ht t p : / / w w w . b j m i c r o b i o l . c o m . b r /
Genetics
and
Molecular
Microbiology
Selection
of
reference
genes
for
expression
analysis
in
the
entomophthoralean
fungus
Pandora
neoaphidis
Chun
Chen
a,∗,
Tingna
Xie
a,
Sudan
Ye
b,
Annette
Bruun
Jensen
c,
Jørgen
Eilenberg
caChinaJiliangUniversity,ZhejiangProvincialKeyLaboratoryofBiometrologyandInspection&Quarantine,Hangzhou310018,China bZhejiangEconomic&TradePolytechnic,Hangzhou310018,China
cDepartmentofPlantandEnvironmentalSciences,UniversityofCopenhagen,DK1871FrederiksbergC,Denmark
a
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t
i
c
l
e
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n
f
o
Articlehistory:Received4May2015 Accepted23August2015
AssociateEditor:AndréRodrigues
Keywords: Pandoraneoaphidis
Referencegenes QuantitativePCR
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Theselectionofsuitablereferencegenesiscrucialforaccuratequantificationofgene expres-sionandcanaddtoourunderstandingofhost–pathogeninteractions.Toidentifysuitable referencegenesinPandoraneoaphidis,anobligateaphidpathogenicfungus,theexpression ofthreetraditionalcandidategenesincluding18SrRNA(18S),28SrRNA(28S)andelongation factor1alpha-likeprotein(EF1),weremeasuredbyquantitativepolymerasechain reac-tionatdifferentdevelopmentalstages(conidia,conidiawithgermtubes,shorthyphaeand elongatedhyphae),andunderdifferentnutritionalconditions.Wecalculatedtheexpression stabilityofcandidatereferencegenesusingfouralgorithmsincludinggeNorm,NormFinder, BestKeeperandDeltaCt.Theanalysisresultsrevealedthatthecomprehensiverankingof candidatereferencegenesfromthemoststabletotheleaststablewas18S(1.189),28S(1.414) andEF1(3).The18Swas,therefore,themostsuitablereferencegeneforreal-timeRT-PCR analysisofgeneexpressionunderallconditions.Theseresultswillsupportfurtherstudies ongeneexpressioninP.neoaphidis.
©2015SociedadeBrasileiradeMicrobiologia.PublishedbyElsevierEditoraLtda.Thisis anopenaccessarticleundertheCCBY-NC-NDlicense
(http://creativecommons.org/licenses/by-nc-nd/4.0/).
Introduction
Pandora neoaphidis is one of the most important fungal pathogens of aphids and has great potential for use in biocontrol.1–4 Althoughthe lifecycle ofP.neoaphidis iswell
∗ Correspondingauthor.
E-mail:aspring@cjlu.edu.cn(C.Chen).
known,adetailedmolecularunderstandingofgene expres-sionduringtheinfectionprocessisstilllacking. Adiversity ofgenescanbeup-ordownregulatedduringhost–pathogen interactions,5 however,littleisknownabouttheexpression ofreferencegenesinthisparticularentomophthoralean fun-gus.
http://dx.doi.org/10.1016/j.bjm.2015.11.031
1517-8382/©2015SociedadeBrasileiradeMicrobiologia.PublishedbyElsevierEditoraLtda.ThisisanopenaccessarticleundertheCC BY-NC-NDlicense(http://creativecommons.org/licenses/by-nc-nd/4.0/).
severalfungi.8–11However,anumberofcriticalaspectsmust beoptimizedforeffectiveqRT-PCRanalysis;theseincludethe efficiencyofRNAextraction,thequalityoftheRNA,the pres-enceofinhibitors,theefficiencyofthereversetranscription and the selectionofa suitable referencegene as an inter-nalcontrol.12Whilethemajorityofthesepotentialsourcesof errorcanbeavoidedbyadheringcloselytostandardized pro-tocols,selectionofappropriatereferencegenesisfrequently thegreatestchallengebecauseitrequiresaspecies-specific solution.13,14 Anidealreference geneshouldhaveconstant expressionacrossallsamplestobeinvestigated,regardlessof biotype,developmentalstageoranyotherbiologicalor exper-imentalvariability.
