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Chasing the urmetazoon: striking a blow for quality data?
Hans-Jürgen Osigus1, Michael Eitel, Bernd Schierwater
1ITZ, Division of Ecology and Evolution, Stiftung Tieraerztliche Hochschule Hannover, Germany.
Molecular Phylogenetics and Evolution
|June 12, 2012
Summary
Determining the appearance of the earliest animals (urmetazoan) remains challenging. This review emphasizes evaluating the quality of diverse data, not just quantity, for resolving deep phylogenetic questions.
Area of Science:
- Evolutionary Biology
- Phylogenetics
- Zoology
Background:
- The evolutionary history of the earliest animals (urmetazoan) is a long-standing, unresolved question in biology.
- While some organismal data suggest Placozoa are basal in the metazoan tree of life, molecular data present conflicting and sometimes nonsensical results.
- The deep phylogeny of metazoans is complicated by analytical freedom and uncertainty, questioning the utility of solely increasing molecular data.
Purpose of the Study:
- To critically evaluate the existing data and methodologies used to determine the urmetazoan's morphology.
- To advocate for a quality-based approach in analyzing diverse datasets for resolving deep phylogenetic problems.
- To address the limitations of current molecular data in solving the urmetazoan question.
Main Methods:
- Review and synthesis of existing organismal, morphological, molecular, gene arrangement, and gene loss/gain data.
- Critical analysis of the strengths and weaknesses of different data types in phylogenetic reconstruction.
- Discussion of analytical challenges and uncertainties in deep phylogeny.
Main Results:
- Molecular data alone have failed to provide a consistent or reliable answer to the urmetazoan question.
- Conflicting interpretations arise from different datasets, highlighting issues with data quality and analytical methods.
- A consensus on the urmetazoan's form remains elusive despite extensive research.
Conclusions:
- Resolving the urmetazoan question requires a nuanced approach that prioritizes data quality over quantity.
- Integrating diverse data types, including morphology and molecular characteristics, is crucial.
- Future research should focus on rigorous evaluation and appropriate analysis of high-quality data to overcome phylogenetic uncertainties.
