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dc.contributor.authorEverman, Elizabeth R.
dc.contributor.authorMacdonald, Stuart J.
dc.contributor.authorKelly, John K.
dc.date.accessioned2023-05-30T19:13:28Z
dc.date.available2023-05-30T19:13:28Z
dc.date.issued2023-04-04
dc.identifier.citationEverman ER, Macdonald SJ and Kelly JK (2023), The genetic basis of adaptation to copper pollution in Drosophila melanogaster. Front. Genet. 14:1144221. doi: 10.3389/fgene.2023.1144221en_US
dc.identifier.urihttps://hdl.handle.net/1808/34234
dc.description.abstractIntroduction: Heavy metal pollutants can have long lasting negative impacts on ecosystem health and can shape the evolution of species. The persistent and ubiquitous nature of heavy metal pollution provides an opportunity to characterize the genetic mechanisms that contribute to metal resistance in natural populations.

Methods: We examined variation in resistance to copper, a common heavy metal contaminant, using wild collections of the model organism Drosophila melanogaster. Flies were collected from multiple sites that varied in copper contamination risk. We characterized phenotypic variation in copper resistance within and among populations using bulked segregant analysis to identify regions of the genome that contribute to copper resistance.

Results and Discussion: Copper resistance varied among wild populations with a clear correspondence between resistance level and historical exposure to copper. We identified 288 SNPs distributed across the genome associated with copper resistance. Many SNPs had population-specific effects, but some had consistent effects on copper resistance in all populations. Significant SNPs map to several novel candidate genes involved in refolding disrupted proteins, energy production, and mitochondrial function. We also identified one SNP with consistent effects on copper resistance in all populations near CG11825, a gene involved in copper homeostasis and copper resistance. We compared the genetic signatures of copper resistance in the wild-derived populations to genetic control of copper resistance in the Drosophila Synthetic Population Resource (DSPR) and the Drosophila Genetic Reference Panel (DGRP), two copper-naïve laboratory populations. In addition to CG11825, which was identified as a candidate gene in the wild-derived populations and previously in the DSPR, there was modest overlap of copper-associated SNPs between the wild-derived populations and laboratory populations. Thirty-one SNPs associated with copper resistance in wild-derived populations fell within regions of the genome that were associated with copper resistance in the DSPR in a prior study. Collectively, our results demonstrate that the genetic control of copper resistance is highly polygenic, and that several loci can be clearly linked to genes involved in heavy metal toxicity response. The mixture of parallel and population-specific SNPs points to a complex interplay between genetic background and the selection regime that modifies the effects of genetic variation on copper resistance.
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dc.publisherFrontiers Mediaen_US
dc.rights© 2023 Everman, Macdonald and Kelly. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectHeavy metalsen_US
dc.subjectToxicityen_US
dc.subjectStress resistanceen_US
dc.subjectGenome wide associationen_US
dc.subjectDrosophilaen_US
dc.titleThe genetic basis of adaptation to copper pollution in Drosophila melanogasteren_US
dc.typeArticleen_US
kusw.kuauthorEverman, Elizabeth R.
kusw.kuauthorMacdonald, Stuart J.
kusw.kuauthorKelly, John K.
kusw.kudepartmentMolecular Biosciencesen_US
kusw.kudepartmentCenter for Computational Biologyen_US
kusw.kudepartmentEcology and Evolutionary Biologyen_US
dc.identifier.doi10.3389/fgene.2023.1144221en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC10110907en_US
dc.rights.accessrightsopenAccessen_US


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© 2023 Everman, Macdonald and Kelly. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Except where otherwise noted, this item's license is described as: © 2023 Everman, Macdonald and Kelly. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).