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Related Experiment Videos

ESTimating plant phylogeny: lessons from partitioning.

Jose E B de la Torre1, Mary G Egan, Manpreet S Katari

  • 1Department of Biology, New York University, 100 Washington Sq East, New York, NY 10003, USA. jdl266@nyu.edu

BMC Evolutionary Biology
|June 17, 2006
PubMed
Summary
This summary is machine-generated.

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Expressed Sequence Tags (ESTs) offer a viable method for phylogenetic analysis in seed plants, despite challenges with sequencing errors and orthology. Incorporating EST data into simultaneous analysis provides a powerful genomic-scale approach for understanding evolutionary history.

Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Phylogenetic analysis using Expressed Sequence Tags (ESTs) is challenging due to sequencing errors and orthology determination.
  • Whole-genome sequencing is impractical for some species, making ESTs a valuable genomic sampling tool.

Purpose of the Study:

  • To develop methods for incorporating EST sequence information into simultaneous analysis for resolving seed plant phylogeny.
  • To assess the utility of EST data for phylogenetic analysis using automated orthology determination and parsimony frameworks.

Main Methods:

  • Utilized an automated, phylogenetically derived orthology determination method (OrthologID).
  • Generated a phylogeny using 43 process partitions, with a significant portion derived from ESTs.

Related Experiment Videos

  • Employed maximum parsimony (MP) analysis and examined measures of support.

    • Main Results:

    • A single, well-supported MP tree was generated, despite conflicts among individual partition analyses.
    • The nuclear partition tree, largely based on EST data, was topologically identical to the simultaneous analysis tree.
    • Morphological data trees showed statistically significant differences compared to other analyses.

    Conclusions:

    • EST data, when integrated into simultaneous analysis, provides a viable and efficient approach for genomic-scale phylogenetic questions.
    • Addressing orthology and sequencing errors is crucial for maximizing EST data utility in phylogenetics.
    • Simultaneous analysis frameworks offer precise insights into evolutionary history and functional aspects of gene products.