina and Phaseoleae species. Two of these GSSs(FI856609 and FI856659) showed signiWcant similaritywith sequences of all the plant species analyzed in thepresent study (see ESM Table 2).

With the objective of annotating these newly isolatedGSSs, all 457 GSSs were analyzed for BLASTX analysisusing UniProt database. 137 of these GSSs (29.9%) showedhomology to the UniProt database at a relatively relaxedcutoV value of · 1E–05. Among these, 84 unique proteinsequences were used for deriving respective gene ontology(GO) (see ESM Table 3). The GO studies permitted assign-ment of 64 sequences to biological process, 64 to cellularcomponent, and 67 to molecular function ontologies.According to the GO schema, single proteins typically havemore than one Ontology assignment.

Development of novel SSR genetic markers

All SSR containing GSSs (299) were analyzed by means ofPrimer3, yielding a list of potential oligonucleotide primersfrom which 311 primer pairs were selected and synthesized.Where feasible primer pairs were designed for more thanone SSR in a single GSS with the goal of increasing theconversion of GSSs into useable genetic markers.

Primer pairs were screened for ampliWcation of DNAfrom two chickpea genotypes, i.e., ICC 4958 and ICC 1882(Table 2). This analysis provided a set of 234 markers(75%) with scorable amplicons. Screening of these 234markers on 48 genotypes of chickpea further deWned a sub-set of 147 polymorphic markers (62.82%), with allele con-tent ranging from 2 to 21 and an average of Wve alleles permarker. Among these 147 polymorphic sites, 56 were poly-morphic exclusively in wild species, 8 were polymorphicexclusively in cultivated and 83 of them were polymorphicacross wild and cultivated species of chickpea.

We refer to these new polymorphic SSR markers asICCM (ICRISAT Chickpea Microsatellite) markers. Allelicdata obtained from 48 genotypes were used to calculate thePIC value of each ICCM marker, and thus infer the dis-criminatory power of these ICCM markers. PIC valuesranged from 0.04 to 0.92 with an average of 0.26. Twenty-six markers displayed the minimum PIC value of 0.04 each,while marker ICCM0160 had both the highest PIC value(0.92) and the highest number of alleles (21), followed bymarker ICCM0022 with 18 alleles and a PIC value of 0.89

Table 4 Functional annotation of ICCM sequences with EST databases

The database were downloaded from NCBI in May–June, 2008

BLASTN, nucleotide BLAST; BLASTX, protein BLAST; EST, expressed sequence tags; Ca, Cicer arietinum; Mt, Medicago truncatula; Lj, Lotusjaponicus; Pv, Phaseolus vulgaris; Vu, Vigna unguiculata; Gm, Glycine max; Ah, Arachis hypogaea; At, Arabidopsis thaliana; Os, Oryza sativa;Pa, Populus alba

BLAST algorithm

Database Number of entries in database searched

Number of sequences showingsimilarity

Number of sequences withsigniWcant similarity (<1E–05)

Percentage of sequences with expected values <1E–05

Median expected values

BLASTN Ca_EST 7,097 450 26 5.69 2E–60

Mt_EST 249,625 449 76 16.63 5E–22

Lj_EST 158,135 449 48 10.50 1E–16

Pv_EST 83,448 449 35 7.66 4E–26

Vu_EST 183,757 440 49 10.72 1E–14

Gm_EST 880,561 440 73 15.97 3E–14

Ah_EST 41,489 227 14 3.06 6E–15

At_EST 1,527,298 444 44 9.63 1E–11

Os_EST 1,220,877 285 20 4.38 2E–19

Pa_EST 418,223 452 48 10.50 1E–12

BLASTX Uniprot 385,721 409 137 29.98 3E–12

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1434 Theor Appl Genet (2010) 120:1415–1441

(Table 2). As has been observed in previous studies ofSSRs from plant species (Temnykh et al. 2001), Class ISSRs (41 of 57) were on average more polymorphic thatClass II SSRs (106 of 177), with mean PIC values of 0.38and 0.22, respectively. Nevertheless, a higher fraction ofthe polymorphic SSRs identiWed in this study were fromClass II (106) compared to Class I (41), owing to theincreased abundance of Class II SSRs in our data set. Con-sistent with their overall abundance in Class I SSRs(Fig. 3), tri-nucleotide repeats (20) constituted major part ofthe Class I polymorphic sites, with compound repeats (18)comprising the next largest fraction of Class I ICCM mark-ers. In contrast, di-nucleotide repeats were relatively rare inthe total Class II data set, but comprised the largest fractionof polymorphic Class II ICCM markers (47); similar toClass I markers, compound repeats (30) constituted of thesecond most common fraction of Class II polymorphicsites.

