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Synthetic Evolution of Metabolic Productivity Using Biosensors

Journal

TRENDS IN BIOTECHNOLOGY
Volume 34, Issue 5, Pages 371-381

Publisher

ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tibtech.2016.02.002

Keywords

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Funding

  1. Bioplatforms Australia
  2. New South Wales (NSW) Chief Scientist and Engineer
  3. NSW Government Department of Primary Industries
  4. Macquarie University

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Synthetic biology has progressed to the point where genes that encode whole metabolic pathways and even genomes can be manufactured and brought to life. This impressive ability to synthesise and assemble DNA is not yet matched by an ability to predictively engineer biology. These difficulties exist because biological systems are often overwhelmingly complex, having evolved to facilitate growth and survival rather than specific engineering objectives such as the optimisation of biochemical production. A promising and revolutionary solution to this problem is to harness the process of evolution to create microbial strains with desired properties. The tools of systems biology can then be applied to understand the principles of biological design, bringing synthetic biology closer to becoming a predictive engineering discipline.

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