Analysis of heteroplasmy in bank voles inhabiting the Chernobyl exclusion zone : A commentary on Baker et al. (2017) "Elevated mitochondrial genome variation after 50 generations of radiation exposure in a wild rodent."
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This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details. Author(s): Title: Year: Version: Copyright: Rights: Rights url: Please cite the original version: CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ Analysis of heteroplasmy in bank voles inhabiting the Chernobyl exclusion zone : A commentary on Baker et al. (2017) "Elevated mitochondrial genome variation after 50 generations of radiation exposure in a wild rodent." © 2017 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd Published version Kesäniemi, Jenni; Boratyński, Zbyszek; Danforth, John; Itam, Prince; Jernfors, Toni; Lavrinienko, Anton; Mappes, Tapio; Møller, Anders Pape; Mousseau, Timothy A.; Watts, Phillip C. Kesäniemi, J., Boratyński, Z., Danforth, J., Itam, P., Jernfors, T., Lavrinienko, A., Mappes, T., Møller, A. P., Mousseau, T. A., & Watts, P. C. (2018). Analysis of heteroplasmy in bank voles inhabiting the Chernobyl exclusion zone : A commentary on Baker et al. (2017) "Elevated mitochondrial genome variation after 50 generations of radiation exposure in a wild rodent.". Evolutionary Applications, 11(5), 820-826. https://doi.org/10.1111/eva.12578 2018
Evolutionary Applications. 2017;1–7. | 1 wileyonlinelibrary.com/journal/eva Received:9October2017 | Accepted:3November2017 DOI: 10.1111/eva.12578 COMMENTARY Analysis of heteroplasmy in bank voles inhabiting the Chernobyl exclusion zone: A commentary on Baker et al. (2017) “Elevated mitochondrial genome variation after 50 generations of radiation exposure in a wild rodent.” Jenni Kesäniemi1 | Zbyszek Boratyński2 | John Danforth1 | Prince Itam1 | Toni Jernfors1 | Anton Lavrinienko1 | Tapio Mappes3 | Anders Pape Møller4 | Timothy A. Mousseau5 | Phillip C. Watts1 1DepartmentofEcologyandGenetics,UniversityofOulu,Oulu,Finland 2CIBIO/InBIO,ResearchCenterinBiodiversityandGeneticResources,UniversityofPorto,Vairão,Portugal 3DepartmentofBiologicalandEnvironmentalScience,UniversityofJyväskylä,Jyväskylä,Finland 4EcologieSystmatiqueEvolution,UniversitParis-Sud,CNRS,AgroParisTech,UniversitParis-Saclay,OrsayCedex,France 5DepartmentofBiologicalSciences,UniversityofSouthCarolina,Columbia,SC,USA Correspondence JenniKesäniemi,DepartmentofEcologyandGenetics,UniversityofOulu,Oulu,Finland. Email:jenni.k[email protected] Funding information AcademyofFinland,Grant/AwardNumber:PCW:287153andTM:268670 KEYWORDS:ecologicalgenetics,molecularevolution,populationecology 1 | INTRODUCTION Exposuretoionizingradiationisawell-establishedcauseofmutation. Giventheglobalproblemofaccidentalreleaseofradionuclidesinto theenvironment(Loureno,Mendo,& Pereira,2016), it is essential tofullyunderstandthegeneticconsequencesofexposuretoradionuclides.On26April1986,afireandexplosioninReactor4ofthe former nuclear power plant at Chernobyl (CNPP), Ukraine, released morethan9millionterabecquerels(TBq)ofradionuclidesovermuch (>200,000km2)ofEuropeandeasternRussia(seereviewsontheeffects,e.g.,Mousseau&Møller,2012;Møller&Mousseau,2006).The ChernobylExclusionZone(CEZ)wasestablishedatabouta30-kmradiusaroundtheaccidentsitetolimithumanexposuretoradioactive