In addition to the ICCM markers developed in this study,we also analyzed a set of 233 markers developed primarilyby Lichtenzveig et al. (2005); these are the so-called “H-series” SSR markers. One-hundred Wfty-three H-seriesmarkers yielded scorable amplicons in two PCR proWles(ESM Table 1). Both the ICCM and H-series SSR markerswere tested for polymorphism between chickpea ICC 4958and PI 489777, the parents of the inter-speciWc mappingpopulation. From this analysis we identiWed 104 SSRs (52ICCM and 52 H-series) that were suitable as genetic mark-ers in the inter-speciWc cross, with polymorphism rates of33.9 and 22.2% for the H-series and ICCM SSR markers,respectively.

Development of gene-based SNP markers

A set of 246 gene-speciWc primers, developed earlier byChoi et al. (2004a) based on gene sequences of M. trunca-tula and M. sativa, were used to amplify DNA of the paren-tal genotypes of the inter-speciWc mapping population ofchickpea. One-hundred four (»42%) of these primer pairsshowed strong single fragments on 1% agarose gels; theseamplicons were re-sequenced in both mapping parents ofthe inter-speciWc cross (ICC 4958 and PI 489777), quality-scored, and trimmed to yield 96 pairs of high qualitysequences. Additional 25 primer pairs were designed basedon chickpea EST sequences that possessed high similarityto previously mapped Medicago genes, yielding 18 addi-tional high-quality sequence pairs. Alignment of the 114ICC 4958 and PI 489777 sequence pairs revealed SNPs in80 (»70%) genes. Seventy-one of these genes containedSNPs that could be converted to reliable genotyping assaysusing either CAPS or SNaPshot protocols (Table 3). Twoadditional gene-based markers, P40 and chitinase II, werealso used for genetic analysis; these genes were previously

mapped in chickpea by PfaV and Kahl (2003), while theirputative orthologs have been mapped in M. truncatula byChoi et al. (2004a).

Construction and features of the genetic map

The inter-speciWc cross between ICC 4958 £ PI 489777 ismaintained as an advanced recombinant inbred populationthat has been used in numerous genetic studies (Huettelet al. 2002; PfaV and Kahl 2003; Winter et al. 2000).Although the number of markers previously analyzed inthis population is relatively large (407 loci), a high percent-age of the markers are anonymous sequences (e.g., RFLP)and/or exhibit dominant patterns of inheritance (e.g.,AFLP). Thus, in many cases, these legacy genetic maps arebased on molecular markers that are either diYcult to applyor to reproduce. With the intent of extending this geneticmap, and enhancing the number of easily scorable markers,we genotyped the 123 new molecular markers (52 ICCMSSR loci and 71 gene-based SNP loci) and 52 previouslypublished H-series SSR loci described above, and com-bined the genotype data with that of the 407 previouslypublished loci. Linkage relationships were evaluated usingMAPMAKER/EXP 3.0.

As shown in Fig. 4, 47 (90.3%) of 52 ICCM marker loci,46 (88.4%) of 52 H-series SSR loci, all (100%) of 71 gene-based marker loci, and 357 (87.7%) of 407 legacy markerloci coalesced to yield eight linkage groups, in agreementwith eight chickpea chromosomes. The linkage groupswere numbered according to Winter et al. (2000), usingmarker loci that were common to both studies. This revisedgenetic map contains 521 marker loci, with an averageinter-marker distance of 4.99 cM and spanning 2,602.1 cM.Considering the 740-Mbp physical size of the chickpeagenome (Arumuganathan and Earle 1991), and ignoring thefact that rates can vary widely within the genome, 1 cM dis-tance in the present map equates to roughly 285 kbp. Withthe exception of linkage group (LG) 8, which has relativelyfew genetic markers (25 markers), the average number ofmarkers per linkage group was 71 § 8.9. LG 8 was also theshortest linkage group based on genetic distance, spanning124.7 cM; however, in general LG size was not well corre-lated with the number of markers. As described below,comparative mapping with Medicago truncatula revealedthat the entirety of chickpea LG8 corresponds to one arm ofMedicago Chr5, adding further credibility to its assignmentas a physically short linkage group.

Comparative linkage analysis between Medicago and chickpea genomes

As shown in Fig. 5, the 71 gene-based SNP markers aredistributed among eight major linkage groups of chickpea,

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facilitating comparison of genome structure betweenM. truncatula and chickpea. The respective M. truncatulaand chickpea LGs are numbered according to Choi et al.(2004a) and Winter et al. (2000). Alignment of conservedgenes between the two genetic maps reveals a high level ofsynteny between the two genomes. In particular, theM. truncatula linkage groups 1, 2, 3, 4, 7, and 8 correspondto chickpea linkage groups 4, 1, 5, 6, 3, and 7, respectively.Despite the overall high level of synteny between these sixpairs of linkage groups, intra-chromosomal segment rear-rangements reduce co-linearity (but not synteny) betweenM. truncatula LG1 (MtLG1) and chickpea LG4 (CaLG4).In contrast to the conserved synteny noted for Mt–Calinkage group pairs 1–4, 2–1, 3–5, 4–6, 7–3, and 8–7,

one-to-one relationships do not hold true for M. truncatulalinkage groups 5 and 6 and chickpea linkage groups 2 and8. In particular, M. truncatula LG5 can be aligned withboth chickpea LG2 and LG8. We note that CaLG8 appearsto be derived entirely from one arm of MtLG5, consistentwith its short genetic distance and small number of geneticmarkers, described above. In several cases, conservedmarkers mapped to non-syntenic positions between the twogenomes (e.g., CDC2 and TC88727 on MtLG1, DNABP onMtLG4, and TCMO on MtLG5), which may reXect translo-cation or duplication events involving single genes or smallchromosomal segments, or the mapped loci may corre-spond to paralogous genes. Mt-LG6 could not be eVectivelyaligned to any of the chickpea linkage groups (Fig. 5),

