ContentslistsavailableatScienceDirect
Flora
jou rn a l h om ep a g e :w w w . e l s e v i e r . c o m / l o c a t e / f l o r a
Genetic
diversity
and
structure
of
the
tree
Enterolobium
contortisiliquum
(Fabaceae)
associated
with
remnants
of
a
seasonally
dry
tropical
forest
Patrícia
de
Abreu
Moreira
a,∗,
Murilo
Malveira
Brandão
b,
Natalia
Hayashida
de
Araujo
b,
Dario
Alves
de
Oliveira
b,
G.
Wilson
Fernandes
caDepartamentodeBiodiversidade,Evoluc¸ãoeMeioAmbiente,InstitutodeCiênciasExataseBiológicas,UniversidadeFederaldeOuroPreto,CEP35400-000
OuroPreto,MG,Brazil
bLaboratóriodeBioprospecc¸ãoeRecursosGenéticos,DBG,UniversidadeEstadualdeMontesClaros,CEP39401-089MontesClaros,MG,Brazil cEcologiaEvolutiva&Biodiversidade,DBG,ICB,UniversidadeFederaldeMinasGerais,CP486,30161-970BeloHorizonte,MG,Brazil
a
r
t
i
c
l
e
i
n
f
o
Articlehistory:
Received20January2014
Receivedinrevisedform6October2014 Accepted15October2014
EditedbyBohumilMandák Availableonline1November2014 Keywords: Geneticstructure ISSR Conservation Dryforest Brazil
a
b
s
t
r
a
c
t
Fragmentationoftropicalforestsisoneofthemajorthreatstobiodiversityandviablenatural popu-lations.Brazilianseasonallydrytropicalforests(SDTF)areendangeredbecauseofhumanoccupation, conversionoflandstoagricultureandhighdeforestationratesinthesefertilesoils.Enterolobium contor-tisiliquumhasbeenremovedfromSDTFnaturalareasduetotheadvanceofcattlegrazingandagriculture inBrazilianSDTFs.Toaidconservationeffortsofthisspeciesweusedmolecularmarkerstostudythe geneticdiversityandpopulationstructureofE.contortisiliquuminBrazilianSDTFremnants.Atotalof 263individualsin13forestpatcheswereanalyzedwith103ISSRfragments.Inspiteofbeingfound scat-teredamongtheSDTFpatches,E.contortisiliquumpopulationsexhibitedhighgeneticdiversity(mean Shannon’sindexofdiversity=0.384;meangeneticdiversity=0.280)andgeneticdivergencebetween populationswasdetected(˚ST=0.155,p<0.0001).UPGMAdendrogram,principalcoordinateanalysis
andBayesiananalysisshowedthatE.contortisiliquumpopulationswereclusteredintothreegroupsthat werenotrelatedtogeographicdistance(r=0.119,p=0.197).However,thesepopulationsarespatially structuredintogroupsdistributedintheWest,CentralandEastofthestudyarea.Thisgeneticstructure mayberelatedwithlandscapeandboththeEspinhac¸oRangeandSãoFranciscoRivermayactasa par-tialgeographicbarrierlimitingthegeneflow.Becausethehighestratesofgeneticdiversitywerefound outsideofconservationunits,weproposethecreationofprotectedareasindifferentgeographicregions thatincludeE.contortisiliquumpopulationsfromdifferentgeneticclusters.
©2014ElsevierGmbH.Allrightsreserved.
Introduction
Ongoingfragmentationoftropicalforestsisoneofthemajor threatstobiodiversityconservationandviablenaturalpopulations (Saundersetal.,1991).Thisisespeciallyworrisomeforseasonally drytropicalforests(SDTF)whichareconsideredtobeoneofthe mostendangeredtropicalecosystems(Janzen,1988;Milesetal., 2006;Steiningeretal.,2001).SDTFsoccurinregionscharacterized bypronouncedseasonalityinrainfalldistribution,where precipita-tionis<1600mm/yrwithseveralmonthsofdroughtandaperiod ofatleastfiveorsix monthsreceiving<100mm(Gentry,1995;
∗ Correspondingauthor.Tel.:+553135591214.
E-mailaddresses:patriciadabreu@yahoo.com.br,pattyabreu13@gmail.com
(P.A.Moreira).
Grahamand Dilcher,1995).SDTFsare dominatedby deciduous treeswithamoreorlesscontinuouscanopy(Mooneyetal.,1995; Sánchez-Azofeifaetal.,2005).Themostdominantplantfamilies areFabaceaeandBignoniaceae(Gentry,1995;Mayle,2004).
