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Using combinatorial libraries to engineer genetic circuits advances synthetic biology
Date:4/22/2009

tracked its behavior. Based on information from one network, the research team was able to calibrate their model and achieve accurate predictions from all the other possible network combinations. These timers, the study notes, are effectively genetic toggle switches.

One last test of these genetic timers was to assemble and test one in yeast, which could accurately time yeast sedimentation -- a process that can be applied to biotechnology and some popular brewed beverages.

"The phenotype is crucial in industrial beer, wine and bioethanol fermentation, as it allows for easy removal of yeast sediments after all the sugars have been converted to ethanol," the paper noted.

The researchers concluded that their method using combinatorial libraries to engineer genetic circuits moves the "tweaking" from the back-end of gene network engineering to the front-end.

"Projects undertaken with this approach will help accelerate synthetic biology by yielding many more components for the community," the paper concludes, noting the need for extensive characterization of each component is eliminated or substantially reduced.

"Our work also provides an accessible method for introducing predictable, controlled variability to networks, a feature that is increasingly becoming desirable as synthetic biology enters its second decade."


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Contact: Ronald Rosenberg
ronrosen@bu.edu
617-358-1240
Boston University
Source:Eurekalert

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