ContentslistsavailableatSciVerseScienceDirect
Journal
of
Plant
Physiology
jo u r n al h om e p a g e :w w w . e l s e v i e r . d e / j p l p h
Proteomic
identification
of
differentially
expressed
proteins
in
the
anoxic
rice
coleoptile
Irfan
Sadiq
a,
Francesca
Fanucchi
b,
Eleonora
Paparelli
a,
Emanuele
Alpi
c,
Angela
Bachi
c,
Amedeo
Alpi
b,
Pierdomenico
Perata
a,∗aPlantLab,InstituteofLifeSciences,ScuolaSuperioreSant’Anna,Pisa,Italy bDepartmentofCropPlantBiology,UniversityofPisa,Pisa,Italy
cBiomolecularMassSpectrometryUnit,SanRaffaeleScientificInstitute,Milan,Italy
a
r
t
i
c
l
e
i
n
f
o
Articlehistory: Received13June2011
Receivedinrevisedform21July2011 Accepted21July2011 Keywords: Anoxia Coleoptile Proteomics Rice
a
b
s
t
r
a
c
t
Riceisthestaplefoodformorethanfiftypercentoftheworld’spopulation,andisthereforeanimportant crop.However,itsproductionishinderedbyseveralbioticandabioticstresses.Althoughriceistheonly cropthatcangerminateeveninthecompleteabsenceofoxygen(i.e.anoxia),flooding(lowoxygen)is oneofthemajorcausesofreducedriceproduction.Ricegerminationunderanoxiaischaracterizedbythe elongationofthecoleoptile,butleafgrowthishampered.Inthiswork,acomparativeproteomicapproach wasusedtodetectandidentifydifferentiallyexpressedproteinsintheanoxicricecoleoptilecompared totheaerobiccoleoptile.Thirty-onespotsweresuccessfullyidentifiedbyMALDI-TOFMSanalysis.The majorityoftheidentifiedproteinswererelatedtostressresponsesandredoxmetabolism.Theexpression levelsoftwenty-threeproteinsandtheirrespectivemRNAswereanalyzedinatimecourseexperiment.
© 2011 Elsevier GmbH. All rights reserved.
Introduction
Withthegrowthinworldpopulation,therehasbeenan
increas-ingdemandforfood.However,duetotheenvironmentalstresses
thatnegativelyaffectplantgrowthandproductivity,crop
produc-tionisnotincreasingatthesamerate.Environmentalstressmeans
economic hardshipfor farmers and maybelife-threatening for
regionsthatdependonsubsistencefarming.Inordertoincrease
cropyieldsandtoexpand cultivatedareas, increasedplant
tol-erancetoenvironmentalstressistherefore essential.Plantsare
sessileorganismsthatmustdevelopdifferentdefensestrategies
againstunfavorableconditions.Thesestrategiesareoften
medi-ated by changes in gene expression leading to the production
ofproteinsthatarethoughttobepossiblyinvolvedintolerance
Abbreviations:2-DE,two-dimensionalgelelectrophoresis;ADF4,actin depoly-merisingfactor4;ADH,alcoholdehydrogenase;ALDH,aldehydedehydrogenase; ANPs,anaerobicproteins;APX,ascorbateperoxidise;CBB,Comassiebrilliantblue; CBL,CalcineurinB-likeprotein;CIPKs,CBL-interactingproteinkinases;GSTU, glu-tathioneS-transferase;IEF,isoelectricfocusing;IPG,immobilizedpHgradient;MS, massspectrometry;PDC,pyruvatedecarboxylase;ROS,reactiveoxygenspecies; sHSPs,smallheatshockproteins;SOD,superoxidedismutase;TUBA1,tubulin␣-1 chain;Usp,universalstressprotein.
∗ Correspondingauthorat:PlantLab,InstituteofLifeSciences,ScuolaSuperiore Sant’Anna,PiazzaMartiridellaLibertá33,56127Pisa,Italy.Tel.:+390502211585; fax:+390502211581.
E-mailaddress:p.perata@sssup.it(P.Perata).
(Timperio et al., 2008). One of the most important stresses in
cropsisflooding,whichdecreasesoxygenandlightsupplytothe
submergedpartsofplants,negativelyaffectingcropproductivity
(Bailey-SerresandVoesenek,2010).Becausegasdiffusioninwater
isveryslow,thesubmergedplantexperiencesdrasticchangesin
oxygen,CO2 availabilityaswellasethyleneentrapment(
Bailey-SerresandVoesenek,2010).Oxygendiffusestenthousandtimes
slowerinwatercomparedtoair(Armstrong,1980).Insubmerged
plants,leaves,asaresultofphotosynthesis,mayhaverelatively
highoxygencontent,whilerootsareoftenveryhypoxic(
Bailey-SerresandVoesenek,2010).
Rice(Oryzasativa)isthestaplefoodofmorethan50%ofthe
world’spopulation. Theability ofriceseedstogerminateunder
anoxicconditionsallowsthedirectsowingofrice,whichismore
economicalthattransplanting(PerataandAlpi,1993;Magneschi
andPerata,2009).Indeed,inthetropics,ricesowingisusually
per-formedbydistributingseedsinpaddyfieldsthataresubmergedby
water(Yamauchietal.,2000).
During rice germination, the coleoptile grows much faster
whensubmergedcomparedtotheaerobiccoleoptile,enablingthe
seedlingtoreachthewatersurfaceandthusescapefromthe
unfa-vorablelowoxygenenvironment(MagneschiandPerata,2009).
Thismakesstudyofthericecoleoptileofinterestforbothplant
biologyandagronomy.Norootandprimaryleafgrowthisobserved
in riceseedlings germinated underanoxia,a traitthat helpsto
saveenergy beforethecoleoptile tipreachesthewatersurface.
Underlowoxygenstress,ametabolicadjustmenttakesplaceto
0176-1617/$–seefrontmatter © 2011 Elsevier GmbH. All rights reserved. doi:10.1016/j.jplph.2011.07.009
copewiththisunfavorablecondition.Oneofthemajorchangesis
inthecarbohydratemetabolism(Geigenberger,2003;Licausiand
Perata,2009).Ricehastheabilitytodegrade starchevenunder
anoxia,duetothepresenceofamylolyticenzymeactivities,which
areeitherabsentorinactiveinothercerealssuchaswheatand
barley(anoxicintolerantcereals)(Perataetal.,1998).Theseresults
intheuseofthestarchyreserves,withconcomitantATP
produc-tionthroughthefermentativepathway,thusenablingricegrainsto
germinateeveninthecompleteabsenceofoxygen(Guglielminetti
etal.,1995).
