Literature DB >> 33969357

Structural Consequences of Variation in SARS-CoV-2 B.1.1.7.

David A Ostrov1.   

Abstract

New globally circulating SARS-CoV-2 strains are causing concern about evolution of virus transmissibility, fitness and immune evasion mechanisms. A variant emerging from the United Kingdom called SARS-CoV-2 VUI 202012/01, or B.1.1.7, is thought to exhibit increased transmissibility that results from replication 4-10 times faster than the original Wuhan virus (Wuhan-Hu-1). Although this property is suspected to result from a specific mutation in the spike glycoprotein, D614G, there are 9 mutations that distinguish the UK variant B.1.1.7 from Wuhan-Hu-1 yet to be evaluated for functional effects. We asked if mutated positions fixed in UK variant B.1.1.7 may be involved in the virus life cycle, or evasion of the immune response, by modeling the UK variant spike protein and conducting structural analysis of mutations on the spike glycoprotein trimer (protomer) complexed to ACE2. Importantly, 4 out of 9 differences between the UK variant B.1.1.7 and Wuhan-Hu-1 spike protein alter direct intermolecular interactions. N501Y increased affinity between the spike protein and ACE2. The mutations at A570D, D614G and S982A reduced contact between individual chains of the trimeric spike protomer, potentially enhancing cleavage into S1 and S2 subunits, dynamic structural rearrangement and host cell fusion mechanisms. These data suggest that combined characteristics of mutations unique to UK variant B.1.1.7 enable high affinity binding to ACE2 and enhanced replication properties. The D614G mutation, associated with enhanced virus transmissibility, opens a potentially druggable structural pocket at the interface between spike glycoprotein subunits S1 and S2.

Entities:  

Keywords:  Angiotensin Converting Enzyme-2; Drug discovery; Mutation; SARS-CoV-2

Year:  2021        PMID: 33969357      PMCID: PMC8104447          DOI: 10.33696/immunology.3.085

Source DB:  PubMed          Journal:  J Cell Immunol        ISSN: 2689-2812


Results and Discussion

There are 9 sites that differ between SARS-CoV-2 spike glycoproteins from the original Wuhan strain (Wuhan-Hu-1) and UK variant B.1.1.7 [1] (Figure 1, Table 1). There are 2 sites with deletions (positions 69–70, 144–145) and 7 sites with amino acid substitutions (4 positions in the S1 subunit and 3 positions in S2). Most substitutions in the spike protein that distinguish UK variant B.1.1.7 are located at sites of intermolecular interaction (4 out of 7 substitutions). One mutation (N501Y) enhanced the affinity of the spike protein with ACE2 [2]. N501Y was modeled based on the cryoEM structure of the Wuhan-Hu-1 spike protein/ACE2 complex [3] (Figure 2A, PDB 6M17), indicating that the gain in affinity likely results from aromatic interactions (π stacking) between Tyr501 and Tyr41 of ACE2 (Figure 2B).
Figure 1:

The location of mutated positions that distinguish the United Kingdom variant SARS-CoV-2 B.1.1.7 from Wuhan-Hu-1.

A. Sites that differ between B.1.1.7 and Wuhan-Hu-1 indicated on the primary structure of the coronavirus spike protein. NTD: N-terminal Domain; RBD: Receptor Binding Domain; FP: Fusion Peptide; HR1: Heptad Repeat 1; HR2: Heptad Repeat 2; TM: Transmembrane anchor; IC: Intracellular tail. B. Ribbon diagram model of B.1.1.7 spike glycoprotein based on the structure of the trimeric protomer (PDB 6VSB). Sites that differ between B.1.1.7 and Wuhan-Hu-1 are shown as red spheres. One chain of the spike trimer is shown in blue with one RBD in the up conformation. C. Model of the B.1.1.7 spike protein trimer complexed to ACE2. ACE2 is shown in yellow. The spike protein trimer is shown in blue, green and grey. The modeled interaction between ACE2 and the RBD was based on the 2019-nCoV RBD/ACE2 complex (PDB 6M17).

Table 1:

Locations, surface accessibility and interactions of mutations that distinguish the B.1.1.7 and Wuhan-Hu-1 spike proteins.