Fig. 4 An integrated genetic map of chickpea based on recombinantinbred lines of C. arietinum (ICC 4958) £ C. reticulatum (PI 489777).Map was constructed using MAPMAKER/EXP 3.0 with Kosambimapping function. Distances between the loci (in cM) are shown to theleft of the linkage group and all the loci are at the right side of the map.Newly developed SSR markers developed from microsatellite-

enriched library (ICCM-series) are bold and italicized; SSR markerstaken from Lichtenzveig et al. (2005) are bold, italicized, and under-lined; SNP markers which were used as the anchor markers in compar-ative mapping of chickpea and Medicago were depicted as bold andunderlined. Linkage groups (LGs) are designated according to the mapof Winter et al. (2000)

LG1 LG2 LG3 LG4

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1436 Theor Appl Genet (2010) 120:1415–1441

consistent previous reports describing Mt LG6 as rich inheterochromatin (Kulikova et al. 2001) and having a rela-tively low content of transcribed genes (Choi et al. 2004a).

Comparison of resistance gene homologs (RGH) between Medicago and chickpea

The majority of functionally characterized disease resis-tance (R) genes encode a nucleotide-binding site (NBS) anda leucine-rich repeat (LRR) region (Hulbert et al. 2001).NBS-LRR genes have been deeply surveyed and character-ized in M. truncatula (Zhu et al. 2002; Ameline-Torregrosaet al. 2008), with >330 NBS-LRR genes having knowngenetic positions. In contrast, chickpea RGHs are not thor-oughly surveyed, and only a limited number of sequencesfrom degenerate PCR are available in the public databases(Meyers et al. 1999; Huettel et al. 2002). Nevertheless,several phylogenetically distinct RGH classes have beenplaced on the genetic map of chickpea (Huettel et al. 2002),thus facilitating the comparative genome analysis presentedhere.

Comparative phylogenetic analysis of RGH sequencesfrom M. truncatula with those from chickpea is illustrated

in Fig. 6. To highlight the comparison, only those M. trun-catula sequences that are relevant to the mapped chickpeasequences are shown. In the TIR-NBS-LRR subfamily,chickpea RGH-G (CAC86496 on CaLG6; Huettel et al.2002) is highly similar to several M. truncatula TIR-NBS-LRR genes located on MtLG4, in a region syntenic to CicerLG6 that also contains chickpea RGH-G (Huettel et al.2002). Similarly, chickpea RGH-B (CAC86491; Huettelet al. 2002) is a CC-NBS-LRR gene that is closely relatedto several CC-NBS-LRR genes located in a cluster at thetop of MtLG3, in a region of the Medicago genome syn-tenic with the terminus of CaLG5 that contains RGH-B(Huettel et al. 2002). A lack of synteny was observed forchickpea RGH-D (TIR-NBS-LRRs represented bysequences CAC86454, CAC86455, CAC86493, AF186626,and AF186629; Huettel et al. 2002), which is located at thetop of CaLG2; the closest homologs of RGH-D in M. trun-catula (i.e., BAC AC144658) are localized to the distalregion of MtLG4. We note that the bottom of CaLG2 har-bors numerous active resistance genes against two of themost important diseases of chickpea (Fusarium wilt andAscochyta blight). At present, no RGHs have been reportedmapped close to these resistance phenotypes (Winter et al.

Fig. 4 continued

LG5 LG6 LG7 LG8

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Fig. 5 Comparative map of Medicago and chickpea. Gene-based SNPmarkers (marked in red color) were used as the anchor markers in com-parative analysis of chickpea and Medicago genome. The resistancegene homologs (RGH) are depicted as oval structures and their homo-

logs in Medicago are shown with connecting dotted lines. Solid linesshow the macrosynteny observed across chickpea and Medicago withrespect to 71 gene-based markers