fallout.TheCEZcontainselevatedlevelsofpersistentradioisotopes, notably strontium-90 (90S), caesium-137 (137Cs) and plutonium-239 (239Pu) that have half-lives of 28.8, 30.2 and 24,100years, respectively. Wildlife inhabiting the CEZ provide clear models of the biological consequences of exposure to environmental radionuclides, with many reports of elevated levels of developmental instability, genetic damage and mutation rate associatedwith inhabiting areas contaminated by radionuclides. Hence, a meta-analysis revealed a strongeffectofradiationuponmutationrateinorganismsaffectedby Chernobylfallout(datafor30speciesin45publishedstudies)(Møller &Mousseau,2015).Withthisinmind,thereportbyBakeretal.(2017) in Evolutionary Applicationsofelevatedlevelsofgeneticdiversityrates inbankvolesinhabitingtheCEZappearsconsistentwiththeputative mutageniceffectofexposuretoradionuclides. TheanalysisbyBakeretal.(2017)ispromisingfortwoprincipal reasons:(i)theyhavedatafromtwotimepointsand(ii)theyusenext- generation sequencing (NGS) to identify polymorphisms and thus bringstudiesofChernobylwildlifeintothegenomicsera.Bakeretal. (2017) sequencedwhole mitochondrial genomes of samples of the bankvoleMyodes glareolustodeterminewhetherthebankvolesinhabitingtheCEZhaveaccumulatedmutationsasaconsequenceof exposuretoelevatedlevelsofradionuclides.Thebankvoleisasmall rodentthatiscommoninforesthabitatsinnorthernEurope.Asthis speciesiscommonwithinandaroundtheCEZ,thebankvolehasbeen widelystudiedasamodelofthemammalianresponsetoradionuclides ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttributionLicense,whichpermitsuse,distributionandreproductioninanymedium, providedtheoriginalworkisproperlycited. ©2017TheAuthors.Evolutionary ApplicationspublishedbyJohnWiley&SonsLtd
2 | KESÄNIEMI et al. (Boratyński,Lehmann,Mappes,Mousseau,&Møller,2014;Chesser etal., 2000; Lehmann, Boratyński, Mappes, Mousseau, & Møller, 2016;Meeks,Chesser,Rodgers,Gaschak,&Baker,2009;Meeksetal., 2007;Rodgers&Baker,2000;Rodgers,Wickliffe,Phillips,Chesser,& Baker,2001).Bakeretal.(2017)foundgreatermitochondrialdiversityinsamplesfromtwocontaminatedareas(RedForestandGlyboke Lake)thaninsamplesofbankvolesfromthreeuncontaminated(control)areas(Nedanchychy,NezamozhnyaandOranoe)(seeFigure1for samplelocations).Intheabstract,theauthorsstate[thattheirdata are] “consistent with the possibility that chronic, continuous irradiation resulting from the Chernobyl disaster has produced an accelerated mutation rate in this species over the last 25 years.”However,Bakeretal., 2017didnotfullydiscussthreeimportantissuesrelatingtotheirdata: (i)sampling,(ii)bankvolepopulationdynamicsand(iii)heteroplasmy. 2 | SAMPLING: CORRECTION FOR VARIATION IN SAMPLE SIZES SamplesizesusedbyBakeretal.(2017)varybetween11and20(and onesampleofthreebankvolesatGlybokeLake),withthetwolargest samplesfromtheRedForest(i.e.,contaminatedsite).Bakeretal.(2017) discusspossibleeffectsofunbalancedsamplesizeontheirconclusions andlargelyattemptedtocorrectforunevensamplesizesbydividingestimatesofgeneticdiversitybythesamplesize(Table3inBakeretal. (2017)). This method of correction is not appropriate (e.g., as genetic diversityandsamplesizehaveanonlinearrelationship,seeFigure2),and rarefactionismoretypicallyusedtocompareestimatesofgeneticdiversityamongsamplesthatdifferinsize(Petit,Mousadik,&Pons,1998; Szpiech,Jakobsson,&Rosenberg,2008).Asanillustration,weobtained