MutationLocationInteractionSolvent accessibility in protomer (PDB 6VSB)Potential effect
Deletion 69–70N-terminal domainNoneNoneLoss of T and B cell epitopes
Deletion 144–145N-terminal domainNoneNoneLoss of T and B cell epitopes
Asn501TyrRBDLys 353 in ACE2 PDB 6M17ExposedEnhance ACE2 binding affinity Altered T and B cell epitopes
Ala570AspBetween RBD and S1/S2 boundaryIntermolecular contact with Lys 964, (chain B 6VSB)ExposedProtomer stability, dynamics of cleavage and fusionAltered T and B cell epitopes
Asp614GlyBetween RBD and S1/S2 boundaryIntermolecular contact with Thr 859 (chain B 6VSB)ExposedProtomer stability, dynamics of cleavage and fusionAltered T and B cell epitopes
Pro681HisAdjacent to furin cleavage siteNoneExposedAltered S1/S2 cleavage in endosomes from protonated HisAlteration of T and B cell epitopes
Thr716IleS2 between fusion peptide and Heptad Repeat 1NoneExposedMinor alteration of T and B cell epitopes
Ser982AlaHeptad Repeat 1 in S2Intermolecular contact with Thr 547 (chain C 6VSB)ExposedProtomer stability, dynamics of cleavage and fusionAlteration of T and B cell epitopes
Asp1118HisS2Intramolecular contact with Val 951BuriedAlteration of T cell epitopes
Figure 2:

A mutation at position 501 in SARS-CoV-2 B.1.1.7 increases affinity for ACE2 by altering intermolecular interactions.

A. Asn501 in the spike glycoprotein from Wuhan-Hu-1 (blue) forms a H bond (black dashes) with Tyr41 in ACE2 (yellow). B. Tyr501 in SARS-CoV-2 VUI 202012/01 form an aromatic stack with Tyr41 and a H bond with Lys353.

Strikingly, 3 mutations in the spike protein that distinguish UK variant B.1.1.7 are located at interfaces between subunits of the trimeric protomer. Unlike the mutation at position 501 that increased affinity for ACE2, the 3 substitutions at spike trimer interfaces likely reduce intermolecular binding affinity. The mutations likely increase spike protein lability in a manner that enhances dynamic virus processes that include spike protein cleavage, structural rearrangement and host cell fusion mechanisms. Intermolecular interactions between individual chains of the SARS-CoV-2 spike glycoprotein were observed at positions A570 (Figure 3A), D614 (Figure 3B), and S982 (Figure 3C) in the original Wuhan strain (Wuhan-Hu-1). The A570D substitution in the UK variant B.1.1.7 variant introduces steric clash with the backbone amide of K964 (Figure 3D). The D614G substitution results in the formation of a distinctive cavity at the interface of spike protein subunits in the UK variant B.1.1.7 trimer (Figure 3E). The S982A in UK variant B.1.1.7 lacks intermolecular hydrogen (H) bonding potential between spike protein subunits at this site (Figure 3F). Collectively, these data suggest that: 1) the UK variant B.1.1.7 exhibits a change that enhances affinity for the coronavirus receptor ACE2 (N501Y), and 2) mutations may enhance dynamic virus fusion mechanisms by reducing intermolecular stability of spike protein subunits (A570D, D614G, S982A).
Figure 3:

Mutations in the SARS-CoV-2 B.1.1.7 hinder intermolecular interactions between subunits of the spike glycoprotein.

A. Ala570 in the spike glycoprotein from Wuhan-Hu-1 (blue) forms an intermolecular van der Waals (green dashes) contact with the main chain amide of Lys964 from the neighboring chain (grey). B. Asp570 in the SARS-CoV-2 UK variant is expected to form a repulsive interaction (red dashes) because of a potential clash with the main chain of the neighboring chain (grey). C. Asp614 in the spike glycoprotein from Wuhan-Hu-1 (blue) forms an intermolecular H bond with Thr859 a neighboring chain (green). D. Gly614 in the SARS-CoV-2 UK variant results in a loss of a H bond with Thr859 at the interface between two spike protein subunits (blue and green) of the trimeric protomer forming a potentially druggable structural pocket. E. Ser982 in the spike glycoprotein from Wuhan-Hu-1 (blue) forms an intermolecular H bond with Thr547 of a neighboring chain (grey). F. Ala982 in the spike protein of the UK variant (blue) prevents H bonding with Thr547 of a neighboring chain (grey).

