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Training Manual Application of Genetics and Biotechnology in ...

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<strong>of</strong> genetic differences among the <strong>in</strong>dividuals <strong>in</strong> a population, it has got very little<br />

predictive power. It cannot be used to predict the values <strong>of</strong> a quantitative trait <strong>in</strong> the<br />

<strong>of</strong>fspr<strong>in</strong>g <strong>of</strong> specific mat<strong>in</strong>gs, nor can it be used to study the nature <strong>of</strong> the genes<br />

affect<strong>in</strong>g the trait. For theSe purposes, we need a more ref<strong>in</strong>ed analysis.<br />

In order to predict an <strong>of</strong>fspr<strong>in</strong>g's phenotype, it is necessary to subdivide the<br />

genotypic variance <strong>in</strong> the model : Vp = Vg + Ve. The variance due to genotype (Vg)<br />

encompasses all the genetic factors affect<strong>in</strong>g a trait <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>teraction among<br />

genes. Such <strong>in</strong>teractions have little or no predictive value because Mendelian<br />

segregation breaks up gene comb<strong>in</strong>ations. Consequently, the methods for predict<strong>in</strong>g<br />

phenotypes depend primarily on the effects <strong>of</strong> <strong>in</strong>dividual alleles.<br />

Let us represent the cumulative sum <strong>of</strong> the effects by A (for allelic effects)<br />

<strong>and</strong> the sum <strong>of</strong> the <strong>in</strong>teractions by the letter I.<br />

ThusG=A+I<strong>and</strong>P=A+I+E<br />

In this model, the phenotype <strong>of</strong> an <strong>in</strong>dividual is determ<strong>in</strong>ed by three separate<br />

components. In a population, this model implies that the phenotypic variance will<br />

also be determ<strong>in</strong>ed by three components, provided that the terms A, I <strong>and</strong> E are<br />

unconelated. If this is assumed, then:<br />

oZp = o2 A + o2 I + o2 E<br />

where o2 A is called the additive genetic variance because it accounts for the<br />

variability caused by the additive effects <strong>of</strong> alleles. o2 I is the <strong>in</strong>teraction genetic<br />

variance, a term that measures the impact <strong>of</strong> genetic comb<strong>in</strong>ations. Sometimes this<br />

term is subdivided <strong>in</strong>to components for dom<strong>in</strong>ance <strong>and</strong> epistasis. Dom<strong>in</strong>ance<br />

<strong>in</strong>volves comb<strong>in</strong>ation <strong>of</strong> alleles at the same locus <strong>and</strong> epistasis <strong>in</strong>volves comb<strong>in</strong>ations<br />

at different loci. S<strong>in</strong>ce neither o2 I nor part <strong>of</strong> o2 I has much predictive power,<br />

quantitative geneticists tend to focus their attention on additive genetic variance. This<br />

leads us to the narrow sense heritability which is def<strong>in</strong>ed as the ratio o2 A/ oZP i.e. the<br />

proportion <strong>of</strong> the total phenotypic variance that is due to the additive effect <strong>of</strong> alleles.<br />

Quantitative geneticists estimate heritability from correlation between relatives.<br />

This method <strong>in</strong>volves comput<strong>in</strong>g the correlation coefficient <strong>and</strong> then divid<strong>in</strong>g it by<br />

the fraction <strong>of</strong> genes that the relatives share by virtue <strong>of</strong> their common ancestory.<br />

Half-sibs reared <strong>in</strong> different environments are useful as they share one-fourth <strong>of</strong> their<br />

genes but none <strong>of</strong> their environmental effects.

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