Amicroarrayanalysisofgeneexpressioninanoxicrice
coleop-tiles revealed a wide range of differentially expressed genes
(Lasanthi-Kudahettigeet al.,2007), indicating thatanoxiacould
involvethecross-talkofpathwaysinvolvedindifferentstresses
fromanoxia,suchasheat.Indeed,heatacclimationcanincrease
theanoxiatoleranceofArabidopsisseedlings(Bantietal.,2010).
Thesestudiesshedlightonsomeoftheprocessesactivatedduring
lowoxygenstress,butdonotanswerallofthepertinentquestions.
Proteomicstudiesonplantsexposedtolowoxygenstresshave
shownthat, inadditiontotheexpressionof classicalanaerobic
proteins(ANPs), there is also expression of proteinsrelated to
othermechanisms,suchasreactiveoxygenspecies (ROS)
scav-engersand proteinsynthesis inwheat(Kong etal.,2010), heat
stressresponseinsoybean(Hashiguchietal.,2009),intracellular
traffickinginmaize(Changetal.,2000),gibberellinbiosynthesis,
hemebiosynthesis,andcellwalldegradationintomatoes(Ahsan
etal.,2007).
Despite theextensive knowledge available ontheeffects of
anoxiaatatranscriptomiclevel,noadequateworkhasyetbeen
doneataproteomiclevelinrice,withtheexceptionofthreereports
byMujeretal.(1993),Millaretal.(2004),andHuangetal.(2005).
InthestudybyMujeretal.(1993),riceseedlingsweregrownunder
anoxiaimmediatelyafterseedimbibition;however,their
identifi-cationwasbasedontheimmunoblottingofaverylimitednumber
ofknownANPs.Millaretal.(2004)restrictedtheirstudyto
mito-chondrialproteinsextractedfromriceseedlingsgrownforsixdays
underanoxiaandthentransferredtoairforoneday,whileHuang
etal.(2005)grewseedlingsinairandthenexposedthemtoanoxia.
In this work,rice seedswere germinated inanoxia and the
anoxiccoleoptileproteomewascomparedtotheaerobiccoleoptile.
Weusedanoxiabecause,undertheseexperimentallycontrolled
conditions,itispossibletoidentifychangesthataredue tothe
lack of oxygen only, uncoupling the metabolic and molecular
adjustmentinthecoleoptileinresponsetoanoxiafromother
con-sequencesofsubmergence,suchasethyleneentrapmentbywater
(Bailey-SerresandVoesenek,2010).Ouraimwastoidentify
dif-ferentiallyexpressedproteinsunder anoxiaand to followtheir
expressionlevelsatdifferentstagesofcoleoptileelongation.
Materialsandmethods
Seedssterilizationandgrowth
Rice(OryzaSativa,cv.Arborio) seedsweresurface sterilized
using a diluted sodium hypochlorite solution (1.7%, v/v) and
washedwithdistilledsterilewaterseveraltimes.Seedswere
ger-minatedat28◦CinthedarkinPetridishescontainingfivesterile
filterpaperdisks,soakedwith8mLofdistilledsterilewater.Forthe
anoxictreatments,seedsweregerminatedinsideananoxic
cham-ber(Anaerobic Systemmodel1025;FormaScientific)afterseed
imbibitionasdescribedbyLasanthi-Kudahettigeetal.(2007).The
primaryleafandrootdidnotelongateunderanoxia.Weselected
four-day-oldseedlingstoperformtheinitialproteinprofiling,since
atthisgrowthstageboththeaerobicandanoxiccoleoptileswere
largeenough to enable them to berapidly dissected from the
seedlings.Inthetimecourseexperiment,coleoptileswerecollected
from3-,4-,5-and6-day-oldgrownriceseedlings.Coleoptileswere
dissectedandimmediatelyfrozeninliquidnitrogen,andstoredat
−80◦CforproteinandtotalRNAextraction.
Proteinextractionandquantification
Solubleproteinswereextractedfromricecoleoptilesaccording
toYangetal.(2007),withsomemodifications.Coleoptileswere
groundinliquidnitrogenandhomogenizedwith1mLofextraction
buffer(5Murea,2Mthiourea,40mMTris–HCl,2%,CHAPS,50mM
DTT).Thehomogenateswerecentrifugedfor15minat15,000×g.
SupernatantswereprecipitatedusingTCA(15%,v/v)containing
0.007%-mercaptoethanolinacetoneat−20◦Cfor2handthen
at4◦Cfor a minimumof 2h. Sampleswerecentrifugedat4◦C
for15minat14,000× g,supernatantswerediscardedandpellets
werewashedtwicewithicecold acetonecontaining0.007%
-mercaptoethanol.Pelletsweredissolvedina rehydrationbuffer
(5Murea,2Mthiourea,4%,CHAPS,40mMDTT).Protein
quantifi-cationwasperformedusingaBradford-basedassaykitassay(Bio
RadHercules,CA),usingbovineserumalbuminasastandard.
2Delectrophoresis
Isoelectricfocusing(IEF)oftotalproteinswasperformedusing
18cm-longimmobilizedpHgradient(IPG)strips,pH3–10non
lin-earandpH4–7.Theproteinsamplewasmixedwitharehydration
buffer,0.5%IPGbuffer(v/v)ofrespectivepHrangeand0.002%
bro-mophenolbluetoafinalvolumeof340LandloadedontotheIEF
strips.SampleswereloadedontoIPGstripsbypassiverehydration.
Foranalyticalgels,performedtoobtainthesilver-stainedprotein
maps,100goftheproteinsamplewasloaded.Insteada500g
samplewasloadedforthepreparativegelsstainedwithmass
spec-trometry(MS)compatiblesilvernitrateand1mgofthesamplewas
loadedforCoomassiebrilliantblue(CBB)staining.IEFwascarried
outat200Vfor3h,1000Vfor1h,2000Vfor1h,3500Vfor1h
and35kVhusingtheMultiphoreIIsystem(Amersham
Pharma-ciaBiotech).BeforerunningtheseconddimensionSDS-PAGE,IPG
stripswereequilibratedtwiceinanequilibrationbuffer(6Murea,
30%glycerol(v/v),50mMTris–HCl,2%)SDSfor15min.Thefirst
equilibrationwasdoneusing1.2%DTT(w/v)inanequilibration
buffer,whileinthesecondequilibration,DTTwasreplacedby1.5%
iodoacetamide(w/v).SDS-PAGEwasperformedusing12.5%
poly-acrylamidegelsat15◦CusingaBioRadProteanIIXI(20cm×20cm)
verticalgelelectrophoresischamber.Aftercompletionofthe
elec-trophoresis,gelswerefixedandstained.
