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A Fitness Function for Metabolic Pathways

A classic example for examining a metabolic pathway in its evolutionary context is Dean and co-workers' analysis of lactose catabolism in Escherichia coli (Dean, et al., 1986). This is a basic linear pathway involving the diffusion of lactose through the outer cell membrane followed by active transport through the periplasmic membrane by permease activity. The lactose is subsequently broken down to glucose and galactose by -galactosidase. The flux rates giving rise to glucose and galactose can usually be correlated to bacterial growth rate by a linear relation. Thereby we can causally relate metabolic flux to relative growth rate. Relative growth rate is also the variable by which fitness is measured in bacterial population ecology. Consequently it is possible to place the metabolic pathway in its evolutionary context by relating the underlying physiological characteristics (in the form of enzyme activities and kinetic parameters) to a relevant phenotype (metabolic flux) and hence fitness.

The relative fitness (i.e. relative growth rate) of a mutant strain can be expressed as

where is the relative fitness of the mutant, is the flux rate of the mutant, J is the flux rate of the wild type strain and Y is the linear yield coefficient for growth. Using the derivation of pathway flux developed by Kacser and Burns (Kacser and Burns, 1973) and independently by Heinrich and Rapoport (Heinrich and Rapoport, 1974), the pathway flux can be expressed as:

where D is the diffusion constant across the outer membrane, is the equilibrium constant for the permease reaction, and are the dissociation constants and maximum velocities respectively, with the subscripts or designating permease or -galactosidase as the respective enzymes. The symbol is an abbreviation for the summation of kinetic ratios in the denominator and, as a component of flux, can be considered a physiological phenotype. In effect equation (1) can be re-written using (2) as:

(Dykhuizen, et al., 1987). The kinetic parameters in this derivation are based on the Michaelis-Menten conception of enzymatic reactions represented by:

where is the linear rate coefficient for each reaction (i=1,...,4), E is the enzyme, S is the substrate, ES is the enzyme-substrate complex and P the product.

Consider a mutation affecting the maximal rate of an enzyme. Assuming that is negligible the mutation is actually affecting the underlying kinetic parameter , such that the mutant enzyme's maximal rate is expressed by:

where is the change in caused by the mutation.gif[2] Note that mutations affecting regulation of enzyme levels can be modeled as those changing [E]. For a haploid organism eq. (4) can be substituted into (3) such that:

This equation predicts a fitness surface as a function of and .



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