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High-resolution mapping of resistance to cassava mosaic geminiviruses in cassava using genotyping-by-sequencing and its implications for breeding

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ContentslistsavailableatScienceDirect

Virus

Research

jo u r n al hom e p ag e :w w w . e l s e v i e r . c o m / l o c a t e / v i r u s r e s

High-resolution

mapping

of

resistance

to

cassava

mosaic

geminiviruses

in

cassava

using

genotyping-by-sequencing

and

its

implications

for

breeding

Ismail

Y.

Rabbi

a,∗

,

Martha

T.

Hamblin

b

,

P.

Lava

Kumar

a

,

Melaku

A.

Gedil

a

,

Andrew

S.

Ikpan

a

,

Jean-Luc

Jannink

b,c

,

Peter

A.

Kulakow

a

aInternationalInstituteforTropicalAgriculture(IITA),Ibadan,Nigeria bDepartmentofPlantBreedingandGenetics,CornellUniversity,Ithaca,NY,USA cUSDA-ARS,R.W.HolleyCenterforAgricultureandHealth,Ithaca,NY,USA

a

r

t

i

c

l

e

i

n

f

o

Articlehistory:

Availableonline31December2013 Keywords:

Cassavamosaicdisease Breeding Phenotyping Monogenicresistance Genotyping-by-sequencing QTL

a

b

s

t

r

a

c

t

Cassavamosaicdisease(CMD),causedbydifferentspeciesofcassavamosaicgeminiviruses(CMGs),isthe mostimportantdiseaseofcassavainAfricaandtheIndiansub-continent.Thecultivatedcassavaspecies isprotectedfromCMDbypolygenicresistanceintrogressedfromthewildspeciesManihotglazioviiand adominantmonogenictypeofresistance,namedCMD2,discoveredinAfricanlandraces.Theabilityof themonogenicresistancetoconferhighlevelsofresistanceindifferentgeneticbackgroundshasled recentlytoitsextensiveusageinbreedingacrossAfricaaswellaspre-emptivebreedinginLatin Amer-ica.However,mostofthelandracescarryingthemonogenicresistancearemorphologicallyverysimilar andcomefromageographicallyrestrictedareaofWestAfrica,raisingthepossibilitythatthediversity ofthesingle-generesistancecouldbeverylimited,orevenlocatedatasinglelocus.Severalmapping studies,employingbulksegregantanalysis,indifferentgeneticbackgroundshavereportedadditional molecularmarkerslinkedtosupposedlynewresistancegenes.However,itisnotpossibletotellifthese areindeednewgenesintheabsenceadequategeneticmapframeworkorallelismtests.Toaddressthis importantquestion,ahigh-densitysinglenucleotidepolymorphism(SNP)mapofcassavawasdeveloped throughgenotyping-by-sequencingabi-parentalmappingpopulation(N=180)thatsegregatesforthe dominantmonogenicresistancetoCMD.VirusscreeningusingPCRshowedthatCMDsymptomsand presenceofviruswerestronglycorrelated(r=0.98).Genome-widescanandhigh-resolutioncomposite intervalmappingusing6756SNPsuncoveredasinglelocuswithlargeeffect(R2=0.74).Projectionof thepreviouslypublishedresistance-linkedmicrosatellitemarkersshowedthattheyco-occurredinthe samechromosomallocationsurroundingthepresentlymappedresistancelocus.Moreover,theirrelative distancetothemappedresistancelocuscorrelatedwiththereporteddegreeoflinkagewiththe resis-tancephenotype.Clusteranalysisofthelandracesfirstshowntohavethistypeofresistancerevealed thattheyareverycloselyrelated,ifnotidentical.Thesefindingssuggestthatthereisasinglesourceof monogenicresistanceinthecrop’sgenepooltracingbacktoacommonancestralclone.Intheabsence offurtherresistancediversification,thelong-termeffectivenessofthesinglegeneresistanceisknown tobeprecarious,giventhepotentialtobeovercomebyCMGsduetotheirfast-pacedevolutionaryrate. However,combiningthequantitativewiththequalitativetypeofresistancemayensurethatthis resis-tancegenecontinuestoofferprotectiontocassava,acropthatisdependeduponbymillionsofpeople inAfricaagainstthedevastatingonslaughtofCMGs.

©2013TheAuthors.PublishedbyElsevierB.V.

∗Correspondingauthorat:IITA,Headquarters&WestAfricaHub,PMB5320,Oyo Road,Ibadan200001,OyoState,Nigeria.Tel.:+23427517472x2719;

fax:+442087113785.

1. Introduction

1.1. Cassavamosaicdisease

Cassava(ManihotesculentaCrantz,familyEuphorbiaceae)isa

starchyrootcropthatsuppliescarbohydrateenergytomillionsof

peopleinthetropics (Ceballosetal.,2004)andit isbeingused

increasingly asanindustrialcrop(Janssonet al.,2009).Though

itsremarkableabilitytotolerateunfavourableconditionssuchas

0168-1702 ©2013TheAuthors.PublishedbyElsevierB.V. http://dx.doi.org/10.1016/j.virusres.2013.12.028

Open access under CC BY-NC-ND license.

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Africa(LeggandFauquet,2004).Thepandemicischaracterizedby

rapidspreadthroughsuper-abundantBemiciatabacivectors(Legg

andOgwal,1998)andisassociatedwitharecombinantstrainofthe

EastAfricancassavamosaicvirus–Uganda(EACMV-UG)alongwith

Africancassavamosaicvirus(ACMV)belongingtothegenus Bego-movirus,withintheGeminiviridiaefamily(Harrisonetal.,1997).

Important control measures against CMD include rogueing

ofsymptomatic plants,useof virus-freeplanting materialsand

deploymentofresistantvarieties.Thefirsttwooptionsarenotonly

labourintensiveanddifficulttoimplementbutalsorequire

contin-uousandlong-termintervention.Useofresistantvarietiesisthe

mosteffectivesolutioninmitigatingthenegativeeffectofCMDin

farmers’fieldsbecausethisapproachnotonlyreducesyieldlosses

duetothedisease,butalsoreduceslevelsofthevirusinoculum

inthefarmingsystemparticularlyinvarietiesthatsuppressvirus

accumulation.

1.2. Sourcesofresistancetothedisease

CurrentlydeployedresistanceagainstCMDinAfricaisoftwo

types:(i)quantitativeresistancederivedfromManihotglaziovii;

and (ii) qualitative resistance conferred by a single resistance

gene(s). The quantitative resistance was introgressed into

cul-tivatedcassava followinganunsuccessful worldwidesearch for

resistant clones in the 1930s (Nichols, 1947; Jennings, 1976).

