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An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia.
Souilmi, Yassine; Lauterbur, M Elise; Tobler, Ray; Huber, Christian D; Johar, Angad S; Moradi, Shayli Varasteh; Johnston, Wayne A; Krogan, Nevan J; Alexandrov, Kirill; Enard, David.
  • Souilmi Y; Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia; National Centre for Indigenous Genomics, Australian National University, Canberra, ACT 0200, Australia.
  • Lauterbur ME; University of Arizona Department of Ecology and Evolutionary Biology, Tucson, AZ, USA.
  • Tobler R; Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.
  • Huber CD; Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.
  • Johar AS; Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide, SA 5005, Australia.
  • Moradi SV; CSIRO-QUT Synthetic Biology Alliance, Centre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD 4001, Australia.
  • Johnston WA; CSIRO-QUT Synthetic Biology Alliance, Centre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD 4001, Australia.
  • Krogan NJ; QBI COVID-19 Research Group (QCRG), San Francisco, CA, USA; Quantitative Biosciences Institute (QBI), University of California, San Francisco, San Francisco, CA, USA; J. David Gladstone Institutes, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, S
  • Alexandrov K; CSIRO-QUT Synthetic Biology Alliance, Centre for Tropical Crops and Biocommodities, Queensland University of Technology, Brisbane, QLD 4001, Australia. Electronic address: kirill.alexandrov@qut.edu.au.
  • Enard D; University of Arizona Department of Ecology and Evolutionary Biology, Tucson, AZ, USA. Electronic address: denard@email.arizona.edu.
Curr Biol ; 31(16): 3504-3514.e9, 2021 08 23.
Article in English | MEDLINE | ID: covidwho-1281407
ABSTRACT
The 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).
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Human / Coronavirus Infections / Coronavirus / Pandemics / Host Microbial Interactions Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Curr Biol Journal subject: Biology Year: 2021 Document Type: Article Affiliation country: J.cub.2021.05.067

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genome, Human / Coronavirus Infections / Coronavirus / Pandemics / Host Microbial Interactions Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Curr Biol Journal subject: Biology Year: 2021 Document Type: Article Affiliation country: J.cub.2021.05.067