Virus Genome Discovery
Virus Genome Discovery - Related Videos
08:31
Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'
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Cited by 2 •
2013
Single Virus Genomics (SVG) is a method to isolate and amplify the genomes of single virons. Viral suspensions of a mixed assemblage are sorted using flow cytometry onto a microscope slide with discrete wells containing agarose, thereby capturing the virion and reducing genome shearing during downstream processing. Whole genome amplification is achieved using multiple displacement amplification (MDA) resulting in genomic material that is suitable for sequencing.
09:40
Novel Sequence Discovery by Subtractive Genomics
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Cited by 8 •
2019
The purpose of this protocol is to use a combination of computational and bench research to find novel sequences that cannot be easily separated from a co-purifying sequence, which may be only partially known.
02:56
Fluorescence-Based Sorting of Individual Virus Particles for Genomic Analysis
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2026
Source: Zeigler Allen, L., et al. Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'. J. Vis. Exp. (2013).This video demonstrates how flow cytometry enables the isolation of individual, genome-containing viruses from mixed populations through fluorescence-based detection and precise particle sorting, followed by agarose embedding for subsequent genomic characterization.
01:29
Viruses with RNA Genomes
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2025
RNA viruses are categorized into positive-strand, negative-strand, or double-stranded groups based on their genomic structure and replication mechanisms. This classification dictates how they exploit host cellular machinery for protein synthesis and replication. Some RNA viruses also utilize reverse transcription as part of their life cycle, further diversifying their replication strategies.Positive-Strand RNA VirusesPositive-strand RNA viruses have genomes that function directly as messenger...
08:56
Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes
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2018
Here we present a new approach to identify plant viruses with double-strand DNA genomes. We use standard methods to extract DNA and RNA from infected leaves and carry out next-generation sequencing. Bioinformatic tools assemble sequences into contigs, identify contigs representing virus genomes and assign genomes to taxonomic groups.
FAQs
After viral nucleic acids are sequenced, the resulting reads must be assembled into longer sequences that represent the genome. Researchers then annotate those sequences, assigning biological meaning to identified regions, and compare them with reference databases. These stages convert raw sequence data into interpretable evidence about viral identity, diversity, and evolutionary relationships.
Genetic changes matter because they may alter host range, immune recognition, or drug sensitivity. A sequence comparison can therefore do more than distinguish related viruses: it can highlight differences with potential consequences for which hosts are infected, how the immune system detects the virus, or how well a drug may work. These interpretations connect genome variation to infection biology.
Reference databases provide a comparison framework for newly assembled sequences. Matching or contrasting a discovered genome with existing entries helps researchers assess viral identity and diversity and place new findings in the context of known viruses. This step is especially important when investigating emerging pathogens, because comparison supports monitoring viral changes and spread.
Work begins with viral nucleic-acid extraction from a clinical or environmental sample. Researchers then amplify or sequence the material, assemble the resulting reads, annotate the genome, and compare it with reference databases. Keeping these stages distinct helps separate sample preparation, sequence generation, computational reconstruction, and biological interpretation within a discovery workflow.
It is useful when researchers need to investigate viral diversity, follow transmission, or monitor emerging and spreading pathogens. Comparing genomes from different samples can support surveillance by showing how viral sequences are related and by identifying genetic changes over time. The resulting information helps guide surveillance strategies and provides a genomic basis for studying pathogen spread.
In immunology and infection research, viral genome information links sequence variation with questions about host interaction and medical response. Researchers can examine changes that may affect immune recognition, host range, or drug sensitivity, while broader genome data support diagnostic tests and vaccine development. This makes genome discovery useful for understanding infection and designing ways to detect or respond to it.