Genetic studies reveal that the polygenic resistance from M.

glazioviiis recessive witha heritabilityof about 60%(Jennings,

1976).Thesecondtypeofresistance, whichisconditionedbya

single-genewithadominanteffect,wasdiscoveredinthe1980s

inlandracesfromNigeriaandotherWestAfricancountries(Akano

etal.,2002;Fregeneetal.,2001).Theselandraces,whichdisplay

near-immunityagainstnearlyallspeciesofCMGs,arecurrently

maintainedinthe IITAgermplasmcollection referred toasthe

Tropical Manihot esculenta (TMe) series.Diversitystudies using

molecularmarkershavepreviouslyshownthatmostoftheoriginal

landracesbearing thisqualitative resistancetoCMDare

geneti-callyverysimilarifnotidentical(Fregeneetal.,2000;Lokkoetal.,

2006).Thissuggeststhatthegeneticbaseofthistypeofresistance

intheAfricancassavagenepoolmaybenarrow,orevenjustasingle

locus.Incontrast,therelativeeasewithwhichthehighly

herita-blemonogenicresistancecanbetransferredbetweengermplasm

throughsimplecrosses,hasresultedinitsextensiveusagein

breed-ingacrossAfricaaswellaspre-emptivebreedinginLatinAmerica

(Okogbeninetal.,2007).Thelong-termstabilityofthissingle-gene

typeofresistanceindiversegeographicalregionswith

heteroge-neousspeciesandrecombinantsofCMGsisuncertaingiventhe

highevolutionaryrateofgeminiviruses(DuffyandHolmes,2009).

Severalgeneticmappingstudieshavebeenconductedtofind

molecularmarkerslinkedtothequalitativeresistanceintheAfrican

germplasm.Thefirststudyidentifiedtwomarkers,a

microsatel-lite(SSRY28)andanRFLP(GY1)thatflankasinglelocusnamed

CMD2atdistancesof9and8cM,respectively(Akanoetal.,2002).

SubsequenttothediscoveryoftheCMD2locus,laterstudieshave

just45 markers,ofwhichonly threewereinthelinkagegroup

containingtheresistancelocus.

Theobjective of thisstudy wastoprovide acomprehensive

frameworkfordescribingthebreadthofthegeneticbaseofthe

single-generesistancetoCMDintheAfricancassavagermplasm.

Firstly, a full-sib mapping population segregating for

qualita-tiveresistancetoCMDwasdevelopedandphenotypedforthree

growingseasons.Thepopulationwasgenotypedusing

genotype-by-sequencing(GBS),andadensegeneticlinkagemapwithmore

than8000singlenucleotidepolymorphism(SNPs)wasconstructed.

Usingthisresource,ahigh-resolutiongeneticmappingoftheCMD

resistancelocuswascarriedout.Themarkerspreviouslyreported

tobelinkedtoCMDresistancewerethenprojectedontothenewly

generatedgeneticmap.Thisrevealedtheirgenomiclocations,and

thespatialrelationshipbetweenthemandthemappedresistance

locusfromthepresentstudy.Toconfirmtherelationshipamong

theCMDresistantlandraces,clusteranalysiswascarriedoutusing

genome-wideSNPmarkers.

2. Materialsandmethods

2.1. Mappingpopulationdevelopment,phenotypingand genotyping

Afull-sibmappingpopulationsegregatingfordominant

mono-genicresistancetoCMDwasgeneratedbycrossingtwonon-inbred

clones.BothparentsareelitelinesdevelopedbyIITAinNigeria.

Thefemaleparent,IITA-TMS-011412,ishighlyresistanttoCMD

andalsorichinpro-vitaminA.Clonedin1974,themaleparent,

IITA-TMS-4(2)1425,isanimprovedvarietyfromacrossbetweena

landracefromNigeria(TME109,locallyknownasOyarugbafunfun)

andvariety58308,ahybridderiveddirectlyfromrecombinationof

theM.glaziovii×M.esculentatriple-backcrosses(Jennings,1976).

Variety 58,308 was the main source of the quantitative

resis-tancetoCMDandproducedsomeofthefirstgenerationTropical

ManihotSelectionlines(seethediscussionsectionformore

back-ground).IITA-TMS-4(2)1425showsconsiderablesusceptibilityto

CMD(Fig.1).

The180F1seedsproducedweregerminatedinsterilized

gar-densoilandtransplantedonemonthaftersowing.Atmaturity,the

seedlingswerecloned,regardlesswhethertheywereinfectedor

not,andplantedatIbadan,Nigeria(7.40◦Northlatitude,3.90◦East

longitude)usingarandomizedcompleteblockdesign.Eachclone

wasplantedintworeplicated plotsoffivestandsperplotwith

plantspacingof1m×0.5mforthree12-monthlongcropping

sea-sonsestablishedin2011,2012and2013.Generation-to-generation

propagationthroughcloningwasbasedonuseof12-cmlongstem

cuttingsinboththeinfectedandnon-infectedF1s.Alocallandrace

thatishighlysusceptibletoCMD,TME117,wasplantedasspreader

roweveryfifthplotandasborderrowsurroundingthe

experi-mentalfieldtofacilitatewhitefly-mediatedinoculationoftheF1

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Fig.1. CMDsymptomonthemappingpopulationparents,(a)IITA-TMS-011412and(b)IITA-TMS-4(2)1425;(c)ThefrequencydistributionofCMDscoresusingtheBLUPs calculatedfromthethree-yeardata.

theplantingperiodcoincidewithhighwhiteflyactivityproviding

highprobabilityofnaturalexposureofplantpopulationtoCMD

inoculum.IndividualplantswereevaluatedforCMDsymptomsat

oneandthreemonthsafterplantingusingascalerangingfrom1

to5,withoneforsymptomlessplantswhilefiveisgivenformost

severesymptoms(severemosaicanddistortionofleaves).

The entire population was screened for presence of CMGs,

particularly for the presence of ACMV and EACMCV, the two

predominantspeciesprevailinginWestAfrica, toconfirmvirus

infectionintheinfectedplants.Thethirdfullyexpandedleaffrom

thetop was sampledfrom each of the 5 plants per plot; they

werepooledandDNAwasextractedandanalyzedforACMVand

EACMCVusingamultiplexPCRprotocol(Alabietal.,2008).

2.2. Genotyping-by-sequencing

DNAwasextractedfrom180F1individualsandthetwo

par-entsusingamodifiedDellaportamethod(Dellaportaetal.,1983).

Genotyping-by-sequencingasdescribedbyElshireetal.(2011)was

carriedoutattheInstituteofGenomicDiversity,CornellUniversity.

Briefly,DNAsfromtheF1individualsandparentsweredigested

individually withApeKIrestrictionenzyme, whichrecognizes a

fivebase-pairsequence(GCWGC,whereWiseitherAorT).This

enzymewaschosenbecauseofitspartialsensitivitytoDNA

meth-ylation,thusavoidingrepetitiveelementsregions,andfrequency

ofDNA-cutting(Elshireetal.,2011).Two95-plexGBS

sequenc-inglibrarieswerepreparedbyligatingthedigestedDNAtounique

nucleotideadapters(barcodes)followedbystandardPCR.