Theanalytical gelswerestainedfor imageanalysiswith
sil-vernitrateasdescribedbyOakleyetal.(1980),whilefortheMS
analysis,thepreparativegelswerestainedwithCBBaccordingto
themanufacturer’sinstructions,andMScompatiblesilvernitrate
stainingwasperformedasdescribedbyMortzetal.(2001).Three
independentbiologicalreplicates,eachwithfourtechnical
repli-cateswererunfortheanalyticalgels.Inthetimecourseexperiment,
threeindependentbiologicalreplicateswererun,eachwithtwo
technicalreplicates.
Gelimageandstatisticalanalysis
Thesilverstainedanalyticalgelswerescannedat300dpi
reso-lutionandsavedasTIFimagesforimageanalysis.Thetwobestgels
wereselectedoutofeachbiologicalreplicatesetoffour.Spot
detec-tionandquantificationwereperformedusingNonlinearProgenesis
SameSpotssoftware(NonlinearDynamics,NewcastleuponTyne,
UK,version4.0).Imagesweresubjectedtomanualaswellas
auto-maticalignment.Bothaerobicandanoxicpairwisecomparisons
Fig.1. Representative2DEmapofricecoleoptilesexcisedfrom4-daygrownriceseedlingsinairandanoxia.Thedifferentiallyexpressedeighty-eightproteinsstudiedare numberedonthegels.GelswerestainedwithsilvernitrateandimageanalysiswasperformedusingNonlinearProgenesisSameSpotsoftware.
werecalculatedusingthesoftwarementionedabove.Allspotswere
pre-filteredandmanuallycheckedbeforeapplyingthestatistical
analysisofvariancecriteria(p<0.05andfold>1.5).Statistical
anal-ysisofcontinuousdata(spotnormalizedvolume)wasevaluated
usingthenon-parametricKruskal–Wallistest(GloverandMitchell,
2002).Thespotsthatshowedsignificantandreproduciblechanges
wereselectedforMSanalysis.
In thetime courseexperiment, silver stained analytical gels
werescannedandanalyzedusingthesoftwaredescribedtoobserve
theproteinexpressionbehaviorofselectiveproteinspotsat
dif-ferenttimepoints.Threeindependentbiologicalreplicateswere
analyzed,eachwithtwotechnicalreplicates.
TrypsindigestionandproteinidentificationbyMALDI-TOFMS
Protein spots of interest were excised from gels, reduced,
alkylated, and in-gel digested overnight with bovine trypsin
(Roche Diagnostics Corp.) as previously described (Shevchenko
etal., 1996).Aliquotsof digestedsamples(1L)were usedfor
MALDIanalysisbythedried-droplettechnique,using
␣-cyano-4-hydroxycinnamicacidasamatrix.Thetrypticdigestsweredesalted
and concentrated when needed, beforesample loading onthe
target.MassspectrawereobtainedusingaMALDI-TOFVoyager
DE-STRfromAppliedBiosystems/MDSSciex.Ionsweregenerated
byirradiationwithapulsednitrogenlaser(337nmUV,pulse
dura-tion3ns,pulserate3Hz)andpositiveionswereacceleratedand
detectedinthereflectormode. Instrumentsettingswereas
fol-lows:accelerating20,000V,grid64%,guidewire0%,delaytime
200ns,shots/spectrum100,massrange750–4000Daandlowmass
gate700Da.Spectrawereinternallycalibratedusingtrypsin
autol-ysisproductsandacquiredviaVoyagerControlPanel5.10(Applied
Biosystems). Once acquired, spectra were processed with Data
Explorer4.0(AppliedBiosystems).
MALDI-TOFdataledtoextractedandmanuallycurated
pep-tidemonoisotopicpeaklists(deprivedfromtrypsinandthemost
commonkeratinsignals)whichweresearchedfor inthetarget
databaseasdetailedbelow.Peaklistswerealsosearchedfor(via
MascotDaemon2.2.2),firstinacustom(trypsinandcommon
ker-atins)contaminantdatabasederivedfromthepubliclyavailable
cRAP repository.Unmatched signals were then searched for in
themostrecentUniProtKBdatabaseavailableatthetimeofthe
analysis,eitherwithO.sativaasataxonomyfilterorwithout
(ver-sion201007,11656695sequences,144347O.sativasequences),
withanin-houseMascotServer2.2.07(MatrixScience,London,
UK)(Perkinsetal.,1999).Masstoleranceformonoisotopicdata
onpeptides wasset to50ppm. Searches wereperformed with
trypsinspecificity,alkylationofcysteinebycarbamidomethylation,
andoxidationofmethionineasfixedandvariablemodifications,
respectively;twomissedcleavageswereallowedfortrypsin
speci-ficity;asignificancethresholdofp<0.05wassetfortheprobability
basedMascotMowseScore.
TotalRNAextractionandrealtimePCR
Total RNA was extracted from coleoptiles of 3-, 4-, 5- and
6-day-old grown rice seedlings in air and anoxia as
previ-ouslydescribed (Perataet al.,1997)witha minor modification
(omissionof aurintricarboxylicacid)tomaketheprotocol
com-patible with the subsequent PCR procedures. Electrophoresis
using a 1% agarose gel was performed for all RNA samples
to check for RNA integrity, followed by
spectrophotomet-ric quantification. Contaminating DNA was removed using a
TURBO DNA-free kit (Ambion, http://www.ambion.com/). RNA
was then reverse-transcribed using an iScriptTM cDNA
Syn-thesiskit(BioRad Laboratories,http://www.bio-rad.com).Genes
corresponding to our proteins of interest were identified by
searching for the relative Accession Number (Table 1) in
theUniProtKBandGramenedatabases(http://www.uniprot.org;
http://www.gramene.org), and confirmed by BLAST. Expression
analysis of thesegenes was performedby real-time PCR using
an ABIPrism7300sequence detectionsystem (Applied
Biosys-tems).QuantitativePCRwasperformedusing20ngcDNAandiQTM
SYBR® Green Supermix (BioRad Laboratories),according to the
manufacturer’sinstructions. Expressionsof Actin1wereusedas
endogenous controls.Relativeexpressionlevelswerecalculated
usingGenorm(http://medgen.ugent.be/∼jvdesomp/genorm).For
alistoftheprimersusedseeTableS2.
