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Related Experiment Videos

Predicting functional divergence in protein evolution by site-specific rate shifts.

Eric A Gaucher1, Xun Gu, Michael M Miyamoto

  • 1NASA Astrobiology Institute, University of Florida, Gainesville, FL 32611, USA.

Trends in Biochemical Sciences
|June 19, 2002
PubMed
Summary

Protein evolution models can now account for changing mutation rates at individual sites. This approach reveals functional divergence in gene families, aiding the study of paralogs and orthologs.

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Area of Science:

  • Evolutionary biology
  • Molecular biology
  • Bioinformatics

Background:

  • Traditional protein evolution models assume constant mutation rates for all sites.
  • Walter Fitch's observation suggested that functional changes can alter site-specific mutation rates.
  • Recent advancements allow for the analysis of non-constant evolutionary rates.

Purpose of the Study:

  • To apply the non-homogeneous gamma model to analyze protein evolution.
  • To identify sites involved in functional changes within gene families.
  • To investigate functional divergence across multiple gene families.

Main Methods:

  • Utilized the non-homogeneous gamma model for evolutionary rate analysis.
  • Integrated structural and molecular biology data.

Related Experiment Videos

  • Applied the model to diverse gene families to study paralogs and orthologs.

    • Main Results:

    • Identified specific sites likely responsible for functional transitions.
    • Demonstrated widespread functional divergence in protein evolution.
    • Highlighted differences in evolutionary rates among protein sites.

    Conclusions:

    • The non-homogeneous gamma model effectively extracts functional information from gene families.
    • Site-specific mutation rate variation is crucial for understanding protein functional divergence.
    • This approach aids in distinguishing paralogs and orthologs based on functional evolution.