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Related Concept Videos

Viral Recombination00:57

Viral Recombination

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.
Viral Mutations00:36

Viral Mutations

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 for adaptive...
Size and Structure of Viral Genomes01:26

Size and Structure of Viral Genomes

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...
Inhibitors of Virion Maturation and Assembly01:19

Inhibitors of Virion Maturation and Assembly

As part of their replication cycle, certain viruses synthesize long precursor proteins called polyproteins within infected host cells. In human immunodeficiency virus (HIV), two major polyproteins are produced: Gag and Gag-Pol. The Gag polyprotein supplies the structural components of the virus, while Gag-Pol includes essential viral enzymes such as reverse transcriptase, integrase, and protease. After synthesis, these polyproteins move to the host cell membrane, where they assemble into an...
Epistasis01:39

Epistasis

In addition to multiple alleles at the same locus influencing traits, numerous genes or alleles at different locations may interact and influence phenotypes in a phenomenon called epistasis. For example, rabbit fur can be black or brown depending on whether the animal is homozygous dominant or heterozygous at a TYRP1 locus. However, if the rabbit is also homozygous recessive at a locus on the tyrosinase gene (TYR), it will have an unshaded coat that appears white, regardless of its TYRP1...
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Viruses with RNA Genomes

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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Complementation and epistasis in viral coinfection dynamics.

Hong Gao1, Marcus W Feldman

  • 1Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.

Genetics
|March 10, 2009
PubMed
Summary

Coinfection in RNA viruses, through complementation, can hinder the removal of harmful mutations. However, this phenomenon also boosts viral diversity and robustness, especially when interacting with mutation, selection, and epistasis.

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Area of Science:

  • Virology
  • Evolutionary Biology
  • Genetics

Background:

  • Coinfection is common in RNA virus populations, leading to complementation and recombination.
  • Complementation significantly impacts the selection against deleterious mutations, potentially delaying their removal.
  • This delay suggests coinfection might negatively affect viral population evolution.

Purpose of the Study:

  • To investigate the interplay between complementation and other evolutionary factors (mutation, selection, epistasis) in RNA virus populations.
  • To understand the mechanisms driving these interactions.
  • To assess the net effect of complementation on viral population fitness, diversity, and robustness.

Main Methods:

  • Deterministic modeling of viral population dynamics.
  • Stochastic simulations to account for random effects.
  • Analysis of interactions between complementation, mutation, selection, and epistasis.

Main Results:

  • Strong complementation slightly reduces the overall fitness of RNA virus populations.
  • Complementation substantially enhances viral population diversity.
  • Complementation significantly improves viral population robustness, particularly when combined with selection and epistasis.

Conclusions:

  • While complementation may slightly decrease viral fitness, its positive effects on diversity and robustness are significant.
  • The interaction between complementation and evolutionary factors like selection and epistasis is crucial for understanding viral evolution.
  • Coinfection, via complementation, plays a complex role in shaping RNA virus population dynamics.