A hyperspace model to decipher the genetic architecture of developmental processes: Allometry meets ontogeny

Rongling Wu, Wei Hou

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

To better utilize limited resources for their survival and reproduction, all organisms 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 considerable attention in quantitative developmental genetic studies, but the genetic architecture of ontogenetic changes in body shape and its associated allometry have 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 at identifying 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 highdimensional 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.

Original languageEnglish (US)
Pages (from-to)627-637
Number of pages11
JournalGenetics
Volume172
Issue number1
DOIs
StatePublished - Jan 1 2006

Fingerprint

Quantitative Trait Loci
Growth
Genetic Phenomena
Genetic Research
Body Size
Reproduction

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

@article{41d74984aaa94caca3db1860eb53ac81,
title = "A hyperspace model to decipher the genetic architecture of developmental processes: Allometry meets ontogeny",
abstract = "To better utilize limited resources for their survival and reproduction, all organisms 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 considerable attention in quantitative developmental genetic studies, but the genetic architecture of ontogenetic changes in body shape and its associated allometry have 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 at identifying 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 highdimensional 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.",
author = "Rongling Wu and Wei Hou",
year = "2006",
month = "1",
day = "1",
doi = "10.1534/genetics.105.045310",
language = "English (US)",
volume = "172",
pages = "627--637",
journal = "Genetics",
issn = "0016-6731",
publisher = "Genetics Society of America",
number = "1",

}

A hyperspace model to decipher the genetic architecture of developmental processes : Allometry meets ontogeny. / Wu, Rongling; Hou, Wei.

In: Genetics, Vol. 172, No. 1, 01.01.2006, p. 627-637.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A hyperspace model to decipher the genetic architecture of developmental processes

T2 - Allometry meets ontogeny

AU - Wu, Rongling

AU - Hou, Wei

PY - 2006/1/1

Y1 - 2006/1/1

N2 - To better utilize limited resources for their survival and reproduction, all organisms 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 considerable attention in quantitative developmental genetic studies, but the genetic architecture of ontogenetic changes in body shape and its associated allometry have 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 at identifying 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 highdimensional 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.

AB - To better utilize limited resources for their survival and reproduction, all organisms 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 considerable attention in quantitative developmental genetic studies, but the genetic architecture of ontogenetic changes in body shape and its associated allometry have 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 at identifying 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 highdimensional 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.

UR - http://www.scopus.com/inward/record.url?scp=33644787002&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33644787002&partnerID=8YFLogxK

U2 - 10.1534/genetics.105.045310

DO - 10.1534/genetics.105.045310

M3 - Article

C2 - 16157673

AN - SCOPUS:33644787002

VL - 172

SP - 627

EP - 637

JO - Genetics

JF - Genetics

SN - 0016-6731

IS - 1

ER -