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Thecurrentmodelofregularfruitsetimpliesthatovary Thecurrentmodelofregularfruitsetimpliesthatovary

Thecurrentmodelofregularfruitsetimpliesthatovary - PDF document

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Thecurrentmodelofregularfruitsetimpliesthatovary - PPT Presentation

growthisblockedbeforepollinationandthatauxinisa keyregulatorofovarygrowthderepressionatfruitset Goetzetal2007Pandolfinietal2007Auxinrespon siveproteinIAA9andauxinresponsefactorARF8repress ovar ID: 487336

growthisblockedbeforepollinationandthatauxinisa keyregulatorofovarygrowthde-repressionatfruitset (Goetzetal.2007;Pandolfinietal.2007).Auxinrespon- siveproteinIAA9andauxinresponsefactorARF8repress ovar

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Thecurrentmodelofregularfruitsetimpliesthatovary growthisblockedbeforepollinationandthatauxinisa keyregulatorofovarygrowthde-repressionatfruitset (Goetzetal.2007;Pandolfinietal.2007).Auxinrespon- siveproteinIAA9andauxinresponsefactorARF8repress ovarygrowthbeforefertilisation.Followingpollinationin raspberrythereisaperiodofrapidgrowthduetocell division.Thisisfollowedbyaperiodofslowgrowth duringwhichtheembryodevelopsandtheendocarp becomeshardened,untilfinallycellenlargementresults inaperiodofrapidgrowth.Otherphytohormones (giberellin,cytokinin,brassinosteroids,ethyleneand abscisicacid)playaroleinfru itinitiationanddevelop- ment(SchwabeandMills1981;Vriezenetal.2008). Delayeddifferentiationoftheembryosachasbeenassoci- atedwithlowdrupeletsetinsomeclonesofthediploid cultivarSumner.ThecultivarLathamcanalsoshowa crumblyphenotypeandthisisthoughttobeduetomuta- tionofthedominantalleleataheterozygousgenelocus causingplantstobecomehomozygousforadeleterious recessivegene(Jennings1967b).InSumnerithasbeen suggestedthattheeffectsontheembryosacandalsothe reducedproductionoffertilepollenarecausedbya mutationgivinghomozygosityfortworecessivegene pairs(Daubenyetal.1967). Jennings(1967a)suggestedthatincultivarNorfolk Giantembryosacdevelopmentceasedatanearlystage. Jennings(1971)alsosuggestedthatanoptimumstatus foramaternalgrowthsubstancewasrequiredforgood fruitsetandseeddevelopment.Howevertherewasevi- dencethatthestrengthofmaternaleffectswasconsider- ablyinfluencedbyenvironmentalfactors. Fromacv.Lathamself,Jennings(1967b)demonstrated thatseedlingsobtainedcouldbeclassifiedintothree groups:normal,crumblyandsterile.Heproposedamodel oftwogeneticloci,designated St foronewhoserecessive formgivescompletesterilityand Cr whoserecessiveform givescrumblyfruit,toexplainthe9:3:4segregationratio obtainedofnormal(StCr):crumbly(Stcr):sterile(stCror stcr)as st isepistaticto Cr.Cr werepostulatedtobe linkedto GeneH (pubescentcanes)andalso geneT (fruit colour)(Jennings,1988). GeneH hasbeenidentifiedin raspberryonlinkagegroup2(Grahametal.2006)anda QTLforfruitcolourwasalsoidentifiedcloseto GeneH (McCallumetal.2010).Thismaysuggest Cr isasJennings suggestedalsoonthischromosome. Thisworksetouttoexaminewhetherthecrumbly fruitsyndromesegregatedinapopulationusingLatham asoneparentandtoexaminetheseasonalandenviron- mentalimpactonexpressionofthecrumblytraitand identifyQTLassociatedwiththecrumblyphenotype.It alsosetouttoidentifyanyassociationwiththe GeneH regionandimpactofgenesforfertilityonthetrait. Resultsanddiscussion Phenotypicscoring Overaperiodof7fruitingseasonswehaveinvestigated thesegregationofcrumblyfruitsyndromeinaLathamx GlenMoycross.Theresultsshowacomplexpatternof two ‘ crumbly ’ phenotypesbasicallydifferinginseverity, oneofwhichmaybethesterilephenotypeproposedby Jennings(1967b).Table1showstheproportionofthe offspringwithcrumblyfruitforeachyearandenviron- ment.Thehighestproportionoccurredinthefieldin 2011,where73%oftheoffspringhadcrumblyfruit. Thelowestproportionofcrumblyfruitinthefieldwas in2008,whereonly4%werescoredascrumbly.The proportionsofcrumblyfruitwerealwayslowerinthe polytunnelthaninthefield,rangingfrom22%in2010 to1%in2008.In2010thecrumblyandsterilepheno- typeswerescoredseparately,forasinglereplicateofthe 188linesofthemappingpopulation.Inthefield,115 werescoredasnormal,50ascrumblyand15assterile, with8missingscores.Inthepolytunnel,117were scoredasnormal,29ascrumblyand5assterile,with37 missingscores.Comparingthetwoenvironments,87 werescoredasnormalinbothfieldandpolytunnelin 2010,15werescoredascrumblyinbothenvironments and3werescoredassterileinbothenvironments.In viewofthesmallnumberofplantsclassedas ‘ sterile plants ’ andthelackofagreementinscoringthisbetween environmentswehavecombinedthesterileandcrumbly classesinfurtheranalyses. Table2showsgammastatisticsmeasuringassociations betweenthefieldcrumblyscoresforthedifferentyears. Thepolytunnelscoreswereexcludedhereduetothe Table1 Proportionoftheoffspringwithcrumblyfruit YearEnvNo.scoredProportioncrumblyfruits.e. 2004FieldA940.540.051 2004FieldB940.310.048 2007FieldA1880.270.032 2007Poly1880.090.021 2008FieldA1880.040.015 2008Poly1880.010.007 2009FieldA1880.320.036 2009Poly1880.040.007 2010 a FieldA1800.360.036 2010 a Poly1530.220.034 2011FieldA1680.730.035 2012FieldA1420.640.040 Severity(0 – 4)means.e. 2011FieldA1681.160.077 2012FieldA1421.160.093 2009valuesarebasedon3replicates,othersonone.s.e.