
doi: 10.1101/2020.04.16.045302 , 10.1073/pnas.2010146117 , 10.5281/zenodo.13513876 , 10.5281/zenodo.13485774 , 10.5281/zenodo.13485775 , 10.5281/zenodo.13513878
pmc: PMC7263403 , PMC7486773
Abstract The novel coronavirus SARS-CoV-2 is the cause of Coronavirus Disease-2019 (COVID-19). The main receptor of SARS-CoV-2, angiotensin I converting enzyme 2 (ACE2), is now undergoing extensive scrutiny to understand the routes of transmission and sensitivity in different species. Here, we utilized a unique dataset of 410 vertebrates, including 252 mammals, to study cross-species conservation of ACE2 and its likelihood to function as a SARS-CoV-2 receptor. We designed a five-category ranking score based on the conservation properties of 25 amino acids important for the binding between receptor and virus, classifying all species from very high to very low . Only mammals fell into the medium to very high categories, and only catarrhine primates in the very high category, suggesting that they are at high risk for SARS-CoV-2 infection. We employed a protein structural analysis to qualitatively assess whether amino acid changes at variable residues would be likely to disrupt ACE2/SARS-CoV-2 binding, and found the number of predicted unfavorable changes significantly correlated with the binding score. Extending this analysis to human population data, we found only rare (<0.1%) variants in 10/25 binding sites. In addition, we observed evidence of positive selection in ACE2 in multiple species, including bats. Utilized appropriately, our results may lead to the identification of intermediate host species for SARS-CoV-2, justify the selection of animal models of COVID-19, and assist the conservation of animals both in native habitats and in human care.
Ecology and Evolutionary Biology, ACE2, Infektionsmedicin, bat, comparative genomics, Structural Biology, Chiroptera, Receptors, Viral, Amino Acids, Chordata, Lung, Immunology and Infectious Disease, Multidisciplinary, and Proteins, Biodiversity, Biological Sciences, Spike Glycoprotein, Virus, Living matter, Infectious Diseases, Virus Diseases, Spike Glycoprotein, Coronavirus, Vertebrates, Mammalia, Receptors, Virus, Coronavirus Infections, Protein Binding, Infectious Medicine, Evolution, Pneumonia, Viral, Bioinformatics and Computational Biology, bats, host range, Infectious Disease, Peptidyl-Dipeptidase A, Article, Host Specificity, Vaccine Related, Evolution, Molecular, Betacoronavirus, Genetic, Biodefense, evolution, Animals, Humans, Animalia, Selection, Genetic, Selection, Pandemics, Binding Sites, SARS-CoV-2, Prevention, species conservation, Molecular, COVID-19, Genetic Variation, Genetics and Genomics, Pneumonia, Coronavirus, Emerging Infectious Diseases, Peptides
Ecology and Evolutionary Biology, ACE2, Infektionsmedicin, bat, comparative genomics, Structural Biology, Chiroptera, Receptors, Viral, Amino Acids, Chordata, Lung, Immunology and Infectious Disease, Multidisciplinary, and Proteins, Biodiversity, Biological Sciences, Spike Glycoprotein, Virus, Living matter, Infectious Diseases, Virus Diseases, Spike Glycoprotein, Coronavirus, Vertebrates, Mammalia, Receptors, Virus, Coronavirus Infections, Protein Binding, Infectious Medicine, Evolution, Pneumonia, Viral, Bioinformatics and Computational Biology, bats, host range, Infectious Disease, Peptidyl-Dipeptidase A, Article, Host Specificity, Vaccine Related, Evolution, Molecular, Betacoronavirus, Genetic, Biodefense, evolution, Animals, Humans, Animalia, Selection, Genetic, Selection, Pandemics, Binding Sites, SARS-CoV-2, Prevention, species conservation, Molecular, COVID-19, Genetic Variation, Genetics and Genomics, Pneumonia, Coronavirus, Emerging Infectious Diseases, Peptides
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 589 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.01% |