Resultsanddiscussion
Theanoxicproteomeofricecoleoptiles
AcomparisonofthecoleoptileproteomeusingapHrange3–10
revealedthepresenceofthemajorityofspotsinapHrangefrom4
to7(Fig.S1).ThispHrange(4–7)wasusedforboththeimage
anal-ysisandproteinidentificationandenables697proteinspotstobe
detected(Fig.1).Ofthese,severalshowedvariedproteinamounts
underanoxia(Fig.2A).
Eighty-eightproteinspots(seeTable1)wereclassifiedas
Table1
Listofthe88differentiallyexpressedspotsinresponsetoanoxia,detectedbycomputer-assisted2Dgeldifferentialanalysis.Ofthese88spots,50wereupregulatedand38 weredownregulatedcomparedtotheaerobiccontrol.Dataaremeansofthreeindependentbiologicalreplicates,eachwithtwotechnicalreplicates(±SD).
SpotNo. Averagenormalizedvolumes Up/downregulatedunderanoxia Foldchange Anova(P)
Air Anoxia 1 809,887.074 13,387,237.86 Upregulated 16.5 3.71E−05 2 697,491.048 6,454,747.607 Upregulated 9.3 2.23E−05 6 2,093,713.578 10,282,758.14 Upregulated 4.9 1.51E−04 8 1,425,023.523 5,865,497.814 Upregulated 4.1 0.002 9 2,062,329.974 8,179,294.715 Upregulated 4 8.96E−05 11 3,497,341.193 12,811,668.07 Upregulated 3.7 2.90E−04 12 1,243,173.646 4,440,932.227 Upregulated 3.6 0.009 14 11,134,687.21 3,206,564.674 Downregulated −3.5 1.06E−04 15 7,678,815.653 25,923,112.07 Upregulated 3.4 2.93E−04 16 7,224,776.399 2,149,196.316 Downregulated −3.4 8.38E−04 18 2,425,251.507 7,756,404.819 Upregulated 3.2 7.34E−04 21 5,756,297.889 1,828,252.981 Downregulated −3.1 0.001 24 6,159,896.075 2,058,463.669 Downregulated −3 0.003 25 6,176,000.983 2,106,993.013 Downregulated −2.9 1.08E−04 26 2,385,483.215 819,545.408 Downregulated −2.9 0.002 27 1,803,315.284 624,398.938 Downregulated −2.9 0.013 29 5,514,657.578 2,025,267.11 Downregulated −2.7 0.001 30 1,823,852.826 670,619.955 Downregulated −2.7 0.001 31 30,418,561.08 11,259,279.05 Downregulated −2.7 0.002 37 3,611,450.684 1,394,578.579 Downregulated −2.6 0.01 38 15,245,727.45 5,890,943.773 Downregulated −2.6 0.003 39 10,417,752.33 26,906,752.81 Upregulated 2.6 0.005 40 1,619,991.445 4,179,302.284 Upregulated 2.6 1.98E−04 42 2,000,220.737 785,990.497 Downregulated −2.5 0.008 44 9,112,906.543 3,610,193.317 Downregulated −2.5 5.53E−04 45 3,219,968.976 1,276,754.329 Downregulated −2.5 0.006 47 9,750,986.149 24,419,397.79 Upregulated 2.5 0.002 48 10,756,341.83 4,296,755.745 Downregulated −2.5 0.004 50 22,923,033.32 9,298,967.994 Downregulated −2.5 0.016 51 14,389,763.77 35,074,269.43 Upregulated 2.4 0.005 53 6,901,579.1 2,910,492.28 Downregulated −2.4 8.38E−04 55 2,416,064.321 5,725,941.264 Upregulated 2.4 0.014 56 731,881.273 1,717,026.509 Upregulated 2.3 0.008 58 1,417,327.656 3,304,112.279 Upregulated 2.3 4.62E−04 62 35,178,293.6 15,481,911.33 Downregulated −2.3 4.92E−04 63 1,442,453.961 3,255,153.968 Upregulated 2.3 1.28E−04 64 21,573,952.39 9,574,372.451 Downregulated −2.3 0.013 65 1,179,093.11 2,633,717.341 Upregulated 2.2 0.004 66 4,309,783.451 9,543,263.253 Upregulated 2.2 0.003 71 476,876.711 1,021,940.022 Upregulated 2.1 0.007 72 1,281,453.287 2,741,179.283 Upregulated 2.1 0.012 73 10,300,920.06 22,009,666.74 Upregulated 2.1 0.009 74 2,377,634.493 1,118,357.942 Downregulated −2.1 0.007 75 2,859,272.234 1,348,655.065 Downregulated −2.1 0.005 77 4,018,152.481 8,449,523.963 Upregulated 2.1 0.008 78 6,720,247.643 14,121,288.68 Upregulated 2.1 0.009 81 5,231,732.159 10,955,185.05 Upregulated 2.1 0.007 82 7,073,896.846 14,742,957.3 Upregulated 2.1 0.002 84 5,928,866.678 12,303,676.01 Upregulated 2.1 0.003 86 3,438,677.888 7,090,899.107 Upregulated 2.1 0.009 91 6,755,760.913 3,330,838.259 Downregulated −2 0.001 93 13,395,835.78 26,860,516.35 Upregulated 2 0.008 96 6,881,488.375 3,533,731.683 Downregulated −1.9 0.008 97 2,673,583.442 5,163,594.869 Upregulated 1.9 0.015 100 1,658,378.314 874,472.317 Downregulated −1.9 0.01 101 1,592,540.892 848,938.939 Downregulated −1.9 0.011 102 4,682,937.711 8,736,977.292 Upregulated 1.9 0.006 103 8,079,279.437 15,000,904.34 Upregulated 1.9 0.01 104 10,895,828.18 20,185,483.54 