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Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species
Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is the cause of the global pandemic of coronavirus disease‐2019 (COVID‐19). SARS‐CoV‐2 is a zoonotic disease, but little is known about variations in species susceptibility that could identify potential reservoir species, animal models, an...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675292/ https://www.ncbi.nlm.nih.gov/pubmed/33015868 http://dx.doi.org/10.1096/fj.202001808R |
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author | Alexander, Matthew R. Schoeder, Clara T. Brown, Jacquelyn A. Smart, Charles D. Moth, Chris Wikswo, John P. Capra, John A. Meiler, Jens Chen, Wenbiao Madhur, Meena S. |
author_facet | Alexander, Matthew R. Schoeder, Clara T. Brown, Jacquelyn A. Smart, Charles D. Moth, Chris Wikswo, John P. Capra, John A. Meiler, Jens Chen, Wenbiao Madhur, Meena S. |
author_sort | Alexander, Matthew R. |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is the cause of the global pandemic of coronavirus disease‐2019 (COVID‐19). SARS‐CoV‐2 is a zoonotic disease, but little is known about variations in species susceptibility that could identify potential reservoir species, animal models, and the risk to pets, wildlife, and livestock. Certain species, such as domestic cats and tigers, are susceptible to SARS‐CoV‐2 infection, while other species such as mice and chickens are not. Most animal species, including those in close contact with humans, have unknown susceptibility. Hence, methods to predict the infection risk of animal species are urgently needed. SARS‐CoV‐2 spike protein binding to angiotensin‐converting enzyme 2 (ACE2) is critical for viral cell entry and infection. Here we integrate species differences in susceptibility with multiple in‐depth structural analyses to identify key ACE2 amino acid positions including 30, 83, 90, 322, and 354 that distinguish susceptible from resistant species. Using differences in these residues across species, we developed a susceptibility score that predicts an elevated risk of SARS‐CoV‐2 infection for multiple species including horses and camels. We also demonstrate that SARS‐CoV‐2 is nearly optimal for binding ACE2 of humans compared to other animals, which may underlie the highly contagious transmissibility of this virus among humans. Taken together, our findings define potential ACE2 and SARS‐CoV‐2 residues for therapeutic targeting and identification of animal species on which to focus research and protection measures for environmental and public health. |
format | Online Article Text |
id | pubmed-7675292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76752922020-11-19 Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species Alexander, Matthew R. Schoeder, Clara T. Brown, Jacquelyn A. Smart, Charles D. Moth, Chris Wikswo, John P. Capra, John A. Meiler, Jens Chen, Wenbiao Madhur, Meena S. FASEB J Research Articles Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is the cause of the global pandemic of coronavirus disease‐2019 (COVID‐19). SARS‐CoV‐2 is a zoonotic disease, but little is known about variations in species susceptibility that could identify potential reservoir species, animal models, and the risk to pets, wildlife, and livestock. Certain species, such as domestic cats and tigers, are susceptible to SARS‐CoV‐2 infection, while other species such as mice and chickens are not. Most animal species, including those in close contact with humans, have unknown susceptibility. Hence, methods to predict the infection risk of animal species are urgently needed. SARS‐CoV‐2 spike protein binding to angiotensin‐converting enzyme 2 (ACE2) is critical for viral cell entry and infection. Here we integrate species differences in susceptibility with multiple in‐depth structural analyses to identify key ACE2 amino acid positions including 30, 83, 90, 322, and 354 that distinguish susceptible from resistant species. Using differences in these residues across species, we developed a susceptibility score that predicts an elevated risk of SARS‐CoV‐2 infection for multiple species including horses and camels. We also demonstrate that SARS‐CoV‐2 is nearly optimal for binding ACE2 of humans compared to other animals, which may underlie the highly contagious transmissibility of this virus among humans. Taken together, our findings define potential ACE2 and SARS‐CoV‐2 residues for therapeutic targeting and identification of animal species on which to focus research and protection measures for environmental and public health. John Wiley and Sons Inc. 2020-10-04 2020-12 /pmc/articles/PMC7675292/ /pubmed/33015868 http://dx.doi.org/10.1096/fj.202001808R Text en © 2020 The Authors. The FASEB Journal published by Wiley Periodicals LLC on behalf of Federation of American Societies for Experimental Biology https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Alexander, Matthew R. Schoeder, Clara T. Brown, Jacquelyn A. Smart, Charles D. Moth, Chris Wikswo, John P. Capra, John A. Meiler, Jens Chen, Wenbiao Madhur, Meena S. Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title | Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title_full | Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title_fullStr | Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title_full_unstemmed | Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title_short | Predicting susceptibility to SARS‐CoV‐2 infection based on structural differences in ACE2 across species |
title_sort | predicting susceptibility to sars‐cov‐2 infection based on structural differences in ace2 across species |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7675292/ https://www.ncbi.nlm.nih.gov/pubmed/33015868 http://dx.doi.org/10.1096/fj.202001808R |
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