Selectionofaninappropriatereferencegenewithvariable expression,leadstoerroneouscalculationsoftheexpression oftarget genesand,therefore,incorrectassumptionsabout thefunctionofthosetargetgenes.15Identificationofsuitable referencegenesisessentialforaccuratetranscriptexpression analysis.Severalstatisticalalgorithmshavebeendeveloped toidentifythemostsuitableinternalcontrolswiththeleast variabilityinexpression;thesealgorithmsarebasedon qRT-PCRdatafromagivensetofcandidategenesandrankputative referencegenesaccordingtotheirexpressionstability,thereby indicatingthebestreferencegeneorcombinationofreference genesforaccuratenormalization.Thefourmostcommonly usedalgorithmsforassessingtheappropriateness of refer-encegenesare geNorm,16 NormFinder,17 Best-Keeper18 and Delta Ct.19 These software packagesare freely available to downloadfromtheauthors’websitesandhavebeenwidely usedtoidentifysuitablereferencegenes.20,21
Inthisstudy,threeputativehousekeepinggenes(18S,28S
andEF1)wereevaluatedaspotentiallyreliablereferencegenes inP.neoaphidisusingqPCR.Fungalinfectionofthehostusually involvesmultipledevelopmentalstages.22Therefore,profiling gene expression inmultiple development stages is impor-tantforunderstandingthemechanismsofpathogenesis.We testedfourdevelopmentalstagesincludingconidia,conidia with germ tubes, short hyphae and long hyphae. Profiling geneexpressionundervariousnutritionalconditionsisalso aroutineapproachtostudygenefunction.Weevaluatedthe stabilityofgeneexpressioninthreedifferentnutrientmedia. Theexpressionstabilityofeachgeneinallsampleswas ana-lyzedusingthegeNorm,NormFinder,Best-KeeperandDelta Ctprograms,andthemostsuitablereferencegeneforaccurate normalizationwasselected.
Material
and
methods
IsolateandcultureconditionsP.neoaphidisisolateARSEF5403wasobtainedfromtheUSDA CollectionofEntomopathogenicFungalCultures,Ithaca,NY. ItwassubculturedonSEMA(Sabourauddextroseagar[SDA]
Propagulesatdifferentstagesofgerminationwereprepared. Mycelialmats from liquidculturewereproduced usingthe methoddescribedbyXuandFeng.24Primaryconidiaactively dischargedfromthemycelialmatduringtheperiodofpeak sporulationwereharvestedinto0.01mol/Lsterilephosphate buffered saline (PBS) solution (130mmol/L NaCl, 7mmol/L Na2HPO4,3mmol/LNaH2PO4,pH7.3).25Theconidial
suspen-sionwasfilteredthroughglasswooltoremoveanymycelia and the conidia centrifuged at 4500rpmfor 10min before beinginoculatedintoGLENmediuminflasks26ata concen-trationof1010conidiapermilliliterfollowedbyincubationat 20◦Cand150rpmina12:12light:darkregimenfordifferent periodsoftime.2 Samplesweretakenafter∼0hforconidia, after∼6hforconidiawithgermtubes,after∼12hforearly, shorthyphae(i.e.thelengthofgermtubewasamaximum of200m),andafter24hforelongatedhyphae(i.e.hyphae that exceeded200m).Ateach stagethe fungalstructures wereobservedmicroscopicallytoensuretheyhadattainedthe correctdevelopmentalstage(Fig.1).Samplesofeach develop-mentalstagewerecollectedaftervacuumfiltrationthrough Whatman54paperandstoredat−80◦CuntiltotalRNAwas
isolated.Therewerethreereplicateflasksforeach develop-mentalstage,i.e.12flasksintotalweresetup.