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AC144658TC84431

DK322L

TC88512MS/U380

AC140025

GA31

TS19

TR56

AF457590

GAA42

TS43TA5

1433P

MS/U83STMS22

STMS20

TC80362

DK201R

GSb

DK417L

AC1227281433P

AC143340

TRPT

RG

H-B TA80

TA176

TC79726

TC88598tRALS

TC78756

MTU07EST948

TGDHR-43I21L

DK379L

TGDHTC79726*DNABP

TC78756

TC88598

tRALS

MTU07AC144502

DK322L

TC88726

RNAHAC136505

TC78638

ENOLTC86212

AGT

TA64

AGTTC78638

TC76881AJ004917

TR56

TC84431

TC88726

TC88512

MS/U380AJ291816

MS/L591RNAH

Ca-LG7Mt-LG8

MS/U515

STMS20AIGP

CysPr1

AC122728

MS/U515

MS/U83

AIGPCysPr1

STMS2

GA34

TA106GA9

MS/U40

*TC88727

RG

H-G

EST948MTU07

MS/U40

AC144502AC135160

ENOL

UNK21AC130801

TA76

TR26ENOLTC86212

TA64

AJ012739

AJ276275

Mt-LG6 Ca-LG2 Ca-LG8Mt-LG5

TA18

TAA58

TA180

MS/U82

R-AW257033

DK455L

R-40H12L

NTRBI

SDP1

CDC16

AC140032

MS/U82 TA78

AC137669

Ms/U89

TC87369 TA194

DK242

*AJ004960

TC87369 RG

H-D

TA110

AB025002

AAMCTT02CYSKMS/U89GAA46

TS45

FENR

SHMTDK242

TE019DK012L

LB1

FENR

CYSK

Ms/U71X60755

Ms/U71

TS12

EST671

COA0AJ489614AJ276270FIS-1

STMS6

AC138087AC122726

MRS

EST671COA-0

FIS-1

MS/U82

CPOX2

CPOX2

TA78

H2E13

AC122727

AC131455

R-36N1L

R-18A5RR-3F12R

004G07DK321L

003E11

AJ005041

AJ404640

MS/U393

TA96TA27

GA16

LB1

DK139L

DK355L

*TCMO

TS12

123

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1438 Theor Appl Genet (2010) 120:1415–1441

2000; PfaV and Kahl 2003; Sharma et al. 2004). Moreover,the low frequency of comparative molecular markersaround these R gene regions in both M. truncatula andchickpea complicate precise statements regarding the rela-tionship of these genome regions.

Discussion

SSR markers have become common place for plant genet-ics and breeding applications. Despite the fact that hun-dreds of SSR markers have been identiWed and tested inchickpea (Hüttel et al. 1999; Sethy et al. 2006a, 2006b;Winter et al. 1999; Lichtenzveig et al. 2005), the narrowgenetic background of cultivated chickpea germplasm haslimited their application, and thus there exists a need todevelop a larger set of novel genetic markers. With theobjective of enriching the marker repertoire of chickpea, we

have contributed novel SSR markers derived from a geno-mic library enriched for GA and TAA repeat motifs and aset of gene-based SNP markers. The basis of our markerdiscovery work was C. arietinum genotype ICC 4958,which is being used as a reference genotype for genomicand genetic resource by the chickpea community.

In the present study, 65.4% of hybridizing genomicclones in our SSR-enriched library yielded 643 SSRs. Thisrate of SSR recovery is comparable with previous studies,for example in peanut where 68% of hybridizing clonesyielded SSRs (Cuc et al. 2008). Moreover, the relativelyhigh abundance of tri- and di-nucleotide repeats that weobserved is consistent with previous studies in chickpea(Hüttel et al. 1999; Lichtenzveig et al. 2005; Winter et al.1999). Among the SSRs identiWed here, the most commonSSR motifs were TAA/ATT repeats and GA/CT repeats.This result reXects the fact that our enrichment targetedTAA and GA motifs, and it is consistent with previous

Fig. 6 Comparison of RGH sequences in Medicago and chickpea. Tohighlight the comparison between the chickpea and Medicago RGHs,only those Medicago sequences that are relevant to the mapped chick-pea sequences have been shown in this Wgure. In the TIR-NBS-LRRsubfamily, chickpea RGH-G (CAC86496 on Ca-LG6) was found highlysimilar to several Medicago TIR-NBS-LRR genes (a) located on BAC

clones AC144502 and AC135160. AC144502 and AC135160 wereclosely linked on Mt-LG4, in a region syntenic to Ca-LG6 thatalso contained chickpea RGH-G. In the CC-NBS-LRR (b) subfamily(Ca-LG5), chickpea RGH-B (CAC86491) was closely related to severalCC-NBS-LRR genes located on Medicago BAC clones AC145027,AC142396, AC130810, AC146744, and AC131249

C CAC86491Mt-AC146744.1Mt-AC146744.2Mt-AC130810.1Mt-AC142396.1

Mt-AC145027.3Mt-AC145027.4Mt-AC145027.2

Mt-AC145027.1Ca-AF186628

Ca-CAC86494Ca-CAC86490

Ca_AF186623

Ca-CAC86495Ca-CAC86457Ca-CAC86456

Mt-AC131249.1Mt-AC131249.2Ca-CAC86491

Ca-CAC86455AC143338.3

Ca-AF186624Ca-AF186626Ca-CAC86454

Ca-CAC86493Ca-AF186629

AC144658.1.2AC144658.2.2

AC144658.3.1AC144658.5

AC144658.4.2Ca-AF186627

Ca-CAC86452

AC135160.1Ca-CAC86496

AC135160.2AC144502.1AC144502.4

a TIR-NBS-LRR b CC-NBS-LRR

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Theor Appl Genet (2010) 120:1415–1441 1439

studies in chickpea (Hüttel et al. 1999; Lichtenzveig et al.2005; Winter et al. 1999), other legume species (Akkayaet al. 1992; Cregan et al. 1994; Mun et al. 2006), and even incereal species (Varshney et al. 2002; Jayashree et al. 2006).