P681H represents a potentially important difference between Wuhan-Hu-1 sequence and UK variant B.1.1.7. Position 681 is located adjacent to the RRAR proprotein convertase motif considered a hallmark of high pathogenesis (PRRAR in Wuhan-Hu-1 [4], HRRAR in B.1.1.7). This site is cleaved by furin and other proteases to separate the S1 and S2 subunits of the spike protein, which undergo structural rearrangement and fusion with host cell membranes mediated by heptad repeat domains in S2. Since endosomal S1/S2 cleavage occurs in an acidified environment, a protonated histidine at position 681 of the UK variant B.1.1.7 has the potential to influence the rate of spike protein cleavage and subsequent membrane fusion mechanisms to gain cell entry. Since SARS-CoV-2 variants with D614G, such as UK variant B.1.1.7, currently predominate globally, we asked if the interface between individual chains of the spike protein trimer at position 614 may be druggable. A model of the spike protein trimer of the UK variant B.1.1.7 was used as the basis for molecular docking. 1,207 FDA approved drugs were docked to the interface site formed between position D614G and T859 of neighboring chains in the spike protein trimer. Drugs were estimated to bind the UK variant B.1.1.7 at the D614G site, such as the anti-leprosy drug sulfoxone, ΔG −24.4 kcal/mol (Figure 4). These data suggest that drugs may be developed to target highly transmissible SARS-CoV-2 strains including the UK variant B.1.1.7.
Figure 4:

Highly transmissible strains of D614G SARS-CoV-2 in the global human population exhibit a unique, potentially druggable structural pocket.

A model of the B.1.1.7 spike protein was used as the basis for molecular docking screening of 1,207 approved drugs. Sulfoxone was predicted by DOCK6.7 (UCSF) to bind the interface between subunits of the spike protomer at position 614 with an estimated ΔG value of −24.4 kcal/mol.

As mutations that distinguish the UK variant B.1.1.7 may influence immune responses, we analyzed solvent accessibility of positions that differ with Wuhan-Hu-1 (Table 1). Although N501Y has the potential to influence neutralizing antibody binding, this semiconservative difference is located at the edge of the ACE2/spike protein interface, therefore not expected to dramatically alter neutralizing antibody responses. T cells recognize SARS-CoV-2 peptides in the context of multiple HLA molecules [5], suggesting that differences between peptides derived from the Wuhan-Hu-1 spike protein or UK variant B.1.1.7 are not expected to radically influence the overall function of polyclonal T cell responsiveness to infection. However, surveillance of neutralizing antibody responses and T responses to peptides derived from the UK variant B.1.1.7 in COVID-19 patients will be required to understand functional effects on immune recognition. Over the past year, the virus has adapted variant forms with improved fitness. Mutations that distinguish UK variant B.1.1.7 increase virus fitness through mechanisms that likely include: 1) increased affinity for binding to the coronavirus receptor ACE2, and 2) alteration of intermolecular contacts between subunits of the spike protein trimer. Changes in intermolecular contacts are expected to improve dynamic mechanisms involved in spike protein cleavage, structural rearrangement and host cell membrane fusion. Emerging mutations such as D614G can serve as the basis for drug discovery efforts to target specific highly transmissible variants such as UK variant B.1.1.7.

Methods

Sequences of UK variant B.1.1.7 and reference Wuhan-Hu-1

The Wuhan-Hu-1 sequence was used as a reference (GENBANK accession number MN908947). A Threat Assessment Brief, December 20, 2020, was used to define mutations that distinguish the UK variant B.1.1.7 (https://www.ecdc.europa.eu/en/publications-data/threat-assessment-brief-rapid-increase-sars-cov-2-variant-united-kingdom).

Modeling mutations in the UK variant B.1.1.7 spike glycoprotein

The cryoEM structure of the SARS-CoV-2 (Wuhan-Hu-1) RBD/ACE2-B0AT1 complex [3] (PDB 6M17) was used as the basis for modeling N501Y. The prefusion SARS-CoV-2 (Wuhan-Hu-1) spike glycoprotein with a single receptor-binding domain up [6] (PDB 6VSB) was used as the basis for modeling D570A, D614G, T716I, S982A and D1118H. Side chains were mutated in COOT [7] using rotamers that represent a local energy minimum of torsional angles.