Toprovidesamplesgrownunderdifferentnutritional con-ditions, themyceliumfrom halfaPetridish (agarmedium removedusingascalpel)wasaddedto100mLflasks contain-ing either30mLGLENmedium,2630mLofGrace’smedium (Invitrogen,USA)or30mLofOS-SDBmedium(Sabouraud Dex-troseBroth[SDB;Difco,BD,USA]supplementedwith0.5%(v/v) sesameoiland0.1%(w/v)sugarestersoffattyacids[Emulsifier E473,CASNo.37318-31-3,LiuzhouGaotongFoodChemicals Co.Ltd.,China]).Flaskswereincubatedat20◦Cand150rpmin a12:12light:darkregimenforthreedays.2Myceliumsamples grownunderdifferentnutritionalconditionswere collected byvacuumfiltrationthroughWhatman54paperandstored at−80◦CuntiltotalRNAwasisolated.Therewerethree
repli-cate flasksforeach nutritional conditioni.e.nine flasksin total.
Candidategeneandprimerdesign
Nucleotide sequences of the 18S and 28S genes (Genbank accessionnumbersHQ677591.1andEF392405.1,respectively), were downloaded from Genbank (http://www.ncbi.nlm.
nih.gov/genbank/),whiletheEF1genesequencewasacquired
through degenerate PCR. Primer pairs for each gene were designed using the Primer Premier 5.0 program (Table 1). Specificity of primer pairs for each candidate gene was confirmed using melting curve analysis and agarose gel electrophoresis.
TotalRNAisolationandcDNAsynthesis
RNAwaspreparedforeachsampleusingtheRNeasyMiniKit (QIAGEN,Cat.No.74104,Mississauga,Canada),andgenomic
Fig.1–ViewsofP.neoaphidispropagules.Topreparepropagulesatdifferentdevelopmentalstages,primaryconidia producedbyamycelialmatwereincubatedinGLENbroth.Thecultureswerecentrifugedtoharvestconidiaat0h(a), conidiawithgermtubesat6h(b),earlyhyphaeat12h(c)andelongatedhyphaeat24h(d).Propaguleswerestainedwith lactophenolandobservedunderamicroscope.Scalebar:50m.
DNAwaseliminatedbyloadingRNase-freeDNaseIintothe fil-tercolumn(QIAGEN).Nucleicacidextractionwasperformed accordingtothemanufacturer’sinstructions.Thequalityof theRNAwascheckedbyelectrophoresison1%agarosegels torevealany contaminatinggenomicDNAandintactrRNA subunits28Sand18S.Nucleicacidconcentrationswere mea-suredusingaNanodrop1000(ThermoScientific,Wilmington, DE,USA).
First-strand cDNA was synthesized using random hex-amerprimersandSureStartTaqDNApolymeraseaccording tothemanufacturer’sinstructions(AgilentTechnologies,Cat. No.20820,Santa Clara,CA, USA).Toavoiderrorscaused by contamination with genomic DNA, all RNA samples were treated with RNase-free DNase I before reverse transcrip-tion(AgilentTechnologies,USA).OnemicrogramoftotalRNA wasused forcDNA synthesis; thecDNA was subsequently dilutedwithnuclease-freewater(QIAGEN)to20ng/L.The cDNA mixtureswere diluted 1:10 withnuclease-free water
(QIAGEN)andstoredat−20◦CforsubsequentquantitativePCR
analysis. QuantitativePCR
Real time RT-PCR amplification mixtures (25L) contained 20ngtemplatecDNA,2×BrilliantIISYBRGreenmastermix buffer with fluorescein for dynamic well factor collection (12.5L; Agilent Technologies) and 400nmol/L each of the forwardandreverseprimers(EurofinsGenomics,Ebersberg, Bayern, Germany). The reaction was performed using a StratageneMx3000P®system.PCRwasaccomplishedaftera
10minactivation/denaturation stepat95◦C,followedby40 cycles of30seach at95◦C,60seach at60◦Cand30seach at72◦C.Fluorescencewasdetectedateach polymerization step.TotestthePCRefficiencyofeachprimerpair,acDNA mixturecontainingequalamountsofcDNAfromallsamples wasusedasthetemplate.Theten-folddilutionseriesofthe
Table1–PrimersequencesofselectedreferencegenesforqRT-PCRinP.neoaphidis.
