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Phylogenetic Inference from Atomised 3D Morphometric Data: a Case Study using Kangaroos.

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Summary
This summary is machine-generated.

This study introduces a novel method for objectively analyzing morphological data in phylogenetics, improving accuracy and accommodating evolutionary complexities in kangaroos and their relatives. The new approach shows promise for integrating diverse data types in evolutionary studies.

Keywords:
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Area of Science:

  • Evolutionary Biology
  • Morphometrics
  • Phylogenetics

Background:

  • Traditional phylogenetic reconstruction from morphological data is prone to investigator bias and analytical challenges.
  • Geometric morphometrics offers objective tools, but direct landmark analysis has limitations for phylogenetic inference due to correlated variation and saltational evolution.
  • Existing methods often struggle with non-independence of landmarks, multimodal variation, and missing data.

Purpose of the Study:

  • To develop and apply an objective method for discretizing morphometric data for phylogenetic analysis.
  • To address limitations of traditional morphological data in phylogenetics, including investigator bias and violated model assumptions.
  • To improve the integration of phenotypic and genomic data for more accurate phylogenetic inference.

Main Methods:

  • Developed an "atomized" character approach to discretize 3D surface scan data of Macropodiformes mandibles and postcranial elements.
  • Partitioned landmarks into co-varying functional units and applied novel discretization techniques to continuous shape variation.
  • Constructed discrete morphological character matrices using clustering algorithms, minimum evolution criteria, and tree sampling procedures.

Main Results:

  • Phylogenetic analyses using the novel matrices generally recovered genera and deep-level macropodiform clades.
  • Intergeneric relationships within the rapidly diversifying macropodine subfamily were not accurately reconstructed, mirroring issues with continuous data, traditional characters, and DNA data.
  • The atomized characters showed promise for improving objectivity, accuracy, and clocklikeness in morphological phylogenetics.

Conclusions:

  • The developed atomized character approach offers a promising pathway for more objective and accurate morphological phylogenetics.
  • This method can accommodate correlated homoplasy and improve the estimation of morphological evolution rates.
  • The approach facilitates better integration of phenotypic and genomic data for robust phylogenetic inference.