Communications BiologyMolecular BiologyPeer-reviewed journal article
Determinants of species-specific utilization of ACE2 by human and animal coronaviruses
Qingxing WangiD, Sabrina NoettgeriD, Qinya Xie, Chiara PastorioiD, Alina SeideliD, Janis A. MülleriD, Christoph JungiD, Timo JacobiD, Konstantin M. J. SparreriD, Fabian ZechiD, Frank KirchhoffiD
Abstract
Utilization of human ACE2 allowed several bat coronaviruses (CoVs), including the causative agent of COVID-19, to infect humans either directly or via intermediate hosts. Here, we analyzed the ability of Spike proteins from 24 human or animal CoVs to use ACE2 receptors across nine reservoir, potential intermediate and human hosts. We show that overall SARS-CoV-2 Omicron variants evolved more efficient ACE2 usage but mutation of R493Q in BA.5 Spike disrupts utilization of ACE2 from Greater horseshoe bats. Spikes from most CoVs showed species-specific differences in ACE2 usage, partly due to variations in ACE2 residues 31, 41 or 354. Mutation of T403R allowed the RaTG13 bat CoV Spike to use all ACE2 orthologs analysed for viral entry. Sera from COVID-19 vaccinated individuals neutralized the Spike proteins of a range of bat Sarbecoviruses. Our results define determinants of ACE2 receptor usage of diverse CoVs and suggest that COVID-19 vaccination may protect against future zoonoses of SARS-CoV-related bat viruses. HighlightsO_LIMutation of R493Q in BA.5 Spike disrupts utilization of ACE2 from Greater horseshoe bats C_LIO_LIVariations in ACE2 residues 31, 41 or 354 affect utilization by coronavirus Spike proteins C_LIO_LIResidue R403 in the Spike protein of bat coronavirus allow broad and effective ACE2 usage C_LIO_LISera from COVID-19 vaccinated individuals neutralize Spike proteins of bat Sarbecoviruses C_LI
- organism: human
- organism: mouse
- organism: rat
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein structure prediction
- research focus: drug response / drug discovery
- approach: statistical model
- approach: experimental assay
- Citations
- 15
- FWCI
- 3.09
- Field percentile
- top 8%
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