Literature DB >> 6500333

Quantitative genetics and the evolution of ontogeny. II. Genetic and environmental correlations among age-specific characters in randombred house mice.

L Leamy, J M Cheverud.   

Abstract

In this study, phenotypic, genetic, maternal and residual environmental correlations among all pairs of six ages (17, 24, 31, 38, 45 and 52 days) were calculated for each of five morphometric characters (body weight, head length, trunk length, trunk circumference, and tail length) in ICR randombred house mice. The maternal correlations between ages averaged nearly unity for all characters, and the overall level (and integration, I) of the genetic correlations (mean level = 0.82, mean I = 0.85) was greater than that for the residual environmental correlations (mean level = 0.26, mean I = 0.32). The patterns of the phenotypic and genetic correlations were similar, with the highest correlations being between contiguous ages and a relatively smooth decrease in correlations for increasingly distant ages. Nearly all of the genetic covariation among ages was explained by the first (average = 86%) and second (average = 14%) components derived from principal components analysis of the genetic correlations. Genes with basically equal pleiotropic effects presumably generated the first component, genes with different effects among ages the second component. From the patterns of genetic correlations, it is predicted that direct selection on any given age would result in a moderate, positive response at most other ages, with more change in the height relative to the shape of the growth curve for each characteristic.

Entities:  

Mesh:

Year:  1984        PMID: 6500333

Source DB:  PubMed          Journal:  Growth        ISSN: 0017-4793


  6 in total

1.  Chromosome-wise dissection of the genome of the extremely big mouse line DU6i.

Authors:  Marianna R Bevova; Yurii S Aulchenko; Soner Aksu; Ulla Renne; Gudrun A Brockmann
Journal:  Genetics       Date:  2005-09-12       Impact factor: 4.562

2.  Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice.

Authors:  Larry J Leamy; Scott A Kelly; Kunjie Hua; Daniel Pomp
Journal:  Physiol Genomics       Date:  2012-10-09       Impact factor: 3.107

3.  A paternally imprinted QTL for mature body mass on mouse chromosome 8.

Authors:  Kellie A Rance; Jean-Michel Fustin; Gillian Dalgleish; Catherine Hambly; Lutz Bünger; John R Speakman
Journal:  Mamm Genome       Date:  2005-09-14       Impact factor: 2.957

4.  A global search reveals epistatic interaction between QTL for early growth in the chicken.

Authors:  Orjan Carlborg; Susanne Kerje; Karin Schütz; Lina Jacobsson; Per Jensen; Leif Andersson
Journal:  Genome Res       Date:  2003-03       Impact factor: 9.043

5.  Quantitative trait loci for murine growth.

Authors:  J M Cheverud; E J Routman; F A Duarte; B van Swinderen; K Cothran; C Perel
Journal:  Genetics       Date:  1996-04       Impact factor: 4.562

6.  Development of G: a test in an amphibious fish.

Authors:  Joseph M Styga; Thomas M Houslay; Alastair J Wilson; Ryan L Earley
Journal:  Heredity (Edinb)       Date:  2018-10-16       Impact factor: 3.821

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.