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An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

dc.contributor.authorSouilmi, Yassine
dc.contributor.authorLauterbur, M Elise
dc.contributor.authorTobler, Ray
dc.contributor.authorHuber, Christian D
dc.contributor.authorJohar, Angad S
dc.contributor.authorMoradi, Shayli Varasteh
dc.contributor.authorJohnston, Wayne A
dc.contributor.authorKrogan, Nevan J.
dc.contributor.authorAlexandrov, Kirill
dc.contributor.authorEnard, David
dc.date.accessioned2023-08-22T04:46:02Z
dc.date.available2023-08-22T04:46:02Z
dc.date.issued2021
dc.date.updated2022-07-24T08:19:31Z
dc.description.abstractThe current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has emphasized the vulnerability of human populations to novel viral pressures, despite the vast array of epidemiological and biomedical tools now available. Notably, modern human genomes contain evolutionary information tracing back tens of thousands of years, which may help identify the viruses that have impacted our ancestors—pointing to which viruses have future pandemic potential. Here, we apply evolutionary analyses to human genomic datasets to recover selection events involving tens of human genes that interact with coronaviruses, including SARS-CoV-2, that likely started more than 20,000 years ago. These adaptive events were limited to the population ancestral to East Asian populations. Multiple lines of functional evidence support an ancient viral selective pressure, and East Asia is the geographical origin of several modern coronavirus epidemics. An arms race with an ancient coronavirus, or with a different virus that happened to use similar interactions as coronaviruses with human hosts, may thus have taken place in ancestral East Asian populations. By learning more about our ancient viral foes, our study highlights the promise of evolutionary information to better predict the pandemics of the future. Importantly, adaptation to ancient viral epidemics in specific human populations does not necessarily imply any difference in genetic susceptibility between different human populations, and the current evidence points toward an overwhelming impact of socioeconomic factors in the case of coronavirus disease 2019 (COVID-19).en_AU
dc.description.sponsorshipN.J.K. is funded by grants from the NIH (P50AI150476, U19AI135990, U19AI135972, R01AI143292, R01AI120694, P01AI063302, and R01AI122747); by the Excellence in Research Award (ERA) from the Laboratory for Genomics Research (LGR), a collaboration between UCSF, UCB, and GSK (no. 133122P); by a Fast Grant for COVID-19 from the Emergent Ventures program at the Mercatus Center of George Mason University; by the Roddenberry Foundation; and by funding from F. Hoffmann-La Roche and Vir Biotechnology and gifts from QCRG philanthropic donors. For this work, N.J.K. was supported by the Defense Advanced Research Projects Agency (DARPA) under cooperative agreement no. HR0011-19-2-0020. The authors acknowledge the support of Stanford RISE COVID-19 Crisis Response Faculty Seed Grant Program to Dmitri Petrov. The views, opinions, and/or findings contained in this material are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0960-9822en_AU
dc.identifier.urihttp://hdl.handle.net/1885/296753
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherCell Pressen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP190103705en_AU
dc.relationhttp://purl.org/au-research/grants/arc/DE190101069en_AU
dc.rights© 2021 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceCurrent Biologyen_AU
dc.subjecthuman genomesen_AU
dc.subjectancient epidemicsen_AU
dc.subjectcoronavirusesen_AU
dc.titleAn ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asiaen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue16en_AU
local.bibliographicCitation.lastpage3514en_AU
local.bibliographicCitation.startpage3504en_AU
local.contributor.affiliationSouilmi, Yassine, College of Health and Medicine, ANUen_AU
local.contributor.affiliationLauterbur, M Elise, University of Arizonaen_AU
local.contributor.affiliationTobler, Ray, University of Adelaideen_AU
local.contributor.affiliationHuber, Christian D, University of Adelaideen_AU
local.contributor.affiliationJohar, Angad S, University of Adelaideen_AU
local.contributor.affiliationMoradi, Shayli Varasteh, Queensland University of Technologyen_AU
local.contributor.affiliationJohnston, Wayne A, Queensland University of Technologyen_AU
local.contributor.affiliationKrogan, Nevan J., University of Californiaen_AU
local.contributor.affiliationAlexandrov, Kirill, Queensland University of Technologyen_AU
local.contributor.affiliationEnard, David, University of Arizonaen_AU
local.contributor.authoruidSouilmi, Yassine, u1101916en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor310403 - Biological adaptationen_AU
local.identifier.absfor310510 - Molecular evolutionen_AU
local.identifier.absfor310407 - Host-parasite interactionsen_AU
local.identifier.ariespublicationa383154xPUB22088en_AU
local.identifier.citationvolume31en_AU
local.identifier.doi10.1016/j.cub.2021.05.067en_AU
local.identifier.scopusID2-s2.0-85112667123
local.identifier.thomsonIDWOS:000687948600004
local.publisher.urlhttps://www.cell.com/en_AU
local.type.statusPublished Versionen_AU

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