Sequenc-ingwasperformedusingIlluminaHiSeq2000.Thesequencingreads

fromdifferentgenotypeswerede-convolutedusingthebarcodes

andaligned totheversion4.1 ofthecassavareferencegenome

(www.phytozome.org/cassava)byusingBurrowWheelers

Align-menttool(LiandDurbin,2009).SNPswereextractedusingtheGBS

pipelineimplementedinTASSELsoftware(Bradburyetal.,2007),

andgenotypeswerecalledusingacustomRscript.

2.3. Dataanalysis

Thepseudo-testcrosslinkagemappingstrategythatisemployed

intheanalysisoffull-sibmappingpopulationsrequires

unambigu-ousscoringoftheparentalgenotypesateachmarker.Toensure

this,theparentalDNAsweresequencedredundantlyfourtimesand

theirIlluminareadswerepooledtoincreasethenumberand

accu-racyofthecalledSNPs.Followingalignmentofthereadsagainst

thereferencegenome,theSNPsthatsegregatedintheparentsas

ab×ab(bothparentsheterozygous),aa×ab(maleparent

heteroy-gous),andab×aa(femaleparentheterozygous)wereextracted.

Priortolinkageanalysis,standardqualitycontrolwasusedtofilter

outSNPsfromparalogoussequences(i.e.lociwhichappearas

het-erozygousinbothparentsandallprogenies).Alsofilteredwereloci

showingsignificantdeviationfromexpectedgenotypicfrequencies

basedonchi-squaretest(thresholdforremoval:P≤0.05)aswellas

thosewithmissinginformationinmorethan20%ofthegenotyped

individualsinthemappingpopulation.

2.3.1. MappingofGBS-derivedApeKISNPs

GeneticlinkagemapswereconstructedusingJoinMapversion

4.1(VanOoijen,2006).Followingcalculationofpair-wise

recom-bination frequencies, linkage groups were identified using the

logarithmofodds(LOD)scoreofindependencebetweenpairsof

lociatathresholdof10.Duetothelargenumberofmarkersper

linkagegroup,themaximum-likelihoodmappingalgorithm

imple-mentedinJoinmap4.1wasusedtofindtheorderofthemarkersin

thelinkagegroups.Thismethodissuitablefordealingwithlarge

datasetscomparedtotheregressionmappingmethod(Cheemaand

Dicks,2009)andincorporatesseveralnumericalmethods:

simu-latedannealingforestimatingthebestmaporderbyminimizing

thesumofrecombinationfrequenciesinadjacentsegments;Gibbs

samplingforestimationof multipointrecombinationfrequency,

giventhecurrentmaporder;andspatialsamplingoflocitoreduce

theinfluenceofunknownordominantgenotypesaswellas

poten-tialerrors.Simulatedannealingwascarriedoutusingachainlength

of30,000withanacceptanceprobabilitythresholdof0.25.Gibbs

samplingformaximumlikelihoodestimationofmultipoint

recom-binationfrequencies (Jansen etal., 2001)wasdoneusingchain

lengthof50,000afteraburn-inlengthof20,000.

2.3.2. Phenotypicdataanalysis

Becausethecategoricaldiseaseseverityscoresfittedabi-modal

distribution,forstatisticalanalyses(ANOVAandQTLmapping)the

traitwasconvertedtoabinaryvariable(eitherresistantor

suscep-tible).IndividualswithcategoricalCMDseverityscorelargerthan

onewereclassifiedasAffected;allotherswereclassifiedas

Unaf-fected.Alogisticregressionmodelusinggeneralizedlinearmodel

wasusedtoestimatetheeffectofthegenotype,replication,

envi-ronmentandgenotype-by-environmentinteractionasfollows:

yijkl=+ˇi+Rij+Gk+ˇ∗iGk+eijkl

whereyijklwasthephenotype;themean,ˇitheyeareffect;Rij

thereplicationeffect; Gk thecloneeffect;ˇi*Gk isthe

interac-tionbetweencloneandyearandeijklistheresidual.Mixedmodel

wasusedtoobtainbestlinearunbiasedpredictors(BLUPs)foreach

genotypeforthecombinedthree-yeardata.Themixedmodelwas

computedusingtheRpackagelme4(Vazquezetal.,2010),

consid-eringtheeffectsofthegenotypesasrandom,whilereplications

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tionwascarriedoutwiththeBLUPsobtainedforeachyear,and

acrossthecombinedanalysisofthe2011,2012and2013data.QTL

analysiswasperformedusingthreecomplementaryapproaches.

Becauseofhighmarkerdensity,singlemarker-traitassociationfor

all6756SNPswascarriedout.Themarkerswereconsideredasfixed

effectsinalinearmodelimplementedintheGLMfunctionTASSEL

(Bradburyetal.,2007).Thegenome-widesignificancethresholdfor

theF-statisticwasdeterminedbytheBonferronimethod(Bland

andAltman, 1995).Secondly, standard interval mapping

(inter-valsstepof2.5cM)wascarriedoutusingtheregressionmapping

function“scanone”implementedinR/qtlpackage(Bromanetal.,

2003).Thegenome-widesignificance(˛=1%)fordeclaringa

sig-nificantQTLlocuswasdeterminedusing1000permutations.The

95%BayesiancredibleintervalfortheCMDresistancelocuswas

determinedusingthefunction“bayesint”implementedinR/QTL.

Theproportionofphenotypicvarianceexplainedbytheresistance

locuswasobtainedbyfittingalinearmodel.Thirdly,QTLanalysis

usingtheCompositeIntervalMapping(CIM)methodwascarried

outwiththenumberofmarkercovariatessettothree.The

num-berof markers foruse asco-factors wasdetermined usingthe

automaticco-factorselectionfunction(stepwiseqtl)implemented

inR/qtl.TheCIMmethodenabledareductionin residual

varia-tionandtherebyincreasestheresolutionoftheQTLlocationand

withitthepossibilityofdetectinganyadditionalgenomicregions

thatunderlyresistancetoCMD.AnchoringCMD-resistance-linked

markersinthepresenthigh-densitygeneticmap

Thehigh-densitySNPmapdevelopedinthis studywasused

toanchorpublishedlociassociatedwithqualitativeresistanceto

CMD(Table1).Primersequencesthat flankfive ofthese

mark-ers(viz.SSRY28,NS198,SSRY106,NS158andNS169)wereused

in BLAST searches of the cassava reference genome sequence

(www.phytozome.org/cassava). Marker positions were

interpo-latedontothegeneticmaponthebasisofthescaffoldsharbouring

them(Table1).

landracesandfiveTMScloneswiththequantitativeresistance(as

anout-group),wereobtainedfromapreviousstudy(Lyetal.,2013),

andusedtoperformhierarchicalclusteringusingtheEuclidean

distancebetweenthegenotypes.Thesedistanceswereusedto

con-structarelationshipdendrogramoftheclones.

