Genetic analysis of crossfostering data with sire and dam records

A method is presented for the analysis of data from crossfostering experiments in which parts of litters are reciprocally interchanged at birth. Observed variances and covariances of differently related individuals are expressed as functions of theoretical causal components of phenotypic variance (additive direct, dominance direct, additive maternal, dominance maternal, direct-maternal covariance, and environmental). Causal components are estimated by weighted least squares analysis of this system of equations, including a ridge-regression procedure to examine consequences of correlation between observed components. Ridge regression suggests that dominance direct genetic variance is generally underestimated, but that narrow-sense heritability estimates are reliable.     

Mapping Quantitative Trait Loci for Complex Binary Diseases Using Line Crosses

A composite interval gene mapping procedure for complex binary disease traits is proposed in this paper. The binary trait of interest is assumed to be controlled by an underlying liability that is normally distributed. The liability is treated as a typical quantitative character and thus described by the usual quantitative genetics model. Translation from the liability into a binary (disease) phenotype is through the physiological threshold model. Logistic regression analysis is employed to estimate the effects and locations of putative quantitative trait loci (our terminology for a single quantitative trait locus is QTL while multiple loci are referred to as QTLs). Simulation studies show that properties of this mapping procedure mimic those of the composite interval mapping for normally distributed data. Potential utilization of the QTL mapping procedure for resolving alternative genetic models (e.g., single- or two-trait-locus model) is discussed.     

Altering Developmental Trajectories in Mice by Restricted Index Selection

A restricted index selection experiment on mice was carried out for 14 generations on rate of early postnatal development (growth rate from birth to 10 days of age) vs. rate of development much later in ontogeny (growth rate from 28 to 56 days of age). Early rate of development (E) approximates hyperplasia (changes in cell number) and later rate (L) reflects hypertropy (changes in cell size). The selection criteria were as follows: E+L0 was selected to increase early body weight gain while holding late body weight gain constant; E-L0 was selected to decrease early body gain while holding late gain constant; E0L+ was selected to increase late gain holding early gain constant; and E0L- was selected to decrease late gain holding early gain constant. After 14 generations of selection, significant divergence among lines has occurred and the changes in the growth trajectories are very close to expectation. The genetic and developmental bases of complex traits are discussed as well as the concept of developmental homoplasy.     

Developmental Quantitative Genetics, Conditional Epigenetic Variability and Growth in Mice

Ontogenetic variation in the causal components of phenotypic variability and covariability is described for body weight and tail length in mice derived from a full 7 X 7 diallel cross. Age-related changes in additive, dominance, sex-linked and maternal variance and covariance between 14 and 70 days of age are described. Age-specific variance components at time t are conditioned on the causal genetic effects at time (t - 1). This procedure demonstrates the generation of significant episodes of new genetic variation arising at specific intervals during ontogeny. These episodes of new genetic variation are placed in the context of epigenetic models in developmental quantitative genetics. These results are also concordant on recent findings on age-specific gene expression in mouse growth as shown by QTL analyses.     

Morphometric integration in the rat (Rattus sp.) scapula

Morphometric integration was analysed in 19 anatomical measures taken on the scapula and humerus in a population of 519 rats. As hypothesized, genetic integration was the highest, the average phenotypic genetic, and environmental correlations being 0·53, 0·67 and 0·42, and the index of integration 0·56, 0·69 and 0·48. Phenotypic and genetic correlation matrices were most similar (correlation =+0.79), genetic and environmental matrices least similar (correlation =+0.49). The first unrotated vector produced from principal components analysis explained a high percentage of the total variation (from 50% in the environmental to 70% in the genetic solution), and was highly heritable in all cases. Rotated vectors defined two length, one width, and one height grouping in the phenotypic solution, these being explained largely in terms of muscle assemblages. The four vectors produced in the genetic solution were similar to those from the phenotypic ones, but were more functionally interpretable. The five vectors produced from the environmental correlations paralleled those from the phenotypic correlations with regard to the length, but not the width measures. The general concordance among appropriate vectors from all three solutions was reasonably high. Twelve of the 13 vectors, as well as several hypothetical ones. exhibited moderate to high heritabilities.     

Cellular consequences in the brain and liver of age-specific selection for rate of development in mice

Changes in cell number (hyperplasia) and cell size (hypertrophy) in the brain and liver are described for mice subjected to 24 generations of age-specific restricted index selection for rate of development in body weight. One selection treatment (E) altered rate of development between birth and 10 days of age, another treatment (L) involved changes in rate of development between 28 and 56 days of age, while a third control treatment (C) involved random selection. Each selection treatment was replicated three times. These age-specific selection treatments focused on intervals during ontogeny when different developmental processes (hypertrophy or hyperplasia) were more predominant in the control of growth. Significant changes in brain and liver weight occurred at both 28 and 70 days of age. Early selection (E) generated significant changes in the number of cells in the brain while later selection (L) had no effect since the brain had stopped growth before selection was initiated. For the liver, early and late selection produced significant effects on both cell number and cell size. These results describe the dynamic and multidimensional aspects of selection in terms of its ability to alter different cellular and developmental components of complex morphological traits.