=standarderror a 2010showstheproportionofeithercrumblyorsterilefruit Graham etal.SpringerPlus (2015) 4:223 Page2of9 lowincidenceofcrumbliness.Thegammastatistics showedthattherewerenosignificantassociations( p � 0.05)ofotheryearswiththe2008scores,whichhadthe lowestlevelofcrumbliness.Theassociationsofother yearswiththe2004scores,whichwerebasedonMP1 only,werealsogenerallysmall.Theassociationsamong thescoresonMP1andMP2in2007,2009,2010,2011 and2012wereallhighlysignificant(gamma  0.67, p 0.001),withaparticularlyhighgammastatisticof0.99 betweentheseverityscoresin2011and2012. Noprogenywerealwaysscoredascrumbly,though somewereassessedasbeingcrumbly75%ormoreof thetimesscored.Someindividualsneverexhibitedthe crumblyphenotype.Thecrumblyphenotypewasalways moresevereundertheopenfieldconditionsthaninthe polytunnelandvariedsignificantlyfromseasontoseason, accordingtotheoveryearsandsitesanalysis.Aswellas theenvironmentalandseasonaleffect,theagreementover yearsmeasuredbythegammascoresindicatedastrong geneticeffectforthecrumblytrait.MetOfficemonthly weatherdatawasexaminedonmaximumandminimum temperature,frost,rainandsunshinebutnoassociations couldbeidentifiedbetweenweatherconditionsandextent ofthecrumblyconditionacrossseasons.Forexamplein thetwosevereseasons2004and2012theweathercondi- tionswereverydifferent,with2004beingawarmdrysea- sonand2012coolerandwetter.Therewasalatespring frostin2012whichdidnotoccurin2004.In2008where littlecrumblyfruitoccurred,themajordifferencewasin theamountofrainfallattheopenflowerstage. LinkagemappingandQTLanalysis MappingandQTLanalysis Basedonpermutationtests,athresholdof13.8forthe Kruskal-Wallis(KW)statisticwithonedegreeoffree- domwasused,correspondingtoagenome-widesignifi- canceof p =0.05.TheKruskal-Wallisanalysisindicated associationsabovethisthresholdofthecrumblyphenotypes withmarkersonLG1forthefieldscoresin5ofthe7 seasonsanalysed(2007,2009,2010,2011and2012).No significantassociationswiththisregionweredetected inthefieldtrialsin2004(thefirstfullfruitingyear)or in2008,whentheincidenceofcrumblywasverylow (4%),orwithanyofthepolytunneltrials,whichhada muchlowerincidenceofthecondition.Themostsig- nificantregionincludedmarkerRUB256e,anSSRwith fouralleles(abinLatham,cdinGlenMoy)at101cM, althoughtypicallymarkersbetween90cMand110cM weresignificant.Figure1showsthelinkagemapofLG 1,withthemostsignificantmarkerindicatedalongwith one-LODsupportintervalsfortheseverityscores. Table3showstheresultsofmodellingtherelationship betweeneachofthecrumblytraitsandthismarker, usingageneralisedlinearmodelwithbinomialerrors andalogitlinkfunctionforthebinaryscoresanda normalmodelfortheseverityscores,andexpressing themarkereffectsasadditiveeffectsofeachparentto- getherwithadominanceeffect,asdefinedinequation(1). Forthefieldscoresfrom2007,2009,2010,2011and2012 (iewheretheKruskal-Wallistestwasabovethegenome- widepermutationthreshold),theadditiveeffectofthe Lathamparentwassignificant( p 0.001)intheGLM,but theadditiveeffectoftheMoyparentandthedominance effectwerenotsignificant( p �0.05).Foreachofthese traitsthedirectionoftheeffectwasconsistent,withthe meanproportionofcrumblyfruitbeingsignificantly higherinthegenotypescarryingtheLatham ‘ b ’ allelethan inthosewiththeLatham ‘ a ’ allele.Forthefieldscores from2004andthepolytunnelscoresfrom2007and2009, theadditiveeffectoftheLathamalleleatRUB256ewas significant(0.005 p 0.05)butagaintheadditiveeffect oftheMoyparentandthedominanceeffectwerenotsig- nificant( p �0.05).Again,themeanproportionofcrumbly fruitwashigherinthegenotypescarryingtheLatham ‘ b ’ allelethaninthosewiththeLatham ‘ a ’ allele.Thelasttwo columnsofTable3showthepredictedproportionof crumblyfruitinthetwogenotypeclasses. TheKruskal-Wallisanalysisalsoindicatedassociations abovethegenome-widepermutationthresholdbetween thecrumblyscoresfromthepolytunnelin2007,2009 and2010andthefieldseverityscoresfrom2011and 2012withmarkerssegregatingonLG3,althoughthe