Back to Home
Home >> Metabolic Engineering for Over production of Metabolites >> Assessment of Nodal Rigidity and its Response to Metabolic Engineering
Back to Home

Assessment of Nodal Rigidity and its Response to Metabolic Engineering - Since information on the degree of nodal rigidity is needed for chosing an appropriate technology for metabolic engineering, various methods have been used for assessment of rigidity of a branch point or a node.

This information can be obtained using mathematical models of metabolism, metabolic control theory (MCT) or biochemical system theory (BST). In these approaches, simulations of a network arc conducted to assess rigidity. Various technologies of metabolic engineering, when applied to a network may also yield information about nodal rigidity.

The types or alterations, used to assess rigidity are, however, case specific and can be classified into following four general categories: (i) attenuation of enzyme activity using an inhibitor;

(ii) amplification of attenuation of enzyme activity through genetic modification;

(iii) environmental perturbation, such as change in: carbon source; (iv) deregulation of a different metabolite to increase metabolic burden.

Using these techniques, rigidity of G6P, Pyr and PEP principal nodes in lysine biosynthesis network could be assessed. For more details and examples, readers are advised to consult the review article written by Stephanopoulos and Vallino (1991). To examine the response of nodal rigidity, let us consider an independent network earlier given B, where increase in yield of P is the desired goal.

Further, the node 1 is flexible and, node 2 is strongly rigid, and B1 does not inhibit its own synthesis. In this case, if B1 branch is blocked, the yield of P would increase due to flexibility of node 1, but if B2 branch is blocked, the yield of P will actually decrease, since due to rigidity of lode 2, flux will be diverted to BI and the flux towards P will be attenuated.

If instead, node 1 is rigid and node 2 is, flexible, then blocking B2 will improve yield of p, but if BI is blocked, although yield of P will not be affected, the rate of the synthesis of P will be severely attenuated, due to the effect of flux distribution at S.

Nodal rigidity in dependent networks presents even greater problems for metabolic engineering. In if node 1 or node 2 is rigid, then attenuation of B1 synthesis would not affect the yield of P, but its synthesis rate will be correspondingly attenuated thus causing metabolic collapse.

Response in dependen network is independent of the location of rigidity, since alterations are needed at all nodes for coordinated flux partitioning at these nodes.