Genetic mapping of developmental instability

Design, model and algorithm

Jiasheng Wu, Bo Zhang, Yuehua Cui, Wei Zhao, Li'an Xu, Minren Huang, Yanru Zeng, Jun Zhu, Rongling Wu

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1187-1196
Number of pages10
JournalGenetics
Volume176
Issue number2
DOIs
StatePublished - Jun 1 2007

Fingerprint

Quantitative Trait Loci
Spatial Analysis
Internal-External Control
Genetic Structures
Statistical Models
Noise
Research Design
Water
Growth

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Wu, Jiasheng ; Zhang, Bo ; Cui, Yuehua ; Zhao, Wei ; Xu, Li'an ; Huang, Minren ; Zeng, Yanru ; Zhu, Jun ; Wu, Rongling. / Genetic mapping of developmental instability : Design, model and algorithm. In: Genetics. 2007 ; Vol. 176, No. 2. pp. 1187-1196.
@article{1f879ea7dfd84b84933cd816ce958168,
title = "Genetic mapping of developmental instability: Design, model and algorithm",
abstract = "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.",
author = "Jiasheng Wu and Bo Zhang and Yuehua Cui and Wei Zhao and Li'an Xu and Minren Huang and Yanru Zeng and Jun Zhu and Rongling Wu",
year = "2007",
month = "6",
day = "1",
doi = "10.1534/genetics.107.072843",
language = "English (US)",
volume = "176",
pages = "1187--1196",
journal = "Genetics",
issn = "0016-6731",
publisher = "Genetics Society of America",
number = "2",

}

Wu, J, Zhang, B, Cui, Y, Zhao, W, Xu, L, Huang, M, Zeng, Y, Zhu, J & Wu, R 2007, 'Genetic mapping of developmental instability: Design, model and algorithm', Genetics, vol. 176, no. 2, pp. 1187-1196. https://doi.org/10.1534/genetics.107.072843

Genetic mapping of developmental instability : Design, model and algorithm. / Wu, Jiasheng; Zhang, Bo; Cui, Yuehua; Zhao, Wei; Xu, Li'an; Huang, Minren; Zeng, Yanru; Zhu, Jun; Wu, Rongling.

In: Genetics, Vol. 176, No. 2, 01.06.2007, p. 1187-1196.

Research output: Contribution to journalArticle

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 - 2007/6/1

Y1 - 2007/6/1

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

VL - 176

SP - 1187

EP - 1196

JO - Genetics

JF - Genetics

SN - 0016-6731

IS - 2

ER -

Wu J, Zhang B, Cui Y, Zhao W, Xu L, Huang M et al. Genetic mapping of developmental instability: Design, model and algorithm. Genetics. 2007 Jun 1;176(2):1187-1196. https://doi.org/10.1534/genetics.107.072843