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A metabolic force for gene clustering.

R E Svetic1, C R MacCluer, C O Buckley

  • 1Department of Mathematics and the Theoretical and Computational Biology Group, Michigan State University, East Lansing, MI 48824-1027, USA. rsvetic@math.msu.edu

Bulletin of Mathematical Biology
|March 10, 2004
PubMed
Summary

Bacterial gene clustering provides a thermodynamic advantage by keeping enzymes physically close, minimizing intermediate metabolites and conserving energy for rapid growth. This protein immobility model explains a key evolutionary driver for gene organization.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Systems Biology

Background:

  • Bacterial chromosomes often feature contiguous gene arrays grouped by metabolic function.
  • Previous models lacked a clear selection force for this gene clustering phenomenon.

Purpose of the Study:

  • To propose that metabolic gene clustering confers a thermodynamic advantage to bacteria.
  • To introduce the protein immobility model (PIM) as a selection force for gene clustering.

Main Methods:

  • Developed the protein immobility model (PIM) based on intracellular diffusion.
  • Conducted in silico experiments using PIM on a model metabolic pathway (A --> B --> C).
  • Modeled enzyme (E1, E2) immobility and metabolite (A, B, C) diffusion in a crowded cytosol.

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Main Results:

  • Clustered genes lead to local enzyme clusters, reducing steady-state intermediate metabolite concentrations.
  • The steady-state concentration of intermediates increases with the square of enzyme separation distance.
  • Gene cluster proximity to the origin of replication (ori) further enhances energy conservation.

Conclusions:

  • Gene clustering reduces the energetic and material costs of metabolic pathways.
  • Bacterial gene organization influences growth rate and is affected by nutrient availability.
  • The PIM provides a thermodynamic basis for the evolution of metabolic gene clusters.