Thetropicaldryforestsexhibitadisjunctdistribution through-out the Neotropics (Pennington et al., 2006). The currently discontinuousdistributionofSDTFsrepresenttheremnantsofa morewidespreadandcontiguousformationduringthePleistocene thatformedthe“PleistocenicArc”(Prado,2000;PradoandGibbs, 1993).ThelargestareasofSDTFsoccurinSouthAmerica, specifi-callyinBrazil(Penningtonetal.,2006),wheretheyrepresent3.21% ofitsterritory(Sevilhaetal.,2004).Asinotherlocalities,Brazilian SDTFsareassociatedwithfertilesoilswithamoderatetohighpH andhighnutrientcontent(Espírito-Santoetal.,2009;Pennington etal.,2006).Hence,theBrazilianSDTFs patchesarenowunder severethreatsbecauseofhumanoccupation,conversionoflands http://dx.doi.org/10.1016/j.flora.2014.10.005
toagricultureand highdeforestation rates inthese fertile soils (Espírito-Santoetal.,2009).
Studiesoffragmentationeffectsinplantshaveshownthat for-estlossmayhavenegativeconsequences onreproduction,gene flowandgeneticdiversity(Aguilaretal.,2006,2008;Ledig,1992; Loweetal.,2005;Templetonetal.,1990).Thus,treesinremnant fragments couldalter matingpatterns,increase inbreeding and decreasegeneticdiversity(Aguilaretal.,2008).Therefore,the dis-junctdistributionofBrazilianSDTFanditsalterationbyhuman activitiesmaydecreasethegeneticdiversityofplantspecies.
Enterolobium contortisiliquum (Vell.) Morong is a Neotropi-caltreespecies consideredasaSDTFspecialist (Särkinen etal., 2011) and it was used to define the Pleistocenic Arc (Prado, 2000;PradoandGibbs,1993).Thespeciesflowersduringashort period,September andOctober, when itis leafless,while fruits ripenbetweenJuneandJuly(P.A.Moreira,personalobservations). ThematurefruitsandseedsofE.contortisiliquumresembleother Enterolobiumspecies.AswithE.cyclocarpum,itsfruitsaresmooth, shiny,indehiscentanddeepbrown(RochaandAguilar,2001a)and theseedsarehard,ovoidandbrown(Janzen,1982).Recently,itwas discoveredthataproteinaseinhibitorofthisspecies,Enterolobium contortisiliquumtrypsininhibitor(EcTI),inhibitedtheinvasionof gastric cancercells, providing a possiblecandidate for therapy againsttumors(Paulaetal.,2012).
Thistreehasbeenremovedfromnaturalareasowingtothe advanceofcattlegrazing andagriculturein BrazilianSDTFsdue toitspoisonousfruits.TheingestionofE.contortisiliquumpodsis harmfultocattle,causingphotosensitivityreactionsand sponta-neousabortion(Bonel-Raposoetal.,2008;Costaetal.,2009).Asa resultmanyfarmershavecutthesetreesneartheirranchesas fruit-ingofE.contortisiliquumoccursduringthedryseasonandcoincides withlowforageavailability.Thislogginghasleadtopopulations of E.contortisiliquumbecomingvulnerable in thedisjunctSDTF matrix.Hence,understandingoftheeffectsoffragmentationand selectiveloggingonthistreeisurgentlyneededforitsconservation. To betterconserve this species we usedmolecular markers to study the genetic diversity and structure in populations of
Table1
GeographicallocationandsamplingdetailsofEnterolobiumcontortisiliquum popu-lationsstudied.
Populations Populationcode Latitude/longitude Samplesize
Unaí UNA 16◦19S46◦55W 20
Paracatu PAR 17◦06S46◦50W 20
JoãoPinheiro JOP 17◦44S46◦11W 16
FelíciodosSantos FES 18◦04S43◦12W 20
Gouveia GOU 18◦37S44◦01W 22 Buenópolis BUE 17◦52S44◦10W 20 Manga MAN 14◦50S43◦57W 21 Itacarambi ITA 15◦10S44◦12W 20 Verdelândia VER 15◦34S43◦35W 15 Jequitaí JEQ 17◦15S44◦27W 20
VárzeadaPalma VAR 17◦34S44◦44W 29
Beltrão BEL 18◦22S44◦29W 20
MontesClaros MOC 16◦41S43◦56W 20
Total 263
E.contortisiliquuminBrazilianSDTFpatches.Byusingintersimple sequencerepeats (ISSRs)weaddressedthefollowing questions: (1)WhatisthelevelofgeneticdiversityinE.contortisiliquum,in selectedBrazilianSDTFpatches?(2)Howisthegeneticvariationof thisspeciesstructuredamongthesepatches?and(3)Arethere geo-graphicbarriersinthelandscapethatlimitedgeneticdistribution betweenpopulationsalongtime?
