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A novel structure-based approach for identification of vertebrate susceptibility to SARS-CoV-2: implications for future surveillance programmes
Open accessPreprint — published as 10.1016/j.envres.2022.113303 · Paper page
Abstract
Understanding the origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a highly debatable and unsolved challenge for the scientific communities across the world. A key to dissect the susceptibility profiles of animal species to SARS-CoV-2 is to understand how virus enters into the cells. The interaction of SARS-CoV-2 ligands (RBD on spike protein) with its host cell receptor, angiotensin-converting enzyme 2 (ACE2), is a critical determinant of host range and cross-species transmission. In this study, we developed and implemented a rigorous computational approach for predicting binding affinity between 299 ACE2 orthologs from diverse vertebrate species and the SARS-CoV-2 spike protein. The findings show that the spike protein of SARS-CoV-2 can bind to many vertebrate species carrying evolutionary divergent ACE2, implying a broad host range at the virus entry level, which may contribute to cross-species transmission and further viral evolution. Additionally, the present study facilitated the identification of genetic determinants that may differentiate susceptible from the resistant host species based on the conservation of ACE2-spike protein interacting residues in vertebrate host species known to facilitate SARS-CoV-2 infection; however, these genetic determinants warrant in vivo experimental confirmation. The molecular interactions associated with varied binding affinity of distinct ACE2 isoforms in a specific bat species were identified using protein structure analysis, implying the existence of diversified susceptibility of bat species to SARS-CoV-2. The findings from current study highlight the importance of intensive surveillance programs aimed at identifying susceptible hosts, particularly those with the potential to transmit zoonotic pathogens, in order to prevent future outbreaks.
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Metadata
- Authors
- Kaushik, R., Kumar, N., Zhang, K. Y. J., Srivastava, P., Bhatia, S., & Malik, Y. S.
- Affiliations
- RIKEN (JP)
- National Institute of High Security Animal Diseases (IN)
- Guru Angad Dev Veterinary and Animal Sciences University (IN)
- Corresponding author
- Malik, Yashpal Singh
- Venue
- Environmental Research
- Publisher
- openRxiv
- Published
- 2022-01-12
- Volume
- 212
- Issue
- Pt C
- Pages
- 113303-113303
- ISSN
- 0013-9351 (ISSN-L)
- PMC
- PMC9020514
- OpenAlex
- W4225606090
- Cited by
- 13
- References
- 1
- Citations by year
- 2026: 4 · 2024: 4 · 2023: 3 · 2022: 2
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Environmental Research (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- ICAR - National Agricultural Science Fund (NASF/ABA-8028/2020-21)
- Indian Council of Agricultural Research
- Japan Society for the Promotion of Science (18H02395)
- RIKEN
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › vaccines and immunoinformatics approaches
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
- Keywords
- SARS-CoV-2, ACE2, spike protein, host range, interspecies transmission, binding affinity prediction, zoonotic pathogens, receptor binding domain
- MeSH terms
- Angiotensin-Converting Enzyme 2, COVID-19, SARS-CoV-2, Animals, Humans, Peptidyl-Dipeptidase A, Vertebrates, Spike Glycoprotein, Coronavirus
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