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Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

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Viral genomes exhibit remarkable diversity in size, structure, and composition, influencing their replication strategies and interactions with host cells. These genomes consist of either DNA or RNA and may be linear or circular. Additionally, they can be single-stranded or double-stranded, with each configuration affecting how the virus propagates within a host. RNA viruses, for instance, generally have smaller genomes than DNA viruses, a factor that contributes to their high mutation rates and...
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Viruses with RNA Genomes01:29

Viruses with RNA Genomes

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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...
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Viral Recombination00:57

Viral Recombination

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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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Viral Mutations00:36

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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Viral Structure00:56

Viral Structure

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Viruses are extraordinarily diverse in shape and size, but they all have several structural features in common. All viruses have a core that contains a DNA- or RNA-based genome. The core is surrounded by a protective coat of proteins called the capsid. The capsid is composed of subunits called capsomeres. The capsid and genome-containing core are together known as the nucleocapsid.
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Retroviruses02:33

Retroviruses

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Retroviruses and retrotransposons both insert copies of their genetic elements into the genome of the host cell. Thus, the viral genes are passed on when the host genome is replicated or translated. A typical retroviral DNA sequence contains 3-4 genes that encode the different proteins required for its structural assembly and function as a molecular parasite. This DNA is transcribed into a single mRNA, which is very similar in structure to conventional mRNAs, i.e., it is capped at the 5’...
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Video Experimental Relacionado

Updated: Jan 8, 2026

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

Published on: May 26, 2013

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vir2vec: Una incrustación genómica viral

Simone Rancati, Pablo Arozarena Donelli, Giovanna Nicora

    bioRxiv : the preprint server for biology
    |December 22, 2025
    PubMed
    Resumen
    Este resumen es generado por máquina.

    Desarrollamos vir2vec, un modelo de lenguaje genómico grande entrenado en diversos genomas virales, y vGUE, un punto de referencia para evaluar la comprensión del genoma viral. vir2vec mejora significativamente las tareas de clasificación viral, avanzando en la vigilancia y el descubrimiento genómicos.

    Palabras clave:
    vir2vecvGUEgenomic language modelviral genomesviral classificationgenomic surveillancegenomic discovery

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    Sus antecedentes:

    • Los modelos de lenguaje genómicos (gLM) muestran promesa para el análisis de ADN, pero carecen de arquitecturas y puntos de referencia virales específicos.
    • Los modelos existentes a menudo se centran en el ADN humano o en conjuntos de datos virales limitados.
    • Se necesita un marco de evaluación integral para el aprendizaje de representaciones del genoma viral.

    Conclusiones:

    • vir2vec y vGUE establecen una base sólida para la modelización, vigilancia y descubrimiento genómicos virales.
    • Las herramientas desarrolladas ofrecen capacidades mejoradas para comprender la diversidad y la evolución viral.
    • El despliegue responsable de vir2vec requiere consideraciones éticas y supervisión de la gobernanza debido a sus posibles implicaciones de doble uso.