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Assessing Bayesian Phylogenetic Information Content of Morphological Data Using Knowledge From Anatomy Ontologies.

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Ontologies can help analyze complex morphological data for evolutionary insights. However, anatomical relationships don't always align with ontological structures, suggesting convergence plays a role.

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Area of Science:

  • Evolutionary Biology
  • Bioinformatics
  • Comparative Anatomy

Background:

  • Morphology is crucial for phylogenetics, especially for fossils.
  • Anatomical characters are dependent and hierarchically nested, not independent.
  • Ontologies offer structured vocabularies for anatomical properties and dependencies.

Purpose of the Study:

  • Assess if evolutionary patterns explain character proximity in ontologies.
  • Evaluate if phylogenetic information matches hierarchical ontology structure.
  • Interrogate complex morphological data using ontologies.

Main Methods:

  • Measure Bayesian phylogenetic information (BPI) and phylogenetic dissonance.
  • Analyze ontology-annotated anatomical data subsets.
  • Applied to bees (Apoidea) and characiform fishes.

Main Results:

  • Bee morphology: BPI not explained by anatomy; high dissonance among related entities.
  • Fish morphology: Jaws and branchial arches show information clusters.
  • Higher-level ontology subsets show decreased information and increased dissonance.

Conclusions:

  • Phylogenetic information matches ontology structure for some anatomical entities.
  • Convergence and other processes significantly influence BPI and dissonance.
  • Ontologies facilitate understanding information spread, congruence, and evolutionary processes in morphology.