dataforBakeretal.’s(2017)samplesofbankvolesforthemitochondrial locusND4(1,378bpthathad60variablesites)fromDRYAD(https:// doi.org/10.5061/dryad.j11s7)andcalculatedthenumberofhaplotypes persample,correctedforsamplesizeusingrarefactionimplementedby ADZE(Szpiechetal.,2008).Wealsofoundthatmitochondrialdiversity (asmeasuredbythenumberofhaplotypes)ishigherincontaminated thaninuncontaminatedsites(Figure2),reinforcingBakeretal.’s(2017) conclusions; moreover, high diversity is apparent in the small (n = 3) GlybokeLake2011samplealthoughthesedatawerenotincludedinthe statisticalcomparisonofpopulationgeneticdiversity.Hence,thelevel ofmitochondrialdiversityisassociatedwiththelevelofenvironmental radioactivity.But,dothesedataindicateahighmutationrate? 3 | SAMPLING: UNCLEAR CHOICE OF CONTROL SITES Severalstudieshavequantifiedmitochondrialdiversity(ata291-bp fragmentofthecontrolregionandsomeadjacenttRNA)inbankvoles inhabitingtheCEZandinuncontaminatedsitesinUkraine(Matson, Rodgers,Chesser,&Baker,2000;Meeksetal.,2007,2009;Wickliffe etal.,2006):noneofthesestudiesconcludedthattherewasarobust association between mutation rate and the level of environmental FIGURE1 LocationofsiteswithinandoutsidetheChernobyl ExclusionZone(CEZ)fromwhichbankvoleswerecollected,as describedbyMeeksetal.(2007)(filledcircles)andbyBakeretal. (2017)(opencircles).CNPPreferstothelocationoftheformer ChernobylNuclearPowerPlant(filledsquare)andcirclesindicate10- kmand30-kmradiusfromtheCNPP.Contaminatedsamplesitesare CL—GlybokeLakeandRF—RedForest.Uncontaminated(references) samplesitesareNZ—Nezamozhnya,ND—Nedanchychy,OR— Oranoe,PA—Paryshev,ST—StupnikovoandKR—Krasnoye.ND2017 referstotheNedanchychylocationreportedbyBakeretal.(2017), whileND2007referstothelocationofthesiteusedbyMeeksetal. (2007):notethatthecoordinatesfortheRedForestcontaminated siteinBakeretal.(2017)are~12kmfromtheoriginalRedForest site.MapwascreatedinRv.3.3.3(RDevelopmentCoreTeam,2014) usingGGMAPv.2.6.1(Kahle&Wickham,2016) FIGURE2 Rarefactioncurvesofmitochondrialgeneticdiversity (numberofhaplotypesattheND4locus)againstsamplesizefor tensamplesofbankvolesfromsitesthatwerecontaminated(filled circles,solidlines)oruncontaminated(opencircles,dashedlines)by environmentalradioactivity.SamplecodesareCL—GlybokeLake,RF— RedForest,NZ—Nezamozhnya,ND—NedanchychyandOR—Oranoe 0 2 4 6 8 10 12 0510 15 20 Sample size sepytolpahforebmuN RF 1998 RF 2011 GL 1998 GL 2011 OR 1998 NZ 1998 & 2011 OR 2011 ND 2011 ND 1998
| 3 Kesäniemi et al radionuclides. Rather, studies have highlighted the need for additionalsampling(Matsonetal.,2000;Wickliffeetal.,2006)orfound mitochondrialdiversitytobecomparablebetweencontaminatedand uncontaminated sites that were located close to the CNPP (Meeks etal.,2007);moreover,geneticdiversitywasheterogeneousamong samples of bank voles collected over a large area of Ukraine, with uncontaminated locations containing more unique haplotypes and ahigherratioofuniquetototalhaplotypes(Table1inMeeksetal., 2009). Variation in mitochondrial diversity in bank voles has been explainedbydemographicandecologicalprocesses,ratherthanexposure to environmental radionuclides (e.g., Meeks etal., 2009). These studies on bank vole mitochondrial genetic diversity were notaddressedindetailbyBakeretal.(2017)despitetheconclusion byMeeksetal.