The genetic architecture of quantitative variation

Narain, P. (2009) The genetic architecture of quantitative variation National Academy Science Letters, 32 (5-6). pp. 135-147. ISSN 0250-541X

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Abstract

Most characters of economic importance in plants and animals and complex diseases in humans exhibit quantitative variation, the genetics of which has been a fascinating subject of study since Mendel's discovery of the laws of inheritance. The classical genetic basis of continuous variation based on infinitesimal model of Fisher and mostly using statistical methods has since undergone major modifications. The advent of molecular markers and their extensive mapping in several species has enabled detection of genes of metric characters known as Quantitative Trait Loci (QTL). The high-throughput genotyping technology coupled with micro-arrays has allowed expression of thousand of genes with known position in the genome and has provided an intermediate step with mRNA abundance as a sub-phenotype in the mapping of genotype onto the phenotype for quantitative traits. Such gene expression profiling has been combined with linkage analysis known as eQTL mapping. The first study of this kind was on budding yeast. Recently, the associated genetic basis of protein abundance using mass spectrometry has also been attempted in the same population of yeast. A comparative picture of transcript vs. protein abundance levels indicates that functionally important changes in the levels of the former are not necessarily reflected in changes in the levels of the latter. Genes and proteins are therefore required to be considered simultaneously to unravel the complex molecular circuitry that operates within a cell. One has to look at a global perspective on life processes instead of individual components of the system. It seems the interplay of genotype-phenotype relationship for quantitative variation is not only complex but also needs a dialectical approach for its understanding in which 'parts' and 'whole' evolve as a consequence of their relationship and the relationship itself evolves.

Item Type:Article
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ID Code:72285
Deposited On:07 Dec 2011 06:09
Last Modified:07 Dec 2011 06:09

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