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doi:10.1534/genetics.105.045310
A more recent version of this article appeared on January 1, 2006.
REGULAR RESEARCH PAPERS |
A Hyperspace Model to Decipher the Genetic Architecture of Developmental Processes: Allometry Meets Ontogeny
Rongling Wu 1* and Wei Hou 1
1 University of Florida
* To whom correspondence should be addressed. E-mail: rwu{at}stat.ufl.edu.
Submitted on May 6, 2005
Revised on June 28, 2005
Accepted on 9 September 2005
To better utilize limited resources for their survival and reproduction, all organisms will undergo developmental changes in both body size and shape during ontogeny. The genetic analysis of size change with increasing age, i.e., growth, has received a considerable attention in quantitative developmental genetic studies, but the genetic architecture of ontogenetic changes in body shape and its associated allometry has been poorly understood partly due to the lack of analytical tools. In this article, we attempt to construct a multivariate statistical framework for studying the genetic regulation of ontogenetic growth and shape. We have integrated biologically meaningful mathematical functions of growth curves and developmental allometry into the estimation process of genetic mapping aimed to identify individual quantitative trait loci (QTL) for phenotypic variation. This model defined with high dimensions can characterize the ontogenetic patterns of genetic effects of QTL over the lifetime of an organism and assess the interplay between genetic actions/interactions and phenotypic integration. The closed forms for the residual covariance matrix and its determinant and inverse were derived to overcome the computational complexity typical of our high-dimensional model. We used a worked example to validate the utility of this model. The implications of this model for genetic research of evo-devo are discussed.
Key Words: Allometry, Growth curve, Ontogeny, Quantitative trait loci, Structured antedependence model