bestmarkervariedslightly(region107-133cM).Again thesignificantmarkerssegregatedintheLathamparent. Figure2showsthelinkagemapofLG3,withthemost significantmarkerforeachtraitindicatedalongwithone- LODsupportintervalsfortheseverityscores.Themarker ERubLR_SQ05.3_D11AOCat121cMwaschosenas representativeofthisregion,onthegroundsofalow numberofmissingscores,andwasincludedtogether withRUB256efromLG1inafurtherGLMtotesttheir jointsignificance.Thesignificanceoftheadditiveeffectof Table2 Gammastatisticsforassociationsamongthecrumbly scoresfromthefieldsites 2004, FieldA 2004, FieldB 20072008200920102011 2004, FieldB 0.59* 20070.400.71** 20080.260.65  0.04 20090.62**0.54*0.97***0.34 20100.62*0.81***0.81***0.420.79*** 20110.48*0.57*0.78***0.050.70***0.78*** 20120.72***0.61*0.75***0.080.67***0.80***0.99*** 2009valuesarebasedon3replicates,othersonone.Theseverityscoresare usedin2011and2012 *** p 0.001;** p 0.01;* p 0.05 Graham etal.SpringerPlus (2015) 4:223 Page3of9 theLathamparentatmarkerERubLR_SQ05.3_D11AOC forthetraitsabovewasconfirmed,with p =0.003forthe polytunnelin2007and p 0.001fortheothertraits. ERubLR_SQ05.3_D11AOCalsoshowedalowersignifi- canceintheGLMfortraits2004FieldB( p =0.003),2010 Field( p =0.004),2011Fieldincidence( p =0.017)and 2012Fieldincidence(Field=0.011).Forallofthesetraits thedirectionoftheeffectwasconsistent,andtherewas nosignificantinteraction( p �0.05)betweenthetwo markersERubLR_SQ05.3_D11AOCandRUB256e.Table4 showsthepredictedmeanseverityscoresin2011and 2012fromtheGLMforthetwomarkerstogether,ranging from0.45to2.0. Acombinedanalysisoveryearsandsites(fieldorpoly- tunnel)wasconductedonthebinaryscores,omittingthe datafrom2004asthiswasonlyscoredontheMP1lines. Theanalysisofdeviancetablefortheincidenceofcrum- blinessisshowninAdditionalfile1:TableS1.Thisshows significanteffectsofyear,siteandtheirinteractionand significanteffectsoftheLathamparentatthemarkers RUB256eonLG1andERubLR_SQ05.3_D11AOConLG3. Therewerenosignificantinteractionsinvolvingyear, buttherewasasignificantinteractionbetweensiteand eachofthemarkers.Table5showsthemeancrumbly scoresfromtheseinteractions,withtheeffectof RUB256eonLG1beinggreateratthefieldsitesand thatofERubLR_SQ05.3_D11AOConLG3being greaterinthepolytunnelsites.Asimilarcombinedana- lysiswasconductedonthe2011and2012fieldseverity scorestogether,butnosignif icantinteractionsbetween theyearandthemarkerweredetected. Relationshipwithripening Thecrumblyscoresin2007,2009,2010,2011and2012 showedsignificantcorrelations( p 0.05)withsomeof thetimetoripeningscoresrecordedforthispopulation in2006byGrahametal.(2009),asshowninTable6. Thelargestcorrelationswerewiththetimetoreachthe fruitsetstageandthetimetoreachgreenfruit.Some crumblyscoresalsohadasignificantcorrelationwith thetimetoreachthegreen/redstage,butthetimeto reachtheopenflowerstagewasnotcorrelatedwiththe crumblyscores.Thecorrelationswerepositivei.e.the proportionofcrumblyfruitincreaseswiththetime takentoreachfruitsetandgreenfruit.Ripeningisalso associatedwithmanymarkersonLG3includingthere- gionidentifiedabove(Grahametal.2009).AGLMwith markersERubLR_SQ05.3_D11AOCandRUB256eand timetofruitsetwasinvestigatedusingall-subsetregression toidentifythemostsignificantexplanatoryvariablesfor eachcrumblyscore,buttherewasnoconsistencyinthe choiceamongtimetofruitset,ERubLR_SQ05.3_D11AOC orbothofthese.Wecannotthereforedrawanyconclu- sionsatpresentastowhetherripeningtimeaffects Ri25D10SSR04 0 Ri4CL3SNP 3 RUB137a 9 454c1717Embdef 19 RUB124a 24 ERubParaSQ008D04 27 ERubLR_SQ9.2_C12PE 29 JHI_25076_3_deh 36 E40M60-106 44 P13M60-117 47 ERUBLR_SQ5.2_H12Cell 53 E40M60-125 55 P13M58-86 59 P13M40-131 61 Ripgl 63 E40M43-116 65 454c2261HS 66 RiCell1 68 bes_Ri36G22F 70 454c1149_CCDr 71 JHIRi34405_158_RAD 73 454c7333bChHS 76 454C6398PGD_snp212 80 454C6398PGD_snp155 454C6398PGD_snp91 81 P12M31-171 83 nudix256e JHI_Ri_29680 JHI_Ri_5828 JHI_Ri_37529 89 E41M39-125 ara4-2_256esnp222 90 RUB262b 92 ara4-2_256esnp303 93 454C2375_COP1b ara4-2_256esnp234 95 signalo_256esnp115 96 454C1037_ACCsynth ara4_1_snp139 97 E41M60-315 98 RUB256e*** 101 ERubLR_SQ10.2_H07Aq 103 RUB243a RibHLH 104 bes_Ri31G22R 105 RUB119a 106 P12M95-95 110 Rub232b 112 RibHLH2 123 Severity 2011 Severity 2012 LG1 Fig.1 LinkagemapforLG1.Themostsignificantmarkeraccording totheKruskal-Wallistestisthesameforallbinarytraits,andis shownby***.One-lodsupportintervalsfortheseveritytraitsare alsoshown Graham etal.SpringerPlus (2015) 4:223 Page4of9 crumblinessdirectlyorwhetherbothtraitsarecontrolled byoneormoregenesonLG3.Theassociationwithripen- ingisinteresting,withthelongerthefruittakestogetto thefruitsetandgreenfruitstage,themorelikelyitistobe crumbly.Thisisparticularlyapparentwhenconsidering thedifferencebetweenpolytunnelgrownfruitandfield grownfruitwhereunderfieldconditionsthefruitalways takelongertogettothesestagesandbeyond.Graham etal.