3. Results

3.1. SegregationforresistancetoCMDinthemappingpopulation

ThefrequencydistributionoftheCMDseverityscoresinthe

mappingpopulationrevealedabi-modalpatternwithtwopeaks

(Fig.1):nearlyhalfoftheprogeniesandthefemaleparent

(IITA-TMS-011412)wereresistanttoCMDand showednosymptoms

whiletheremainderoftheF1individualsshoweddisease

symp-tomsrangingfrommild(score2)tosevere(score5).Resistance

to CMD foundin the female parent is therefore likely to be a

singlegenewithdominanteffect.Therewasverylittlevariation

withinplotswithrespecttoCMDsymptomexpression:allstands

eithershowedsimilarsymptomsininfectedsusceptibleplotsor

nosymptomsatallintheresistantplots.Theconsistencyin

symp-tomexpressionislargelyduetotheclonaloriginfrominfected

cuttings which ensures transmissionof virusesacrosscropping

cycles. Moreover,there wasverylittleyear-to-yearvariation in

termsofCMDincidences:Thediseaseratingsinthe2011,2012and

2013growingseasonswerehighlycorrelated(Pearson’s

correla-tioncoefficient,r>0.91).Thiswasreflectedinthelargebroad-sense

heritabilityoftheresistancetraitasmeasuredatoneandthree

monthsafterplanting(H2of0.89and0.93,respectively).Analysis

ofvarianceusingthelogisticregressionmodelshowedahighly

significanteffectfor clone(p=<2E−16),while theotherfactors

suchasenvironment(year),clone×environmentinteractionand

replicationwerenotsignificant.

Table1

SummaryoftheknownmarkerstaggingCMDresistanceincassavaandtheirlinkagegroup.

Marker Primersequence Linkagegroup Scaffold(v4.1) Study Resistancesource

S5214780931 GBS-SNP 16 scaffold05214 Presentstudy IITA-TMS-011412

S521430911 GBS-SNP 16 Scaffold05214 Rabbietal.(inpress) IITA-TMS-961089A

SSRY28(CMD2) Fw:TTGACATGAGTGATATTTTCTTGAG Rev:GCTGCGTGCAAAACTAAAAT

16 scaffold05214 Akanoetal.(2002), Lokkoetal.(2005), Okogbeninetal.(2012)

TME3;TME7;IITA-TMS-972205

SSRNS158 Fw:GTGCGAAATGGAAATCAATG Rev:TGAAATAGTGATACATGCAAAAGGA

16 scaffold06906 Okogbeninetal.(2007) TME3

SSRNS169 Fw:GTGCGAAATGGAAATCAATG Rev:GCCTTCTCAGCATATGGAGC

16 scaffold06906 Okogbeninetal.(2007) TME3

RFLPRME-1 Fw:ATGTTAATGTAATGAAAGAGC Rev:AGAAGAGGGTAGGAGTTATGT

16 Nomatch Okogbeninetal.(2007) TME3

SSRNS198 Fw:TGCAGCATATCAGGCATTTC Rev:TGGAAGCATGCATCAAATGT

16 Scaffold04175 Okogbeninetal.(2012) IITA-TMS-972205

SSRY106 Fw:GGAAACTGCTTGCACAAAGA

Rev:CAGCAAGACCATCACCAGTTT

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Table2

ScreeningresultsofthemappingpopulationforthepresenceofACMVandEACMV.

Diseasestatus Virusnotdetected ACMVonly ACMV+EACMV

Symptomatic 1 65 15

Asymptomatic 92 6 1

3.2. Screeningofthepopulationforcassavamosaicgeminiviruses

usingPCR

ThePCR-basedscreeningofthemappingpopulationdetected oneor moreof theCMGs in87 of 180plotsassayed,while 93 plotswerenegative(Table2).OnlytwospeciesofCMGs,ACMV

andEACMCV,weredetectedinthetrial,whichisconsistentwith

knownCMGsprevalenceinWestAfrica.ACMVwasdetectedinall

the87virus-positiveplots,whereasEACMCVwasdetectedasa

co-infectionwithACMVin16plots(17%incidence).Nocaseofsingle

infectionbyEACMCVwasdetected.CMGsweredetectedin79of81

symptomaticplotsindicatingastrongpositivecorrelationbetween

thevisualscoringofdiseaseandthePCRresults.Inaddition,PCR

alsodetectedoccurrenceof ACMVin7 asymptomaticplots and

ACMVandEACMCVinoneplot.MeanseverityofCMDsymptoms

inACMVinfectedplantswas3.1andplantsinfectedwithACMV

andEACMCVwas3.2,whichsuggestapparentlackofsynergistic

effectinheighteningsymptomseverityinduallyinfectedplants.

3.3. GenotypingofSNPmarkersandconstructionofadense geneticmap

Inall,17,682SNPswereobtainedfromtheSNPcallingpipeline.

TheSNPdataweresubsequentlyfilteredformarkerswithmore

than20% missingvalues acrossthegenotypedindividuals. Also

removedwerelocithatdeviatedfromtheexpectedgenotypic

fre-quenciesatChi-squaresignificancethresholdofP<0.05.Linkage

analysiswasdoneusing8704SNPsthatpassedthesetwoQCfilters.

A high-density genetic linkage map was constructed using

theMaximum-LikelihoodapproachimplementedinJoinmap4.1

(Table3).A totalof 6756SNPmarkersweremappedacross19

linkagegroupswithbetween115and559SNPs(average=256).

Withanaverageinter-SNPdistanceof0.52cM,thisisthedensest

mapdevelopedforcassavasofar(Fig.2).Despitethehighdensity

oftheGBS-derivedSNPsmapped,severalregionswithout

mark-erswereobserved.Mostnotablewereasingleregiononlinkage

250 200 150 100 50 0 Chromosome Location (cM) 1 2 2.2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Genetic map

Fig.2. Overviewofgeneticmapdevelopedfromthe6756ApeKI-derivedSNPs.

group4andtworegionsinlinkagegroup18. Apossiblereason

forsuchgapscouldbelackofpolymorphicmarkersasaresultof

identity-by-descentofthisregioninthetwoparents.

Mostofthe12,977scaffoldsthatconstitutethecurrent533Mb

oftheversion4.1cassavagenomeassemblyarefairlysmall;nearly

95%ofthemare200Kborsmaller.Atotal of1093unique

scaf-foldswereanchoredinthepresentmap,andrangedfrom19to

89inthedifferentlinkagegroups.Despitetheirrelativelysmall

number,theanchoredscaffoldscoveredatotalsizeof313.3Mb,

andaccountedfor58.7%ofthecurrentcassavagenomeassembly.

Thecompletegeneticmapdevelopedfromthisworkisavailablein

SupplementaryTable1.

3.4. High-resolutionmappingofCMDresistancelocus

Based onthequalitative natureof theresistanceto CMDin

thepresentmappingpopulation,a singlelocuswasexpectedto

underlietheresistancephenotype.Thehigh-densitygeneticmap

developedwith6756GBSSNPspermittedagenome-widesearch

Table3

SummarystatisticsofthegeneticlinkagemapdevelopedfromApekISNPmarkers.

