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Historical museum samples reveal signals of selection and drift in response to changing insecticide use in an agricultural pest moth

dc.contributor.authorParvizi, Elaheen
dc.contributor.authorBachler, Andyen
dc.contributor.authorZwick, Andreasen
dc.contributor.authorWalsh, Tom K.en
dc.contributor.authorMoritz, Craigen
dc.contributor.authorMcGaughran, Angelaen
dc.date.accessioned2025-06-11T20:37:02Z
dc.date.available2025-06-11T20:37:02Z
dc.date.issued2024en
dc.description.abstractIn response to environmental and human-imposed selective pressures, agroecosystem pests frequently undergo rapid evolution, with some species having a remarkable capacity to rapidly develop pesticide resistance. Temporal sampling of genomic data can comprehensively capture such adaptive changes over time, for example, by elucidating allele frequency shifts in pesticide resistance loci in response to different pesticides. Here, we leveraged museum specimens spanning over a century of collections to generate temporal contrasts between pre- and post-insecticide populations of an agricultural pest moth, Helicoverpa armigera. We used targeted exon sequencing of 254 samples collected across Australia from the pre-1950s (prior to insecticide introduction) to the 1990s, encompassing decades of changing insecticide use. Our sequencing approach focused on genes that are known to be involved in insecticide resistance, environmental sensation, and stress tolerance. We found an overall lack of spatial and temporal population structure change across Australia. In some decades (e.g., 1960s and 1970s), we found a moderate reduction of genetic diversity, implying stochasticity in evolutionary trajectories due to genetic drift. Temporal genome scans showed extensive evidence of selection following insecticide use, although the majority of selected variants were low impact. Finally, alternating trajectories of allele frequency change were suggestive of potential antagonistic pleiotropy. Our results provide new insights into recent evolutionary responses in an agricultural pest and show how temporal contrasts using museum specimens can improve mechanistic understanding of rapid evolution.en
dc.description.sponsorshipThis work was funded by the Australian Research Council (Discovery Early Career Researcher Award DE160100685 to A.M.) and Commonwealth Scientific and Industrial Research Organisation (Sequencing lane to A.M.). We wish to thank several museums and/or government departments across Australia for providing samples (including the Australian National Insect Collection, Canberra; the Department of Agriculture and Food, Western Australia; the Department of Agriculture and Fisheries, Queensland; the Agricultural Scientific Collections Trust, New South Wale; and Museum Victoria, Victoria). This work was funded by the Australian Research Council (Discovery Early Career Researcher Award DE160100685 to A.M.) and Commonwealth Scientific and Industrial Research Organisation (Sequencing lane to A.M.). Acknowledgmentsen
dc.description.statusPeer-revieweden
dc.format.extent11en
dc.identifier.issn1010-061Xen
dc.identifier.otherPubMed:38824398en
dc.identifier.otherORCID:/0000-0001-5313-7279/work/170522717en
dc.identifier.scopus85200338510en
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=85200338510&partnerID=8YFLogxKen
dc.identifier.urihttps://hdl.handle.net/1885/733759002
dc.language.isoenen
dc.rightsPublisher Copyright: © The Author(s) 2024.en
dc.sourceJournal of Evolutionary Biologyen
dc.subjectcotton bollwormen
dc.subjectgenetic driften
dc.subjectinsecticide resistanceen
dc.subjectmuseum genomicsen
dc.subjectselectionen
dc.titleHistorical museum samples reveal signals of selection and drift in response to changing insecticide use in an agricultural pest mothen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage977en
local.bibliographicCitation.startpage967en
local.contributor.affiliationParvizi, Elahe; University of Waikatoen
local.contributor.affiliationBachler, Andy; Division of Ecology and Evolution, Research School of Biology, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationZwick, Andreas; CSIROen
local.contributor.affiliationWalsh, Tom K.; CSIROen
local.contributor.affiliationMoritz, Craig; Administration, Research School of Biology, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationMcGaughran, Angela; Division of Ecology and Evolution, Research School of Biology, ANU College of Science and Medicine, The Australian National Universityen
local.identifier.citationvolume37en
local.identifier.doi10.1093/jeb/voae068en
local.identifier.pure7e055f1d-a8a4-407e-967e-138e029cbd96en
local.identifier.urlhttps://www.scopus.com/pages/publications/85200338510en
local.type.statusPublisheden

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