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Updated: May 10, 2025

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Topological and variational modularity: A case study using the pectoral girdle across the Chrosomus eos-neogaeus
Kevin K Duclos1, Thomas Grünbaum2, Bernard Angers3
1Cumming School of Medicine, University of Calgary, Calgary, Canada.
Anatomical Record (Hoboken, N.J. : 2007)
|April 25, 2025
Summary
Anatomical network analysis (AnNA) and geometric morphometrics (GMM) offer complementary insights into evolutionary developmental biology. This study shows AnNA can generate hypotheses for GMM testing in understudied taxa.
Area of Science:
- Evolutionary developmental biology (Evo-Devo)
- Comparative anatomy
- Morphological evolution
Background:
- Modularity and integration are crucial for evolvability in developmental evolution research.
- Geometric morphometrics (GMM) is commonly used, but anatomical network analysis (AnNA) is emerging.
- AnNA's utility for within-taxa variability and comparison with GMM remains underexplored.
Purpose of the Study:
- To compare AnNA and GMM for assessing modularity and integration within the Chrosomus eos-neogaeus hybridization complex.
- To evaluate AnNA's potential for hypothesis generation in understudied taxa.
- To determine the best practices for utilizing AnNA and GMM in skeletal analysis.
Main Methods:
- Utilized landmark-based geometric morphometrics (GMM).
- Employed anatomical network analysis (AnNA) to study pectoral girdle morphology.
- Investigated the Chrosomus eos-neogaeus hybridization complex as a model system.
Main Results:
- Pectoral girdle anatomy showed limited variation, but bone morphology and sutures exhibited significant diversity.
- C. neogaeus featured enlarged, fused bones, while C. eos had gracile, unfused elements; hybrids displayed distinct morphologies.
- AnNA identified modularity patterns, and GMM supported similar modularity but revealed different variation trajectories.
Conclusions:
- AnNA is valuable for generating novel hypotheses in understudied taxa, which can be tested with GMM.
- Morphological descriptions of skeletal systems enhance the interpretation of both AnNA and GMM.
- Combining AnNA and GMM provides a robust approach to studying morphological evolution and modularity.
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