(2009)that“genetic diversity in radioactive regions of Ukraine is probably a function of natural geographic variation rather than increased mutational pressure from radiation exposure and underscore the importance of adequate geographic sampling.” Thepriorinformationaboutlevelsofmitochondrialdiversityfor bankvolepopulationswithinandaroundtheCEZisimportantwhen choosingsamplinglocations.Ofthethreecontrolsamplesselectedby Bakeretal.(2017),NedanchychyhadnotablylessmitochondrialdiversitythanotherbankvolesamplesfromUkraine(Meeksetal.,2007, 2009;Wickliffeetal.,2006):haplotypediversity(h)atNedanchychy (h = 0.19) is less than half that of the samplewith the next lowest diversity (Ezyaslav, h = 0.44) (Table 1 and Figure 2 in Meeks etal. (2009)). Reasons for low genetic diversity at Nedanchychy are not known,buthighlightmarkedsite-specificvariationingeneticdiversityinwildbankvolepopulations.Althoughmitochondrialdiversity atNedanchychyappearsatypicalofbankvolepopulationsinUkraine, theimpactofthissampleontheconclusionaboutlevelsofmitochondrialdiversityappearslimitedastheotherreferencesamplesareless diversethanthecontaminatedsamples(Figure2).Also,Meeksetal. (2007) sampled bank voles from six potential control (uncontaminated)locationsthatliewithinabout40kmoftheCNPP(Figure1).A comparisonofanythesesites,ratherthansamplesfromdistantareas, withcontaminatedsampleswouldreducetheeffectofhistoricdemographicprocessedonpatternsofgeneticdiversity.However,Baker etal.(2017) provide noreasonfortheir analysisof thethree more distant(>30kmfromCNPP)controlsratherthanobtainingdatafrom oneormoreoftheuncontaminated sites (Stupnikovo, Krasnoye or Paryshev)thatarecloser(1–15km)tothecontaminatedareas(see Figure1).LocationswithinorclosetotheCEZarethelikelysources of the bank voles that recolonized the contaminated areas within the CEZ after the nuclear accident. As such, the sites Stupnikovo, KrasnoyeorParyshevmightbethemostappropriatecontrolsforan assessmentoftheimpactofenvironmentalradionuclidesongenetic diversity.Alternatively,useoftheseproximatesitesmightconfound analysesofdiversityduetoongoingdispersalofbankvolesamong contaminatedanduncontaminatedareas.Bankvolesarefairlymobile andcanmove1kmwithinabreedingseason(Kozakiewicz,Chołuj,& Kozakiewicz,2007).Choiceofappropriatecontrolsitesisanimportantissuethat,here,iscomplicatedbyacombinationofpriorinformationaboutvariationinmitochondrialdiversityinpotentialsamples andalackofknowledgeaboutthepopulationdynamicsofwildbank voles. 4 | BANK VOLE POPULATION DYNAMICS Thepossibleinfluenceofpopulationhistoryonspatialpatternsofmitochondrialdiversityshouldbereconsidered.Bakeretal.(2017)imply thattheirdataareinconsistentwiththehypothesisofrecolonization explainingtheobservedhighmitochondrialdiversityincontaminated sites because the surrounding areas (potential sources) have lower mitochondrial diversity. However, an area recolonized by several, genetically different, sources could exhibit an increase in genetic diversity(asdiscussedby(Matsonetal.,2000)).Theuncontaminated areastotheeastofChernobyl(NedanchychyandNezamozhynya)are geneticallydifferentfromadistantcontrolsite(Korostychev)thatis southofChernobyl(Meeks etal., 2009). Also, bank voles from uncontaminatedsitesNedanchychy,KrasnoveandParyshev(Figure1), aswellasthecontaminatedsiteswithinCEZ,haveunique(notfound atanyothersite)mitochondrialhaplotypes(Meeksetal.,2007,2009; Wickliffe etal., 2006). Indeed, there were no shared mitochondrial haplotypes among the CEZ and control regions (Figure1 in Baker etal.