Dataset Information

Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus.

ABSTRACT: Recently, a novel coronavirus (2019-nCoV) has emerged from Wuhan, China, causing symptoms in humans similar to those caused by severe acute respiratory syndrome coronavirus (SARS-CoV). Since the SARS-CoV outbreak in 2002, extensive structural analyses have revealed key atomic-level interactions between the SARS-CoV spike protein receptor-binding domain (RBD) and its host receptor angiotensin-converting enzyme 2 (ACE2), which regulate both the cross-species and human-to-human transmissions of SARS-CoV. Here, we analyzed the potential receptor usage by 2019-nCoV, based on the rich knowledge about SARS-CoV and the newly released sequence of 2019-nCoV. First, the sequence of 2019-nCoV RBD, including its receptor-binding motif (RBM) that directly contacts ACE2, is similar to that of SARS-CoV, strongly suggesting that 2019-nCoV uses ACE2 as its receptor. Second, several critical residues in 2019-nCoV RBM (particularly Gln493) provide favorable interactions with human ACE2, consistent with 2019-nCoV's capacity for human cell infection. Third, several other critical residues in 2019-nCoV RBM (particularly Asn501) are compatible with, but not ideal for, binding human ACE2, suggesting that 2019-nCoV has acquired some capacity for human-to-human transmission. Last, while phylogenetic analysis indicates a bat origin of 2019-nCoV, 2019-nCoV also potentially recognizes ACE2 from a diversity of animal species (except mice and rats), implicating these animal species as possible intermediate hosts or animal models for 2019-nCoV infections. These analyses provide insights into the receptor usage, cell entry, host cell infectivity and animal origin of 2019-nCoV and may help epidemic surveillance and preventive measures against 2019-nCoV.IMPORTANCE The recent emergence of Wuhan coronavirus (2019-nCoV) puts the world on alert. 2019-nCoV is reminiscent of the SARS-CoV outbreak in 2002 to 2003. Our decade-long structural studies on the receptor recognition by SARS-CoV have identified key interactions between SARS-CoV spike protein and its host receptor angiotensin-converting enzyme 2 (ACE2), which regulate both the cross-species and human-to-human transmissions of SARS-CoV. One of the goals of SARS-CoV research was to build an atomic-level iterative framework of virus-receptor interactions to facilitate epidemic surveillance, predict species-specific receptor usage, and identify potential animal hosts and animal models of viruses. Based on the sequence of 2019-nCoV spike protein, we apply this predictive framework to provide novel insights into the receptor usage and likely host range of 2019-nCoV. This study provides a robust test of this reiterative framework, providing the basic, translational, and public health research communities with predictive insights that may help study and battle this novel 2019-nCoV.

SUBMITTER: Wan Y

PROVIDER: S-EPMC7081895 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:The emergence of 2019 novel coronavirus (2019-nCoV) is of global concern and might have emerged from RNA recombination among existing coronaviruses. CoV spike (S) protein which is crucial for receptor binding, membrane fusion via conformational changes, internalization of the virus, host tissue tropism and comprises crucial targets for vaccine development, remain largely uncharacterized. Therefore, the present study has been planned to determine the sequence variation, structural and antigenic divergence of S glycoprotein which may be helpful for the management of 2019-nCoV infection. The sequences of spike glycoprotein of 2019-nCoV and SARS coronavirus (SARS-CoV) were used for the comparison. The sequence variations were determined using EMBOSS Needle pairwise sequence alignment tools. The variation in glycosylation sites was predicted by NetNGlyc 1.0 and validated by N-GlyDE server. Antigenicity was predicted by NetCTL 1.2 and validated by IEDB Analysis Resource server. The structural divergence was determined by using SuperPose Version 1.0 based on cryo-EM structure of the SARS coronavirus spike glycoprotein. Our data suggests that 2019-nCoV is newly spilled coronavirus into humans in China is closely related to SARS-CoV, which has only 12.8% of difference with SARS-CoV in S protein and has 83.9% similarity in minimal receptor-binding domain with SARS-CoV. Addition of a novel glycosylation sites were observed in 2019-nCoV. In addition, antigenic analysis proposes that great antigenic differences exist between both the viral strains, but some of the epitopes were found to be similar between both the S proteins. In spite of the variation in S protein amino acid composition, we found no significant difference in their structures. Collectively, for the first time our results exhibit the emergence of human 2019-nCoV is closely related to predecessor SARS-CoV and provide the evidence that 2019-nCoV uses various novel glycosylation sites as SARS-CoV and may have a potential to become pandemic owing its antigenic discrepancy. Further, demonstration of novel Cytotoxic T lymphocyte epitopes may impart opportunities for the development of peptide based vaccine for the prevention of 2019-nCoV.

Project description:Understanding the evolutionary strategies of the SARS-CoV-2 omicron variant is crucial for comprehending the COVID-19 pandemic and preventing future coronavirus pandemics. In this study, we determined the crystal structures of the receptor-binding domains (RBDs) from currently circulating omicron subvariants XBB.1 and XBB.1.5 (also the emerging XBB.1.9.1), each complexed with human ACE2. We studied how individual RBD residues evolved structurally in omicron subvariants, specifically how they adapted to human ACE2. Our findings revealed that residues 493 and 496, which exhibited good human ACE2 adaptation in pre-omicron variants, evolved to poor adaptation in early omicron subvariants (but with good adaption to mouse ACE2) and then reverted to good adaptation in recent omicron subvariants. This result is consistent with the hypothesis that non-human animals facilitated the evolution of early omicron subvariants. Additionally, residue 486, which exhibited good human ACE2 adaptation in early omicron subvariants, evolved to poor adaptation in later omicron subvariants and then returned to good adaptation in recent omicron subvariants. This result is consistent with the hypothesis that immune evasion facilitated the evolution of later omicron subvariants. Thus, our study suggests that both non-human animals and immune evasion may have contributed to driving omicron evolution at different stages of the pandemic. IMPORTANCE The sudden emergence and continued evolution of the SARS-CoV-2 omicron variant have left many mysteries unanswered, such as the origin of early omicron subvariants and the factors driving omicron evolution. To address these questions, we studied the crystal structures of human ACE2-bound receptor-binding domains (RBDs) from omicron subvariants XBB.1 and XBB.1.5 (XBB.1.9.1). Our in-depth structural analysis sheds light on how specific RBD mutations adapt to either human or mouse ACE2 and suggests non-human animals and immune evasion may have influenced omicron evolution during different stages of the pandemic. These findings provide valuable insights into the mechanisms underlying omicron evolution, deepen our understanding of the COVID-19 pandemic, and have significant implications for preventing future coronavirus pandemics.

Dataset Information

Receptor Recognition by the Novel Coronavirus from Wuhan: an Analysis Based on Decade-Long Structural Studies of SARS Coronavirus.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets