Directed evolution of a genetic circuit
Author(s) -
Yohei Yokobayashi,
Ron Weiss,
Frances H. Arnold
Publication year - 2002
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.252535999
Subject(s) - synthetic biology , computer science , construct (python library) , electronic circuit , simple (philosophy) , process (computing) , circuit design , evolvable hardware , artificial intelligence , computational biology , biology , engineering , evolutionary algorithm , embedded system , electrical engineering , philosophy , epistemology , programming language , operating system
The construction of artificial networks of transcriptional control elements in living cells represents a new frontier for biological engineering. However, biological circuit engineers will have to confront their inability to predict the precise behavior of even the most simple synthetic networks, a serious shortcoming and challenge for the design and construction of more sophisticated genetic circuitry in the future. We propose a combined rational and evolutionary design strategy for constructing genetic regulatory circuits, an approach that allows the engineer to fine-tune the biochemical parameters of the networks experimentally in vivo. By applying directed evolution to genes comprising a simple genetic circuit, we demonstrate that a nonfunctional circuit containing improperly matched components can evolve rapidly into a functional one. In the process, we generated a library of genetic devices with a range of behaviors that can be used to construct more complex circuits.
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