Detection of emerging SARS-CoV-2 variant in New York

NewsGuard 100/100 Score

Researchers at the California Institute of Technology in Pasadena have developed a software tool called "Variant Database" that has detected an emerging lineage of severe acute respiratory coronavirus 2 (SARS-CoV-2) isolates in New York.

The novel SARS-CoV-2 virus is the agent responsible for the coronavirus disease 2019 (COVID-19) pandemic that continues to sweep the globe and has now caused more than 2.41 million deaths.

The Variant Database (VBD) tool can be used to quickly assess the rapidly changing mutational landscape of the viral spike protein that SARS-CoV-2 uses to bind to and infect host cells.

The team says the pattern of mutations in the emerging lineage (now designated B.1.526) suggests that it arose partly in response to selective pressure from antibodies.

"This lineage appeared in late November 2020, and isolates from this lineage account for around 5% of coronavirus genomes sequenced and deposited from New York during late January 2021," writes the team.

Anthony West and colleagues say that based on the collection dates of isolates from this lineage, it appears that they are now increasing in frequency.

A pre-print version of the research paper is available on the bioRxiv* server, while the article undergoes peer review.

Structural locations of the spike mutations of lineage B.1.526.
a, Side and top views of the SARS-CoV-2 spike trimer (PDB 7JJI) with mutations of lineage B.1.526 shown as spheres. b-g, Models of representative neutralizing antibodies (cartoon, VH-VL domain only) bound to RBD (b-f, gray surface) or NTD (g, wheat surface). Sites for B.1.526 lineage mutations are shown as red spheres. The S477N site is also shown for the branch containing this mutation instead of the E484K mutation (see Figure 1); b, Class 1 (PDB 7K8M); c, Class 2 (PDB 7K8S); d, Class 3 (PDB 7K8Z); e, Class 4 (PDB 6W41); f, Class 5 (Wang et al., 2021); g, NTD-specific antibody 4A8 (PDB 7C2L).

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

The variants that have emerged since early stages of the pandemic

Following the early months of the COVID-19 pandemic, the vast majority of SARS-CoV-2 isolates were found to contain the spike mutation D614G.

Several other variants emerged during the fall of 2020, containing numerous mutations that seemed to be focused on the spike protein.

"Multiple lines of evidence support escape from antibody selective pressure as a driving force for the development of these variants," says West and colleagues.

As concerns grow about the effects these mutations could have on the efficacy of antibody therapies and vaccines developed to protect against COVID-19, wide-scale genomic surveillance has been implemented to help researchers monitor and understand the evolution of SARS-CoV-2.

However, "analysis of this wealth of genomic sequences requires a variety of bioinformatics techniques," say the researchers.

The VDB software tool

The VDB software tool created by West and colleagues enables rapid analysis of the changing mutational landscape within the SARS-CoV-2 spike protein.

The tool consists of one program that examines the pattern of spike mutation in a collection of sequenced isolates and another program that generates a list of spike mutations from a multiple sequence alignment. The tool implements a mutation pattern query language that generates a collection of isolates (a "cluster") and a group of spike mutations (a "pattern").

"Generally, clusters can be obtained from searches for patterns, and patterns can be found by examining a given cluster," says West and colleagues.

Clusters can be filtered by variables such as geographical location, collection date, the number of mutations or the presence or absence of a mutation pattern.

What did the authors find?

The team detected an emerging lineage of viral isolates in the New York region that shares mutations with previously reported variants. Several clusters of isolates were detected that had mutations at sites in the spike protein known to be associated with resistance to antibodies against SARS-CoV-2.

The lineage (now designated as B.1.526) comprises two main branches: one including the mutation E484K and another including the mutation S477N, both of which are located within the receptor-binding domain of the spike protein.

What is known so far about these mutations?

Research has previously shown that E484K disrupts the neutralization of numerous anti-SARS-CoV-2 antibodies. The mutation has been identified in variant B.1.351 that recently emerged in South Africa and in the B.1.1.248 variant recently identified in Brazil.

The S477N mutation, which has been identified in several earlier variants, lies near the binding site of multiple antibodies. It has been shown to increase viral infectivity by enhancing the binding of the spike protein to its host cell receptor angiotensin-converting enzyme 2 (ACE2).

"The overall pattern of mutations in this cluster suggests that it arose in part in response to selective pressure from antibodies," writes the researchers.

This B.1.526 variant emerged in late November 2020 and based on the collection dates of isolates from this lineage, it appears that they are now increasing in frequency, concludes West and the team.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • Apr 5 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Sally Robertson

Written by

Sally Robertson

Sally first developed an interest in medical communications when she took on the role of Journal Development Editor for BioMed Central (BMC), after having graduated with a degree in biomedical science from Greenwich University.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Robertson, Sally. (2023, April 05). Detection of emerging SARS-CoV-2 variant in New York. News-Medical. Retrieved on April 25, 2024 from https://www.news-medical.net/news/20210216/Detection-of-emerging-SARS-CoV-2-variant-in-New-York.aspx.

  • MLA

    Robertson, Sally. "Detection of emerging SARS-CoV-2 variant in New York". News-Medical. 25 April 2024. <https://www.news-medical.net/news/20210216/Detection-of-emerging-SARS-CoV-2-variant-in-New-York.aspx>.

  • Chicago

    Robertson, Sally. "Detection of emerging SARS-CoV-2 variant in New York". News-Medical. https://www.news-medical.net/news/20210216/Detection-of-emerging-SARS-CoV-2-variant-in-New-York.aspx. (accessed April 25, 2024).

  • Harvard

    Robertson, Sally. 2023. Detection of emerging SARS-CoV-2 variant in New York. News-Medical, viewed 25 April 2024, https://www.news-medical.net/news/20210216/Detection-of-emerging-SARS-CoV-2-variant-in-New-York.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study reveals how SARS-CoV-2 hijacks lung cells to drive COVID-19 severity