(2009)identifiedmarkersonLG3asassociatedwith timetoripening.Atthisstagehoweverconclusionscannot bedrawnastowhetherripeningtimeaffectscrumbliness directlyorwhetherbothtraitsarecontrolledbyoneor moregenesonLG3.Contrarytothesuggestionby Jennings(1967b)thatcrumblyfruitwasrelatedtothe GeneHregion,nogeneticassociationwiththisregion onLG2couldbeidentifiedwiththecrumblyfruitsyn- drome.TheGeneHregionisaninterestingregionassoci- atedwithanumberofdiversetraits(KnightandKeep 1958;JenningsandBrydon1989;Jennings1962;Keep 1968,1976;JenningsandMcGregor1988;Anthonyetal. 1986;Jennings1967a).Interestingly,the Hh genotypeof GeneHwasassociatedwithaslowingdownofripening acrossallstagesfromopenflowerstothegreen/redstage comparedtothe hh genotype(Grahametal.2009).The correlationwithGeneHandcrumblyfruitidentifiedby Jenningsmayactuallybeduetothisassociationwithrip- eningtimeratherthantotheregionitself.Interestingly allelesassociatedwithlongertimetoripeningintheGene HregionandalsoonLG3andLG5areassociatedwith smallerrootdensityanddiametermeasuresandmaybe regardedasgeneralvigorgenes(Grahametal.2011).This mayalsobeafactorincrumblyfruitandwillneedfurther investigation. GenecontentinRub256eregion Theraspberrygenomepseudomolecules(providedby JoshuaUdallBYU,GeneticsandBiotechFaculty (pws.byu.edu))weresearchedusingBLAST(Altschul etal.1990)foranyregionsthatmatchedRUB256e.Six differentgeneswerepredictedintheregionasfollows: Methyltransferase(XP004133879.1),signalosomecomplex (XP002511799.1),cysteineprotease(XP002306369.1),Ara4 interactingprotein(XP002511798.1),Nudixhydrolase. (XP002266987.1)andMethyltransferase(AER13155.1) containingtheRub256emarkerandthosecontaininga polymorphismbetweentheparentsweremappedusing primersinTable7toconfirmlocationandallowfuture geneexpressionstudiestobecarriedout. Conclusion Thisstudyhashighlightedthatenvironmental,seasonal andgeneticfactorsallplayaroleinthedevelopmentof crumblyfruitinredraspberry.AregiononLG1atthe Rub256emarker,andanassociationwithripeningtime andripeningassociatedmarkersonLG3wereidentified forfurtheranalysis.Noassociationwithcrumblyfruit andGeneHwasdetermined.Thisworkhasallowedus toidentifyageneticcomponenttotheconditionwhich Table3 EffectoftheRUB256emarkeronLG1onthecrumblyscores YearEnv.KWstatistic (3df) Sig.ofLathamalleleMeancrumblyscorefora-offspring(s.e.)Meancrumblyscoreforb-offspring(s.e.) Incidence(0 – 1) 2004FieldA4.70.0460.44(0.071)0.65(0.071) 2004FieldB7.40.0070.18(0.056)0.44(0.074) 2007FieldA26.9***0.0010.12(0.033)0.43(0.053) 2007Poly5.80.0360.05(0.022)0.14(0.037) 2008FieldA0.50.8490.04(0.019)0.05(0.022) 2008Poly5.70.0780.00(0.001)0.02(0.016) 2009FieldA20.8***0.0010.16(0.037)0.49(0.054) 2009Poly5.60.0050.02(0.007)0.06(0.012) 2010FieldA25.1***0.0010.22(0.042)0.53(0.055) 2010Poly4.40.0940.17(0.041)0.28(0.053) 2011FieldA19.7***0.0010.58(0.052)0.89(0.036) 2012FieldA24.4***0.0010.46(0.059)0.83(0.044) Severity(0 – 4) 2011FieldA27.8***0.0010.77(0.097)1.59(0.104) 2012FieldA26.3***0.0010.69(0.121)1.62(0.121) KW=theKruskal-Wallisstatisticforthismarker;df=degreesoffreedom.ThelastthreecolumnsshowthesignificanceoftheadditiveeffectoftheLa thamallele inageneralisedlinearmodel,andthepredictedmeancrumblyscorefortheoffspringinheritingeitherthe ‘ a ’ alleleorthe ‘ b ’ allelefromLatham *** p 0.001 Graham etal.SpringerPlus (2015) 4:223 Page5of9 canbeassessedforbreedinglineslesspronetocrumbly fruit.Controlledenvironmentstudieswillbecarriedout inanattempttodefinetriggersoftheconditioninthose sampleswherethephenotypevariesbetweenseasons andenvironments. Materialsandmethods Fieldandpolytunneltrials Thepopulation,asdescribedpreviously(Grahametal. 