Temnykh et al. (2001) developed a scheme to classifySSRs according to length, in which Class I and Class II SSRsare greater than or less than 20 bp, respectively. This divisionbased on sequence length has practical utility, because ClassI SSRs are generally more polymorphic and thus more desir-able as genetic markers. The majority of SSRs isolated fromour SSR-enriched library belong to Class II, though asexpected the Class I SSRs had higher rates of polymorphism.A useful measure of polymorphic potential for any geneticmarker is its polymorphism information content value, orPIC value. PIC values provide information on the probabilitythat a given marker will be polymorphic between any twoindividuals in a population, and thus are a function both ofallele frequencies and allele number. Screening of the ICCM-series markers on 48 genotypes revealed that average PICvalue of SSR markers having Class I repeats (0.38) washigher than that of Class II repeats (0.22). The majority of theClass I repeats were tri-nucleotide repeats, consistent withthe known utility of tri-nucleotide repeats as genetic markersin plants (Varshney et al. 2005).

Polymorphic information content value was also ana-lyzed in relation to repeat unit type and length. Among di-,tri-, and tetra-nucleotide repeats, tri-nucleotide repeatsshowed higher polymorphism (average PIC = 0.33) withaverage allele number of 5.7 per marker. Markers withmono-nucleotide repeats showed the least polymorphism(average PIC = 0.197). Relatively longer repeats appear tohave contributed to the higher level of polymorphism ascompared to di-nucleotide repeats (Gupta and Varshney2000). It was also observed that among tri-nucleotide SSRs,the SSR markers based on (TAA/TTA) repeat motifs dis-played higher polymorphism (average PIC = 0.35) with anaverage allele number of 6.12 per marker. Similarly, amongdi-nucleotide repeats SSR markers based on TA/AT repeatmotifs had a higher average PIC value (0.27) compared toothers with an average of 6.1 alleles. In fact, the earlierstudies in chickpea also revealed the abundance of TAA/TTA (tri-nucleotide) and TA/GA (di-nucleotide) SSRmotifs and the extensive polymorphism found with markerscontaining these repeat motifs (Hüttel et al. 1999; Lichtenz-veig et al. 2005). PIC values of compound SSRs (averagePIC = 0.29) were comparable with tri-nucleotide repeatswith 5.68 alleles per marker. This can be attributed to thefact that the markers with compound SSRs have more thanone SSR motif, which increases their chances to be poly-morphic markers.

We assessed the potential identity of SSR-relatedsequences by performing BLAST analyses versus plantEST data sets, and based on GeneOntology analysis

through UniProt. Less than one-third of the SSR-associatedGSS sequences had signiWcant hits in these databases,though were hits were recorded the derived annotations adda potentially useful data type to the marker metadata. Notsurprisingly, chickpea GSS sequences (from which theSSRs were derived) had higher similarity to ESTs fromother legume species, and overall higher similarity to dicotoutgroups (i.e., poplar and Arabidopsis) than to monocot(i.e., rice) data sets.

Comprehensive genetic map of chickpea

An inter-speciWc mapping population derived from ICC4958 (C. arietinum) and PI 489777 (C. reticulatum) wasused to incorporate novel microsatellite and gene basedmarkers. This mapping population has been widely used inpast by chickpea community in order to incorporate severalhundred microsatellite markers (Winter et al. 2000) andgene-based markers (PfaV and Kahl 2003). The diversegenetic background of the parents provides for higher ratesof polymorphism not only at the genetic level but also atphenotypic levels such as resistance to Fusarium wilt(Winter et al. 2000) and Ascochyta blight (Rakshit et al.2003), facilitating trait mapping. Therefore, this populationis generally considered as the international referencemapping population.

The present genetic map of chickpea represents 521marker loci, spanning 2,602 cM with an average inter-marker distance of 4.99 cM. The order of common markerloci deWned in present map agrees with earlier reports fromWinter et al. (2000). However, the current map diVers con-siderably from that of Winter et al. (2000) in having eightlinkage groups, in agreement with eight chromosomes,whereas the Winter et al. (2000) map was composed of 16linkage groups. There are probably at least two factors thatcontribute to this condensation of linkage groups: Wrst, thenew markers identiWed in the present study act as bridgepoints between the Winter et al. linkage groups, and sec-ond, essentially all of the markers mapped in the currentstudy behave a co-dominant genetic features, which addsconsiderable power to the genetic evaluation compared to ahigh fraction of dominant markers in earlier studies. Impor-tantly, the comparative analyses to Medicago support asimple assignment of eight chickpea linkage groups to eightchromosomes.