Upregulated 1.9 0.008 105 3,033,016.28 1,649,344.549 Downregulated −1.8 0.009 106 13,887,516.82 25,262,406.19 Upregulated 1.8 0.012 107 1,688,294.244 3,059,186.138 Upregulated 1.8 0.008 109 30,429,653.81 16,818,484.77 Downregulated −1.8 0.007 110 24,057,811.47 43,303,170.06 Upregulated 1.8 0.008 111 2,744,010.038 4,923,743.641 Upregulated 1.8 0.008 112 3,796,960.538 6,762,507.21 Upregulated 1.8 0.008 114 8,996,813.426 15,810,775.53 Upregulated 1.8 0.006 116 1,422,843.201 811,651.811 Downregulated −1.8 0.004 121 763,768.962 1,317,673.049 Upregulated 1.7 0.011 122 3,289,314.111 1,921,674.619 Downregulated −1.7 0.012 124 5,837,238.587 3,420,239.099 Downregulated −1.7 0.008 125 2,715,452.031 4,620,751.879 Upregulated 1.7 0.004 126 1,676,296.796 991,997.911 Downregulated −1.7 0.014
Table1(Continued)
SpotNo. Averagenormalizedvolumes Up/downregulatedunderanoxia Foldchange Anova(P)
Air Anoxia 128 1,148,833.916 1,926,313.481 Upregulated 1.7 0.01 130 21,608,938.63 13,015,000.59 Downregulated −1.7 0.008 131 3,198,037.965 1,927,492.039 Downregulated −1.7 0.016 136 4,078,336.13 6,683,013.981 Upregulated 1.6 1.15E−05 137 40,546,040.62 66,171,905.49 Upregulated 1.6 0.015 138 1,337,063.635 821,379.51 Downregulated −1.6 0.015 139 2,648,071.763 4,298,426.466 Upregulated 1.6 0.01 141 4,749,689.549 7,648,222.499 Upregulated 1.6 0.009 151 5,060,813.35 7,911,604.135 Upregulated 1.6 0.014 153 2,568,287.808 1,651,791.083 Downregulated −1.6 0.016 157 23,908,830.13 36,192,291.71 Upregulated 1.5 0.001 163 12,014,503.63 8,014,267.204 Downregulated −1.5 3.25E−05 167 8,342,022.254 5,587,792.056 Downregulated −1.5 0.012 172 9,574,491.721 13,938,700.71 Upregulated 1.5 0.005
electrophoresis(2-DE)geldifferentialanalysis(Fig.1).Ofthese,50
spotswereupregulatedand38weredownregulatedcomparedto
theaerobiccontrol(Table1;Fig.2B).Forty-ninespotswereexcised
frompreparativegelsformassspectrometry(MS)analysis.
Thirty-onespotswereidentifiedsuccessfullyusingMALDI-TOFMSand
twenty-fourunivocallycorrespondedtoasingleprotein(Table2;
Fig.2B),whereastheremainingsevencorrespondedtomorethan
one(TableS1).
The identified proteinswere classified into elevendifferent
functionalcategories, basedontheUniProtKBdatabase
classifi-cation:redoxhomeostasis(17%),carbohydratemetabolism(20%),
Smallheatshockprotein(sHSP)andchaperon(10%),signal
trans-duction (3%), protein synthesis (5%), protein degradation (2%),
aminoacidsynthesis(2%),cellstructurerelated(5%),hormones
(10%),secondarymetabolism(2%),andothers(24%)(Fig.S2).
HavingidentifiedthespotslistedinTable2,weperformedatime
courseexperiment aimedatanalyzingboth theproteinandthe
mRNAprofilesof23differentiallyregulatedproteins.Theprotein
expressionpatternsandtheirrespectivetranscriptsareshownin
Fig.S3.
Proteinsinvolvedinthestressresponse
Under anoxia, plants switch from aerobic to anaerobic
res-piration (Licausi and Perata, 2009).Several genes encoding for
carbohydratemetabolismandfermentativeenzymesareinduced
intheanoxicricecoleoptile(UmedaandUchimiya,1994;
Lasanthi-Kudahettigeetal.,2007).Ethanolicfermentationisanimportant
pathwaywhenalackofoxygenhampersmitochondrialATP
pro-duction and it is often related to the survival of plants under
lowoxygenstress.Ethanolicfermentationrequirestwoenzymes,
namelyalcoholdehydrogenase(ADH)andpyruvatedecarboxylase
(PDC)(Bailey-SerresandVoesenek,2010).
Table2
ProteinsidentifiedbyMALDITOFMS.(a)SpotnumbersrefertothenumbersshowninFig.1;(b)accessionnumberontheUniProtKBdatabase;(c)Theoreticalmolecular massinkDa(MM)andIsoelectricpoint(pI);(d)MolecularmassinkDa(MM)andisoelectricpoint(pI)ascalculatedfromthegelinFig.1;(e)MASCOTscore;(f)PQrefers tototalpeptideperquery;(g)MPreferstomatchedpeptidessearchedforbyMASCOT;(h)SCmeanssequencecoveragesearchedforbyMASCOT;(i)functionalcategory basedonUniProtKBdatabase(RH,Redoxhomeostasis;CM,CarbohydratemetabolismSHC,sHspandChaperon;PS,Proteinsynthesis;PD,Proteindegradation;ST,Signal transduction;AS,Aminoacidsynthesis;CS,Cellstructure;HR,Hormones;SM,Secondarymetabolism;OT,others.