(2017)).Thispatternofgeneticdiversityindicatesthatgeneflow amongCEZandcontrolsitesislimited,butitdoesnotruleoutrecolonizationoftheCEZfromseveralsurroundingsourcesitesasother controlsareaswerenotanalysedbyBakeretal.(2017)(Figure1).As bankvolepopulationswithinandaroundtheCEZaregeneticallydifferent,recolonizationprocessesremainapossiblereasonforthehigh mitochondrialdiversityofbankvolesinhabitingtheCEZ.Thishighlightsthedifficultiesinassociatingasignatureofgeneticvariationto theeffectsofionizingradiationratherthanotherdemographicpopulationprocesses,anissuealsopointedoutbyBakeretal.(2017). AstrengthoftheanalysisbyBakeretal.(2017)istheirdatafrom 1998and2011.The13-yeardifferencebetweensamplingperiodsis comparabletothetimeintervalbetweentheaccident(1986)andthe firsttimepoint(1998)andrepresentsabout26generations(ofexposuretoradionuclides).Onecorollaryofthemutageniceffectsofexposuretoenvironmentalradionuclidesisthatmutationsaccumulate withtime.Bycontrast,notemporalchangeinmitochondrialdiversity attheRedForest(contaminated)samplewasapparent(Tables3and4 inBakeretal.(2017),alsoseeFigure2),althoughthereweregreater nucleotide differences between temporal samples at the contaminatedsites,butsmallsamplesizepreventedanystatisticalinference (TableS4inBakeretal.(2017)).Alackoftemporaleffectweakensthe argumentthatexposuretolow-doseradionuclidessimplyincreases mutation. One implication is that most of the mitochondrial diversity(viamutation)mayhaveaccumulatedatsomepointtoaffectthe 1998sample,butnotsubsequently.Forexample,mostofthefallout fromtheChernobylaccidentwasiodine-131.Exposureto131I conceivablymighthavehadsomeinitial,butnotcontemporary,impact onwildlifeasthisisotopedissipatedrapidly(half-lifeof8days).Initial exposuretoradiationcantriggerasuiteofcellulareffectsthatpersistforsometime(Mothersill&Seymour,2006).Exposureto131Iis
4 | KESÄNIEMI et al. associatedwithelevatedincidenceofhumanthyroidcancers(Cardis etal., 2006), but its long-term effects on wildlife are not known. Otherprincipalradionuclides(90S,137Csand239Pu—seeIntroduction) withintheCEZaremorepersistent,andtheireffectsarelesslikely tohavedissipatedrecently.Wemightspeculatethatbankvolesexhibitsomeadaptiveresponsetoradionuclidecontamination,forexample,viaimprovedantioxidativemeasuresand/orDNArepairthat preventsfurtheraccumulationofmutations.Fibroblastsofbankvoles fromtheCEZexhibitgreaterantioxidativecapacitythandobankvole fibroblastsfromcontrolareasnearKiev(V.Mustonen,J.Kesäniemi, A.Lavrinienko,E.Tukalenko,T.Mappes,P.C.Watts,&J.Jurvansuu, unpublishedresults).Wecouldalsoarguethatanytemporalgenetic patterninthesebankvoledataisconfoundedbystochasticrecolonizationoftheCEZfromdifferentsourcepopulations.Withthisin mind,Wickliffeetal.(2006)foundmarkedfluctuationsinmitochondrialdiversity(haplotypediversityhvariedfrom0.67to0.82)among samplesofbankvolesfromthecontaminatedRedForestsiteover a three-year period (1998–2001). The discussion above does not excludearoleformutation,buthighlightsthatotherprocessescan explainthecontemporarypatternofgeneticdiversityinbankvoles withinandaroundtheCEZ. 