Conserved Genomic Terminals of SARS-CoV-2 as Coevolving Functional Elements and Potential Therapeutic Targets
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Updated: Nov 28, 2025

Visualization of SARS-CoV-2 using Immuno RNA-Fluorescence In Situ Hybridization
Published on: December 23, 2020
Agnes P Chan1, Yongwook Choi1, Nicholas J Schork2,3,4
1The Translational Genomics Research Institute (TGen), Phoenix, Arizona, USA.
Abstract:
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over 40 million people worldwide, with over 1 million deaths as of October 2020 and with multiple efforts in the development and testing of antiviral drugs and vaccines under way. In order to gain insights into SARS-CoV-2 evolution and drug targets, we investigated how and to what extent the SARS-CoV-2 genome sequence differs from those of other well-characterized human and animal coronavirus genomes, as well as how polymorphic SARS-CoV-2 genomes are generally. We ultimately sought to identify features in the SARS-CoV-2 genome that may contribute to its viral replication, host pathogenicity, and vulnerabilities. Our analyses suggest the presence of unique sequence signatures in the 3' untranslated region (3'-UTR) of betacoronavirus lineage B, which phylogenetically encompasses SARS-CoV-2 and SARS-CoV as well as multiple groups of bat and animal coronaviruses. In addition, we identified genome-wide patterns of variation across different SARS-CoV-2 strains that likely reflect the effects of selection. Finally, we provide evidence for a possible host-microRNA-mediated interaction between the 3'-UTR and human microRNA hsa-miR-1307-3p based on the results of multiple computational target prediction analyses and an assessment of similar interactions involving the influenza A H1N1 virus. This interaction also suggests a possible survival mechanism, whereby a mutation in the SARS-CoV-2 3'-UTR leads to a weakened host immune response. The potential roles of host microRNAs in SARS-CoV-2 replication and infection and the exploitation of conserved features in the 3'-UTR as therapeutic targets warrant further investigation.IMPORTANCE The coronavirus disease 2019 (COVID-19) outbreak is having a dramatic global effect on public health and the economy. As of October 2020, SARS-CoV-2 has been detected in over 189 countries, has infected over 40 million people, and is responsible for more than 1 million deaths. The genome of SARS-CoV-2 is small but complex, and its functions and interactions with human host factors are being studied extensively. The significance of our study is that, using extensive SARS-CoV-2 genome analysis techniques, we identified potential interacting human host microRNA targets that share similarity with those of influenza A virus H1N1. Our study results will allow the development of virus-host interaction models that will enhance our understanding of SARS-CoV-2 pathogenesis and motivate the exploitation of both the interacting viral and host factors as therapeutic targets.
Insights
This study compares the SARS-CoV-2 genome to other coronaviruses, revealing unique sequence signatures and potential microRNA interactions. Findings suggest therapeutic targets for COVID-19 by understanding virus-host interactions.
Area of Science:
- Virology
- Genomics
- Molecular Biology
Background:
- The COVID-19 pandemic, caused by SARS-CoV-2, has led to millions of deaths globally.
- Understanding SARS-CoV-2 genome evolution and host interactions is crucial for developing effective treatments and vaccines.
- Comparative genomic analysis is essential to identify unique viral features and potential vulnerabilities.
Purpose of the Study:
- To investigate SARS-CoV-2 genome sequence differences compared to other human and animal coronaviruses.
- To identify polymorphic patterns within SARS-CoV-2 strains and their evolutionary implications.
- To explore potential host-microRNA interactions and their role in viral replication and pathogenicity.
Main Methods:
- Comparative genomic sequence analysis of SARS-CoV-2 against diverse coronavirus genomes.
- Identification of sequence signatures, particularly in the 3' untranslated region (3'-UTR).
- Computational target prediction analyses to identify host microRNA interactions, including comparisons with influenza A H1N1.
Main Results:
- Unique sequence signatures were identified in the 3'-UTR of betacoronavirus lineage B, including SARS-CoV-2.
- Genome-wide variation patterns across SARS-CoV-2 strains suggest the influence of selection.
- Evidence supports a potential host-microRNA interaction (hsa-miR-1307-3p) in the SARS-CoV-2 3'-UTR, possibly weakening the host immune response.
Conclusions:
- The SARS-CoV-2 3'-UTR possesses unique features and interacts with host microRNAs, offering potential therapeutic targets.
- Understanding these virus-host interactions is key to developing novel strategies against COVID-19.
- Further research into microRNA roles and conserved 3'-UTR features is warranted for therapeutic exploitation.
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