Construction and Enhancement of a Minimal Genetic AND Logic Gate

Author:

Sayut Daniel J.1,Niu Yan1,Sun Lianhong1

Affiliation:

1. Department of Chemical Engineering, University of Massachusetts Amherst, 686 North Pleasant Street, Amherst, Massachusetts 01002

Abstract

ABSTRACT The ability of genetic networks to integrate multiple inputs in the generation of cellular responses is critical for the adaptation of cellular phenotype to distinct environments and of great interest in the construction of complex artificial circuits. To develop artificial genetic circuits that can integrate intercellular signaling molecules and commonly used inducing agents, we have constructed an artificial genetic AND gate based on the P luxI quorum-sensing promoter and the lac repressor. The hybrid promoter exhibited reduced basal and induced expression levels but increased expression capacity, generating clear logical responses that could be described using a simple mathematical model. The model also predicted that the AND gate's logic could be improved by altering the properties of the LuxR transcriptional activator and, in particular, by increasing its rate of transcriptional activation. Following these predictions, we were able to improve the AND gate's logic by ∼1.5-fold using a LuxR mutant library generated by directed evolution, providing the first example of the use of mutant transcriptional activators to improve the logic of a complex regulatory circuit. In addition, detailed characterizations of the AND gate's responses shed light on how LuxR, LacI, and RNA polymerase interact to activate gene expression.

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

Reference42 articles.

1. Alifano, P., C. B. Bruni, and M. S. Carlomagno. 1994. Control of messenger-RNA processing and decay in prokaryotes. Genetica94:157-172.

2. Anderson, J. C., C. A. Voigt, and A. P. Arkin. 2007. Environmental signal integration by a modular AND gate. Mol. Syst. Biol.3:1-8.

3. Andrianantoandro, E., S. Basu, D. K. Karig, and R. Weiss. 2006. Synthetic biology: new engineering rules for an emerging discipline. Mol. Syst. Biol.2:1-14.

4. Balagadde, F. K., H. Song, J. Ozaki, C. H. Collins, M. Barnet, F. H. Arnold, S. R. Quake, and L. You. 2008. A synthetic Escherichia coli predator-prey ecosystem. Mol. Syst. Biol.4:1-8.

5. Barkley, M. D., and S. Bourgeois. 1980. Repressor recognition of operator and effectors, p. 177-220. In J. H. Miller and W. S. Reznikoff (ed.), The operon. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY.

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