Comparative mapping of chickpea and Medicago

Mappig of the gene-based markers from Medicago in thegenetic map of chickpea showed not only a high level ofmacrosynteny but also revealed features of structural diver-gence between the two genomes. Six of the eight linkagegroups display a one-to-one correspondence between the

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1440 Theor Appl Genet (2010) 120:1415–1441

Medicago and chickpea, suggesting that these linkagegroups reXect the genome of the common Galegoid cladelegume ancestor. Medicago LG5 and LG6, and chickpeaLG2 and LG4, appear to have a more complicated ancestry,consisting of a minimum of several chromosomal translo-cation events. Thus, Mt-LG 5 is essentially a composite ofportions of LG2 and LG8 of chickpea. Several researchgroups have compared genome structure between Medi-cago and various crop legumes (see Zhu et al. 2005). Ourcurrent results extend the comparative network to includechickpea, by demonstrating broad conservation of genomemacrostructure between chickpea and Medicago.

One goal of comparative genetic analyses is to transferinformation from well-characterized reference species toless well-characterized crops with an eye toward cropimprovement. Among the agronomic targets in chickpea isresistance to several economically important pathogens;candidate genes for disease resistance are the conservedfamily of NBS-LRR resistance gene homologs (RGH). Sev-eral phylogenetically distinct RGH classes have been placedon the genetic map of chickpea (Huettel et al. 2002), thusfacilitating the comparative genome analysis between chick-pea and Medicago. In particular, we have documented twocases of syntenic NBS-LRR clusters that contain co-phyleticgenes in each species. Interestingly, Ca-LG2 is known toharbor active resistance genes against Fusarium wilt andAscochyta blight. At present, no RGHs have been reportedmapped close to these resistance phenotypes. Nevertheless,the facts that a single conserved gene (TC87369) maps to thetop terminal region of both Mt-LG6 and Ca-LG2, and thatboth linkage groups are rich in NBS-LRR genes and/oractive disease resistance genes (Sharma et al. 2004; Zhuet al. 2002), may suggest shared ancestry of Mt-LG6 andCa-LG2, though such speculation needs to be veriWed bymore detailed study of the respective genome regions.

Similar observations of NBS-LRR synteny have beenmade for resistance gene homologs within the Solanaceae(Grube et al. 2000) and between Medicago and pea (Pisumsativum) (Zhu et al. 2002). However, the limited numbersof comparative molecular markers (gene-based SNPs)around these R gene regions in both Medicago and chick-pea precludes precise statements regarding the relationshipof these genome regions. Although the current analysis isbased on a relatively small number of comparative markers,the potential of more detailed analyses to predict gene con-tent and chromosomal structure in chickpea by reference toMedicago seems clear.

Conclusion

A set of 311 novel microsatellite markers were developedfrom microsatellite-enriched library in order to increase the

genomic resources in chickpea. In total 147 potential SSRmarker loci were found based on diversity pattern of SSRloci on a panel of 48 diverse chickpea genotypes. Thesemarkers should have utility for genetic analysis of a rangeof chickpea mapping populations and as anchor markers incomparative mapping to other legumes.

Acknowledgments Thanks are due to Prathima Juvvadi, GudipatiSrivani and Abdul Gafoor for their technical assistance. Financial sup-port from Tropical Legume I of Generation Challenge Program (GCP,http://www.generationcp.org) of CGIAR and National Fund of IndianCouncil of Agricultural Research of Government of India are grate-fully acknowledged. The Wnancial support by National Science Foun-dation Grant 0110206 to DRC is acknowledged. Council of ScientiWcand Industrial Research (CSIR), Government of India is acknowledgedfor providing fellowship to SNN and the Indian Council of ResearchNATP-HRD program for providing fellowship to SD. We thankDr. Fred Muehlbauer of the USDA-ARS for providing the chickpearecombinant inbred population and genetic marker data.

Open Access This article is distributed under the terms of the Crea-tive Commons Attribution Noncommercial License which permits anynoncommercial use, distribution, and reproduction in any medium,provided the original author(s) and source are credited.

References

Akkaya MS, Bhagwat AA, Cregan PB (1992) Length polymorphismof simple sequence repeat DNA in soybean. Genetics 132:1131–1139

Ameline-Torregrosa C, Wang BB, O’Bleness MS, Deshpande S, ZhuH, Roe B, Young ND, Cannon SB (2008) IdentiWcation andcharacterization of nucleotide-binding site-leucine-rich repeatgenes in the model plant Medicago truncatula. Plant Physiol146:5–21

Arumuganathan K, Earle ED (1991) Nuclear DNA content of someimportant plant species. Plant Mol Biol Rep 9:208–219

Buhariwalla HK, Jayashree B, Eshwar K, Crouch JH (2005) Develop-ment of ESTs from chickpea roots and their use in diversity anal-ysis of the Cicer genus. BMC Plant Biol 5:16

