World's most sophisticated COVID-19 sequencing system

The coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is far from over as countries report surging cases, including those caused by emerging variants. To date, there are over 195 million cases across the globe, with more than 4.18 million deaths.

In response to the ongoing SARS-CoV-2 infections in the United Kingdom, the COVID-19 Genomics UK (COG-UK) consortium was formed to rapidly sequence SARS-CoV-2 genomes as part of a national-scale genomic surveillance strategy.

Image Credit: Marina Litvinova / Shutterstock
Image Credit: Marina Litvinova / Shutterstock

The new bioinformatics software and cloud computing approach developed at the University of Birmingham has been tagged as the world's most sophisticated COVID-19 sequencing system. Called CLIMB-COVID, the sequencing tool was designed to handle the enormous challenge of sequencing SARS-CoV-2 genomes.

In a new research paper, published in the journal Genome Biology, the scientists discussed the development and deployment of CLIMB-COVID, an encompassing digital structure to address the challenge of collecting and integrating both genomic sequencing data and sample-associated metadata produced across the COG-UK network. This includes a network of universities, regional sequencing centers, academic institutions, and the four UK Public Health Agencies.

"Building this kind of decentralized sequencing system has not been possible before now because the software infrastructure has not been available. By designing that system, we have shown how genetic sequencing can be used as a vital tool in any public health response," Dr. Samuel Nicholls, lead author on the paper, said.

The CLIMB-COVID

The first version of CLIMB-COVID was developed by a team of scientists at the University of Birmingham and Cardiff University in under a month. It helped process the sequencing data of more than 675,000 coronavirus genomes, including detecting and tracking the Alpha and Delta variants.

The model has three core functions. First, it produces data by connecting a network of regional sequencing sites to a network of sampling organizations to establish a network for SARS-CoV-2 genome sequencing.

Next, the model collects data by providing a system to transfer sequencing data, consensus genomes, and sample metadata. Lastly, it aims to integrate data into a single dataset by combining the collected sequences and metadata.

The new platform works by distributing a democratized network for SARS-CoV-2 genome sequencing, providing a unified interface for transferring, storing, and sharing sequences.

The cloud infrastructure also provides the computing and storage capacity needed to study and analyze the large genome datasets produced by the consortium, as well as assisting national and international research needs.

This means that health officials and other members of the COVID-19 response team can monitor genome sequences, finding potential mutations and emergence of variants.

"Establishing the principle of automated and rapid data sharing early on in pandemic response has meant that the UK has become a reliable source of surveillance data and relied upon by other countries to track SARS-CoV-2 lineage dynamics," the researchers explained.

Surveillance of genome sequences

Scientists must conduct genome sequence surveillance to monitor the emergence of new variants. These variants can affect vaccination efforts across the globe, as some can evade the protection against COVID-19 from natural infection or vaccination.

To date, the COG-UK has produced more than 550,000 public sequences, contributed more than 20 reports to the government, and has 50 academic publications. It has also supported hundreds of outbreak investigations across the U.K.

"The CLIMB-COVID system is open source. That means anyone in the world can access our computer code and all genomic data and can see how we work," Dr. Nicholls said. As a result, scientists believe this is the world's most sophisticated COVid-19 sequencing system.

"We have never seen such a coordinated, sustained effort to generate real-time genomic surveillance data at this scale and pace and this is why the UK is world-leading in the genomic sequencing of SARS-CoV-2," he added.

Journal reference:
Angela Betsaida B. Laguipo

Written by

Angela Betsaida B. Laguipo

Angela is a nurse by profession and a writer by heart. She graduated with honors (Cum Laude) for her Bachelor of Nursing degree at the University of Baguio, Philippines. She is currently completing her Master's Degree where she specialized in Maternal and Child Nursing and worked as a clinical instructor and educator in the School of Nursing at the University of Baguio.

Citations

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

  • APA

    Laguipo, Angela. (2021, July 29). World's most sophisticated COVID-19 sequencing system. News-Medical. Retrieved on December 25, 2024 from https://www.news-medical.net/news/20210729/Worlds-most-sophisticated-COVID-19-sequencing-system.aspx.

  • MLA

    Laguipo, Angela. "World's most sophisticated COVID-19 sequencing system". News-Medical. 25 December 2024. <https://www.news-medical.net/news/20210729/Worlds-most-sophisticated-COVID-19-sequencing-system.aspx>.

  • Chicago

    Laguipo, Angela. "World's most sophisticated COVID-19 sequencing system". News-Medical. https://www.news-medical.net/news/20210729/Worlds-most-sophisticated-COVID-19-sequencing-system.aspx. (accessed December 25, 2024).

  • Harvard

    Laguipo, Angela. 2021. World's most sophisticated COVID-19 sequencing system. News-Medical, viewed 25 December 2024, https://www.news-medical.net/news/20210729/Worlds-most-sophisticated-COVID-19-sequencing-system.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 finds nirmatrelvir-ritonavir reduces severe COVID-19 and long COVID risks in high-risk patients