Materialsandmethods
Plantmaterialssampling
Enterolobium contortisiliquum is a common species in the BrazilianSDTFs,withadensityrangingfromthreetoeight indi-viduals per hectare(Oliveira-Filho, 2006).From 15 to 29 adult trees were sampled in 13 Brazilian SDTFpatches, totaling 263 individuals(Fig.1,Table1).Expandedleaveswerecollectedfrom allindividualtreesandstoredonsilicageluntilDNAextractions werecarriedout.EachSDTFremnantwastreatedasapopulation:
Fig.1.GeographicdistributionoftheEnterolobiumcontortisiliquumpopulationssampledforthisstudyinBrazilianseasonallydrytropicalforestpatches.Populationsare identifiedaccordingtospatialgeneticgroupsestablishedbySTRUCTURE(identifiedinthelegend).Blacklinesindicatetwobarriersamongpopulations.
Table2
ISSRprimersusedforPCRamplificationsofEnterolobiumcontortisiliquum.
Primername Sequence(5–3)a T
a(◦C)b Nc John (AG)7YC 47 10 Manny (CAC)4RC 47 7 Mao (CTC)4RC 47 6 Terry (GTG)3GGTGRC 46 14 UBC810 (GA)8T 47 9 UBC827 (AC)8G 47 10 UBC840 (GA)8YT 47 18 UBC879 (CTTCA)3 47 6 UBC880 GGAGAGGAGAGGAGA 47 11 UBC899 (CA)6RG 47 12 Total 103 aY=CorT;R=AorG.
b Annealingtemperatureofprimers.
c N=numberoffragmentsforeachprimer.Allfragmentswerepolymorphicwhen
consideringallpopulations.
Unaí(UNA),Paracatu(PAR),JoãoPinheiro(JOP),FelíciodosSantos (FES),Gouveia(GOU),Buenópolis(BUE),Manga(MAN),Itacarambi (ITA),Verdelândia(VER), Jequitaí(JEQ),VárzeadaPalma (VAR), Beltrão(BEL)andMontesClaros(MOC).
DNAextractionandISSRamplification
GenomicDNAextractionfollowedthestandardCTABprocedure (Doyle and Doyle, 1987). DNA integrity was checked by elec-trophoresison1.0%agarosegelswith1×TBEbuffer,stainedwith ethidiumbromideand photographed under UV light. The DNA obtainedwasdilutedinultrapurewateruptofinalconcentration of5.0ng/LpriortoPCRamplification.
Aninitial screening of 20 primers was undertaken for ISSR analysis.ISSRamplificationswereperformedina 15Lvolume containing20.0ngoftemplateDNA,PCRbuffer(50mmKCl,10mm, Tris–HClpH8.4,0.1%TritonX-100,Phoneutria),0.50mMMgCl2,
0.25gof BSA,250M ofeachdNTP, 10.0M ofprimerand 1 unitofTaqDNApolymerase(Phoneutria).Amplificationswere per-formedusingVeritithermalcontroller(LifeTechnologies)under thefollowingconditions:94◦Cfor4min(onecycle);94◦Cfor1min, 46or47◦Cfor1min(accordingtoeachprimer,Table2),72◦Cfor 1min(37cycles);and72◦Cfor7min(onecycle).Anegative con-trol,inwhichtemplateDNA wasomitted,wasincludedineach PCR.ISSRamplifiedproductswereseparatedelectrophoreticallyat aconstantvoltageof100Vfor4hin1.5%agarosegelswith1XTBE buffer,stainedwithethidiumbromideandphotographedunder UVlight(GelLogic212Pro,Carestream).A100-bp DNAladder
(Fermentas)wasusedasastandardmolecularweighttoestimate themolecularsizeofthefragments.