2004,2006,2009,2011,2014;Woodheadetal.2013), consistsofafullsibfamilygeneratedfromacrossbe- tweentheEuropeanredraspberrycv.GlenMoyandthe NorthAmericanredraspberrycv.Latham.Trialswere arrangedinarandomisedblockdesignwiththreerepli- cateseachcontainingtworeplicatedplantsof330geno- typesattwofieldsites,andthreesingle-plantreplicates of188genotypes(randomlyselectedfromtheoriginal 330fullsibfamilyformappingpurposes)underpoly- thenetunnelprotection(McCallumetal.2010). Phenotypicdatacollectionforcrumblyfruit Mappingofthispopulationhasfocusedontwosubsets, aninitialpopulationmappingpopulation1(MP1)of94 seedlings,andafurthermappingpopulationofanadd- itional94seedlings(MP2).Phenotypicdataoncrumbly fruit,scoredascrumblyornotaccordingtoJennings 1967b,wascollectedonMP1onlyin2004onasingle replicateattwofieldlocations(A&B).In2007and 2008,crumblyfruitwasassessedsimilarlyonasingle replicateofthelinesinMP1andMP2atonefieldsite (A)andonplantsgrownunderapolytunnel.In2009, threereplicateswereassessedforthelinesinMP1and LEAF86 0 E41M60-184 10 P13M39-177R 16 P14M61-121 RUB22a 20 FRUITE8OMT 21 ERUB271PR 23 ERubLR_SQ01_P18 26S_prot 25 Risnf4 26 ERubLR_SQ1_FG23Pgl 27 ERubLR_SQ071_E10TF JHIRi681_152_ATN 28 ERubLR_SQ13.2C12IPPI RubnebH15 30 ERubLR_SQ12.4A04DMQ 31 ERubLR_SQ4.2_A08LTP 32 P13M58-112 36 JHIRi681_131_ATN 40 P12M121-186 48 JHIRi_10729_AlkR 52 ERubLR_SQ13.2E09Exp 54 454C6570_ISPH 58 RUB160a Rub17a 60 Rub242a 63 JHIRi_54644GR_snp97 66 454C1803_PGIP2 67 RiM015 RiCTR1 68 454CL8848C1_ZFP8 70 Ri4CL1SNP JHI_20114_3_NIF water_c0035_GTIP 71 JHI_33046_HS 75 454C0016_Maldehy 77 ERubLRcont74PME-I 81 Pip_La_E02V0_Aq1 84 RißGal1 85 JHI_42376_unk 86 JHI_44413_226MyB 88 Ri9022SSR01 90 RiMYB 92 454C3991_PME 95 ERubLath2_C21 105 454C2985_PSY***F12 108 JHIRi_197775PIF***P09 JHIRi_5456PIF***P10 110 JHIRi20954_snp187 113 water_c0020_PIP2 114 ERubLR_SQ12.2C05Acon 116 P14M60-129***F11 118 ERubLR_SQ05.3_D11AOC 121 ERubLRSQ10.2E02SAMDC 122 SAMDC_LIZ1200_1024 125 JHIRi41071_RGP2 127 JHIRI34798b_snp522 132 JHIRi37996_snp298***P07 134 Rub120a 136 Rub238h 143 Rub259b 149 RUB259f 157 P13M40-203 164 Severity 2011 Severity 2012 LG3 Fig.2 LinkagemapforLG3.Themostsignificantmarkersaccordingto theKruskal-Wallistestareshownby***foreachbinarytrait,togetherwith yearandsite.One-lodsupportinterval sfortheseveritytraitsarealsoshown Table4 Predictedmeans(se)atbothlocifortheseverityscores usingatwo-markermodel YearLG1=a-; LG3=a- LG1=a-; LG3=b- LG1=b-; LG3=a- LG1=b-; LG3=b- 20111.23(0.128)0.53(0.102)2.00(0.125)1.29(0.113) 20121.16(0.158)0.45(0.128)2.00(0.145)1.29(0.138) LG1isrepresentedbyRUB256eandLG3byERubLR_SQ05.3_D11AOC Table5 Predictedmeans(se)forthecrumblyscoresfromthe generalisedlinearmodelcombiningdataoveryearsandsites (a)Site.LG1interaction SiteLG1=a-LG1=b- Field0.17(0.013)0.51(0.020) Poly0.05(0.009)0.10(0.013) (b)Site.LG3interaction SiteLG3=a-LG3=b- Field0.35(0.018)0.30(0.015) Poly0.13(0.016)0.04(0.008) LG1isrepresentedbyRUB256eandLG3byERubLR_SQ05.3_D11AOC Graham etal.SpringerPlus (2015) 4:223 Page6of9 MP2atbothfieldsites(A&B)andinthepolytunnel.In 2010,asinglereplicateofMP1andMP2wasassessedat onefieldsite(A)andinthepolytunnel,butthescoring wasmodifiedtodistinguishbetweencrumblyandamore severeformwherenodrupedevelopmentoccurred,which wereferredtoas ‘ sterilefruit ’ .Thiswasexaminedtoseeif itshowedanyassociationwithsterilityasdescribedprevi- ously(Jennings1967b)orwasanextensionofthecrumbly fruitphenotype.In2011and2012asinglereplicateof MP1andMP2wasscoredatthefieldsite(A)only;for theseyearscrumblinesswasscoredasbothcrumblyor notandona0 – 4scalewhere0wasnocrumblyfruitand 4wasthesevere ‘ sterile ’ condition. RaspberryBushyDwarfVirus(RBDV)testingwas carriedoutasstandardtoensureplantswerefreeofthe virus(http://www.fruithealth.co.uk). Linkagemapping,summarystatisticsandQTLanalysis Previousversionsofthelinkagemapforthispopulation havebeendescribedbyGrahametal.(2004,2006,2009, 2011,2014),McCallumetal.(2010)andWoodhead etal.(2010,2013).Furthermarkershavebeenaddedto themapusedhere,usingJoinMap4.1(VanOoijen 2006)Table7. Asthecrumblyscoresarebinaryorordinaltraits, associationsbetweenthem werecalculatedusingthe gammastatistic(SiegelandCastellan1988),whichvar- iesbetween Š 1and+1. TheQTLmappinganalyseswerechosentobesuitable forbinaryandordinaltraits.Anon-parametricmapping basedontheKruskal-Wallis(KW)testwasusedinitially totesteachmarkeronthemapforassociationswiththe crumblyfruitscoresforeachyearandenvironment, usingtheMapQTL5software(VanOoijen2004).The KWteststatistichasanapproximatechi-squaredistri- butionwithdegreesoffreedomequaltothenumberof genotypeclassesminusoneunderthehypothesisofno segregatingQTL.ThethresholdfortheKruskal-Wallis mappingacrossthegenomewasestablishedusinga smallpermutationtestof400permutations(carriedout inGenStat16forWindows(Payneetal.2013)).Fora normallydistributedtrait,thesubsequentanalysiswould betocombineinformationacrossgeneticmarkersalong thechromosometoestimatetheprobabilitiesofeach possibleQTLgenotypeforeachoffspringateachpos- ition(the “ geneticpredictors ” )andtomodeleachtrait asafunctionoftheseusingastandardlinearmodel.Ina crosssuchasthiswithoutbreedingparents,theparental