SpotNo.(a) Protein name UniProtKB Acc.No.(b) Theo.MM kDa/pI(c) Exp.MM kDa/pI(d) Mascot score(e) PQ(f) MP(g) SC%(h) Funct. Cat.(i) Evalue 2 Universalstressprotein Q10MK7 19.2/5.01 19.0/4.93 72 15 5 31.70 OT 8.70E−03 6 24.1kDaheatshockprotein,mitochondrial Q6Z7V2 24.08/6.88 20.0/5.48 196 29 16 56.80 SHC 3.60E−15 14 PutativeCCTchaperoningammasubunit Q5Z6U5 61.31/6.23 90.0/6.87 157 31 17 34.20 SHC 2.90E−11 15 18.0kDaclassIIheatshockprotein Q5VRY1 18.13/5.61 18.0/5.39 108 13 8 39.2 SHC 2.30E−06 16 IAA-aminoacidhydrolaseILR1-like3 Q851L5 44.07/5.44 50.0/5.48 172 36 16 46.8 HR 9.10E−13 21 Putativeisoflavonereductase Q9FTN5 33.48/5.69 35.0/5.8 131 30 12 48.4 SM 1.10E−08 42 Putativeuncharacterizedprotein Q9AX68 40.11/7.64 53.0/6.61 104 27 10 30 OT 5.70E−06 45 MitochondrialaldehydedehydrogenaseALDH2a Q9LRI6 59.15/6.24 60.0/6.03 98 58 16 33.1 CM 2.60E−05 47 CalcineurinB-likeprotein5(CBL5) Q3HRP2 25.13/4.79 18.0/6.10 71 12 5 20.2 ST 1.30E−02 48 OSIGBa0152K17.4protein(NADH-dependent,
oxidoreductase,aldo/ketoreductasefamily protein)
Q01J83 36.25/5.81 37/6.03 171 23 13 38.1 RH 1.10E−12
51 Glucoseandribitoldehydrogenasehomolog Q75KH3 32.47/5.76 36/5.75 71 21 7 26 CM 2.80E−04 62 ProbableglutathioneS-transferaseGSTU6 Q06398 25.69/5.82 25/5.76 98 33 9 42.8 RH 2.30E−05 73 Proteasomesubunitbetatype-1(PBF1) O64464 24.60/6.43 24/6.36 105 11 7 38.5 PD 4.60E−06 74 l-Ascorbateperoxidase2,cytosolic(APX2) Q9FE01 27.21/5.21 29/4.92 57 15 5 29.5 RH 5.90E−03 86 IAA-aminoacidhydrolaseILR1-like3 Q851L5 44.07/5.44 51/5.50 96 30 10 26.9 HR 3.50E−05 93 Pyruvatedecarboxylaseisozyme2(PDC2) Q10MW3 65.76/5.53 70/5.71 132 43 16 29.1 CM 9.10E−09 96 PutativeglutathioneS-transferaseGST27 Q69LE6 25.12/5.53 28/5.50 81 25 7 34.5 RH 1.10E−03 109 AldehydedehydrogenaseALDH2b Q9FRX7 56.61/6.33 59/6.08 223 45 23 35.5 CM 7.20E−18 110 Glyoxalasefamilyprotein,putative Q0DT04 15.04/5.54 14/5.38 104 17 7 60.4 OT 5.70E−06 111 2,3-Bisphosphoglycerate-independent
phosphoglyceratemutase,putative
Q5QMK7 60.98/5.42 70/5.66 134 25 14 33.1 CM 5.70E−09 131 Enolase B9G3A0 49.19/5.97 59/5.29 163 23 14 38.5 CM 7.20E−12 137 40SribosomalproteinS12 Q8H2J8 15.11/5.33 16/5.27 87 24 7 57.2 PS 3.20E−04 141 Tubulinalpha-1chain,putative,expressed Q10DN0 46.53/4.89 56/5.01 170 28 15 48.1 CS 1.40E−12 157 Actin-depolymerizingfactor4(ADF4) Q84TB3 16.05/5.72 15/5.56 114 16 9 70.5 CS 5.70E−07
Fig.2. Effectofanoxictreatmentonthepatternofproteinsynthesisin4-day-grown ricecoleoptiles.(A)Averagenormalizedvolumesof697proteinspotsdetectedon 2DEgels(airandanoxia).Spotsareorderedfromthehighesttothelowest nor-malizedvolumesinair.(B)Averagenormalizedvolumesofthe88proteinspots showingdifferentialexpressionsinresponsetoanoxia.Thearrowsindicatethe31 spotswhichwereidentifiedbyMALDI-TOFMSanalysisandcorrespondtothose listedinTable1.Dataarethemeansofthreeindependentbiologicalreplicates.
Spot93wasidentifiedaspyruvatedecarboxylase(PDC2),which
convertspyruvateintoacetaldehydeandCO2.AnoxiainducedPDC2
bothattheproteinand transcriptlevels(Fig.3),whichis likely
todivert thefermentative pathway towards theproduction of
acetaldehydeand ethanolratherthantowardsthelacticacidor
alaninefermentativepathways(Tadegeetal.,1998).
Aldehydedehydrogenase(ALDH)convertsthetoxic
acetalde-hyde into acetate (Perata and Alpi, 1991). Two mitochondrial
aldehyde genes are represented in the rice genome, ALDH2a
andALDH2b.Weidentifiedaldehydedehydrogenase2a(ALDH2a,
spot45)andaldehydedehydrogenase2b(ALDH2b,spot109).The
expressionofALDH2ashowednosignificantchangesunderanoxia,
exceptatday4,whenitwasdownregulated.Instead,theALDH2a
transcriptwasstronglyupregulatedunderanoxia(Fig.3).ALDH2b
proteinandmRNAlevelswerebothlowunderanoxia(Fig.3).In
fact,ALDH2bisknowntobedownregulatedbyanoxia(Tsujietal.,
2003),whileALDH2amRNAhasbeenshowntostrongly
accumu-lateunderoxygendeprivation(Nakazonoetal.,2000).Tsujietal.
(2003)detectedincreased ALDH2a mRNAlevelsunder
submer-gence,butnocorrespondingchangeinproteinexpressionlevels,
whichisinagreementwithourresults(spot45,Fig.3).As
pos-tulatedbyNakazonoetal.(2000),theconversionofacetaldehyde
toacetatebyALDHconsumesNAD,whichcouldpotentiallyblock
glycolysis.ThismayexplainwhytheALDH2aproteindidnot
accu-mulatedespitea markedincrease initsmRNAlevel(Fig.3).On
theotherhand,ALDH2aislocalizedin themitochondria,which
shouldreducetheriskofcompetitionforNADbetweenALDH
activ-ityandglycolysis(Nakazonoetal.,2000).ThelowlevelofALDH2a
protein,togetherwiththehighinductionofitsmRNAunderanoxia,
suggestsincreasedALDH2alevelsduringpost-anoxiainorderto
metabolizeacetaldehyde.Thishypothesisdeservesfurther
inves-tigation.