Dataanalysis
Fragments amplified by ISSR were scored as present (1) or absent(0)bymanualverificationtocreatea binarymatrix. We assumedthat amplifiedproductsofsimilarsizeusingthesame primerwerehomologous.Toobtainconsistentresults,onlydata fromclearandunambiguousbandswereusedforgeneticanalyses. Besides,thenegativecontrolwasusedineachagarosegel.Genetic diversitywasmeasuredbypercentageofpolymorphicloci(P),the observednumberofalleles(Na),effectivenumberofalleles(Ne) andShannon’sindex(I)(Lewontin,1972),usingthesoftware Pop-Genev.1.32,whichisdesignedfortheanalysisofdominantmarkers (Yehetal.,1999),assumingHardy–Weinbergequilibrium,FIS=0.
The measuresof geneticdiversity included a Bayesiananalysis (Holsingeretal.,2002),implementedinHickoryv1.0.4(Holsinger andLewis,2005).We estimatedHs,whichisanalogoustoNei’s (Nei,1978)unbiasedexpectedheterozygosity(HE).
Toestimatevariancecomponentsand topartition the varia-tionof the specieswithin and among populationsthe Analysis ofMolecularVariance(AMOVA)wasperformedusingArlequinv. 3.01(Excoffieretal.,2005).Thegeneticstructurewasestimated by10,000permutations,assumingHardy–Weinbergequilibrium, computingthedistancematrixandproportionofthedifference. Statisticalsignificanceofthevarianceproportionassociatedwith thefixationindex˚STwasdeterminedthroughpermutationtests
againstanulldistributiongeneratedbythedata.
Thepairwise B (a Bayesiananalysis analogoustoF ST) was
obtainedwith95%confidenceintervalsusingthesoftware Hick-oryv1.0.4(HolsingerandLewis,2005)forallpopulationpairsand usedtoconstructaUPGMA(unweightedpair-groupmethodwith arithmeticaverages)dendrogramusingNTSYSv.2.2(Rohlf,2000) andtocarryoutaprincipalcomponentsanalysis(PCA)withthe softwareGenAlEx(PeakallandSmouse,2006).Toverifythe iso-lationbydistanceaManteltestwasperformedusingPC-ORDv.6 (McCuneandMefford,2011).
Todeterminethenumber ofgeneticclusters(K),a Bayesian analysisofpopulationstructurewascarriedoutwiththesoftware STRUCTURE2.2.(Pritchardetal.,2007).Aburn-inperiodof100,000 generationsand100,000stepsofMarkovChainMonteCarlo sim-ulationswereusedtoestimatelnPr(X/K).Weusedtheadmixture modelandtheallelefrequenciescorrelatedmodel,withoutprior assumptionsconcerningthepopulation.ForeachKvalue,10runs werecarriedouttoverifytheconsistencyoftheresults.Theaverage Table3
Geneticdiversityparametersof13Enterolobiumcontortisiliquumpopulationsdetectedby10ISSRmolecularmarkers.
Population Na Ne Hs I P(%) UNA 1.952(0.215) 1.571(0.341) 0.339(0.007) 0.492(0.206) 95.19 PAR 1.875(0.332) 1.490(0.345) 0.313(0.008) 0.439(0.231) 87.50 JOP 1.883(0.323) 1.527(0.361) 0.316(0.009) 0.454(0.237) 79.81 FES 1.711(0.455) 1.463(0.388) 0.254(0.013) 0.390(0.283) 71.15 GOU 1.701(0.459) 1.392(0.367) 0.277(0.007) 0.349(0.273) 70.19 BUE 1.721(0.451) 1.342(0.366) 0.255(0.011) 0.315(0.264) 72.12 MAN 1.779(0.417) 1.414(0.374) 0.273(0.008) 0.369(0.264) 77.88 ITA 1.740(0.441) 1.472(0.398) 0.272(0.008) 0.392(0.283) 74.04 VER 1.659(0.476) 1.397(0.393) 0.241(0.008) 0.338(0.289) 61.54 JEQ 1.798(0.403) 1.431(0.366) 0.259(0.009) 0.385(0.258) 79.81 VAR 1.711(0.455) 1.308(0.330) 0.269(0.008) 0.302(0.249) 71.15 BEL 1.769(0.423) 1.406(0.355) 0.279(0.011) 0.370(0.258) 76.92 MOC 1.762(0.427) 1.458(0.361) 0.298(0.008) 0.401(0.265) 71.15 Mean 1.774(0.405) 1.436(0.361) 0.280(0.003) 0.384(0.258) 76.03 Species 2.000(0.000) 1.589(0.299) 0.370(0.005) 0.519(0.162) 98.78
Na=numberofallelesperlocus,Ne=effectivenumberofallelesperlocus,Hs=expectedBayesianheterozygosity(withoutassumingHardy–Weinbergequilibrium),
Table4
Analysisofmolecularvariance(AMOVA)amongandwithinEnterolobiumcontortisiliquumpopulations.
