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Related Experiment Videos

The Adaptive Evolution Database (TAED).

D A Liberles1, D R Schreiber, S Govindarajan

  • 1Department of Chemistry, University of Florida, Gainesville, FL 32611 USA. liberles@sbc.su.se

Genome Biology
|April 18, 2001
PubMed
Summary
This summary is machine-generated.

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The Adaptive Evolution Database (TAED) identifies genes undergoing adaptive evolution by analyzing protein sequence changes. This resource aids biologists in studying molecular evolution and Darwinian processes shaping species.

Area of Science:

  • Molecular Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Understanding species divergence at a molecular level is fundamental to biology.
  • The Master Catalog provides evolutionary models for protein-coding genes in GenBank.
  • The Adaptive Evolution Database (TAED) links simultaneous evolutionary events using coding sequence evolution.

Purpose of the Study:

  • To identify candidate genes and evolutionary periods of adaptive evolution.
  • To create a resource for studying the interaction between protein sequences and evolutionary processes.

Main Methods:

  • Estimated the ratio of nonsynonymous to synonymous nucleotide substitution (Ka/Ks) for evolutionary tree branches.
  • Analyzed protein sequence evolution within chordata and embryophyta subtrees.

Related Experiment Videos

  • Identified branches with high Ka/Ks values as indicators of positive selection.

    • Main Results:

    • A significant percentage (10-20%) of examined gene families showed at least one branch with a high Ka/Ks value, indicating putative adaptive evolution.
    • These high Ka/Ks values suggest episodes of positive selection, often associated with functional changes.
    • The findings were compiled into The Adaptive Evolution Database (TAED).

    Conclusions:

    • Candidate genes undergoing simultaneous evolution in the same lineage can be analyzed phylogenetically.
    • The framework based on coding sequence evolution is expandable to other evolutionary types.
    • TAED serves as a valuable resource for bioinformaticists and experimental evolutionists seeking examples of adaptive evolution.