Linkagegroup NumberofSNPs Length(cM) Averagedistances(cM) Numberofscaffoldsanchored Cumulativescaffoldsize(base-pairs)

1 473 242 0.51 66 30,226,735 2 344 195 0.57 52 20,822,503 2.2 366 175 0.48 59 20,298,754 3 419 168 0.40 55 12,608,655 4 255 194 0.76 57 13,843,915 5 543 230 0.42 61 15,175,445 6 275 182 0.67 73 15,911,788 7 559 256 0.46 66 21,949,504 8 454 222 0.49 78 18,054,518 9 207 72 0.35 19 6,148,875 10 299 148 0.50 55 15,132,961 11 304 203 0.67 41 13,797,633 12 115 99 0.87 21 6,111,492 13 302 200 0.67 60 17,048,413 14 543 242 0.45 89 19,282,711 15 451 225 0.50 49 18,831,996 16 281 152 0.54 64 16,048,872 17 275 156 0.57 70 17,372,231 18 291 154 0.53 58 14,665,500 Total 6756 256a 0.52a 1093 313,332,501

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Fig.3. Single-markerassociationwithqualitativeresistancetoCMD.(a) Genome-wideP-valuesfor6756SNPsacross19linkage groupsshowingthestrongest associationsignalwaslocatedinlinkagegroup16.Thex-axisshowstheSNPsalong eachchromosome;y-axisisthe−log10(P-value)fortheassociation.(b)An asso-ciationplotforlinkagegroup16showingSNPsthatareinformativeinresistant (IITA-TMS-011412)andsusceptible(IITA-TMS-4(2)1425)parents.TheSNPsfrom scaffold5214withstrongestassociationtoresistancephenotypearehighlighted.

forthelocusunderlyingthequalitativeresistancetoCMD.Astrong

associationwasdetectedinlinkagegroup16thatpeakedataround

69.12cM(Fig.3).Thisassociationdecreasesonbothsidesofthe

peakasaresultofincreasingrecombinationbetweenthe

mark-ersandtheunderlyingresistancegene.MostSNPsshowinghighly

significantassociation (P<1E−40) came from the1.46Mb-long

scaffold5214,withmarkerS5214780931atthepeak;thismarker

explained74%ofthediseaseresistancevariance.Additionally,only

thoseSNPsthatareinformativeintheCMD-resistantfemaleparent

showthesignificantassociationswhilethosesegregatingonlyin

thesusceptiblemaleparentdonot(Fig.3).Thepresentlymapped

resistancelocusoccursin thevicinityofthepreviouslymapped

CMD2locus (Akano et al., 2002); marker S5214780931 is just

623.24kbaway froma microsatellitemarker,SSRY28(between

157,470bpto157,616bp), thatwasfirst reportedtobe closely

linkedtotheCMD2locus(Akanoetal.,2002),indicatingthatthe

samegenemayaccountfortheobservedresistancetoCMDinthe

presentmappingpopulation.

The results from the interval-mapping based QTL analysis

recapitulated those from single-marker trait associations, and

uncovered a singlepeak witha maximum LOD valueof 43 on

linkage group 16 (Supplementary Fig. 1). Despite employing

the Composite Interval Mapping method, no additional peaks

exceedingthe significance thresholdwere detected,confirming

thatonlyasinglelocusconferredthequalitativeresistanceinthe

presentpopulation.TheSNPmarkerS5214780931isflankedby

S5214472282andS52141084049wastheclosesttotheQTLpeak

qualitativeresistanceagainstCMD

Amajorobjective ofthepresentstudywastousethe

high-density SNP genetic map to anchor seven molecular markers

previouslyreportedtobelinkedtosingledominantgeneresistance

toCMDinfourothergeneticbackgrounds(Table1).TheSSRand

RFLPmakersusedinthosestudieswerethereforeanchoredinthe

presentmapviatheirharbouringscaffolds.Thesemarkerscame

fromscaffold05214(SSRY28),scaffold06906(NS158andNS169),

scaffold04175(NS198)andscaffold07933(SSRY106)allofwhich

fallwithinthesamegenomicregionoflinkagegroup16ofthe

presentmap(Fig.4).TheprimersequencesfortheRFLPmarker

RME-1didnotidentifyasuitablematchinthereferencegenome.

Inaparallelstudyusinganotherbi-parentalmappingpopulation

derived froma crossbetweenanotherimprovedvarietythat is

nearlyimmunetoCMD(IITA-TMS-961089A)andasusceptible

lan-drace(TME117),anotherSNPmarkerwasidentifiedfromthesame

scaffold(S521430911).It wasstrongly associatedwiththe

dis-easeresistanceandexplained60%ofphenotypicvariation(Rabbi

etal.,inpress).Thereportedpercentageofvariationexplainedby

thesemarkersshowsagradientthatpeaksaroundscaffold05214,

theregionthatislikelytocontaintheconcernedresistancegene

(Fig.4).Markersawayfromthisregionhavebeenreportedtobeless

linkedtotheresistancegenebythelowpercentageofvariationthat

theyexplain,atrendthatagreeswiththeGWAresults,particularly

consideringthesegregatingmarkersfromthefemaleparent(Fig.3).

3.6. Recombinationpatterninlinkagegroup16

Tovisualizethedegreeoflinkageandrecombinationpattern

betweenthepresentlymappedCMDresistancelocusandother

previously publishedSSRmarkers along the linkagegroup,the

chromosome-widepatternofLDonlinkagegroup16wasexamined

(Fig.4).Theresultinghaplotypemapisusefulinprovidinga

frame-workforinterpretingtheresultsofthepreviousmappingstudies,

particularlytheproportionofphenotypicvariationexplainedby

the various microsatellite markers and their relative locations

in the present map. Though different parents are used in the

presentandpreviousmappingstudies,thesepopulationshaveall

Table4

MarkersflankingthepresentlymappedCMDresistancelocuscalculatedfromdiseaseseverityscoredatone-andthree-monthsafterplanting.Thetablealsopresentsthe linkagegroup,positionandintervalmapping-basedpercentageofphenotypevariationexplainedbytheclosestmarker.

Trait SNP Linkagegroup Position(cM) PeakLODa R2 H2

CMD1Sb S52141084049 16 68.88 45.37 0.708 0.892 S5214780931 16 70.00 45.59 S5214472282 16 70.74 44.99 CMD3Sb S52141084049 16 68.88 42.98 0.696 0.928 S5214780931 16 69.31 43.20 S5214 472282 16 70.74 42.33

aLogarithmofoddsscoreforpresenceofQTL.