Gene Accessionnumber Primerpairs Ampliconsize(bp)
18S HQ677591.1 F:CAAACCCGAGCAATAGTC R:GTAGGAGCCCGATAGTAAA 179 28S EF392405.1 F:TCTTATCAGTCTCAGCACCTTG R:TCTGTCAATCCTTACTATGTCTGG 181 EF1 DQ275343.1 F:GACGCACTCCTTGTTGAT R:CCTTGCCACTCTGGTTCT 82
Statisticalanalyses
Thesampleswere dividedintotwogroups: different devel-opmental stages (12 samples) and different nutritional conditions (9 samples). The expression levels of the can-didate reference genes were determined from the cycle threshold(Ct)value,thenumberofPCRcyclesatwhichthe quantity of amplified targets reached a specific threshold levelofdetection. Theexpressionstabilityofthereference genes was evaluated using the four programs, geNorm,16 NormFinder,17BestKeeper18andDeltaCt19toanalyzeallthe rawCtvaluesfromthetwogroups;inordertobalancethe rankingofthecandidatereferencegenesacrossthedifferent algorithms,expressionstabilitywasevaluatedintheprogram
http://www.leonxie.com/referencegene.php?type=reference,
to determine an overall comprehensive stability value for eachcandidatereferencegene.
Results
Expressionprofilingofcandidatereferencegenes
Thecalculatedexpressionlevels(Ctvalues)ofthethreegenes evaluatedvariedfrom10.65to28.75,whichrepresentsquite alargedegreeofvariation(Fig.2).The18Sgenewas iden-tified as the most abundant transcript in all samples; the meanCtvalueforthe18Sgenefromdifferent developmen-talstagesanddifferentnutritionalconditionswas12.62and 19.76,respectively.ThemeanCtvalueforthe28Sgenefrom differentdevelopmentalstagesanddifferentnutritional con-ditionswas15.67and23.74,respectively.Incontrast,themean CtvaluefortheEF1genefromdifferentdevelopmentalstages and different nutritional conditions was 24.25 and 25.65, respectively.
Cycle threshold (C
18
8
18S 28S EF1
Fig.2–MeanCtvalueofthecandidatereferencegenesat differentdevelopmentalstagesandunderdifferent nutritionalconditions.Errorbarsrepresentstandard deviations.nindicatesthenumberofsamples.
Candidategeneexpressionstabilityofdifferent developmentalstagesandunderdifferentnutritional conditions
UsingthealgorithmsgeNorm,NormFinderandDeltaCt,for developmentalstageandnutritionalconditions,the18Sgene wasthemoststableofthethreegenes,followedinrankorder bythe28SgeneandfinallytheEF1gene(Fig.3).However,using theBestKeeperalgorithm,the28Sgenewasmuchmorestable thanthe18SorEF1genes(Fig.3).
Specifically, using geNorm software analysis, the P. neoaphidis expression stability values at different develop-mentalstagesandunderdifferentnutritionalconditionsfor the three candidate reference genes(M value) were in the order:18S(0.457)>28S(0.534)>EF1(0.749)and18S(0.389)>28S
(0.557)>EF1(0.607),respectively.UsingNormFindersoftware analysis, theP. neoaphidis expressionstability valuesat dif-ferentdevelopmentalstagesandunderdifferentnutritional conditions for the three candidate reference genes (stable value)wereintheorder:18S(0.084)>28S(0.264)>EF1(0.509) and 18S (0.118)>28S (0.355)>EF1 (0.403),respectively. Using
18S
18S
18S
18S
28S
28S
28S
28S
EF1
EF1
EF1
EF1
18S
18S
18S
18S
28S
28S
28S
28S
EF1
Developmental stages geNorm Ranking order 1 Most stable 2 Intermediate stability 3 Least stable NormFinder BestKeeper Delta Ct Nutritional conditionsEF1
EF1
EF1
Fig.3–ComparisonoftherankinginexpressionstabilitycalculatedbygeNorm,NormFinder,BestKeeperandDeltaCt.The analysiswasperformedseparatelyforeachsamplegroupundertheconditionsexaminedandtherankingorderswere highlightedbydifferentgraytonesfromwhitetodark,darkergrayindicatesgreaterstability.
