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Functional divergence in protein (family) sequence evolution.

Xun Gu1

  • 1Department of Zoology and Genetics, LHB Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA 50011, USA. xgu@iastate.edu

Genetica
|July 19, 2003
PubMed
Summary
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Homology searches reveal functional insights by analyzing evolutionary rates and selective constraints in proteins. This evolutionary perspective aids in understanding protein family divergence and facilitates high-throughput functional assays.

Area of Science:

  • Evolutionary biology
  • Genomics
  • Bioinformatics

Background:

  • Homology searches are commonly used to infer protein function.
  • These searches rely on the neutral theory, linking functional significance to evolutionary rates and selective constraints.
  • Changes in site-specific rates indicate functional divergence during protein evolution.

Purpose of the Study:

  • To review recent work on inferring functional information from evolutionary perspectives.
  • To demonstrate how evolutionary analysis can facilitate high-throughput functional assays.
  • To highlight the emergence of evolutionary functional genomics.

Main Methods:

  • Analysis of site-specific evolutionary rates.
  • Assessment of selective constraints.

Related Experiment Videos

  • Review of recent research in evolutionary functional genomics.

    • Main Results:

    • Evolutionary analysis provides substantial functional information.
    • Site-specific rate changes correlate with functional divergence.
    • The evolutionary approach can enhance functional assay efficiency.

    Conclusions:

    • Evolutionary perspectives offer valuable insights into protein function and divergence.
    • Evolutionary functional genomics is an emerging field.
    • Software (DIVERGE) is available for these analyses.