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Related Experiment Video

Updated: Jul 14, 2026

A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses
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A Restriction Enzyme Based Cloning Method to Assess the In vitro Replication Capacity of HIV-1 Subtype C Gag-MJ4 Chimeric Viruses

Published on: August 31, 2014

HIV-specific probabilistic models of protein evolution.

David C Nickle1, Laura Heath, Mark A Jensen

  • 1Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, United States of America.

Plos One
|June 7, 2007
PubMed
Summary

Researchers developed new evolutionary models for Human Immunodeficiency Virus (HIV-1) sequence analysis. These models improve accuracy in understanding viral evolution and relationships, outperforming existing methods for HIV-1 data.

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Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses
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11:19

Pairwise Growth Competition Assay for Determining the Replication Fitness of Human Immunodeficiency Viruses

Published on: May 4, 2015

Area of Science:

  • Bioinformatics
  • Evolutionary Biology
  • Virology

Background:

  • Comparative sequence analyses are crucial for understanding Human Immunodeficiency Virus type 1 (HIV-1) evolution.
  • Existing evolutionary models, often derived from mammalian genomes, may not accurately represent HIV-1's unique evolutionary dynamics.
  • The choice of evolutionary model significantly impacts the accuracy of phylogenetic inference and sequence analysis.

Purpose of the Study:

  • To develop and validate novel empirical substitution models tailored for HIV-1 genome evolution.
  • To assess the generalizability of existing evolutionary models to HIV-1 and identify potential biases.
  • To create accurate scoring matrices for HIV-1 sequence alignment and similarity searching.

Main Methods:

  • Developed a maximum likelihood model fitting procedure using HIV-1 alignments from various viral genes.
  • Inferred two empirical substitution models for between- and within-host HIV-1 evolution.
  • Benchmarked the performance of the new models against existing ones using independent HIV-1 alignments.

Main Results:

  • The inferred HIV-1 substitution models demonstrated a superior fit compared to existing and data-driven models.
  • Unique evolutionary biases in amino-acid substitution specific to HIV-1 were identified.
  • Scoring matrices derived from the new models differed significantly from common matrices and improved phylogenetic accuracy.

Conclusions:

  • The developed models and procedure accurately capture HIV-1-specific evolutionary patterns.
  • Using appropriate evolutionary models is critical for reliable phylogenetic analysis and understanding viral transmission.
  • The model derivation approach is adaptable for other extensively sequenced viruses like Hepatitis C and Influenza A.