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Evolution, correlation, structural impact and dynamics of emerging SARS-CoV-2 variants.

ABSTRACT: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infections remain unmanageable in some parts of the world. As with other RNA viruses, mutations in the SARS-CoV-2 gene have been continuously evolving. Recently, four variants have been identified, B.1.1.7, B.1.351, P.1 and CAL.20C. These variants appear to be more infectious and transmissible than the original Wuhan-Hu-1 virus. Using a combination of bioinformatics and structural analyses, we show that the new SARS-CoV-2 variants emerged in the background of an already known Spike protein mutation D614G together with another mutation P323L in the RNA polymerase of SARS-CoV-2. The phylogenetic analysis showed that the CAL.20C and B.1.351 shared one common ancestor, whereas the B.1.1.7 and P.1 shared a different ancestor. Structural comparisons did not show any significant difference between the wild-type and mutant ACE2/Spike complexes. Structural analysis indicated that the N501Y mutation may increase hydrophobic interactions at the ACE2/Spike interface. However, reported greater binding affinity of N501Y Spike with ACE2 does not seem to be entirely due to increased hydrophobic interactions, given that Spike mutation R417T in P.1 or K417N in B.1.351 results in the loss of a salt-bridge interaction between ACE2 and S-RBD. The calculated change in free energy did not provide a clear trend of S protein stability of mutations in the variants. As expected, we show that the CAL.20C generally migrated from the west coast to the east coast of the USA. Taken together, the analyses suggest that the evolution of variants and their infectivity is complex and may depend upon many factors.

SUBMITTER: Spratt AN

PROVIDER: S-EPMC8225291 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has killed over 6 million people and is having a devastating social and economic impact around the world. The rise of new variants of concern (VOCs) represents a difficult challenge due to the loss of vaccine and natural immunity, as well as increased transmissibility. All VOCs contain mutations in the spike glycoprotein, which mediates fusion between the viral and host cell membranes. The spike glycoprotein binds to angiotensin-converting enzyme 2 (ACE2) via its receptor binding domain (RBD) initiating the infection process. Attempting to understand the effect of RBD mutations in VOCs, a lot of attention has been given to the RBD-ACE2 interaction. However, this type of analysis ignores more indirect effects, such as the conformational dynamics of the RBD itself. Observing that some mutations occur in residues that are not in direct contact with ACE2, we hypothesized that they could affect the RBD conformational dynamics. To test this, we performed long atomistic (AA) molecular dynamics (MD) simulations to investigate the structural dynamics of wt RBD, and that of four VOCs (Alpha, Beta, Delta, and Omicron). Our results show that the wt RBD presents two distinct conformations: an "open" conformation where it is free to bind ACE2; and a "closed" conformation, where the RBM ridge blocks the binding surface. The Alpha and Beta variants shift the open/closed equilibrium towards the open conformation by roughly 20%, likely increasing ACE2 binding affinity. Simulations of the Delta and Omicron variants showed extreme results, with the closed conformation being rarely observed. The Delta variant also differed substantially from the other variants, alternating between the open conformation and an alternative "reversed" one, with a significantly changed orientation of the RBM ridge. This alternate conformation could provide a fitness advantage due to increased availability for ACE2 binding, and by aiding antibody escape through epitope occlusion. These results support the hypothesis that VOCs, and particularly the Omicron and Delta variants, impact RBD conformational dynamics in a direction that promotes efficient binding to ACE2 and, in the case of Delta, may assist antibody escape.

Project description:With the progression of the global SARS-CoV-2 pandemic, the new variants have become more infectious and continue spreading at a higher rate than pre-existing ones. Thus, we conducted a study to explore the epidemiology of emerging variants of SARS-CoV-2 that circulated in Bangladesh from December 2020 to September 2021, representing the 2nd and 3rd waves. We collected new cases and deaths per million daily data with the reproduction rate. We retrieved 928 SARS-CoV-2 sequences from GISAID and performed phylogenetic tree construction and mutation analysis. Case counts were lower initially at the end of 2020, during January-February and April-May 2021, whereas the death toll reached the highest value of 1.587 per million on the first week of August and then started to decline. All the variants (α, β, δ, η) were prevalent in the capital city, Dhaka, with dispersion to large cities, such as Sylhet and Chattogram. The B.1.1.25 lineage was prevalent during December 2020, but the B.1.617.2/δ variant was later followed by the B.1.351/β variant. The phylogeny revealed that the various strains found in Bangladesh could be from numerous countries. The intra-cluster and inter-cluster communication began in Bangladesh soon after the virus arrived. The prominent amino acid substitution was D614G from December 2020 to July 2021 (93.5 to 100%). From February-April, one of the VOC's important mutations, N501Y substitution, was also estimated at 51.8%, 76.1%, and 65.1% for the α, β and γ variants, respectively. The γ variant's unique mutation K417T was detected only at 1.8% in February. Another frequent mutation was P681R, a salient feature of the δ variant, detected in June (88.2%) and July (100%). Furthermore, only one γ variant was detected during the entire second and third wave, whereas no η variant was observed in this period. This rapid growth in the number of variants identified across Bangladesh shows virus adaptation and a lack of strict quarantine, prompting periodic genomic surveillance to foresee the spread of new variants, if any, and to take preventive measures as soon as possible.

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Evolution, correlation, structural impact and dynamics of emerging SARS-CoV-2 variants.

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