genotypesataQTLareusuallyrepresentedasabxcd, withoffspringgenotypesac,ad,bcandbdandtheprob- abilitiesforthesegenotypescanbeusedinthelinear model.Alternativelygeneticpredictorsforthematernal additiveeffect( P 1 ) ,thepaternaladditiveeffect( P 2 )and thedominanceeffect( D )canbederivedforeachoffspring ateachpositionas: P 1 ¼ prbc ðÞþ prbd ðÞ Š prac ðÞ Š prad ðÞ P 2 ¼ prbd ðÞþ prad ðÞ Š prbc ðÞ Š prac ðÞ D ¼ prbd ðÞ Š prbc ðÞ Š prad ðÞþ prac ðÞ ð 1 Þ where pr(ac) istheprobabilitythattheoffspringhas genotypeacatthatposition,andthesecanbeusedin thelinearmodel.Forthebinarytraitshere,thelinear modelwasreplacedbyageneralisedlinearmodel (GLM)withbinomialerrorsandalogitlinkfunction torelatethecrumblytraittotheadditiveanddominance effectsinthegeneticregionsidentifiedbytheKWana- lysis.Thegeneticpredictorsoftheadditiveeffectsofeach parentandthedominanceeffectwerecalculatedateach markerpositionusingtheQIBDPROBABILITIESproced- ureofGenStat16forWindows(Payneetal. 2013 )and Table6 Correlationbetweencrumblyscoresandthetimeto eachoftheripeningstagesfrom2006 YearEnvOpenFruitsetGreenGreen/RedRipe 2004FieldA  0.180.190.170.140.08 2004FieldB  0.030.110.11  0.090.11 2007FieldA  0.050.26***0.29***0.140.08 2007Poly  0.150.16*0.100.21**0.07 2008FieldA  0.09  0.02  0.11  0.120.00 2008Poly  0.060.04  0.010.040.04 2009FieldA  0.050.30***0.32***0.17*0.07 2009Poly0.010.22**0.140.00  0.17* 2010 a FieldA  0.010.31***0.27***0.17*0.10 2010 a Poly  0.050.30***0.27***0.18*  0.06 2011FieldA  0.070.18*0.17*0.140.02 2012FieldA  0.130.21*0.22**0.23**0.08 Severity(0 – 4) 2011FieldA  0.030.29***0.29***0.20*0.01 2012FieldA  0.020.29***0.29***0.24**0.01 a 2010showstheproportionofeithercrumblyorsterilefruit *** p 0.001**p0.01;*p0.05 Table7 PrimerstoconfirmlocationofgenesinRub256eregion GeneinRub256eregionPrimersequence Ara41256eGgcaagtttacccagctgaa catatgagtgcgcagatacag Ara42256eCattccctgcgttgaaatct Ttctgagtcgtctggtgtgc Nudix256eGaaggttttcggtaccacca tcctgcttctggatgtcaaa Signalo256eTgcatcctggatatggattt ccaagttgcccatgagaataa Graham etal.SpringerPlus (2015) 4:223 Page7of9 thisprogramwasalsousedtofittheGLM.FinallyaGLM analysiswascarriedoutovertheyearsandsitestogether, fittingyear,site,thegeneticeffectsandallinteractions. Linearmodelswithnormallydistributederrorswasused forthefieldseverityscoresfrom2011and2012. IdentificationofgenecontentinRub256eregionand mappingtoconfirmlocation Littleinformationintermsoffunctionalmarkerswas availablefortheRub256elinkagemapregiononlinkage group(LG)1,thereforetheraspberrygenomepseudo- molecules(providedbyJoshuaUdallBYU,Geneticsand BiotechFaculty(pws.byu.edu))weresearchedusing BLAST(Altschuletal.1990)foranyregionsthatmatched theRUB256esequence.Primersweredesignedtosome genesintheregion(Table6)andaddedtothelinkage mapaspreviouslydescribed(Grahametal.2011)to confirmlocationofsequence. Associationwithripening Grahametal.(2009)studiedthedevelopmentoffruitin thesamepopulationandidentifiedQTLassociatedwith theripeningprocess.Heretheassociationbetweenrip- eningratesandcrumblinesswasinvestigatedusingthe ripeningfieldscoresfrom2006,asthesewereavailable forbothMP1andMP2.Theripeningdatawasoriginally scoredasdevelopmentalstagesusinga1 – 7scale(1= budbreak,2=openflowers,3=fruitset,4=greenfruit, 5=green/redfruit,6=ripeand7=over-ripe),withthe firstscoringon19thMay2006whenallscoreswere equaltoone.FromthesescoresGrahametal.(2009) estimatedthenumberofdaystoreacheachofthede- velopmentalstagesforeachgenotypeandmappedQTL forthese.Theassociationwithcrumblinesswasinvesti- gatedhereusingcorrelationcoefficients.Thecrumbly traitswerealsomodelledasafunctionofboththe geneticmarkersandthetimetoripening,usingagen- eralisedlinearmodelwithb inomialerrorsandalogit linkfunction. Additionalfile Additionalfile1:TableS1. Analysisofdeviancetablefortheincidence ofcrumblyfruit,modelledasafunctionofsite,year,geneticeffects andtheirinteractions.LG1isrepresentedbyRub256eandLG3by ERubLR_SQ05.3_D11AOC,usingtheadditiveeffectoftheLatham alleleineachcase. Abbreviations QTL: Quantitativetraitloci;MP:Mappingpopulation;LG:Linkagegroup; GLM:Generalisedlinearmodel. Competinginterest Theauthorsdeclaretheyhavenocompetinginterests. Authors ’ contributions JGsupervisedthestudy,JG&CHdraftedthemanuscript,CHandJMcN analysedthedata,SM,KS,DC,PHparticipatedindatacollection.KScarried outthemarkeranalysis.LMprovidedthegenomicsequenceforRub256e.All authorsreadandapprovedthefinalmanuscript. Acknowledgements TheauthorswouldliketoacknowledgeRESASforfundingsupport. Authordetails 1 JamesHuttonInstitute,Dundee,ScotlandDD25DA,UK. 2 Biomathematics