Cannon SB, Sterck L, Rombauts S, Sato S, Wang X, Mudge J,Vasdewani J, Cheung F, Gouzy JP, Schiex T, Spanngl M, SchoofH, Nicholson C, Humphays S, Mayer K, Rogers J, Quetier F,Oldroyd GED, Debelle F, Cook DR, Town CD, Roe BA, TabataS, Van de Peer Y, Young ND (2006) Legume genome evolutionviewed through the Medicago truncatula and Lotus japonicusgenomes. Proc Natl Acad Sci USA 103:14959–14964

Choi HK, Kim D, Uhm T, Limpens E, Lim H, Mun JH, Kalo P,Penmetsa RV, Seres A, Kulikova O, Roe BA, Bisseling T, KissGB, Cook DR (2004a) A sequence-based genetic map ofMedicago truncatula and comparison of marker colinearity withM. sativa. Genetics 166:1463–1502

Choi HK, Mun JH, Kim DJ, Zhu H, Baek JM, Mudge J, Roe B, EllisN, Doyle J, Kiss GB, Young ND, Cook DR (2004b) Estimatinggenome conservation between crop and model legume species.Proc Natl Acad Sci USA 101:15289–15294

Choi HK, Luckow MA, Doyle J, Cook DR (2006) Development ofnuclear gene-derived molecular markers linked to legume geneticmaps. Mol Genet Genomics 276:56–70

Choudhary S, Sethy NK, Shokeen B, Bhatia S (2006) Development ofsequence-tagged microsatellite site markers for chickpea (Cicerarietinum L.). Mol Ecol Notes 6:3–95

123

Page 27: Integration of novel SSR and gene-based SNP marker loci in ...species gene prediction and isolation (see Zhu et al. 2005). The lack of infrastructure (knowledge and physical capac-ity)

Theor Appl Genet (2010) 120:1415–1441 1441

Cregan PB, Bhagwat AA, Akkaya MS, Rongwen J (1994) Microsatel-lite Wngerprinting and mapping of soybean. Meth Mol Cell Biol5:49–61

Cuc LM, Mace E, Crouch J, Quang VD, Long TD, Varshney RK(2008) Isolation and characterization of novel microsatellitemarkers and their application for diversity assessment in culti-vated groundnut (Arachis hypogaea). BMC Plant Biol 8:55

Douglas SE (2008) DNA strider: an inexpensive sequence analysispackage for the Macintosh. Mol Biotechnol 3:37–45

Grube RC, Radwanski ER, Jahn M (2000) Comparative genetics ofdisease resistance within the Solanaceae. Genetics 155:873–887

Gupta PK, Varshney RK (2000) The development and use of microsat-ellite markers for genetic analysis and plant breeding with empha-sis on bread wheat. Euphytica 113:163–185

Huettel B, Santra D, Muehlbauer J, Kahl G (2002) Resistance geneanalogues of chickpea (Cicer arietinum L.): isolation, geneticmapping and association with a Fusarium resistance gene cluster.Theor Appl Genet 105:479–490

Hulbert SH, Webb CA, Smith SM, Sun Q (2001) Resistance gene com-plexes: evolution and utilization. Annu Rev Phytopathol 39:285–312

Hüttel B, Winter P, Weising K, Choumane W, Weigand F (1999)Seguence-tagged microsatellite site markers for chickpea (Cicerarietinum L.). Genome 42:210–217

Jayashree B, Punna R, Prasad P, Bantte K, Hash CT, Chandra S,Hoisington DA, Varshney RK (2006) A database of simplesequence repeats from cereal and legume expressed sequencetags mined in silico: survey and evaluation. In Silico Biol 6:0054

Kosambi DD (1944) The estimation of map distance from recombina-tion values. Ann Eugen 12:172–175

Kulikova O, Gualtieri G, Geurts R, Kim DJ, Cook D, Huguet T, deJong JH, Fransz PF, Bisseling T (2001) Integration of the FISHpachytene and genetic maps of Medicago truncatula. Plant J27:49–58

Ladizinsky G, Adler A (1976) The origin of chickpea (Cicer arietinumL.). Euphytica 25:211–217

Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE,Newburg L (1987) MAPMAKER: an interactive computer pack-age for constructing primary genetic linkage maps of experimentaland natural populations. Genomics 1:174–181

Lichtenzveig J, Scheuring C, Dodge J, Abbo S, Zhang HB (2005) Con-struction of BAC and BIBAC libraries and their applications forgeneration of SSR markers for genome analysis of chickpea, Cic-er arietinum L. Theor Appl Genet 110:492–510

Meyers BC, Dickerman AW, Michelmore RW, Sivaramakrishnan S,Sobral BW, Young ND (1999) Plant disease resistance genes en-code members of an ancient and diverse protein family within thenucleotide-binding superfamily. Plant J 20:317–332