5 | HETEROPLASMY AS A MARKER OF MUTATION? Inferringmutationratefrompopulationgeneticdiversityitselfiscomplicatedbyprocessesthatdeterminewhether(ornot)amutationis incorporatedintothepopulationatadetectablefrequency:theprobabilitythatamutationisretained withina population,for example, depends on strength of selection, population size, recombination (e.g.,fornuclearDNA)andsamplesize.Acomplementaryanalysisof mutationcouldfocusonmutationsoccurringwithinindividualsindependent of demography. One solution is to quantify heteroplasmy, theoccurrenceofmorethanonemitochondrialhaplotypewithinan individual(Li,Schröder,Ni,Madea,&Stoneking,2015;Lietal.,2010). HeteroplasmymaybecausedbypaternaltransmissionofmitochondrialDNAorreflectmutationsproducedbyDNAreplicationerrors, inefficientDNArepairoroxidativedamage(Kmiec,Woloszynska,& Janska,2006):anincreaseinheteroplasmythereforecouldbeapotentialsignal ofexposureto mutagens.Heteroplasmyhas been exploredasabiomarkerofexposuretoenvironmentalradioactivityin bankvolesfromtheCEZ,whereexposuretoradionuclideseliciteda nonsignificantincreaseinheteroplasmy(Wickliffe,Chesser,Rodgers, & Baker, 2002). Next-generation sequencing (NGS) is well suited fordetectingheteroplasmyasthehighdepth of coverage that can bereadilyachievedwhen(re)sequencingasmallgenome(e.g.,mitochondrialDNA)allowsforrobustdetectionofintra-individualpolymorphisms(Lietal.,2010;Tang&Huang,2010;Wachsmuth,Hübner, Li,Madea,&Stoneking,2016);forexample,ata1,000×coverage,a heteroplasmyoccurringat1%frequencyisexpectedtobevisiblein about10reads,asignalthatshouldbedistinctfromthenumbersof mismatchesderivedfroma~0.1%errorrateassociatedwithIllumina HiSeq2000chemistry (Glenn,2011). Bakeretal.’s(2017) NGSdata presentapowerfulopportunitytoexaminethepotentialassociation betweenexposuretoenvironmentalradionuclidesandheteroplasmy as(i)heteroplasmyiscommoninmuscle(Lietal.,2015),thesource ofbankvolegeneticmaterial,and(ii)theauthorsachievedhighdepth ofcoverage(averagecoverage=3,974,range=64–7,841;tableS1in Bakeretal.(2017))overmostmitochondrialgenomes. WeobtainedBakeretal.’s(2017)NGSdatafromNCBI’ssequence read archive (https://www.ncbi.nlm.nih.gov/sra/, project accession SRX2515630).Only122ofthe131bankvolesamplesdescribedby Bakeretal.(2017)werearchived.Sampleinformationwasnotprovided withtherawreaddata,soweassignedaputativeoriginbymatching thecountofrawreadsineachfiletothereaddatainformationprovidedintableS1byBakeretal.(2017).Potentialadaptorsandpoor qualityreadswereremovedfromtherawdatausingTRIMMOMATIC v.0.35(Bolger,Lohse,&Usadel,2014)(minimumlength=90,quality score=20,slidingwindowsize=5).Paired readswere mappedtoa bank vole mitochondrial genome (GenBank accession NC_024538) using BOWTIE2v.2.2.9 (Langmead & Salzberg, 2012) (mapping options: -D 5 -R 1 -N 0 -L 22 -i S,0,2.50), as the mitochondrial referenceformappingbyBakeretal.(2017)wasnotpublicatthetimeof analysis.MappingdataweresortedandconvertedtoaMPILEUPfile using SAMtools v.1.4 (http://samtools.github.io/hts-specs/SAMv1. pdf).PotentialheteroplasmicsiteswerecalledusingVARSCANv.2.3.9 (Koboldtetal.,2012)onthebasisofaminimumreadfrequencyof1%, butonlywhenaminimumreaddepthof500wasachievedandwhenat least10%ofthereadsmappedtothealternatestrand(toreducenumbersoffalse-positivesitesarisingfromPCRartefacts(Scarcellietal., 2016)).Variablesiteswerecalledbetweenpositions220and15,793of thereferencegenomeduetolowcoverageatthebeginningandendof thereference.Thisanalysisallowedustoquantifyheteroplasmyonthe basisof(i)whetheranindividualcontainedatleastoneheteroplasmy or not and (ii) the total number of heteroplasmic sites foundwithin anindividual’smitochondrialgenome.Assevensampleshadlowsequencingcoverageacrosstheentire mitochondrial