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Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology

Overview of attention for article published in PLOS ONE, July 2010
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Title
Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011909
Pubmed ID
Authors

Philippe Marguet, Yu Tanouchi, Eric Spitz, Cameron Smith, Lingchong You

Abstract

Synthetic biology seeks to enable programmed control of cellular behavior though engineered biological systems. These systems typically consist of synthetic circuits that function inside, and interact with, complex host cells possessing pre-existing metabolic and regulatory networks. Nevertheless, while designing systems, a simple well-defined interface between the synthetic gene circuit and the host is frequently assumed. We describe the generation of robust but unexpected oscillations in the densities of bacterium Escherichia coli populations by simple synthetic suicide circuits containing quorum components and a lysis gene. Contrary to design expectations, oscillations required neither the quorum sensing genes (luxR and luxI) nor known regulatory elements in the P(luxI) promoter. Instead, oscillations were likely due to density-dependent plasmid amplification that established a population-level negative feedback. A mathematical model based on this mechanism captures the key characteristics of oscillations, and model predictions regarding perturbations to plasmid amplification were experimentally validated. Our results underscore the importance of plasmid copy number and potential impact of "hidden interactions" on the behavior of engineered gene circuits - a major challenge for standardizing biological parts. As synthetic biology grows as a discipline, increasing value may be derived from tools that enable the assessment of parts in their final context.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 6%
United Kingdom 6 4%
Germany 3 2%
Spain 2 1%
India 1 <1%
Canada 1 <1%
Chile 1 <1%
Mexico 1 <1%
France 1 <1%
Other 2 1%
Unknown 135 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 31%
Researcher 31 19%
Student > Master 12 7%
Student > Bachelor 11 7%
Professor > Associate Professor 11 7%
Other 35 21%
Unknown 13 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 40%
Biochemistry, Genetics and Molecular Biology 30 18%
Computer Science 12 7%
Engineering 12 7%
Medicine and Dentistry 4 2%
Other 23 14%
Unknown 17 10%