Mun JH, Kim DJ, Choi HK, Gish J, Debellé F, Mudge J, Denny R,Endré G, Dénarié J, Kiss GB, Roe B, Young ND, Cook DR (2006)Distribution of microsatellites in the genome of Medicago trunca-tula: a resource of genetic markers that integrate genetic andphysical maps. Genetics 172:2541–2555

PfaV T, Kahl G (2003) Mapping of gene-speciWc markers on the genet-ic map of chickpea (Cicer arietinum L.). Mol Genet Genomics269:243–251

Rakshit S, Winter P, Tekeoglu M, Juarez Muñoz J, PfaV T, Benko-Iseppon AM, Muehlbauer FJ, Kahl G (2003) DAF marker tightlylinked to a major locus for Ascochyta blight resistance in chickpea(Cicer arietinum L.). Euphytica 132:23–30

Sambrook J, Russell DR (2001) Molecular cloning: a laboratory man-ual, 3rd edn. Cold Spring Harbor Laboratory Press, Cold SpringHarbor

Sethy NK, Shokeen B, Bhatia S (2003) Isolation and characterizationof sequence-tagged microsatellite sites markers in chickpea(Cicer arietinum L.). Mol Ecol Notes 3:428–430

Sethy NK, Choudhary S, Shokeen B, Bhatia S (2006a) IdentiWcation ofmicrosatellite markers from Cicer reticulatum: molecular varia-tion and phylogenetic analysis. Theor Appl Genet 112:347–357

Sethy NK, Shokeen B, Edwards KJ, Bhatia S (2006b) Development ofmicrosatellite markers and analysis of intraspeciWc genetic vari-ability in chickpea (Cicer arietinum L.). Theor Appl Genet112:1416–1428

Sharma KD, Winter P, Kahl G, Muehlbauer FJ (2004) Molecular map-ping of Fusarium oxysporum f. sp. ciceris race 3 resistance genein chickpea. Theor Appl Genet 108:1243–1248

Singh R, Sharma P, Varshney RK, Sharma SK, Singh NK (2008)Chickpea improvement: role of wild species and genetic markers.Biotechnol Genet Eng Rev 25:267–314

Tekeoglu M, Tullu A, Kaiser WJ, Muehlbauer FJ (2000) Inheritanceand linkage of two genes that confer resistance to fusarium wilt inchickpea. Crop Sci 40:1247–1251

Temnykh S, Declerck G, Lukashova A, Lipovich L, Cartinhour S,McCouch S (2001) Computational and experimental analysis ofmicrosatellites in rice (Oryza sativa L.): frequency, length varia-tion, transposon associations, and genetic marker potential.Genome Res 11:1441–1452

Varshney RK, Thiel T, Stein N, Langridge P, Graner A (2002) In silicoanalysis on frequency and distribution of microsatellites in ESTsof some cereal species. Cell Mol Biol Lett 7:537–546

Varshney RK, Graner A, Sorrells ME (2005) Genic microsatellitemarkers in plants: features and applications. Trends Biotechnol23:48–55

Varshney RK, Hoisington DA, Tyagi AK (2006) Advances in cerealgenomics and applications in crop breeding. Trends Biotechnol24:490–499

Varshney RK, Mahender T, Aggrawal RK, Börner A (2007) Genicmolecular markers in plants: development and applications. In:Varshney RK, Tuberosa R (eds) Genomic assisted crop improve-ment: genomics approaches and platforms. Springer, The Nether-lands, pp 13–30

Varshney RK, Close TJ, Singh NK, Hoisington DA, Cook DR (2009a)Orphan legume crops enter the genomics era!. Curr Opin PlantBiol 12:202–210

Varshney RK, Hoisington DA, Nayak SN, Graner A (2009b) Molecu-lar plant breeding: methodology and achievements. In: Somers D,Langridge P, Gustafson PJ (eds) Plant genomics: methods andprotocols. The Humana Press, Totowa, pp 283–304

Winter P, PfaV T, Udupa SM, Hüttel B, Sharma PC, Sahi S, Arrequin-Espinoza R, Weigand F, Muehlbauer FJ, Kahl G (1999) Charac-terization and mapping of sequence-tagged microsatellite sites inthe chickpea (C. arietinum L.). Mol Gen Genet 262:90–101

Winter P, Benko-Iseppon AM, Hüttel B, Ratnaparkhe M, Tullu A,Sonnante G, PfaV T, Tekeoglu M, Santra D, Sant VJ, Rajesh PN,Kahl G, Muehlbauer FJ (2000) A linkage map of the chickpea(Cicer arietinum L.) genome based on the recombinant inbredlines from a C. arietinum £ C. reticulatum cross: localization ofresistance genes for Fusarium races 4 and 5. Theor Appl Genet101:1155–1163

Zhu H, Cannon SB, Young ND, Cook DR (2002) Phylogeny and geno-mic organization of the TIR and non-TIR NBS-LRR resistancegene family in Medicago truncatula. Mol Plant Microbe Interact15:529–539

Zhu H, Choi HK, Cook DR, Shoemaker RC (2005) Bridging modeland crop legumes through comparative genomics. Plant Physiol137:1189–1196

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