Molecular docking

We used the atomic model of the UK variant B.1.1.7 spike protein as the basis for molecular docking. To prepare the site for docking, all water molecules were removed. We explored the molecular surface of the structure using sets of spheres to describe potential binding pockets at the UK variant B.1.1.7 interface between the equivalent of chains A and B of PDB 6VSB. The sites selected for molecular docking were defined using the SPHGEN program in DOCK [8,9], which generates a grid of points that reflect the shape of the selected site, then filtered through CLUSTER. The CLUSTER program groups the selected spheres to define the points that were used by DOCK6.7 (UCSF) to match potential ligand atoms with spheres. Intermolecular AMBER energy scoring (van der Waals plus columbic), contact scoring, and bump filtering were implemented in the DOCK program algorithm. Atomic coordinates for 1,207 FDA approved small were positioned in a structural pocket located at position G614 of chain A, and position T859 in chain B. Each drug was docked in 1,000 different orientations and scored on the basis of predicted polar (hydrogen bond) and nonpolar (van der Waals) interactions. The most favorable orientation and scores (contact and electrostatic) were calculated. PyMOL (https://pymol.org/2/) was used to generate molecular graphic images and animation (Supplemental material).
  9 in total

Review 1.  Lead discovery using molecular docking.

Authors:  Brian K Shoichet; Susan L McGovern; Binqing Wei; John J Irwin
Journal:  Curr Opin Chem Biol       Date:  2002-08       Impact factor: 8.822

2.  Features and development of Coot.

Authors:  P Emsley; B Lohkamp; W G Scott; K Cowtan
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2010-03-24

3.  Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation.

Authors:  Daniel Wrapp; Nianshuang Wang; Kizzmekia S Corbett; Jory A Goldsmith; Ching-Lin Hsieh; Olubukola Abiona; Barney S Graham; Jason S McLellan
Journal:  Science       Date:  2020-02-19       Impact factor: 47.728

4.  Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2.

Authors:  Yuanyuan Zhang; Yaning Li; Renhong Yan; Lu Xia; Yingying Guo; Qiang Zhou
Journal:  Science       Date:  2020-03-04       Impact factor: 47.728

5.  New variant of SARS-CoV-2 in UK causes surge of COVID-19.

Authors:  Tony Kirby
Journal:  Lancet Respir Med       Date:  2021-01-05       Impact factor: 30.700

6.  Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding.

Authors:  Tyler N Starr; Allison J Greaney; Sarah K Hilton; Daniel Ellis; Katharine H D Crawford; Adam S Dingens; Mary Jane Navarro; John E Bowen; M Alejandra Tortorici; Alexandra C Walls; Neil P King; David Veesler; Jesse D Bloom
Journal:  Cell       Date:  2020-08-11       Impact factor: 41.582

Review 7.  Docking and chemoinformatic screens for new ligands and targets.

Authors:  Peter Kolb; Rafaela S Ferreira; John J Irwin; Brian K Shoichet
Journal:  Curr Opin Biotechnol       Date:  2009-09-03       Impact factor: 9.740

8.  Structural basis of receptor recognition by SARS-CoV-2.

Authors:  Jian Shang; Gang Ye; Ke Shi; Yushun Wan; Chuming Luo; Hideki Aihara; Qibin Geng; Ashley Auerbach; Fang Li
Journal:  Nature       Date:  2020-03-30       Impact factor: 49.962

9.  Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals.

Authors:  Alba Grifoni; Daniela Weiskopf; Sydney I Ramirez; Jose Mateus; Jennifer M Dan; Carolyn Rydyznski Moderbacher; Stephen A Rawlings; Aaron Sutherland; Lakshmanane Premkumar; Ramesh S Jadi; Daniel Marrama; Aravinda M de Silva; April Frazier; Aaron F Carlin; Jason A Greenbaum; Bjoern Peters; Florian Krammer; Davey M Smith; Shane Crotty; Alessandro Sette
Journal:  Cell       Date:  2020-05-20       Impact factor: 66.850

  9 in total
  17 in total

1.  Evolution of SARS-CoV-2 in Spain during the First Two Years of the Pandemic: Circulating Variants, Amino Acid Conservation, and Genetic Variability in Structural, Non-Structural, and Accessory Proteins.

