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Developmental quantitative genetics, conditional epigenetic variability and growth in mice

W R Atchley1, J Zhu

  • 1Department of Genetics, North Carolina State University, Raleigh 27695-7614, USA. atchley@ncsu.edu

Genetics
|October 23, 1997
PubMed
Summary
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Genetic variation influencing mouse growth traits like body weight and tail length changes during development. New genetic variation emerges at specific times, linked to epigenetic models and gene expression.

Area of Science:

  • Quantitative genetics
  • Developmental biology
  • Genetics

Background:

  • Phenotypic variability and covariability are influenced by genetic and environmental factors.
  • Understanding ontogenetic changes in these components is crucial for developmental quantitative genetics.
  • Previous studies have explored genetic influences on growth, but dynamic ontogenetic changes require further investigation.

Purpose of the Study:

  • To describe ontogenetic variation in the causal components of phenotypic variability and covariability for body weight and tail length in mice.
  • To detail age-related changes in additive, dominance, sex-linked, and maternal variance and covariance during development.
  • To explore the generation of new genetic variation during ontogeny within epigenetic and gene expression contexts.

Main Methods:

Related Experiment Videos

  • Utilized a full 7 x 7 diallel cross of mice.
  • Analyzed age-related changes in variance and covariance components from 14 to 70 days of age.
  • Conditioned age-specific variance components on prior causal genetic effects to identify new variation episodes.

Main Results:

  • Demonstrated significant episodes of new genetic variation emerging at specific developmental intervals.
  • Identified age-related changes in additive, dominance, sex-linked, and maternal variance and covariance for body weight and tail length.
  • Results align with epigenetic models and recent findings on age-specific gene expression in mouse growth (QTL analyses).

Conclusions:

  • Ontogenetic changes in genetic architecture significantly impact phenotypic variability and covariability.
  • Epigenetic models and age-specific gene expression are key to understanding dynamic genetic variation during development.
  • This study provides a framework for investigating developmental quantitative genetics and its implications for growth traits.