Spotnumber47wasidentifiedasCalcineurinB-likeprotein5
(CBL5),upregulatedunderanoxicstressboth attheproteinand
mRNAlevels(Fig.3).CBLsareproteinsthatcontaintheEFmotif,a
commoncalciumbindingdomain.Inplants,calcium(Ca2+)levels
increaseinresponsetovariousstresses,includinganoxia(Subbaiah
etal.,1994).ThischangeincellularCa2+levelsisrecognizedby
calciumsensor proteinswithCa2+ bindingmotifs.CBL proteins
bind Ca2+, undergo conformational changes, and interact with
CBL-interactingproteinkinases(CIPKs)toactivatedownstream
sig-nalingprocesses.Thericegenomecontains10CBLsand30CIPKs,
whichinteractwitheachothertoformspecificpairs(Kolukisaoglu
etal.,2004).ArecentstudybyLeeetal.(2009)showedthatCIPK15
playsanimportantroleinthesurvivalofriceplantsunderlow
oxy-genstress.TheidentityofCBLprotein(s)thatinteractwithCIPK15
isunknown,andCBL5,whichwedemonstratedtobeupregulated
underanoxia,representsanexcellentcandidate.Experimentsare
underwaytoverifythishypothesis.
Spot 2 was identified as a universal stress protein (Usp).
The transcript for this protein, encoded by Os03g0305400 was
highly induced byanoxia, withan increase also at theprotein
level(Fig.3).Theexpressionofanotheruniversalstressprotein
(OsUsp1;Os07g0673400)wasobservedtransientlyduring
submer-gencetreatmentandmayplayaroleinethylene-mediatedstress
adaptationin rice(Sauteret al.,2002).Thefunction ofUsps in
plants,however,islargelyunknown.
sHSPsare not only expressedunder heat stress,but also in
response tootherstressesin differentplantspecies, suchasin
responsetoanoxiaandosmoticstressesinArabidopsis(Bantietal.,
2010;Sunetal.,2001),salinityinmaize(HamiltonandHeckathorn,
2001),andcoldandoxidativestressinrice(Sarkaretal.,2009;Lee
etal.,2000).sHSPsfunctionasmolecularchaperons(Sunetal.,
2002)andcanpreventthestress-dependentaggregationof
pro-teinsunderstressconditionstomaintaintheirfunctionality(Lee
etal.,1997).
Spots 6 and 15 were identified as HSPs, namely 24.1kDa
mitochondrial heat shock protein and 18.0kDa class II heat
shockprotein,respectively.Bothproteinswereupregulatedunder
anoxia.ThemRNAencodingthe24.1kDamitochondrialheatshock
proteinwashighunderanoxia,inlinewiththehighlevelofits
cor-respondingprotein.However,thetranscriptcorrespondingtothe
18.0kDaclassIIheatshockprotein(spot15)wasdownregulatedat
days4and5,whileatdays3and4itshowednochangeinresponse
toanoxia(Fig.3).However,sincetheproteinlevelofthissHSPwas
alreadyhighatday3,itistemptingtospeculatethattheprotein
accumulationobservedresultedintheexpressionofthegeneatan
earlierstageofthecoleoptiledevelopment.
Arabidopsisseedlingssubjectedtoamildheatpretreatmentcan
bettertolerateanoxia(Loretietal.,2005;Bantietal.,2008)showing
thattheheat andanoxicstressresponse pathwayspartly
over-lap.Remarkably,inArabidopsisHSP,proteinaccumulationisnot
observedunderanoxia,whereonlytheHSPmRNAsaccumulate
(Bantietal.,2010).Instead,thericecoleoptiledisplayssHSPs
pro-teinaccumulationunderanoxia(Fig.3),whichsuggeststhatHSPs
playanactiveroleinconferringtolerancetoanoxia.
Redoxhomeostasis
ROSareoftenproducedinplantsinresponsetobioticandabiotic
stresses.AlthoughROSmayactasimportantsignalingmolecules
involvedinacclimationtostress,thesecompoundsarealso
poten-tiallytoxictotheplant.TomitigatethenegativeeffectsofROS,
Fig.3. ComparisonofproteinandmRNAlevelsintermsoftheproteinsinvolvedinthestressresponse.(A)Zoom-inviewsofproteinspotsinatimecourseexperiment.A representativeimageisshown(n=3biologicalreplicates).(B)PatternofexpressionofeachproteinandcorrespondingmRNA(genenamesinTableS1)incoleoptilesofrice seedlingsgrowninair(emptycircles)andanoxia(filledcircles).ProteinexpressionlevelswerecalculatedusingNonlinearProgenesisSameSpotssoftware.Dataarethe meansofthreereplicates(±SD).Expressionlevelswerecalculatedrelativetothatof3dair=1.mRNAexpressionwasanalyzedbyrealtimeRT-PCR.Expressionlevelswere calculatedrelativetothatof3dair=1.Dataarethemeansofthreereplicates(±SD).Theasterisksindicatesignificantdifferencesbetweentreatments,butwithinthedayof germination(p<0.05).
Fig.4. ComparisonofproteinandmRNAlevelsintermsoftheproteinsinvolvedinredoxhomeostasis.(A)Zoom-inviewsofproteinspotsinatimecourseexperiment.A representativeimageisshown(n=3biologicalreplicates)(B)PatternofexpressionofeachproteinandcorrespondingmRNA(genenamesinTableS1)incoleoptilesofrice seedlingsgrowninair(emptycircles)andanoxia(filledcircles).ProteinexpressionlevelswerecalculatedusingNonlinearProgenesisSameSpotssoftware.Dataarethe meansofthreereplicates(±SD).Expressionlevelswerecalculatedrelativetothatof3dair=1.mRNAexpressionwasanalyzedbyrealtimeRT-PCR.Expressionlevelswere calculatedrelativetothatof3dair=1.Dataarethemeansofthreereplicates(±SD).Theasterisksindicatesignificantdifferencesbetweentreatments,butwithinthedayof germination(p<0.05).
