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Published on: August 14, 2018
Inference of molecular homology and sequence alignment by direct optimization
Matthew J Morgan1, Scot A Kelchner
1Section of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA. mattmorgan@mail.utexas.edu
Homology assessment in evolutionary biology traditionally uses a two-step process. This study critiques molecular homology, arguing character analysis, not congruence, identifies true homologous features for phylogenetic analysis.
Area of Science:
- Comparative Biology
- Evolutionary Biology
- Phylogenetics
- Molecular Biology
Background:
- Homology assessment is crucial for understanding evolutionary relationships.
- Traditional methods involve separate steps for proposing and testing homology hypotheses.
- Molecular data presents unique challenges for homology assessment.
Purpose of the Study:
- To examine the application and concept of "homology" in molecular data.
- To critique the assumptions underlying molecular homology in phylogenetic inference.
- To discuss the limitations of congruence testing for identifying homologous features.
Main Methods:
- Critique of traditional two-step homology assessment.
- Examination of direct optimization as a one-step phylogenetic method.
- Analysis of character analysis for establishing primary homology hypotheses.
Main Results:
- The test of congruence alone is insufficient to determine homologous features.
- Character analysis is essential for identifying correspondences that retain phylogenetic information.
- Direct optimization co-estimates positional homology and cladograms.
Conclusions:
- Primary homology hypotheses derived from character analysis are necessary for accurate phylogenetic interpretation.
- Relying solely on congruence can lead to misinterpretation of molecular data.
- The concept of molecular homology requires careful consideration for robust phylogenetic estimates.
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