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Phylogeny through brain traits: trees generated by neural characters.

J A Kirsch, J I Johnson

    Brain, Behavior and Evolution
    |January 1, 1983
    PubMed
    Summary
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    This study used brain characters and the Wagner algorithm to build phylogenetic trees for mammals. Results suggest rodents, insectivores, and tree shrews are the most derived mammalian groups based on brain evolution.

    Area of Science:

    • Mammalian Phylogenetics
    • Evolutionary Biology
    • Comparative Neuroanatomy

    Background:

    • Understanding mammalian evolutionary relationships is crucial for taxonomy and evolutionary studies.
    • Brain morphology offers a unique set of characters for phylogenetic analysis.

    Purpose of the Study:

    • To construct phylogenetic trees of mammalian species using brain characters.
    • To investigate the evolutionary relationships and derived status of mammalian groups based on neuroanatomy.

    Main Methods:

    • The Wagner algorithm was employed to compute phylogenetic trees.
    • Data from up to 15 brain characters were scored for 134 mammalian species.
    • Multiple trees were generated with varying numbers of taxa and characters (18, 99, and 38 taxa).

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    Main Results:

    • All computed trees successfully separated mammalian subclasses.
    • Phylogenetic trees indicated that rodents, insectivores, and tree shrews are the most derived groups based on brain characters.
    • The 38-taxon trees were deemed most reliable for preserving mammalian order integrity.

    Conclusions:

    • Brain characters provide valuable insights into mammalian phylogeny.
    • The sensitivity of tree shape to minor scoring changes highlights the need for robust character selection in phylogenetic analyses.
    • Rodents, insectivores, and tree shrews show significant evolutionary advancement in brain morphology.