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1.
Proc Biol Sci ; 289(1979): 20220193, 2022 07 27.
Article in English | MEDLINE | ID: covidwho-1961305

ABSTRACT

Pandemics originating from non-human animals highlight the need to understand how natural hosts have evolved in response to emerging human pathogens and which groups may be susceptible to infection and/or potential reservoirs to mitigate public health and conservation concerns. Multiple zoonotic coronaviruses, such as severe acute respiratory syndrome-associated coronavirus (SARS-CoV), SARS-CoV-2 and Middle Eastern respiratory syndrome-associated coronavirus (MERS-CoV), are hypothesized to have evolved in bats. We investigate angiotensin-converting enzyme 2 (ACE2), the host protein bound by SARS-CoV and SARS-CoV-2, and dipeptidyl-peptidase 4 (DPP4 or CD26), the host protein bound by MERS-CoV, in the largest bat datasets to date. Both the ACE2 and DPP4 genes are under strong selection pressure in bats, more so than in other mammals, and in residues that contact viruses. Additionally, mammalian groups vary in their similarity to humans in residues that contact SARS-CoV, SARS-CoV-2 and MERS-CoV, and increased similarity to humans in binding residues is broadly predictive of susceptibility to SARS-CoV-2. This work augments our understanding of the relationship between coronaviruses and mammals, particularly bats, provides taxonomically diverse data for studies of how host proteins are bound by coronaviruses and can inform surveillance, conservation and public health efforts.


Subject(s)
Chiroptera , Middle East Respiratory Syndrome Coronavirus , Receptors, Coronavirus , SARS-CoV-2 , Severe acute respiratory syndrome-related coronavirus , Angiotensin-Converting Enzyme 2 , Animals , COVID-19 , Chiroptera/genetics , Dipeptidyl Peptidase 4/genetics , Dipeptidyl Peptidase 4/metabolism , Humans , Middle East Respiratory Syndrome Coronavirus/metabolism , Severe acute respiratory syndrome-related coronavirus/metabolism , SARS-CoV-2/metabolism
3.
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).


Subject(s)
Coronavirus Infections/history , Coronavirus/genetics , Genome, Human/genetics , Host Microbial Interactions/genetics , Pandemics/history , Coronavirus Infections/virology , Datasets as Topic , Evolution, Molecular , Asia, Eastern/epidemiology , Gene Frequency , Genetic Predisposition to Disease , Genome, Viral/genetics , Genome-Wide Association Study , History, Ancient , Human Genome Project , Humans , Mutation , Phylogeny , Selection, Genetic
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