Sourceofvariation d.f. Sumofsquares Variancecomponents %Totalvariance p-Value
Amongpopulations 12 139.54 0.512 15.54 <0.0001
Withinpopulations 250 612.90 2.785 84.46 <0.0001
ThreegroupsaccordingtoBayesiananalysis
Amonggroups 2 41.472 0.15387 4.58 <0.0001
Amongpops.withingroups 10 98.071 0.41777 12.44 <0.0001
Withinpopulations 240 612.905 2.78593 82.97 <0.0001
Fig.2.UPGMAdendrogramshowingtherelationshipbasedonpairwiseBvaluesamongEnterolobiumcontortisiliquumpopulationsinBrazilianseasonallydrytropicalforest
patches.ColoredcirclescorrespondtogroupsestablishedbySTRUCTURE(seeFig.1forlegend).
ofeachlikelihoodvalueforK,‘logofprobability’[LnP(D)]through allrunsweredeterminedtoinferthenumberofgeneticclusters (Pritchardetal.,2000)andthestatisticKwasestimatedaccording toEvannoetal.(2005).Afterward,anotherAMOVAwasperformed accordingtothegroupsdefinedbythisanalysis.
ToinvestigategeneticdiscontinuitiesinspaceMonmonier max-imundifferencealgorithm(Monmonier,1973)wasimplemented bythemethodofDelaunaytriangulationusingBarrierv.2.2(Manni etal.,2004)asproposedbyLegendreand Legendre(1998)and Maneletal.(2003).
Results
From20ISSRprimerstested10wereusedandresultedin103 clearlyidentifiablefragments(Table2).Eachprimeramplifiedfrom sixto18lociandall103scoredbandswerepolymorphicatthe species leveland at populationlevelthe polymorphismranged from61.54to95.19%(Table3).Theaverageeffectivenumberof allelesperlocusatthepopulationlevelwas1.436and1.589atthe specieslevel(Table3).Thegeneticdiversity(Hs)and Shannon’s index(I)were0.370and0.519,respectively,forE.contortisiliquum. PopulationsexhibitedhighgeneticvariabilitywithmeanHsandI equalto0.280and0.384,respectively.TheVERpopulationshowed thelowestgeneticdiversity(Hs=0.241,I=0.338)whiletheUNA populationshowedthehighestdiversity(Hs=0.339,I=0.492).
Mostofthevariationwasfoundamongindividualswithinthe samepopulation(84.46%)andonly15.54%ofthevariationoccurred amongpopulations(Table4),whichimpliessignificantlyhigh aver-agefixationindices(˚ST=0.155,p<0.0001).TheE.contortisiliquum
populations groupedinto three main clusters(Fig.2).The first clustercorrespondedtoUNA,PAR,JOP,ITAandMANpopulations, thesecondclustercorrespondedtoVER,JEQ,BEL,VAR,BUEand GOUpopulations,andfinallyathirdclustercorrespondedtoFES
andMOCpopulations(Fig.2).ThepairwiseBrangedfrom0.054
(betweenUNAandJOP)to0.392(betweenVARandFES).The high-estgeographicdistancewasamongFESandUNApopulationswhich showedB=0.231andthenearestdistancewasamongVARand
JEQpopulationswhichshowedB=0.271(Table5).Nosignificant
correlationwasfoundbetweengeographicaldistanceandgenetic distance(r=0.119,p=0.197).
PCAresultswereconsistentwithUPGMAdendrogram, group-ingthesamepopulationsofUPGMAanalysis.Thefirsttwoaxes explained mostof thetotal variability(axis 1=39.95% and axis 2=26.30%)(Fig.3).TheBayesianapproachshowedthatthe num-berofgeneticgroups(Kvalue)whichbestfitourdatawasK=3 (Fig.4A).ThesegroupsaresimilartotheclusteroftheUPGMA den-drogramand thethreegroupsappear tobespatially structured withthefirstgrouplocatedattheWest,thesecondgrouplocated attheCentralandthethirdgrouplocatedattheEastofthestudy area(Figs.1and4B).IntheAMOVAclusteringthepopulationsin
Fig.3.PrincipalcomponentsanalysisbasedontheEnterolobiumcontortisiliquum populationsdistancematrix.Axes1and2explained39.95and26.30%ofthe varia-tion,respectively.Thecolorsofpopulationsareaccordingtogroupsestablishedby STRUCTURE(seeFig.1forlegend).
