Literature DB >> 3610658

Biochemical heterozygosity and phenotypic variability of polygenic traits.

R Chakraborty.   

Abstract

Using the theory of additive genetic variability of a polygenic trait, it is shown that an individual's heterozygosity at the loci governing the trait cannot be determined accurately from observations on phenotypes alone. Furthermore, the negative association between heterozygosity and phenotypic variance, and a positive correlation of the frequency of the modal class of a phenotypic trait and the extent of heterozygosity can be explained by additive allelic effects. It is argued that while the number of heterozygous loci in an individual may not be a good indicator of the individual's genomic heterozygosity, there is evidence that some of the biochemical loci may reflect genetic variation at the loci controlling phenotypic polymorphism. Thus the observed relationship between biochemical heterozygosity and phenotypic variance may not constitute hard evidence of heterosis, overdominance, or associative overdominance.

Mesh:

Year:  1987        PMID: 3610658     DOI: 10.1038/hdy.1987.92

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  4 in total

1.  The role of balancing selection and overdominance in maintaining allozyme polymorphism.

Authors: 
Journal:  Genetica       Date:  1991       Impact factor: 1.082

2.  A quantitative model of the relationship between phenotypic variance and heterozygosity at marker loci under partial selfing.

Authors:  P David
Journal:  Genetics       Date:  1999-11       Impact factor: 4.562

3.  Association of allozyme heterozygosity and sternopleural chaetae number in Drosophila melanogaster.

Authors:  N A Shereif; D O Skibinski
Journal:  Genetica       Date:  1988-06-30       Impact factor: 1.082

4.  Heterozygosity maintains developmental stability of sternopleural bristles in Drosophila subobscura interpopulation hybrids.

Authors:  Zorana Kurbalija Novicic; Marina Stamenkovic-Radak; Cino Pertoldi; Mihailo Jelic; Marija Savic Veselinovic; Marko Andjelkovic
Journal:  J Insect Sci       Date:  2011       Impact factor: 1.857

  4 in total

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