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Progressive sequence alignment as a prerequisite to correct phylogenetic trees.

D F Feng1, R F Doolittle

  • 1Department of Chemistry, University of California-San Diego, La Jolla 92093.

Journal of Molecular Evolution
|January 1, 1987
PubMed
Summary
This summary is machine-generated.

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This study introduces a progressive alignment method for protein sequences, improving evolutionary tree construction. The novel approach prioritizes recently diverged sequences, yielding more biologically accurate phylogenetic trees.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Evolutionary Biology

Background:

  • Multiple sequence alignment is crucial for understanding protein evolution.
  • Phylogenetic tree construction relies on accurate sequence alignments.
  • Existing methods may not fully capture evolutionary relationships.

Purpose of the Study:

  • To develop a progressive alignment method for protein sequences.
  • To construct more accurate evolutionary trees using this method.
  • To compare the new method's results with conventional approaches.

Main Methods:

  • Iterative application of the Needleman-Wunsch pairwise alignment algorithm.
  • Construction of phylogenetic trees from difference matrices derived from multiple alignments.

Related Experiment Videos

  • Prioritization of comparisons between recently diverged sequences, adhering to the 'once a gap, always a gap' rule.

    • Main Results:

    • Successfully generated multiple alignments and phylogenetic trees for superoxide dismutases, globins, and tyrosine kinase-like sequences.
    • The progressive alignment method produced trees more consistent with biological expectations in several cases.
    • Comparison with trees from conventional pairwise methods highlighted the advantages of the progressive approach.

    Conclusions:

    • The progressive alignment method offers an improved strategy for constructing phylogenetic trees from protein sequences.
    • This method enhances the accuracy of evolutionary relationship depiction.
    • The 'once a gap, always a gap' principle contributes to more reliable evolutionary inference.