Table5
MatrixofpopulationpairwiseB(belowdiagonal)andgeographicdistanceinkm(abovediagonal)among13Enterolobiumcontortisiliquumpopulations.
UNA PAR JOP ITA MAN VER JEQ BEL VAR BUE GOU FES MOC
UNA – 98 173 323 361 370 282 348 271 341 397 442 323 PAR 0.073 – 102 356 398 386 253 287 225 295 340 402 312 JOP 0.054 0.082 – 353 393 370 191 194 154 214 251 320 268 ITA 0.194 0.224 0.133 – 49 79 234 358 272 297 380 337 170 MAN 0.178 0.191 0.143 0.251 – 95 275 400 317 338 422 370 206 VER 0.238 0.286 0.175 0.244 0.199 – 210 328 253 264 346 281 129 JEQ 0.202 0.239 0.171 0.253 0.193 0.139 – 125 48 77 160 163 80 BEL 0.271 0.259 0.215 0.326 0.228 0.152 0.061 – 93 67 56 141 196 VAR 0.333 0.327 0.282 0.356 0.275 0.264 0.271 0.213 – 69 139 174 130 BUE 0.279 0.298 0.243 0.333 0.246 0.163 0.229 0.185 0.069 – 88 106 132 GOU 0.243 0.277 0.202 0.325 0.260 0.256 0.179 0.158 0.351 0.273 – 109 216 FES 0.231 0.286 0.234 0.341 0.337 0.365 0.373 0.367 0.392 0.321 0.283 – 172 MOC 0.237 0.248 0.238 0.341 0.332 0.341 0.347 0.339 0.368 0.310 0.261 0.115 –
threegroups(assuggestedbyBayesiananalysis)4.58%ofthetotal variationwasfoundamongthegroupsand12.44%among popula-tionswithingroups.Again,mostofthevariationwasfoundamong individualswithinthesamepopulation(82.97%)(Table4).
TheDelaunaytriangulation,usedtoindicatethegenetic discon-tinuitiesgeneratedbybarriersinthelandscape,revealedthatthere aretwokeybarriers(Fig.1).Themostintense(barrier‘a’)separates populationsbelongingtotheEastgroupandthesecond(barrier‘b’) separatesmostofthepopulationsoftheCentralgroup(VAR,BUE, BELandGOU).
Discussion
TheISSRmarkersrevealedhighlevelsofgeneticdiversityof Enterolobiumcontortisiliquumpopulationsandthisdiversityis sim-ilartootheroutcrossingspeciesanalyzedwithanotherdominant molecularmarker,RAPD which estimates are comparable with ISSR(Nybom,2004).Thehighlevelsofgeneticdiversityfoundin E.contortisiliquumpopulations(Hs=0.280,I=0.384)aresimilarto otherLeguminosaespeciesasDerristrifoliata(Wuetal.,2012)and Ormosiahosiei(Zhangetal.,2012)andishigherthanfortwoother treespeciesfromtheBrazilianCerrado,Dimorphandramollisand Dimorphandrawilsonii(SouzaandLovato,2010).Thehighergenetic diversitycouldberelatedtothepollinationsystemofE. contor-tisiliquumanditslonglifecycle.AlthoughtheE.contortisiliquum matingsystemis still unknown,its congener E.cyclocarpum is predominantlyoutcrossed(RochaandAguilar,2001b).We postu-latethatE.contortisiliquumcouldbeanoutcrossingspecies,which couldexplainthehighlevelsofgeneticdiversityfound.Besides,E. contortisiliquumflowersareapparentlypollinatedbymoths,asE. cyclocarpum(Frankieetal.,2004;HamrickandApsit,2004).Some mothsarecapabletoflylongdistancesandcanvisitmanytreesin
aforagingroute(HaberandFrankie,1989).Inaddition,mothscan carrylargepollenloads(WillmottandBúrquez,1996)andcover greatdistancesbetweenconsecutivelyvisitedplants(Linhartand Mendenhall,1977).Furthermore,woodyplantssuchasE. contor-tisiliquum mayhavepersisted in remnant populationsin SDTFs patchesforalongtimeandourresultsprobablyreflectthe histori-calgeneticdiversityofadulttrees.Inarecentmeta-analysisitwas confirmedthatadultsexhibitedhighergeneticvariationthan off-springinafragmentedlandscapebecauseoflongtermpersistence inhabitats(Vranckxetal.,2011).