genome,we had afinal sample of 115individuals (n = 46 and 69 fromcontaminated anduncontaminatedsites,respectively)foranalysisofheteroplasmyin bankvoles(Table1). Asitisinmanyotheranimals(Kmiecetal.,2006),heteroplasmy appearstobecommoninbankvolesasweidentified72(63%)individualswithatleastoneheteroplasmicsite,representedby28(61%) and44(64%)individualsfromthecontaminatedanduncontaminated sites,respectively(Table1).Mostindividualswithheteroplasmycontainedonly1or2heteroplasmicsites(1site=60%;2sites=22%; ≥3sites=18%ofdata).Theaveragenumberofheteroplasmicsites perindividualwas0.91inthecontaminatedsamplesand1.02inthe uncontaminatedsamples(or1.64withthewholedatasetofuncontaminatedsamples,seebelowfordiscussionaboutoutlierindividuals).Additionally,theaveragefrequencyofheteroplasmywithinthe variablesiteswassimilarincontaminatedanduncontaminatedareas (Table1).Heteroplasmiesweredetectedinbankvolemitochondria at131positions(at90positionswithoutthetwooutlierindividuals). Twobankvolescontainedapparentlymanyheteroplasmicsites,both
| 5 Kesäniemi et al ofwhichweretakenfromcontrolareasin1998:oneindividualfrom Nezamozhnyawith26sitesandoneindividualfromOranoewith19 sites.Readmappingforthesetwoindividualswasvisuallyinspected inTABLETv.1.14.11.07 (Milne etal., 2009). The potential heteroplasmicsiteswerescatteredaroundthemitochondrialgenomeand representedbypairsofreadsthathaddifferentinsertsizes,implying thattheheteroplasmydetectionwasnotsimplyanartefactofPCR bias. Nonetheless, statistical analyses ofvariation in heteroplasmy with radionuclide contamination were made with andwithout the two“outlier”samples(notethatbotharefromuncontaminatedsites in1998).Weestimatedwhetherlevelsofheteroplasmydifferedbetweencontaminatedanduncontaminatedsitesusingthegeneralized linear mixed model (GLMM) implemented by the GLMER function inLME4(Bates,Mächler,Bolker,&Walker,2015)runinRv.3.1.1(R DevelopmentCoreTeam,2014).Modelsexaminingwhetheranindividualcontainedaheteroplasmy(Hp)ornot(ProportionofHpindividuals)weretreatedwithabinomialerrordistribution,whilemodels usingthenumberofheteroplasmiespresentwithineachindividual (Hpsites/individual)usedaPoissondistribution.Contamination(yes, no)andyear(1998,2011)wererepresentedasfixedfactors,andthe fivesamplesites(Figure1)wereincludedasarandomfactor(Seefull resultsinTableS1).Withalldata(n = 115),theproportionofindividualswithaheteroplasmywaslowerinthecontaminatedsitesand alsoin2011,althoughneithereffectwassignificant(p = .63and.31, respectively;Table2).Thenumbersofheteroplasmiesinindividuals weresignificantlylowerincontaminatedsitesandin2011(p < .001 for both predictors; Table2).The qualitative pattern of lower heteroplasmyinthecontaminatedareasandapossibletemporalreductionin heteroplasmy(between1998 and 2011)remainswhen the twooutlierindividualsareremoved,butwithnosignificantpredictor for either measure (presence/absence or count) of heteroplasmy (Table2).Hence,analysisofBakeretal.’s(2017)NGSdatayieldno evidence that exposure to environmental radiation is associated withthelevelofheteroplasmy.Qualitatively,bankvolesinhabiting theCEZhavelowerlevelsofheteroplasmyandexhibitadecreasein thelevelofheteroplasmybetween1998and2011intheRedForest (Tables1 and 2). Neither of these spatial nor temporal patterns is anexpectedconsequenceofasimple,positiveassociationbetween chronic exposure to environmental radionuclides and the rate of mutation. TABLE1 