Literature DB >> 28563997

HOW SIMILAR ARE GENETIC CORRELATION STRUCTURES? DATA FROM MICE AND RATS.

Luci Ann P Kohn1, William R Atchley2.   

Abstract

An integral assumption of many models of morphometric evolution is the equality of the genetic variance-covariance structure across evolutionary time. To examine this assumption, the quantitative-genetic aspects of morphometric form are examined for eight pelvic traits in laboratory rats (Rattus norvegicus) and random-bred ICR mice (Mus musculus). In both species, all traits are significantly heritable, and there are significant phenotypic and genetic correlations among traits, although environmental correlations among the eight traits are low. The size relations among the pelvic variables are isometric. Three matrix-permutation tests are used to examine similarity of phenotypic, genetic, and environmental covariance and correlation matrices within and between species. Independent patterns of morphometric covariation and correlation arise from genetic and environmental effects within each species and from environmental effects between species. The patterns of phenotypic and genetic covariation and correlation are similar within each species, and the phenotypic and genetic correlations are also similar between these species. However, genetic covariance matrices show no significant statistical association between species. It is suggested that the assumption of equality of genetic variance-covariance structures across divergent taxa should be approached with caution. © 1988 The Society for the Study of Evolution.

Entities:  

Year:  1988        PMID: 28563997     DOI: 10.1111/j.1558-5646.1988.tb04153.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  3 in total

1.  Genetic, phenotypic, and environmental correlations in black medic,Medicago lupulina L., grown in three different environments.

Authors:  D Hébert; S Fauré; I Olivieri
Journal:  Theor Appl Genet       Date:  1994-07       Impact factor: 5.699

2.  The G-matrix Simulator Family: Software for Research and Teaching.

Authors:  Adam G Jones; Reinhard Bürger; Stevan J Arnold
Journal:  J Hered       Date:  2018-10-31       Impact factor: 2.645

3.  Phenotypic covariance at species' borders.

Authors:  M Julian Caley; Edward Cripps; Edward T Game
Journal:  BMC Evol Biol       Date:  2013-05-28       Impact factor: 3.260

  3 in total

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