ThehighestgeneticdiversitiesareregisteredinUNA,PARand JOPpopulations(mean=0.323),intheWestofstudiedarea,andthe lowestinMAN,ITAandVERpopulations(mean=0.262),located intheupperSãoFranciscoRiver.Theseresultsmaybecorrelated withtheconservationhistoryoftheseareas.TheWestofthestudy areawasoccupiedonlyin18thcenturyinducedbyexploration ofgold.Beforethis,thenorthofthestudyareawasfragmented andaltered.TheregionofSãoFranciscoRiverbasinishighly dis-turbedandwasoccupiedinthe17thcentury.Duetothehighsoil fertilitythisregionhasbeenreceivinggovernmentalfinancial sup-portforagribusinessimprovementandirrigationprojects,suchas JaíbaIrrigationproject(seewww.projetojaiba.com.br).Lowgenetic diversitywasobservedpreviously inHandroanthusochraceusin thenorthofthestudiedregion(Moreiraetal.,2009;Moreiraand Fernandes,2013).Thus,lateexplorationoftheUNA,PARandJOP regionmayhavecontributedtothemaintenanceoflarge popula-tionsofE.contortisiliquumovergenerationswhichallowedgreater geneflowamongpopulations.Despitethecurrentfragmentation oflandscapecausedbyexpansionofagriculturalareas,these rem-nantpopulationsmaintainhighgeneticdiversity.Asaresult,UNA, PARandJOPpopulationsareimportantreservoirsofgenetic diver-sityofthespeciesE.contortisiliquumandmustbepreserved.Itis
Fig.4. BayesiananalysisofEnterolobiumcontortisiliquumindividualsfromBrazilianseasonallydrytropicalforestpatches.(A)KgraphicindicatingK=3asthemostprobable numberofgroups.(B)GraphicrepresentationofthedifferentgeneticpoolsforK=3.Populationsareseparatedbyverticalbars.
importanttoidentifypopulationswithhighgeneticdiversityto indicatetheoperatingunits(OU).Theseunitscanguideeffective conservationstrategiesforthespeciesinsituorexsitu(Diniz-Filho andTelles,2002;Maneletal.,2003).Besides,theother popula-tions(JEQ,VAR,BUE,BEL,GOU,FESandMOC,mean=0.270)have lowergeneticdiversitythanUNA,PARandJOP.Theseresultsmay becausedbyfragmentationofthelowerSãoFranciscoRiverand bylandscapefeaturessuchasriversandmountainrangesinthese areas,possiblylimitingthegeneflowamongpopulations(seethe Discussionsection).
ThefixationindexofE.contortisiliquum(˚ST=0.155)was
con-sistentwithoutcrossing,long-livedperennialspecieswhichhave seedsdispersedthroughingestionbyanimals(Nybom,2004).In addition,thepairwise B showedgeneticdivergenceamong E.
contortisiliquum populations which is not correlated with geo-graphicdistances. The E.contortisiliquumpods can beregarded asaNeotropicalanachronismwhoselargeandindehiscentfruits wereeatenbytheextinctmegafauna andseedsweredispersed bythemJanzen(1981a,b),JanzenandMartin(1982),Guimarães etal.(2008).Thus,theextinctmegafaunacouldhavepromoted extensivegeneflowthroughseeddispersalinthepastandbecause ofthisthereisnoisolationbydistanceamongE.contortisiliquum populations.Rodents,suchasagoutis,areprobablythepresent-day E.contortisiliquumseeddisperserandtherodentsmaymaintain thegeneticstructuregenerated bymegafauna.Itwasconfirmed thatseeddispersalbyrodentsisefficientandmaybe responsi-blefortheNeotropicalwoodyspeciespersistenceafterPleistocene megafaunaextinctions(Jansenetal.,2012).