Authors:  Paloma Troyano-Hernáez; Roberto Reinosa; África Holguín
Journal:  Int J Mol Sci       Date:  2022-06-07       Impact factor: 6.208

Review 2.  Passive Immunotherapy Against SARS-CoV-2: From Plasma-Based Therapy to Single Potent Antibodies in the Race to Stay Ahead of the Variants.

Authors:  William R Strohl; Zhiqiang Ku; Zhiqiang An; Stephen F Carroll; Bruce A Keyt; Lila M Strohl
Journal:  BioDrugs       Date:  2022-04-27       Impact factor: 7.744

3.  Preclinical immunological evaluation of an intradermal heterologous vaccine against SARS-CoV-2 variants.

Authors:  Shengtao Fan; Kang Xiao; Dandan Li; Heng Zhao; Jingjing Zhang; Li Yu; Penglan Chang; Shuangli Zhu; Xingli Xu; Yun Liao; Tianjiao Ji; Guorun Jiang; Dongmei Yan; Fengyuan Zeng; Suqin Duan; Baicheng Xia; Lichun Wang; Fengmei Yang; Zhanlong He; Yang Song; Pingfang Cui; Xiaolei Li; Yaxing Zhang; Bangyi Zheng; Ying Zhang; Wenbo Xu; Qihan Li
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 7.163

Review 4.  D614G mutation and SARS-CoV-2: impact on S-protein structure, function, infectivity, and immunity.

Authors:  Manojit Bhattacharya; Srijan Chatterjee; Ashish Ranjan Sharma; Govindasamy Agoramoorthy; Chiranjib Chakraborty
Journal:  Appl Microbiol Biotechnol       Date:  2021-11-10       Impact factor: 4.813

5.  A Comparative Study between Spanish and British SARS-CoV-2 Variants.

Authors:  Jose A Jimenez Ruiz; Cecilia Lopez Ramirez; Jose Luis Lopez-Campos
Journal:  Curr Issues Mol Biol       Date:  2021-11-16       Impact factor: 2.976

6.  Phage Display-Derived Compounds Displace hACE2 from Its Complex with SARS-CoV-2 Spike Protein.

Authors:  Marc Sevenich; Elena Thul; Nils-Alexander Lakomek; Thomas Klünemann; Maren Schubert; Federico Bertoglio; Joop van den Heuvel; Patrick Petzsch; Jeannine Mohrlüder; Dieter Willbold
Journal:  Biomedicines       Date:  2022-02-14

7.  Whole genome sequencing of SARS-CoV2 strains circulating in Iran during five waves of pandemic.

Authors:  Jila Yavarian; Ahmad Nejati; Vahid Salimi; Nazanin Zahra Shafiei Jandaghi; Kaveh Sadeghi; Adel Abedi; Ali Sharifi Zarchi; Mohammad Mehdi Gouya; Talat Mokhtari-Azad
Journal:  PLoS One       Date:  2022-05-02       Impact factor: 3.752

Review 8.  Photonics enabled intelligence system to identify SARS-CoV 2 mutations.

Authors:  Bakr Ahmed Taha; Qussay Al-Jubouri; Yousif Al Mashhadany; Mohd Saiful Dzulkefly Bin Zan; Ahmad Ashrif A Bakar; Mahmoud Muhanad Fadhel; Norhana Arsad
Journal:  Appl Microbiol Biotechnol       Date:  2022-04-29       Impact factor: 5.560

9.  An Update on Severe Acute Respiratory Syndrome Coronavirus 2 Diversity in the US National Capital Region: Evolution of Novel and Variants of Concern.

Authors:  C Paul Morris; Chun Huai Luo; Adannaya Amadi; Matthew Schwartz; Nicholas Gallagher; Stuart C Ray; Andrew Pekosz; Heba H Mostafa
Journal:  Clin Infect Dis       Date:  2022-04-28       Impact factor: 20.999

Review 10.  Mutations and Evolution of the SARS-CoV-2 Spike Protein.

Authors:  Nicholas Magazine; Tianyi Zhang; Yingying Wu; Michael C McGee; Gianluca Veggiani; Weishan Huang
Journal:  Viruses       Date:  2022-03-19       Impact factor: 5.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.