Heteroplasmy(Hp)estimatesineachofthesamplesseparately Locality Year NBNHp Proportion of Hp individuals Hp sites/individual Average frequency of heteroplasmies Uncontaminated Nedanchychy 1998 11 11 0.727 1.182 0.134 Nedanchychy 2011 12 12 0.750 1.250 0.076 Nezamozhnya 1998 12 11(12) 0.636(0.667) 1.000(3.083) 0.031 Nezamozhnya 2011 12 10 0.500 0.900 0.110 Oranoe 1998 15 12(13) 0.583(0.615) 0.833(2.231) 0.083 Oranoe 2011 14 11 0.545 0.909 0.134 In total 76 67(69) 0.627(0.638) 1.015(1.638) 0.078 Contaminated GlybokeLake 1998 15 14 0.571 0.929 0.032 GlybokeLake 2011 3 3 0.667 1.000 0.070 RedForest 1998 20 18 0.722 1.167 0.055 RedForest 2011 17 11 0.455 0.455 0.062 In total 55 46 0.609 0.913 0.050 Fortheaveragefrequencyofallheteroplasmies,frequencyoftheheteroplasmicallelewascalculatedseparatelyforeachheteroplasmysitewithinindividuals.Forthetwosampleswith“outlier”individuals,NezamozhnyaandOranoe(both1998),valuesinparenthesesaretheestimatesincludingtheoutliers. NBrepresenttheoriginalsamplesizesinBakeretal.(2017),whileNHpistheamountofindividualsusedinthepresentheteroplasmyanalysis. TABLE2 Summarizedresultsofgeneralizedlinearmixedmodels (GLMM)testingtheeffectsofcontaminationandsamplingyearon thelevelsofheteroplasmy(Hp)ofbankvolesfromcontaminatedand uncontaminatedsites n = 115 n = 113 ProportionofHpindividuals Effect Estimate pEstimate p Intercept 0.765 .018 0.697 .033 Contaminatedsite −0.196 .625 −0.145 .719 Year2011 −0.406 .308 −0.353 .377 Hpsites/individual Effect Estimate pEstimate p Intercept 0.777 <.001 0.094 .534 Contaminatedsite −0.697 <.001 −0.137 .493 Year2011 −0.727 <.001 −0.167 .401 GLMMwasrunwithallavailableindividuals(n=115)andareduceddata setwiththetwooutlierindividualsfromuncontaminatedsitesremoved (n=113).
6 | KESÄNIEMI et al. 6 | DISCUSSION AND CONCLUSIONS Understanding the biological effects of exposure to low-dose radiationisanimportantissuegiventhatnumeroushumanactivities haveleftsubstantialamountsofradionuclidesintheenvironment (Lourenoetal.,2016):reportsofacceleratedmutationratehave clearpolicyimplications.Whileahighrateofmutationischaracteristic of diverse taxa affected by Chernobyl fallout (Geras’kin, Fesenko,&Alexakhin,2008),thespecificresponsestoradionuclide exposurevarybetweentaxa(Møller&Mousseau,2015)andmammals are comparatively understudied. Application of NGS techniquesrepresentsamuchneededscientificadvanceforstudiesof wildlifeinhabitingtheCEZ.However,sequencedataforwholemitochondrialgenomes(fromBakeretal.,2017)arealsoconsistentwith theresultsofpreviousstudiesofbankvolemitochondrialdiversity atthecontrolregionwiththeresultsbeingexplainedbyprocesses otherthanmutation(e.g.,Matsonetal.,2000;Meeksetal.,2007, 2009;Wickliffeetal.,2006).Analysisofheteroplasmyinbankvoles offers high power to detect low-frequency intra-individual mutationsandcancircumventtheuncertaintyassociatedwithinferring mutation from populations whose demographic histories are unknown.Alackofassociationbetweenheteroplasmyandcontaminationbyenvironmentalradionuclidesisimportantasoccurrence oflow-frequency,intra-individualmutationsispresumablyneeded togeneratethe“rawmaterial”formutationsthatarelatervisibleas “populationgeneticdiversity.”Arecentmeta-analysishasrevealed anassociationbetweenmutationrateandenvironmentalradiation exposure in many species from Chernobyl (Møller & Mousseau, 2015). 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