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Fig.4.Graphicaldisplayofthevariationinthelinkagedisequilibrium(r2)alonglinkagegroup16calculatedforeverypairofSNPsinthebi-parentalmappingpopulation (left);andthegeneticmap(right).ThelocationofthemappedCMDresistancelocus(underlinedSNP,viz.S5214780931)inscaffold05214relativetoSSRsotherscaffolds (S7933,S4175andS6906)containingmicrosatellitemarkersreportedtobelinkedtoresistancetoCMDisshownontheright.Thepercentageofphenotypicvariation explainedbythe(PVE,measuredbyr2)arealsopresented.ThedarkshadingcorrespondstostrongerLD(higherr2).NamesofotherSNPsinthelinkagegroupwereomitted duetospaceconstraints;butareavailableintheSupplementary(SupplementaryTable1).

undergoneasingleroundofmeiosisandarethusexpectedtohavea

similarextentoflinkagedisequilibriumacrosstheirchromosomes.

TheregionbearingtheCMDresistancelocuswascharacterized

bytwolargehaplotypeblocks(dark-greyshadingbetween0to

32cMand36to62cM,respectively).ModerateLDwasdetected

betweentheseblocks(light-greyshading).Thefirstblock

encom-passesscaffold4175,whichharboursmicrosatellitemarkerNS198,

reportedbyOkogbeninetal.(2012)toexplain11%ofvariationin

CMDresistanceinabi-parentalpopulation.SNPsfromthis

scaf-foldandthoseneartheCMD2locusinscaffold05214alsoshow

moderateLD(r20.10).

TheCMDresistancelocusoccursinthesecondLDblock.

Scaf-fold5214harbourstheSNPsthatwerestronglyassociatedtothe

resistanceaswellasthemicrosatellitemarkerSSRY28reported

previously(Akano etal., 2002).Thoughdiscovered from

differ-entgeneticbackgrounds,theresistance-linkedSNPsandSSRY28

explainbetween60%and70%ofthediseaseresistancevariance.

Thesemarkersarejust 623.24kbapart.Anotherscaffoldin this

block(07933)whichharboursmicrosatellitemarkerSSRY106,was

reported to explain nearly 40% of variation in CMD resistance

(Lokkoetal.,2005).

3.7. GeneticrelatednessofCMD-resistantlandracesusing genome-wideSNPs

Inadditiontogeneticmappingofthebi-parentalpopulation,

cluster analysis was performed with key landraces known to

possessstrongresistancetoCMD(Fig.5).Toestimatethe“residual

geneticdistance”betweenidenticalclonesresultingfrom

genotyp-ingerror,severalclones–someofwhichhavedifferentnamesas

aresultofadoptionindifferentregions–wereredundantly

geno-typed.Thesepairsincludethemaleparent(IITA-TMS-4(2)1425)

and“Kibandameno-white”;IITA-TMS-30572knownas“Migyera”

in Uganda; and TME12 (A and B). Most of the CMD resistant

landraces,includingthosethat werefirstdiscovered inNigeria,

areclearlyverycloselyrelated,orevenperhapsidentical,based

oncomparison ofthe distancebetween them and theresidual

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R_TME282 S_TME399 S_TME379 R_TME5 R_TME4 R_TME6 R_TME14 R_TME7 R_TME12 R_TME3 R_TME11 S_TME693 S_TME237 S_TME279 R_TME9 S_TME117 S_TME778 R_TME8 S_TME207 R_TME13 KIBANDAMENO_WHITE IITA_TMS_4.2.1425 dist

Fig.5.Ahierarchicalclusteringtreebasedondissimilaritiesbetweenaselectionof landracesusingof2069SNPmarkers.MostofthelowerTMEserieslandracesthat areresistanttoCMDformasingle,tightcluster(bottom).Theprefix“R”denotes CMD-resistantand“S”denotesCMD-susceptiblevarieties.

previousstudiesusingAFLPs(Fregeneetal.,2000).Theselandraces

(TME3,TME4,TME6,TME7,TME11,TME12and TME14)have a

verysimilarmorphologicalappearance,mostprominentofwhich

isredpetioles.

4. Discussion

4.1. Ahistoricalperspectiveofdevelopmentanddiffusionofearly CMDresistantvarietiesacrossofAfrica

BreedingforresistancetoCMDhasbeenamajorgoalofcassava

improvementprogrammesinAfricaformorethan70years.Priorto

thediscoveryofthesingle-generesistance(Akanoetal.,2002),the

primarydefenceagainstthediseasewasthepolygenicresistance

introgressedintocultivatedcassava(M.esculenta)fromM.glaziovii

afterthreecyclesofbackcrossing(Nichols,1947).Examiningthe

breedinghistoryofimprovedvarietieswiththequantitative

resis-tancetoCMDrevealsaverynarrowgeneticbasetracingbacktoa

singlederivativeoftheM.glaziovii×M.esculentacrosses(Jennings,

2003). None of these descendants is immune to infection by

CMGs(Nichols,1947)althoughsomeexpressmildandsometimes

transientsymptomsasaresultofincompletesystemicinfection

thatleadstoreversionofsymptoms(Jennings,1976;Fargetteetal.,

1994),whileothersarequitesusceptibletothedisease.TheseTMS

varietiesthattracebacktoM.glazioviihavebeenwidelyadopted

inAfricaandhelpedrevivecassavafarmingfollowingthe

devas-tationofmany locallandracesin EastAfrica(Leggand Fauquet

2004).Someof theadopted TMSvarietiesare IITA-TMS-60142,

densegeneticmapobtainedfromGBShasenabledahigherlevelof

mappingresolutionoftheCMDresistancelocus.Linkagegroup16

hasatotalof281SNPs,andtheapproximate95%Bayesiancredible

intervalaroundthemappedlocusisjust1.1cM.Thisresolutionwas

notobtainableusingthetraditionalmarkerfrompreviousmapping

efforts.

4.3. Allmarkerslinkedtoqualitativeresistanceoccurinthesame chromosomeregion

Thehigh-densitySNPgeneticmapwasusedtoanchormarkers

previouslyreportedtobelinkedtothedominantmonogenic

resis-tancetoCMD.Thesemarkers(Table1)wereinterpolatedinthe

presentmapviathescaffoldsthatharbourthem.Allofthem(except

RME1andRME4forwhichasuitablematchesinthecurrent

ref-erencegenomewerenotfound)camefromscaffoldsoccurringin

thesameregionoflinkagegroup16.Overall,thereisageneral

con-gruencebetweentheproportionofgeneticvariationreportedfor

thesemicrosatellitemarkers,themarker-traitassociationprofilein

linkagegroup16(Fig.3)andthepatternoflinkagedisequilibrium

(measureasr2)betweenmicrosatellitelocationsandtheputative

positionoftheresistancelocusinthepresentpopulation(Fig.4).