The UPGMA dendrogram and PCAresults showthat E. con-tortisiliquumpopulations wereclusteringintothreegroups that werenotrelatedtogeographicdistance(Figs.2and3).However, thesepopulationsarespatiallystructuredintogroupsdistributed intheWest,CentralandEastofthestudyarea.TheWestgroup corresponds to populations UNA, PAR, JOP, ITA and MAN and this last populationexhibited geneticadmixture withthe Cen-tral group,indicative of gene flow (Fig.4B). We estimatedthe populationQ-matrix(resultsnotshown)whichcalculatesthe pro-portionsofmembershipofeach pre-definedpopulationin each of the K clusters, and MAN population representsan admixed populationwith35%ofancestryfromCentralgroup.The admix-tureofMANpopulationmustberesponsiblefortheproximityof thispopulationwiththeCentralgroupobservedinPCAanalysis (Fig.3).VERandJEQpopulationsbelongtotheCentralgroup,but displayedgeneticadmixturewiththeWestgroup.Accordingto populationQ-matrixVERandJEQhave31%and17%,respectively, ofancestryfromWestgroup.GOUpopulationhas16%of ances-tryfromWestgroupand27%fromtheEastgroup.Itisimportant toobservethatVER andJEQ populationsareclosetotheWest groupinPCA,probablybecauseofadmixturewiththisgroup,and themostadmixturepopulationGOUislocatedlinkedallgroups in PCA(Fig.3).Finally, theEast groupwasformed byFES and MOCpopulations.Thisgeneticstructuremayberelatedwith land-scape.Populations ofthe Westgroup,for example, arelocated ontheleftbankoftheSãoFranciscoRiver,whichmayactasa partialgeographicbarrierlimitinggeneflow.Anotherimportant geographicbarriermaybetheEspinhac¸oRange,whichmayhave influencedthepatternsobservedfortheEastgroup.These pos-siblebarriersare partiallyconsistentwiththetwo keybarriers detectedusingthesoftwareBarrierv.2.2(Fig.1).Genetic discon-tinuitiescorrespondingtotheEspinhac¸oRangeweredetectedfor twoChamaecristaspecies(Leguminosae)(Silvaetal.,2007), Bulbo-phyllumexaltatum(Orchidaceae)(Ribeiroetal.,2008)andVellozia gigantean(Velloziaceae)(Lousadaetal.,2011).Besides,rivers act-ingas geographic barrierstogene flow werealsoobserved for Copaiferalangsdorffii(Pintoetal.,2004)andSilenetatarica(Tero etal.,2003).
Thepresent-day deforestation caused byhumanactivitiesis reducingnaturalhabitatsofE.contortisiliquumandrepresentsan immediatethreattoitssurvival.However,itwasobservedthat the species has high genetic diversity which needsto be pre-served. Only two of 13 populations analyzed in this study are locatedinprotectedareas,respectively,MataSecaStatePark(MAN) andLapaGrandeStatePark(MOC).Thehighestrates ofgenetic diversityanalyzedwerefoundoutsideoftheseconservationunits. We propose the creation of protected areas in different geo-graphicregionswhichincludesE.contortisiliquumpopulationsfrom differentgeneticclusters.
PopulationsUNA,PARandJOPareprioritiesbecausetheyare not inprotected areasand have thehighestgeneticdiversities. Besides,VARis importantsincejointlywiththeprotectedareas (MANandMOC)and populationscitedabove,thethree genetic clusterswillbepreserved,whichcouldmaximizetheretentionof geneticdiversityforthespecies.TheGOUpopulationisalso pri-oritybecauseitislocatedintheextremesouthofthestudyarea andisformedbyallgeneticpools(seeFig.4B)which may rep-resentaconnectionbetweenthosegroups,anditsconservationis necessarytoavoidsomeisolationbetweenthem.Thismanagement willpreservedifferencesingeneticdiversitywhichwillprovidethe evolutionarypotentialforadaptation,andlong-termsurvivalinthe faceofenvironmentalchange.Theincreaseinprotectedareaswill ensurethesurvivalofE.contortisiliquumspeciesandatthesame timecontributetothepreservationofthethreatenedBrazilianSDTF remnants.
Acknowledgments
WethankUniversidadeEstadualdeMontesClarosforlogistical supportduringourlaboratoryworkandF.S.Nevesforfieldhelp.We gratefullyacknowledgeapostgraduatescholarshiptoP.A.Moreira fromCoordenac¸ãodeAperfeic¸oamentodePessoaldeNível Supe-rior(CAPES),theFundac¸ãodeAmparoàPesquisadeMinasGerais (FAPEMIG/APQ-00372-11)andConselhoNacionalde Desenvolvi-mentoCientíficoeTecnológico(CNPQ/475528/2013-1)forsupport. Wewouldliketothankthetwoanonymousreviewersfortheir suggestionsandcomments.
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