TY - JOUR
T1 - Genetic mapping of developmental instability
T2 - Design, model and algorithm
AU - Wu, Jiasheng
AU - Zhang, Bo
AU - Cui, Yuehua
AU - Zhao, Wei
AU - Xu, Li'an
AU - Huang, Minren
AU - Zeng, Yanru
AU - Zhu, Jun
AU - Wu, Rongling
PY - 2007/6
Y1 - 2007/6
N2 - Developmental instability or noise, defined as the phenotypic imprecision of an organism in the face of internal or external stochastic disturbances, has been thought to play an important role in shaping evolutionary processes and patterns. The genetic studies of developmental instability have been based on fluctuating asymmetry (FA) that measures random differences between the left and the right sides of bilateral traits. In this article, we frame an experimental design characterized by a spatial autocorrelation structure for determining the genetic control of developmental instability for those traits that cannot be bilaterally measured. This design allows the residual environmental variance of a quantitative trait to be dissolved into two components due to permanent and random environmental factors. The degree of developmental instability is quantified by the relative proportion of the random residual variance to the total residual variance. We formulate a mixture model to estimate and test the genetic effects of quantitative trait loci (QTL) on the developmental instability of the trait. The genetic parameters including the QTL position, the QTL effects, and spatial autocorrelations are estimated by implementing the EM algorithm within the mixture model framework. Simulation studies were performed to investigate the statistical behavior of the model. A live example for poplar trees was used to map the QTL that control root length growth and its developmental instability from cuttings in water culture.
AB - Developmental instability or noise, defined as the phenotypic imprecision of an organism in the face of internal or external stochastic disturbances, has been thought to play an important role in shaping evolutionary processes and patterns. The genetic studies of developmental instability have been based on fluctuating asymmetry (FA) that measures random differences between the left and the right sides of bilateral traits. In this article, we frame an experimental design characterized by a spatial autocorrelation structure for determining the genetic control of developmental instability for those traits that cannot be bilaterally measured. This design allows the residual environmental variance of a quantitative trait to be dissolved into two components due to permanent and random environmental factors. The degree of developmental instability is quantified by the relative proportion of the random residual variance to the total residual variance. We formulate a mixture model to estimate and test the genetic effects of quantitative trait loci (QTL) on the developmental instability of the trait. The genetic parameters including the QTL position, the QTL effects, and spatial autocorrelations are estimated by implementing the EM algorithm within the mixture model framework. Simulation studies were performed to investigate the statistical behavior of the model. A live example for poplar trees was used to map the QTL that control root length growth and its developmental instability from cuttings in water culture.
UR - http://www.scopus.com/inward/record.url?scp=34250735734&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34250735734&partnerID=8YFLogxK
U2 - 10.1534/genetics.107.072843
DO - 10.1534/genetics.107.072843
M3 - Article
C2 - 17435243
AN - SCOPUS:34250735734
SN - 0016-6731
VL - 176
SP - 1187
EP - 1196
JO - Genetics
JF - Genetics
IS - 2
ER -