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04:52
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
Published on: February 3, 2023
Evolution of viral genomes: interplay between selection, recombination, and other forces
Sergei L Kosakovsky Pond1, Ben Murrell, Art F Y Poon
1Department of Medicine, University of California, San Diego, CA, USA. spond@ucsd.edu
Methods in Molecular Biology (Clifton, N.J.)
|March 9, 2012
Summary
Rapidly evolving RNA viruses face immune and drug pressures. Comparative genomic analysis reveals evolutionary insights into adaptation, immune evasion, and drug resistance mechanisms.
Area of Science:
- * Evolutionary virology
- * Molecular evolution
- * Bioinformatics
Background:
- * RNA viruses exhibit rapid evolution, recombination, and are shaped by host immunity and antiretroviral drugs.
- * Their compact genomes facilitate comparative analysis for understanding adaptation and pathogenicity.
- * Key areas of interest include immune evasion and the development of drug resistance.
Purpose of the Study:
- * To provide an overview of advanced evolutionary models and statistical methods for RNA virus analysis.
- * To demonstrate techniques for detecting adaptive evolutionary changes in viral sequences.
- * To highlight methods for identifying coevolving sites within viral genes.
Main Methods:
- * Comparative analysis of RNA viral sequence alignments.
- * Application of evolutionary models to detect adaptive evolution.
- * Statistical approaches for identifying recombination and directional selection.
- * Methods for detecting coevolving sites in viral genes.
Main Results:
- * Identification of evidence for adaptive change in viral alignments, even with recombination.
- * Detection of bursts of directional adaptive evolution linked to phenotypic shifts.
- * Pinpointing of coevolving sites within viral genes, suggesting functional interactions.
Conclusions:
- * Advanced evolutionary models and statistical methods are crucial for dissecting RNA virus evolution.
- * These approaches enhance understanding of viral adaptation, pathogenicity, and resistance.
- * The methods presented offer powerful tools for analyzing complex viral genomic data.
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