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QUANTITATIVE GENETIC MODELS FOR DEVELOPMENT, EPIGENETIC SELECTION, AND PHENOTYPIC EVOLUTION.

David E Cowley1, William R Atchley1

  • 1Department of Genetics, North Carolina State University, Raleigh, NC, 27695-7614, USA.

Evolution; International Journal of Organic Evolution
|June 1, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a quantitative genetic model accounting for maternal and epigenetic effects. The model allows for simultaneous estimation of these developmental influences on traits.

Keywords:
Developmental interactiondevelopmental trajectorygenetic correlationgenetic covariancegrowthmaternal effectpleiotropy

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Area of Science:

  • Quantitative genetics
  • Developmental biology
  • Epigenetics

Background:

  • Traditional quantitative genetic models often overlook developmental phenomena like maternal and epigenetic effects.
  • Incorporating these effects is crucial for a more biologically realistic understanding of trait inheritance.

Purpose of the Study:

  • To develop a general multivariate quantitative genetic model integrating maternal and epigenetic effects.
  • To explore how these developmental phenomena influence genetic correlations and phenotypic variances across different ages.

Main Methods:

  • A developmental time framework was applied to a traditional quantitative genetic model.
  • Maternal effects were extended to include multiple developmental ages (e.g., prenatal, postnatal).
  • A model for intrinsic and epigenetic effects was described, followed by their integration with maternal effects.

Main Results:

  • Phenotypic variances were derived in terms of age-specific genetic and environmental variances.
  • Epigenetic effects can generate genetic correlations and may be confounded with age-specific genetic effects.
  • The integrated model demonstrated that offspring-mother and offspring-father regressions can estimate maternal and epigenetic effects.

Conclusions:

  • The developed model offers a more biologically realistic approach to quantitative genetics.
  • Simultaneous estimation of maternal and epigenetic effects is feasible using phenotypic regressions.
  • This framework advances the understanding of complex trait inheritance influenced by developmental factors.