Fig.5.ComparisonofproteinandmRNAlevelsintermsoftheproteinsinvolvedingrowthprocesses.(A)Zoom-inviewsofproteinspotsinatimecourseexperiment.A representativeimageisshown(n=3biologicalreplicates)(B)PatternofexpressionofeachproteinandcorrespondingmRNA(genenamesinTableS1)incoleoptilesofrice seedlingsgrowninair(emptycircles)andanoxia(filledcircles).ProteinexpressionlevelswerecalculatedusingNonlinearProgenesisSameSpotssoftware.Dataarethe meansofthreereplicates(±SD).Expressionlevelswerecalculatedrelativetothatof3dair=1.mRNAexpressionwasanalyzedbyrealtimeRT-PCR.Expressionlevelswere calculatedrelativetothatof3dair=1.Dataarethemeansofthreereplicates(±SD).Theasterisksindicatesignificantdifferencesbetweentreatments,butwithinthedayof germination(p<0.05).
peroxidase(APX),superoxidedismutase,andcatalase(Scandalios,
2002).Threespots(spots62,74,96)wereidentifiedasROS
scav-engerenzymes,namelyglutathioneS-transferaseGSTU6(spot62),
cytosolicl-ascorbateperoxidasecAPX2(spot74),andputative
glu-tathioneS-transferaseGST27(spot96).Alloftheseproteinswere
downregulatedbyanoxia(Fig.4).DownregulationofcAPX2under
lowoxygenisinaccordancewiththeresultsobtainedinsoybean
(Shietal.,2008;Hashiguchietal.,2009).Inrice,theexpression
ofAPXisalsodownregulatedafterhydrogenperoxidetreatment
(Wan and Liu, 2008).A downregulation of APXand other ROS
scavengerenzymescouldincreaseH2O2levels,whichcouldactas
signalingmoleculeunderanoxia(FukaoandBailey-Serres,2004).
Coleoptilegrowth
Twoanoxia-responsiveproteins,namelyaputativetubulin␣-1
chain(TUBA1,spot141)andactindepolymerisingfactor4(ADF4;
spot157)arepossiblyinvolvedinthefastgrowthofcoleoptiles
underanoxia.
Tubulin ␣-1 chain (TUBA1; spot 141) was upregulated in
response to anoxia, while its respective transcript remained
unchangedexceptatday6(Fig.5).Therearetwotypesoftubulins,
␣-tubulinsand-tubulins,whichcollectivelymakemicrotubules.
Theyplayanimportantroleinmanyplantcellularprocessessuchas
celldivision,cellshape,andelongation(MayerandJürgens,2002).
Interestingly,riceroots,whichareunabletogrowunderanoxia,
showlowlevelsoftotal-tubulinmRNAs,whereasincoleoptiles,
which are capableof anoxic elongation,high levelsof total
-tubulintranscriptshavebeenobserved(GianiandBreviario,1996).
Theseresultssuggestthattubulinsplayaroleintheanoxicgrowth
ofthericecoleoptile,althoughfurtherexperimentsarerequired
toestablishtheexactroleoftubulinsduringtheanoxiccoleoptile
growth.
Actindepolymerisingfactor 4(ADF4;spot157) was
upregu-latedbyanoxiabothatproteinandmRNAlevels(Fig.5).ADF4isan
actin-bindingproteinwhichisinvolvedintheregulationofactin
assembly(Augustineetal.,2008).Itsexpressionhasbeeninduced
in responseto differentstressessuchas drought,salt and cold
(Salekdehetal.,2002;Yanetal.,2005;Ouelletetal.,2001).Huang etal.(2005)alsoobservedtheupregulationofanactin
depoly-merisingfactor,whichistheonlyproteinincommonbetweenour
analysisandtheirs.Itisnotsurprisingthatmostproteinsdonot
matchthoseidentifiedbyHuangetal.(2005),sinceouranalysis
usedricecoleoptilescollectedfromseedlingsgrowninanoxiaafter
seedimbibition.Sinceactin depolymerisingfactorspromotethe
disaggregationofactinfilaments,itistemptingtospeculatethat
theymaybeinvolvedinthefastanoxicgrowthofthericecoleoptile
(Huangetal.,2005).
Conclusions
Riceistheonlycerealcropthatcangerminateandgrowinthe
completeabsenceofoxygen(PerataandAlpi,1993;Magneschiand
Perata,2009).However,thegrowthisrestrictedtothecoleoptile.
Anoxiaexertsadramatic effectonthericecoleoptile
transcrip-tome, with 1364 probe sets showing an increased expression
and1770probesetsindicatinga decreasedexpression,outofa
totalofabout22,500probesetsontheAffymetrixATH1
microar-ray (Lasanthi-Kudahettige etal., 2007).These numbersindicate
thatabout14%oftranscriptschangesignificantlyunderanoxia.
Remarkably,althoughtheamplitudeofchangewasmuchlower,we
founddifferentialregulationin14%oftheproteinspots.Although
themicroarraytechnologyleadstoamuchwiderexplorationof
geneexpressionattheleveloftranscriptsthanmostproteomic
approaches,ourresultssuggestthat,inricecoleoptiles,themRNA
changesobservedareaccompaniedbysimilarchangesinprotein
levels.
Whilesomeoftheidentifiedproteinsconfirmedtheimportance
ofknownpathwaysforricetolerancetoanoxia(e.g.PDC,HSPs),
otherupregulatedproteinsprovidednewcluesontheadaptationof
ricecoleoptilestoanoxia.TheidentificationofCBL5amongthe
up-regulatedproteinsmeansthatCBL5couldbeanexcellentcandidate
fortheCIPK15partner,whichhasbeenshowntoplayanimportant
roleinricetolerancetosubmergence,bothatthegerminationand
adultstages(Leeetal.,2009).
TheidentificationoftheUspencodedbyLOCOs03g19270
sug-gestedthatthisclassofproteinsmayplayanimportantroleinplant
adaptationtolowoxygen.AlthoughthefunctionofUspsinplants
isstillobscure,itisinterestingthattheyhavebeenfoundtobe
upregulatedbyanoxiainrice(LOCOs03g19270inthisstudy,and
OsUsp1,Sauteret al.,2002), aswellasinArabidopsis(Mustroph
et al.,2010).The mechanism(s)by which theanoxiccoleoptile
elongateslongerthantheaerobiccoleoptilehasremainedelusive
todate(MagneschiandPerata,2009).Inthereduced adh
activ-ity(rad)mutantinrice,elongationofthecoleoptileisrepressed
undersubmergencesuggestingthatthefermentativemetabolism
isaprerequisiteforcoleoptileelongation(Matsumuraetal.,1995).
TheincreasedexpressionoftubulinandoftheADF4indicatesthat
microtubulesand actinfilamentsmayplay a rolein theanoxic
growth ofthe coleoptile. Allof these hypotheses meritfurther
experimentalevaluation.
Acknowledgment
ISwassupportedbyaPhDfellowshipawardedbytheScuola
SuperioreSant’Anna.
AppendixA. Supplementarydata
Supplementarydataassociatedwiththisarticlecanbefound,in
theonlineversion,atdoi:10.1016/j.jplph.2011.07.009.
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