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Research identifies Covid-19 RNA variations and their implicationsThe scientists have also studied the fixation of these intra-host variations into extra-host variations and mutations that lead to variants
Mrityunjay Bose
DHNS
Last Updated IST
Representative Image. Credit: iStock Photo
Representative Image. Credit: iStock Photo

A multi-institutional team has used state-of-the-art genomic sequencing methods to identify variations in the RNA of the Covid-19 virus and their implications.

The scientists have also studied the fixation of these intra-host variations into extra-host variations and mutations that lead to variants. The results of the two-phase study have been published in the journal, Nucleic Acid Research.

The multi-institutional team, led by Dr Mitali Mukerji, Professor and Head, Department of Bioscience & Bioengineering, IIT Jodhpur and Dr. Sunil Raghav, Scientist F, Institute of Life Sciences, Bhubaneswar, plans to combine iSNV identification protocols with whole-genome sequencing in the future to enable more accurate models for viral epidemiology.

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An important distinction of this research study is that it was conducted primarily by a team of computational graduates from across distant locations, proving that the pandemic has generated novel cooperation, sharing, and resource-sharing modes for innovative research.

The RNA structure of the Covid-19 virus frequently undergoes minor modifications within the host cells (‘intra-host variations’). These modifications occur at the nucleotide level - nucleotide being the building block of the RNA molecule.

Many of these intra-host variations are caused by enzymes present in the host cell as an immune response. Thus, many of these variations are harmless or even destructive to the virus itself. However, some variations can enhance the survivability of the virus, and become fixed as extra-host variations that could potentially lead to variants-of-concern.

The research team studied intra-host Single Nucleotide Variations (iSNV) using a sequencing platform called Illumina.

During Phase 1 of the project in 2020, scientists analysed the RNA structure of virus samples collected from China, Germany, Malaysia, the United Kingdom, the United States, and different subpopulations of India to map the iSNV across the RNA structure of the virus.

The team includes Ankit Pathak, who is B.Tech in computational sciences and Gyan Prakash Mishra who is Masters in pharmaco-informatics.

“One of the most important aspects to manage the Covid-19 pandemic is to unravel the genetic structure of the virus and pick up early warning signatures,” said Dr Mukherji.

The team has observed similar patterns across populations and waves of the pandemic. It also tracked the iSNVs over time to see if the variants produced inside the host cells can persist outside, thereby becoming fixed as SNVs. They found that by 30 June 2021 about 80% of the iSNV sites they had identified in 2020 became fixed as SNVs. The conversion of iSNVs to SNVs was substantiated in Phase 2 studies that showed iSNVs were found in most of the Delta and Kappa variants before their fixation as SNVs by February 2021.

“The evolution of SNVs from iSNVs can affect vaccine response by altering the antibody generation in infected individuals,” says Dr. Mukerji, on the implications of their findings. The identification of iSNVs can also help in the identification of key sites in the viral RNA that are important for its survival and spread.

The research was initiated at the Council of Scientific and Industrial Research-Institute of Genomics and Integrative Biology (CSIR – IGIB, (Delhi), and was led by IIT Jodhpur and Institute of Life Sciences (Bhubaneswar). Other collaborating institutes are the Academy of Scientific and Innovative Research (Ghaziabad), Council of Scientific and Industrial Research – Center for Cellular and Molecular Biology (CSIR-CCMB), (Hyderabad), and National Center for Disease Control (NCDC), (New Delhi).

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(Published 10 February 2022, 17:10 IST)