andStatisticsScotland,Dundee,ScotlandDD25DA,UK. Received:10February2015Accepted:30April2015 References AltschulSF,GishW,MillerW,MyersEW,LipmanDJ(1990)Basiclocalalignment searchtool.JMolBiol215:403 – 410 AnthonyVM,WilliamsonB,JenningsDL,ShattockRC(1986)Inheritanceof resistancetoyellowrust( Phragmidiumrubi-idaei )inredraspberry.AnnAppl Biol109:365 – 374 DaubenyHA,CrandallPC,EatonGW(1967)Crumblinessintheredraspberry withspecialreferencetothe ‘ Sumner ’ variety.ProcAmSocHorticultSci 9:224 – 230 DaubenyHA,FreemanJA,Stace-SmithR(1978)Theoccurrenceandsomeeffects ofraspberrybushydwarfvirusinredraspberry.JAmSocHorticultSci 103:519 – 522 GoetzM,HooperLC,JohnsonSD,CarlyleJ,RodriguesM,Vivian-SmithA,Koltunow A(2007)ExpressionofaberrantformsofAuxinResponseFactor8stimulates parthenocarpyinArabidopsisandTomato.PlantPhys145:351 – 366 GrahamJ,SmithK,MacKenzieK,JorgensonL,HackettCA,PowellW(2004)The constructionofageneticlinkagemapofredraspberry( Rubusidaeus subsp. idaeus )basedonAFLPs,genomic-SSRandEST-SSRmarkers.TheorAppl Genet109:740 – 749 GrahamJ,SmithK,TierneyI,MacKenzieK,HackettCA(2006)MappinggeneH controllingcanepubescenceinraspberryanditsassociationwithresistance tocane botrytis andspurblight,rustandcanespot.TheorApplGenet 112:818 – 831 GrahamJ,HackettC,SmithK,WoodheadM,HeinI,McCallumS(2009)Mapping QTLfordevelopmentaltraitsinraspberryfrombudbreaktoripefruit.Theor ApplGenet118:1143 – 1155 GrahamJ,HackettCA,SmithK,WoodheadM,MacKenzieK,TierneyI,CookeD, BayerM(2011)Towardsanunderstandingofthenatureofresistanceto Phytophthora rootrotinredraspberry:isitmainlyrootvigour?TheorAppl Genet123:585 – 601 GrahamJ,HackettCA,SmithK,KarleyA,MitchellC,RobertsH,O ’ NeillT(2014) Geneticandenvironmentalregulationofplantarchitecturaltraitsand opportunitiesforpestanddiseasecontrolinraspberry.AnnApplBiol. doi:10.1111/aab.12134 JenningsDL(1962)Someevidenceontheinfluenceofthemorphologyof raspberrycanesupontheirabilitytobeattackedbycertainfungi.HortRes 1:100 – 111 JenningsDL(1967a)Balancedlethalsandpolymorphismin Rubusidaeus . Heredity22:465 – 479 JenningsDL(1967b)Observationsonsomeinstancesofpartialsterilityinred raspberrycultivars.HortRes7:116 – 122 JenningsDL(1971)Somegeneticfactorsaffectingfruitdevelopmentin raspberries.NewPhytol70:361 – 370 JenningsDL(1988)RaspberriesandBlackberries:TheirBreedingDiseasesand Growth.Academic,London,p145 JenningsDL,BrydonE(1989)Furtherstudiesonbreedingforresistanceto Leptosphaeriaconiothyrium inredraspberryandrelatedspecies.AnnAppl Biol115:499 – 506 JenningsDL,McGregorGR(1988)Resistancetocanespot( Elsinoeveneta )inred raspberryanditsrelationshiptoresistancetoyellowrust( Phragmidium rubi-idaei ).Euphytica37:173 – 180 KassimA,PoetteJ,PatersonA,ZaitD,McCallumS,WoodheadM,SmithK, HackettCA,GrahamJ(2009)Environmentalandseasonalinfluencesonred raspberryanthocyaninantioxidantcontentsandidentificationofquantitative traitsloci(QTL).MolecularNutriFoodRes53:625 – 634 Graham etal.SpringerPlus (2015) 4:223 Page8of9 KeepE(1968)Inheritanceofresistancetopowderymildew Sphaerotheca macularis (Fr.)Jaczewskiintheredraspberry Rubusidaeus L.Euphytica 17:417 – 438 KeepE(1976)Progressin Rubus breedingatEastMalling.ActaHort60:123 – 128 KnightRL,KeepE(1958)DevelopmentsinsoftfruitbreedingatEastMalling. ReptEastMallingResStn1957:62 – 67 McCallumS,WoodheadM,HackettCA,KassimA,PatersonA,GrahamJ(2010) Geneticandenvironmentaleffectsinfluencingfruitcolour.TheorApplGenet 121:611 – 627 MurantAF,ChambersJ,JonesAT(1974)Spreadofraspberrybushydwarfvirus bypollination,itsassociationwithcrumblyfruit,andproblemsofcontrol. AnnApplBiol77:271 – 281 PandolfiniT,MolensiniB,SpenaA(2007)Moleculardissectionoftheroleof auxininfruitinitiation.TrendsPlSci12:327 – 329 PatersonA,KassimA,McCallumS,WoodheadM,SmithK,ZaitD,GrahamJ (2013)Environmentalandseasonalinfluencesonredraspberryflavour volatilesandidentificationofquantitativetraitloci(QTL)andcandidate genes.TheorApplGenet126:33 – 48 PayneR,MurrayD,HardingS,BairdD,SoutarD(2013)IntroductiontoGenStat forWindows,16thedn.VSNInternational,HemelHempstead SchwabeWM,MillsJJ(1981)Hormonesandparthenocarpicfruitset.Aliterature survey(temperate,subtropicalandtropicalfruisandvegetables).Hort Abstracts51:661 – 698 SiegelS,CastellanNJ(1988)Nonparametricstatisticsforthebehaviouralsciences, secondthedn.McGraw-Hill,NewYork VanOoijenJW(2004)MapQTL®5,softwareforthemappingofquantitativetrait lociinexperimentalpopulations.KyazmaBV,Wageningen VanOoijenJW(2006)JoinMap®4;Softwareforthecalculationofgeneticlinkage mapsinexperimentalpopulations.KyazmaB.V,Wageningen VriezenWH,FeronR,MarettoF,KeijmanJ,MarianiC(2008)Changesintomato