3 0 185 1.189 285 1.414
Comprehensive gene stability
≤= Most stable genes Least stable genes =≥
EF1 3 0.5 1 1.5 2 2.5
Fig.4–Comprehensiverankingofthecandidatereference genes.
DeltaCtsoftwareanalysis,theP.neoaphidisexpressionstability valuesatdifferentdevelopmentalstagesandunderdifferent nutritionalconditionsforthethreecandidatereferencegenes (stable value) were inthe order:18S (1.19)>28S (1.20)>EF1
(2.02)and18S(0.41)>28S(0.55)>EF1(0.59),respectively. Overallstabilityrankingofcandidatereferencegenes Therankingfromthecomprehensivegenestabilityanalysis ofcandidatereferencegeneswas18S(1.189)>28S(1.414)>EF1
(3.000)(Fig.4).The18Sgenecould,therefore,beselectedas themoststablereferencegenefornormalizationofqRT-PCR.
Discussion
qRT-PCRisbecomingmoreandmoreimportantasaresearch tooltoidentifyandcharacterizegenesthataredifferentially expressedduringdifferenttypesofgrowthand atdifferent developmentalstages.7Anappropriatereferencegeneorset of reference genes are required for accurate gene expres-sionanalysisand,beforethisstudy,werenotavailableforP. neoaphidis.
DuetoalackofsequencedataforthegenusPandora,we selectedthreehousekeepinggenes(18S,28SandEF1)as can-didatereferencegenesforexpressionstudiesinP.neoaphidis
(Table 1).Wedid notincludethe beta-tublin(-tublin)
ref-erence gene because the primers we developed forit also amplifiedthehostaphid’scDNAwhichwouldprecludeitsuse ingeneexpressionstudiesoftheinteractionbetweenthe fun-gusandthehostaphid(unpublisheddata).Priortodoingthe qPCR,wecheckedthespecificityofthedesignedprimers; anal-ysisofthemeltingcurvesshowedanabsenceofdimersinthe PCRamplifications.
Endogenouscontrols commonlyinclude the use of sin-gle,constitutivelyexpressed,housekeepinggenes.However, theexpressionofasinglehousekeepinggenecanvary con-siderablybetween samples27–29 and may not, therefore, be acceptablefornormalizationofreal-timeRT-PCR.Thisisthe reasonthatwewantedtoselectgeneswithreliableand accu-rate expression levels that were expressed consistently at differentdevelopmentalstages(primaryconidia,conidiawith germtubes,earlyhyphaeandelongatedhyphae)andunder
differentnutritional conditions(GLEN,Grace’smediumand OS-SDB).
Ifonlyonesoftwarepackage,withonealgorithm,isused to analyze the biological stability of expression in candi-datereferencegenesitisoftendifficulttoselecttheoverall bestreferencegene.30Therefore,inthisstudy,a comprehen-siveonlinetoolbasedonfourdifferentalgorithms(geNorm, NormFinder, BestKeeper and Delta Ct) was adopted. The resultsfor geNorm,Normfinder and Delta Ctwere all very similar and showed that, of the three candidate reference genes,expressionofthe18Sgenewasthemoststable;this resultisconsistentwithanumberofotherreports.31,32 How-ever, thestabilitycalculatedbyBestKeeperwasdifferentto theotheralgorithms;the28Sgenewasmorestablethanthe
18Sgene,andbothweremorestablethantheEF1gene.The reasonforthismaybebecausetheBestKeeperalgorithmuses theoriginalCtvaluesasinputdata,sothecalculated statis-tics canindicate false differences.33,34 However,the values forthecoefficientofvariation(CV)wereveryclose;0.77and 0.78,respectivelyforthedifferentdevelopmentalstages,0.45 and0.53,respectivelyforthedifferentnutritionalconditions. Therefore, weusedvaluesfromall fouralgorithmstorank candidatereferencegenestabilityunderalltheexperimental conditionsasacomprehensiveindicatorofthemeanstability ofgeneexpressionasdid;overallthe18Swasstillthemost stablereferencegeneintermsofexpression.
