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Viral Mutations

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...

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Related Experiment Video

Updated: May 22, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

Viral Network Analyzer (VirNA): A Novel Minimum Spanning Networks Algorithm for Investigating Viral Evolution.

Giorgia Mazzotti¹, Luca Bianco², Enrico Lavezzo¹

¹Department of Molecular Medicine, University of Padua, 35131 Padua, Italy.

International Journal of Molecular Sciences

|March 13, 2025

Summary

VirNA (Viral Network Analyzer) enhances public health surveillance by analyzing thousands of viral genomes to reveal detailed mutation patterns and evolutionary routes, crucial for tracking pathogen spread and variants.

Keywords:

evolution minimum spanning networks viruses

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Last Updated: May 22, 2025

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

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Published on: June 16, 2011

Method for Measurement of Viral Fusion Kinetics at the Single Particle Level

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Published on: September 7, 2009

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'

Published on: May 26, 2013

Area of Science:

Genomics
Epidemiology
Bioinformatics

Background:

Next Generation Sequencing (NGS) is vital for tracking pathogen evolution and spread.
Large-scale viral genome sequencing during pandemics reveals limitations in traditional phylogenetic algorithms for highly similar sequences.
Accurate tracking of pathogen evolution requires advanced analytical tools for large datasets.

Purpose of the Study:

To introduce VirNA (Viral Network Analyzer), a novel tool for analyzing large-scale viral genomic data.
To reconstruct detailed mutation patterns and evolutionary routes of pathogens.
To enhance public health surveillance capabilities for emerging infectious diseases.

Main Methods:

Utilizes Minimum Spanning Networks to reconstruct pathogen evolutionary pathways.
Analyzes thousands of genomic sequences, representing nodes linked to metadata.
Edges in the network represent potential evolutionary pathways between sequences.

Main Results:

VirNA effectively reconstructs detailed mutation patterns from large, high-quality genomic datasets.
The tool traces pathogen evolutionary routes within specific geographical regions.
Identifies rapid pathogen evolution over short time scales.

Conclusions:

VirNA provides detailed insights into pathogen evolution, overcoming limitations of traditional phylogenetic methods.
The tool is powerful for analyzing large datasets in public health surveillance.
VirNA has significant potential applications in pandemic preparedness and response.