ovarytranscriptomedemonstratecomplexhormonalregulationoffruitset. NewPhytol177:60 – 76 WoodheadM,WeirA,SmithK,McCallumS,MacKenzieK,GrahamJ(2010) Functionalmarkersforredraspberry.JAmSocHortSci135:418 – 427 WoodheadM,WeirA,SmithK,McCallumS,JenningsN,HackettCA,GrahamJ (2013)IdentificationofQTLsforcanesplittinginredraspberry( Rubusidaeus ). MolBreed31:111 – 122 Submit your manuscript to a journal and bene“ t from: 7 Convenient online submission 7 Rigorous peer review 7 Immediate publication on acceptance 7 Open access: articles freely available online 7 High visibility within the “ eld 7 Retaining the copyright to your article Submit your next manuscript at 7 springeropen.com Graham etal.SpringerPlus (2015) 4:223 Page9of9 RESEARCHOpenAccess Towardsanunderstandingofthecontrolof ‘ crumbly ’ fruitinredraspberry J.Graham 1* ,K.Smith 1 ,S.McCallum 1 ,P.E.Hedley 1 ,D.W.Cullen 1 ,A.Dolan 1 ,L.Milne 1 ,J.W.McNicol 2 andC.A.Hackett 2 Abstract Thegeneticdisorderknownas ‘ crumbly ’ fruitisbecomingaseriousproblemintheEuropeanraspberryindustry. Thestudysetouttoexaminethecrumblyphenotypeinaredraspberrymappingpopulationundertwoenvironments (fieldandpolytunnel)acrosssixseasonsinanefforttounderstandvariabilityofthesyndromeandtoexaminewhether geneticfactorswereimportantandifso,whetherQTLa ssociatedwiththephenotypec highlightedthatseasonal,environmental(fieldorpolytun nel)andgeneticfactorsallinfluencethecondition.Two QTLthatareimportantforthegeneticcontroloftheconditionhavebeenlocatedonlinkagegroupsoneand three,andanassociationwithripeningtimehasbeenidentified. Keywords: Raspberry;Crumblyfruit;QTLmapping Background Raspberryfruitsareformedfromanaggregationofmul- tiplefertilizedovarieseachofwhicharereferredtoas drupeletsastheybecomefleshy.Intheconditionknown ascrumblyfruit,whichhasbeenlinkedwithpollen abortionandembryosacdegeneration,drupeletsare generallyreducedinnumberbutgreatlyenlargedor,in thecaseofsmallreductions,cohereimperfectlysofruit readilycrumbleswhenpicked(Daubenyetal.1967; Jennings1988). Crumblyfruitisanindicationofapartialfailurein oneormorephysiologicalprocessesconcernedwith fruitdevelopment(Jennings1967b)andisanincreasing problemfortheEuropeanraspberryindustry,withpar- ticularproblemsoccurringinwidelygrowncommercial cultivarsTulameenandGlenAmple.Therehavebeena Itisknownthatinfectionwithcertainvirusescanincrease thelikelihoodthatplantsbecomecrumbly(Jennings 1988).RaspberryBushyDwarfVirus(RBDV)infects pollen,reducingitscapacitytoinducefruit-setandcan leadtofailureofalmosthalfofalldrupeletstoset(Murant etal.1974;Daubenyetal.1978).Ageneticcausehasbeen demonstratedwherethecrumblyphenotypearisesfrom virus-testedmotherplants(Jennings1988).Studieshave alsoshownthatextensivetissueculturingofplantsmay increasetheemergenceofthecondition(N.Jenningspers comm.).Additionally,environmentalfactorssuchaslow orhightemperaturesatparticulartimepointsindevelop- mentappeartoplayanimportantrolewithvariations intheextentofcrumblinessapparentfromyeartoyear (A.Dolanperscomm). Assessmentofthefruitofmotherplantsiscurrently theonlymethodofdetectingcrumblinessinnuclear stockmaterial,andithasbeenobservedthatasmall numberofplantswithvaryingdegreesofcrumbliness canbedetectedeachyear.Somecultivarsappeartobe morepronetotheconditionthanothers.Howeverifthe environmentalconditionsdifferfromthenormalseasonal levels,ithasbeenobservedthatrandomsymptomsof crumblinesscanbedisplayedincultivarsnotpreviously knownfortheproblem.Also,knowncrumblyaffected cultivarscanshowmoreextremesymptoms. Thismaterialisnotreleasedtoindustrybutmayre- sult,unneccessarily,inacultivarpermanentlylosingits positioninthemarketplace. Thegeneticbasisofraspberryfruitdevelopmentisnot wellunderstood,althoughsomestudieshavebeencar- riedouttolookatoverallcontroloffruitdevelopment andripening(Grahametal.2009)andalsospecificrip- eningrelatedprocessessuchasanthocyaninproduction (Kassimetal.2009)colourdevelopment(McCallum etal.2010)andvolatileproduction(Patersonetal.2013). *Correspondence: Julie.Graham@hutton.ac.uk 1 JamesHuttonInstitute,Dundee,ScotlandDD25DA,UK Fulllistofauthorinformationisavailableattheendofthearticle a SpringerOpen Journal ©2015Grahametal.;licenseeSpringer.ThisisanOpenAccessarticledistributedunderthetermsoftheCreativeCommons AttributionLicense(http://creativecommons.org/licenses/by/4.0),whichpermitsunrestricteduse,distribution,andreproduction inanymedium,providedtheoriginalworkisproperlycredited. Graham etal.SpringerPlus (2015) 4:223 DOI10.1186/s40064-015-1010-y

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