Thispatternsupportstheideathatmostofthemicrosatellite

mark-ersreportedtobelinkedtovaryingdegreeswithCMDresistance

areassociatedwithasingleresistancelocusthatismostlikelythe

CMD2gene.Moreover,thestrengthofthelinkagedecreasedwith

increasingdistancefromthegenelocation.Inaparallelmapping

studyusinganotherimprovedvarietythat isnearlyimmuneto

CMD(IITA-TMS-961089A)andasusceptiblelandrace(TME117),a

strongQTLsignalwasfoundinscaffold05214thatalsoexplained

60%ofresistancevariation,implicatingthesameCMD2locus(Rabbi

etal.,inpress).Consideringtheresultsofthepresentstudyand

thoseofAkanoetal.(2002),Okogbeninetal.(2012),andLokko

etal.(2005),itishighlylikelythatathereisasinglegene,ora

clusterofresistancegenes(MichelmoreandMeyers,1998).

Indeed,theconservationofQTLpositionsamongthedifferent

sourcesofCMDresistanceisnotsurprisinggiventhatthemajority

ofthehighlyresistantcultivarsdevelopedrecentlyinAfricatrace

toafewlandraceaccessionsfromNigeriathatwereusedoverthe

last12orsoyearsofresistancebreedinginwhichthemeritsof

theTMEmaterialswereappreciated.Accordingtothephylogeny

(Fig.5)itwasconfirmedthatseverallandracesthatwerefirst

dis-coveredtobenearlyimmunetoCMDweregeneticallyverysimilar.

Thesefindingsagreewithapreviousstudy(Fregeneetal.,2000).

Otherduplicates,whicharealsomorphologicallyverysimilar,were

identified.TheselandraceswerecollectedfromSouthWestand

CentralNigeriaandhavedifferentlocalnames.Theresistanceinthe

landraceTME9,whichalsooccursinaseparatecladeonthe

phy-logenetictree,islikelytobeCMD2.Thislandracesisfoundinthe

pedigreeofIITA-TMS-961089Athatwasusedinaparallelmapping

study;resistance-linkedmarkersalsocamefromscaffold05214

(Rabbietal.,inpress).Itispostulatedthatalloftheselandraces,

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mutantthatwasselectedbyfarmersandrapidlydiffusedinthe

regionthroughvarietaldisseminationefforts.

4.4. Screeningofcassavamosaicgeminivirusesinthemapping population

TheCMGscreening resultsshowedthatACMVwasthe

pre-dominantspeciesinthefield,whereasEACMVoccurredatlower

frequencyandonlywithACMVasadualinfection.The

preponder-anceofACMVreflectstheknownproportionsofthetwovirusesin

WestAfricaandcontrastswiththepredominanceofEACMV-UGin

thepandemicregionsofEasternAfrica(LeggandFauquet,2004).

ThesevereformofEACMV-UGhasdisplacedotherCMGspeciesand

strainsduringtherecentpandemicthatsweptthroughtheregion

(Leggetal.,2006).Animportantquestioniswhetherthe

CMD2-typeofresistanceavailableintheWest-Africancassavagermplasm

canprotectagainstthesemorevirulentstrainsofCMGthatdoes

notcontributetothediseasepressureinWestAfrica.Germplasm

screeninginUgandahavedemonstratedthatthequalitative

resis-tancelocusintheTMElandracesishighlyeffectiveagainstthisvirus

(Kawukietal.,2011).Similarresultshavebeenobtainedthrough

biolisticinoculationmethodsusing-pseudorecombinantsofACMV

and EACMV(Sserubombwe et al.,2008).Some of thescreened

clonesincludeTME5andTME14,whichclustertogetherwithTME3,

theoriginalsourceoftheCMD2locus(Fig.5).Theevidencesuggests

thatCMD2locusisamonogenicresistancewithbroadspecificity

againstcassava-infectinggeminiviruses.

4.5. Prospectsforlong-termefficacyofCMD2resistancegene

Despite the apparent broad specificity of the CMD2 gene,

whetherthelocuscanconferdurableresistanceaccordingtothe

classical definition(Johnson, 1984) depends onwhetherit will

remaineffectiveoveraprolongedperiodofwidespreaduseunder

conditionsconducivetothedisease.Itiswellknownthat

mono-genicresistancecanbeephemeralandsubjectedtothewellknown

boom-and-bustcycles(McDonaldandLinde,2002)asaresultof

therapidgeneticevolutioninthepathogenthoughthereis

evi-dence of durable resistancefrom singlegene actions (Johnson,

1984;Stuthmanetal.,2007).Sinceitsdiscoveryinthe1980sand

subsequentextensiveuseinbreedingprogrammesinsub-Saharan

Africa,therehasbeennoreportofbreakdownoftheCMD2-type

ofresistanceinthefield,indicatingthatthelocuscouldbedurable

againstCMGs.Still,thelong-termeffectivenessoftheresistance

locusneedstobeaugmentedbycombiningitwiththe

quantita-tiveresistancederivedfromM.glaziovii.Indeed,crossescombining

thesetwotypesofresistancehavegiven risetoprogeny which

arenearimmunetoallknownCMGspecies,includingthevirulent

EACMV-Uganda(LeggandFauquet,2004;Mondeetal.,2012).

Addi-tionally,moreeffortsareneededforacomprehensivescreeningof

theresistantlandracestoidentifyanyadditionalsourcesthatmay

exist.Thoughincreasedresolutionwasachievedinthemapping

analysis,alargermappingpopulationisrequiredforfine-mapping

andcloningoftheconcernedlocus.Thiswillprovideinsightsonthe

mechanismoftheresistancethatsofarseemstobehighlyeffective

againstvariousCMGspecies.

Acknowledgments

ThisresearchwassupportedbytheCGIAR-ResearchProgramme

onRoots,TubersandBananasandthe“NextGenerationCassava

BreedingProject”,throughfundingfromtheBill&MelindaGates

Foundation and theDepartment for International Development

of theUnitedKingdom. We acknowledgethehelp of Charlotte

Acharya for preparation of GBS libraries and sequencing, and

OluwafemiAlabaforsamplepreparationandDNAextraction.

AppendixA. Supplementarydata

Supplementarymaterial related tothis articlecan befound,

in the online version, at http://dx.doi.org/10.1016/j.virusres.

2013.12.028.

References

Akano,A.,Dixon,A.,Mba,C.,Barrera,E.,Fregene,M.,2002.Geneticmappingofa dominantgeneconferringresistancetocassavamosaicdisease.Theor.Appl. Genet.105,521–525.

Alabi,O.J.,Kumar,P.L.,Naidu,R.A.,2008.MultiplexPCRmethodforthedetectionof AfricancassavamosaicvirusandEastAfricancassavamosaicCameroonvirusin cassava.J.Virol.Met.154,111–120.

Barrett,J.C.,Fry,B.,Maller,J.D.M.J.,Daly,M.J.,2005.Haploview:analysisand visual-izationofLDandhaplotypemaps.Bioinformatics21,263–265.

Bland,J.M.,Altman,D.G.,1995.Multiplesignificancetests:theBonferronimethod. Br.Med.J.310,170.