Throughstabilityanalysis,weidentifiedthatthe18SrRNA referencegenewassuitablefornormalization ofqPCRdata undermultipleexperimentalconditions.Ourstudywasbased onqPCR,sothefindingswillprovidedirectguidanceforfuture qPCRexperimentsonP.neoaphidis.Moreover,thesefindings mayalsobeusefulforNorthernblot andreverse transcrip-tion PCR, techniques that also require reference genes for normalization.8,35,36 Itisalso possiblethat, using a combi-nation of two reference genes might further improve the reliabilityofgeneexpressionbyRT-qPCRofP.neoaphidis.
Ineukaryotes,thegenesmostconservedandmostwidely usedare thosethat encoderibosomalRNA(rRNA).37 These genes encode small subunit ribosomal RNA (18S) and two largesubunitribosomalRNA(28S and5.8S),ina transcrip-tionunit,constitutingabout85–90%oftotalcellularRNA,and are veryuseful asinternalcontrols.38 Though 28Stogether with18SareallprocessedfromasingleprecursorRNAafter transcriptionfromtherRNAcistron,28Sand18Sare synthe-sizedrespectivelybyRNApolymeraseIandRNApolymeraseII; thesearecompletelydifferenttomRNAsynthesisand inde-pendentfromit.Thus,thereareonlyrare changesinrRNA levelswhilevariousconditionsaffectmRNAexpression.As aclassichousekeepinggene, the18Sgenehasbeenwidely usedasareferenceforgeneexpressionanalysis39;for exam-pleintheentomopathogenicfungusBeauveriabassiana,8,32,35
andotherspecies.9,40,41Forthisreasonwearenotsurprised thatitisalsousefulforgeneexpressionstudiesofP.neoaphidis.
However,ourunderstandingofP.neoaphidisdevelopmentand metabolismisstilllimited,soitislikelythatfurtherworkon thestabilityofgeneexpressioninother,asyetnot-cloned, ref-erencegenessuchasGAPDHand-actin,willalsobeuseful. Furthermore,theuseofseveralreferencegeneswouldallow moreaccurateandreliablenormalizationofgeneexpression data.16
based gene expression analysis ofthe entomophthoralean fungusP. neoaphidis. Ourresults suggest that the 18Sgene wouldbethemostreliablefornormalizingtheexpression lev-elsinmostsampleseries.Theseresultsprovideafoundation forthemoreaccurateandwidespreaduseofRT-qPCRinthe analysisofgeneexpressioninP.neoaphidis.
Normalization is a major issue when analyzing gene expressioninresponsetovariousexperimentalconditions, anduseofincorrectnormalizationtargetscouldleadto erro-neousinterpretationofquantitativedata.Thepresentstudy considered the issue of development and nutrition, thus the findings can aid in understanding the mechanisms of developmentandmetabolism.Fortheissueoffungus/insect interactions, it is more complicated since the condition involves fungal propagules and host tissue. Thus, further experimentsarerequiredtoassessandvalidatemore refer-encegenessuitableforevaluatingfungus/insectinteractions.
Conflicts
of
interest
Theauthorsdeclarenoconflictsofinterest.
Acknowledgements
Thisstudy wasfunded by:the Natural ScienceFoundation ofChina(31461143030),theInternationalFoundationfor Sci-ence(C/4822-1),theScienceandTechnologyPlanningProject ofZhejiangProvince(2013C37087)andtheZhejiangNatural ScienceFoundation(LR12C03001).
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