Genetic Basis for Systems of Skeletal Quantitative Traits: Principal Component Analysis of the Canid Skeleton

Evolution of mammalian skeletal structure can be rapid and the changes profound, as illustrated by the morphological diversity of the domestic dog. Here we use principal component analysis of skeletal variation in a population of Portuguese Water Dogs to reveal systems of traits defining skeletal st...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 99; no. 15; pp. 9930 - 9935
Main Authors Chase, Kevin, Carrier, David R., Adler, Frederick R., Jarvik, Tyler, Ostrander, Elaine A., Lorentzen, Travis D., Lark, Karl G.
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 23.07.2002
National Acad Sciences
The National Academy of Sciences
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Summary:Evolution of mammalian skeletal structure can be rapid and the changes profound, as illustrated by the morphological diversity of the domestic dog. Here we use principal component analysis of skeletal variation in a population of Portuguese Water Dogs to reveal systems of traits defining skeletal structures. This analysis classifies phenotypic variation into independent components that can be used to dissect genetic networks regulating complex biological systems. We show that unlinked quantitative trait loci associated with these principal components individually promote both correlations within structures (e.g., within the skull or among the limb bones) and inverse correlations between structures (e.g., skull vs. limb bones). These quantitative trait loci are consistent with regulatory genes that inhibit growth of some bones while enhancing growth of others. These systems of traits could explain the skeletal differences between divergent breeds such as Grey-hounds and Pit Bulls, and even some of the skeletal transformations that characterize the evolution of hominids.
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To whom reprint requests should be addressed. E-mail: lark@bioscience.utah.edu.
Communicated by Mario R. Capecchi, University of Utah, Salt Lake City, UT
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.152333099