Bradbury,P.J.,Zhang,Z.,Kroon,D.E.,Casstevens,T.M.,Ramdoss,Y.,Buckler,E.S.,2007. TASSEL:softwareforassociationmappingofcomplextraitsindiversesamples. Bioinformatics23,2633–2635.

Broman,K.W.,Wu,H.,Sen, ´S.,Churchill,G.A.,2003.R/qtl:QTLmappingin experi-mentalcrosses.Bioinformatics19,889–890.

Ceballos,H.,Iglesias,C.A.,Pérez,J.C.,Dixon,A.G.,2004.Cassavabreeding: opportu-nitiesandchallenges.PlantMol.Biol.56,503–516.

Cheema,J.,Dicks,J.,2009.Computationalapproachesandsoftwaretoolsforgenetic linkagemapestimationinplants.Brief.Bioinform.10,595–608.

Dellaporta,S.L.,Wood,J.,Hicks,J.B.,1983.AplantDNAminipreparation:versionII. PlantMol.Biol.Rep.1,19–21.

Duffy,S.,Holmes,E.C.,2009.Validationofhighratesofnucleotidesubstitutionin geminiviruses:phylogeneticevidencefromEastAfricancassavamosaicviruses. J.Gen.Virol.90,1539–1547.

Elshire,R.J.,Glaubitz,J.C.,Sun,Q.,Poland,J.A.,Kawamoto,K.,Buckler,E.S.,Mitchell, S.E.,2011.Arobust,simplegenotyping-by-sequencing(GBS)approachforhigh diversityspecies.PLoSOne6,e19379.

Fargette,D.,Jeger,M.,Fauquet,C.,Fishpool,L.D.C.,1994.Analysisoftemporaldisease progressofAfricancassavamosaicvirus.Phytopathology84,91–98. Flint-Garcia,S.A.,Thornsberry,J.M.,Buckler,I.V.E.S.,2003.Structureoflinkage

dis-equilibriuminplants.Annu.Rev.PlantBiol.54,357–374.

Fregene,M.,Bernal,A.,Duque,M.,Dixon,A.,Tohme,J.,2000.AFLPanalysisofAfrican cassava(ManihotesculentaCrantz)germplasmresistanttothecassavamosaic disease(CMD).Theor.Appl.Genet.100,678–685.

Fregene,M.,Okogbenin,E.,Mba,C.,Angel,F.,Suarez,M.C.,Janneth,G.,etal., 2001.Genomemappingincassavaimprovement:challenges,achievementsand opportunities.Euphytica120,159–165.

Harrison,B.D.,Zhou,X.,Otim-Nape,G.W.,Liu,Y.,Robinson,D.J.,1997.Roleofanovel typeofdoubleinfectioninthegeminivirus-inducedepidemicofseverecassava mosaicinUganda.Ann.Appl.Biol.131,437–448.

Herrera-Campo,B.V.,Hyman,G.,Belloti,A.,2011.Threatstocassavaproduction: knownandpotentialgeographicdistributionoffourkeybioticconstraints.Food Sec.3,329–345.

Jansson,C.,Westerbergh,A.,Zhang,J.,Hu,X.,Sun,C.,2009.Cassava,apotential biofuelcropin(the)People’sRepublicofChina.Appl.Energy86,S95–S99. Jennings,D.L.,1976.BreedingforResistancetoAfricanCassavaMosaicDisease:

ProgressandProspects.In:InterdisiplinaryWorkshop.IDRC,Muguga(Kenya). Jennings,D.L.,2003.Historicalperspectiveonbreedingforresistancetocassava

BrownStreakVirusDisease.In:Hillocks,R.J.(Ed.),CassavaBrownStreakVirus Disease:Past,Present,andFuture.ProceedingsofanInternationalWorkshop. Mombasa,Kenya,27–30October2002.NaturalResourcesInternationalLimited, Aylesford,UK,p.100.

Jansen,J.,deJong,A.G.,vanOoijen,J.W.,2001.Constructingdensegeneticlinkage maps.Theor.Appl.Genet.102,1113–1122.

Johnson,R.,1984.Acriticalanalysisofdurableresistance.Annu.Rev.Phytopath.22, 309–330.

Kawuki,R.S.,Pariyo,A.,Amuge,T.,Nuwamanya,E.,Ssemakula,G.,Tumwesigye,S., Bua,A.,Baguma,Y.,Omongo,C.,Alicai,T.,Orone,J.,2011.Abreedingschemefor localadoptionofcassava(ManihotesculentaCrantz).J.PlantBreed.CropSci.3, 120–130.

Legg,J.P.,Fauquet,C.M.,2004.CassavamosaicgeminivirusesinAfrica.PlantMol. Biol.56,585–599.

Legg,J.P.,Ogwal,S.,1998.ChangesintheincidenceofAfricancassavamosaic gemi-nivirusandtheabundanceofitswhiteflyvectoralongsouth–northtransectsin Uganda.J.Appl.Entomol.122,169–178.

Legg,J.P.,Owor,B.,Sseruwagi,P.,Ndunguru,J.,2006.Cassavamosaicvirusdiseasein EastandCentralAfrica:epidemiologyandmanagementofaregionalpandemic. Adv.VirusRes.67,355–418.

Li, H., Durbin, R., 2009. Fast and accurate short read alignment with Burrows–Wheelertransform.Bioinformatics25,1754–1760.

(10)

Pfl.45,2189–2201.

Nichols,R.F.W.,1947.Breedingcassavaforvirusresistance.EastAfr.Agric.J.12, 184–194.

Okogbenin,E.,Egesi,C.N.,Olasanmi,B.,Ogundapo,O.,Kahya,S.,Hurtado,P.,etal., 2012.Molecularmarkeranalysisandvalidationofresistancetocassavamosaic diseaseinelitecassavagenotypesinNigeria.CropSci.52,2576–2586.

Amsterdam,pp.319–367.

VanOoijen,J.W.,2006.JoinMap4.SoftwarefortheCalculationofGeneticLinkage MapsinExperimentalPopulations.KyazmaBV,Wageningen,Netherlands. Vazquez,A.I.,Bates,D.M.,Rosa,G.J.M.,Gianola,D.,Weigel,K.A.,2010.Technicalnote:

anRpackageforfittinggeneralizedlinearmixedmodelsinanimalbreeding.J. Anim.Sci.88,497–504.

Figure

Fig. 1. CMD symptom on the mapping population parents, (a) IITA-TMS-011412 and (b) IITA-TMS-4(2)1425; (c) The frequency distribution of CMD scores using the BLUPs calculated from the three-year data.
Fig. 2. Overview of genetic map developed from the 6756 ApeKI-derived SNPs.
Fig. 3. Single-marker association with qualitative resistance to CMD. (a) Genome- Genome-wide P-values for 6756 SNPs across 19 linkage groups showing the strongest association signal was located in linkage group 16
Fig. 4. Graphical display of the variation in the linkage disequilibrium (r 2 ) along linkage group 16 calculated for every pair of SNPs in the bi-parental mapping population (left); and the genetic map (right)
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References

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