Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33861
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dc.contributor.authorGoodman, Jessicaen_UK
dc.contributor.authorBrand, Juneen_UK
dc.contributor.authorLaptev, Gennadyen_UK
dc.contributor.authorAuld, Stuart K J Ren_UK
dc.date.accessioned2022-01-21T01:04:35Z-
dc.date.available2022-01-21T01:04:35Z-
dc.date.issued2022-03en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33861-
dc.description.abstractPopulations experiencing varying levels of ionising radiation provide an excellent opportunity to study the fundamental drivers of evolution. Radiation can cause mutations, and thus supply genetic variation; it can also selectively remove individuals that are unable to cope with the physiological stresses associated with radiation exposure, or non-selectively cull swathes of the population, reducing genetic variation. Since the nuclear power plant explosion in 1986, the Chernobyl area has experienced a spatially heterogeneous exposure to varying levels of ionising radiation. We sampled Daphnia pulex (a freshwater crustacean) from lakes across the Chernobyl area, genotyped them at ten microsatellite loci, and also calculated the current radiation dose rates. We then investigated whether the pattern of genetic diversity was positively associated with radiation dose rates, consistent with radiation-mediated supply of de novo mutations, or negatively associated with radiation dose rates, as would be expected with strong radiation-mediated selection. We found that measures of genetic diversity, including expected heterozygosity and mean allelic richness (an unbiased indicator of diversity) were significantly higher in lakes that experienced the highest radiation dose rates. This suggests that mutation outweighs selection as the key evolutionary force in populations exposed to high radiation dose rates. We also found significant but weak population structure, indicative of low genetic drift, and clear evidence for isolation by distance between populations. This further suggests that gene flow between nearby populations is eroding population structure, and that mutational input in high radiation lakes could, ultimately, supply genetic variation to lower radiation sites.en_UK
dc.language.isoenen_UK
dc.publisherWileyen_UK
dc.relationGoodman J, Brand J, Laptev G & Auld SKJR (2022) Radiation-mediated supply of genetic variation outweighs the effects of selection and drift in Chernobyl Daphnia populations. Journal of Evolutionary Biology, 35 (3), pp. 413-422. https://doi.org/10.1111/jeb.13983en_UK
dc.rights© 2022 The Authors. Journal of Evolutionary Biology published by John Wiley & Sons Ltd on behalf of European Society for Evolutionary Biology. This is an open access article under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectevolutionen_UK
dc.subjectionising radiationen_UK
dc.subjectmicrosatellitesen_UK
dc.subjectpopulation structureen_UK
dc.titleRadiation-mediated supply of genetic variation outweighs the effects of selection and drift in Chernobyl Daphnia populationsen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1111/jeb.13983en_UK
dc.identifier.pmid35048452en_UK
dc.citation.jtitleJournal of Evolutionary Biologyen_UK
dc.citation.issn1420-9101en_UK
dc.citation.issn1010-061Xen_UK
dc.citation.volume35en_UK
dc.citation.issue3en_UK
dc.citation.spage413en_UK
dc.citation.epage422en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNERC Natural Environment Research Councilen_UK
dc.author.emails.k.auld@stir.ac.uken_UK
dc.citation.date19/01/2022en_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUkrainian Hydrometeorological Instituteen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.identifier.isiWOS:000749669900001en_UK
dc.identifier.scopusid2-s2.0-85123848863en_UK
dc.identifier.wtid1788539en_UK
dc.contributor.orcid0000-0001-6691-7442en_UK
dc.date.accepted2022-01-05en_UK
dcterms.dateAccepted2022-01-05en_UK
dc.date.filedepositdate2022-01-20en_UK
dc.relation.funderprojectPast epidemics as predictors of disease evolution over space and timeen_UK
dc.relation.funderrefNE/L011549/1en_UK
dc.subject.tagEvolutionary Biologyen_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGoodman, Jessica|en_UK
local.rioxx.authorBrand, June|en_UK
local.rioxx.authorLaptev, Gennady|en_UK
local.rioxx.authorAuld, Stuart K J R|0000-0001-6691-7442en_UK
local.rioxx.projectNE/L011549/1|Natural Environment Research Council|http://dx.doi.org/10.13039/501100000270en_UK
local.rioxx.freetoreaddate2022-01-20en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2022-01-20|en_UK
local.rioxx.filenameGoodman-etal-JEB-2022.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1420-9101en_UK
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