Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebrates
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Abstract
Significance: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of COVID-19, a major pandemic that threatens millions of human lives and the global economy. We identified a large number of mammals that can potentially be infected by SARS-CoV-2 via their ACE2 proteins. This can assist the identification of intermediate hosts for SARS-CoV-2 and hence reduce the opportunity for a future outbreak of COVID-19. Among the species we found with the highest risk for SARS-CoV-2 infection are wildlife and endangered species. These species represent an opportunity for spillover of SARS-CoV-2 from humans to other susceptible animals. Given the limited infectivity data for the species studied, we urge caution not to overinterpret the predictions of the present study.
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TOGA enables phylogenomic analyses as well as screens for selection patterns and gene losses that are linked to relevant phenotypes.
“First, by detecting inactivated genes and providing orthologous sequences for codon alignments, TOGA enables phylogenomic analyses as well as screens for selection patterns and gene losses that are linked to relevant phenotypes (6, 35–38).”
From Integrating gene annotation with orthology inference at scale (2023) · cites this paper as [35]
The Materials and Methods section, “Identifying Sites Undergoing Positive Selection” (page unavailable), describes codon alignments generated with pal2nal and selection analyses performed with CodeML. Searches for TOGA, inactivated genes, and gene losses found no passage attributing these capabilities to TOGA; the claim therefore cannot be verified from our copy. (LLM, conf=0.76)
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“When ACE2 from species in our study were compared with results of other studies there were many consistencies, such as the low risk for rodents, but some predictions differ, such as the relatively high risk predicted by others for SARS-CoV-2 S binding in pangolin and horse (39), civet (40), Chinese rufous horseshoe ba…”
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- Authors
- Damas, J., Hughes, G. M., Keough, K. C., Painter, C. A., Persky, N. S., Corbo, M., Hiller, M., Koepfli, K.-P., Pfenning, A. R., Zhao, H., Genereux, D. P., Swofford, R., Pollard, K. S., Ryder, O. A., Nweeia, M. T., Lindblad-Toh, K., Teeling, E. C., Karlsson, E. K., & Lewin, H. A.
- Affiliations
- University of California, Davis (US)
- University College Dublin (IE)
- Gladstone Institutes (US)
- Broad Institute (US)
- Max Planck Institute for the Physics of Complex Systems (DE)
- Smithsonian Conservation Biology Institute (US)
- Carnegie Mellon University (US)
- Tibet University (CN)
- University of California San Diego (US)
- Smithsonian Institution (US)
- Broad Institute of MIT and Harvard, Cambridge, MA 02142;
- Institute of the Environment (US)
- Corresponding author
- Lewin, Harris A.
- ORCID
- Damas, Joana
- Hughes, Graham M.
- Keough, Kathleen C.
- Painter, Corrie A.
- Persky, Nicole S.
- Corbo, Marco
- Hiller, Michael
- Koepfli, Klaus-Peter
- Pfenning, Andreas R.
- Zhao, Huabin
- Genereux, Diane P.
- Swofford, Ross
- Pollard, Katherine S.
- Ryder, Oliver A.
- Nweeia, Martin T.
- Lindblad-Toh, Kerstin
- Teeling, Emma C.
- Karlsson, Elinor K.
- Lewin, Harris A.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2020-08-21
- Volume
- 117
- Issue
- 36
- Pages
- 22311-22322
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC7486773
- OpenAlex
- W3080128212
- Cited by
- 633
- References
- 8
- Citations by year
- 2026: 17 · 2025: 39 · 2024: 82 · 2023: 111 · 2022: 149 · 2021: 158 · 2020: 77
- FWCI
- 16.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Uppsala University Publications (Uppsala University) (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Knut och Alice Wallenbergs Stiftelse (n/a)
- Irish Research Council (n/a)
- Roddenberry Foundation (n/a)
- Gladstone Institutes (n/a)
- HHS | NIH | National Human Genome Research Institute (R01HG008742)
- National Science Foundation (2029774)
- National Natural Science Foundation of China (31722051)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Zoonotic diseases and public health
- Keywords
- SARS-CoV-2, ACE2, spike protein binding, host range, catarrhine primates, bats, positive selection, accelerated evolution, intermediate hosts, animal model of COVID-19, interspecies transmission
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Amino Acids, Animals, Binding Sites, Humans, Peptidyl-Dipeptidase A, Pneumonia, Viral, Protein Binding, Receptors, Virus, Selection, Genetic, Genetic Variation, Vertebrates, Coronavirus Infections, Evolution, Molecular, Host Specificity, Pandemics, Spike Glycoprotein, Coronavirus
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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