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Artificially Constructed Quorum-Sensing Circuits Are Used for Subtle Control of Bacterial Population Density

Overview of attention for article published in PLOS ONE, August 2014
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Title
Artificially Constructed Quorum-Sensing Circuits Are Used for Subtle Control of Bacterial Population Density
Published in
PLOS ONE, August 2014
DOI 10.1371/journal.pone.0104578
Pubmed ID
Authors

Zhaoshou Wang, Xin Wu, Jianghai Peng, Yidan Hu, Baishan Fang, Shiyang Huang

Abstract

Vibrio fischeri is a typical quorum-sensing bacterium for which lux box, luxR, and luxI have been identified as the key elements involved in quorum sensing. To decode the quorum-sensing mechanism, an artificially constructed cell-cell communication system has been built. In brief, the system expresses several programmed cell-death BioBricks and quorum-sensing genes driven by the promoters lux pR and PlacO-1 in Escherichia coli cells. Their transformation and expression was confirmed by gel electrophoresis and sequencing. To evaluate its performance, viable cell numbers at various time periods were investigated. Our results showed that bacteria expressing killer proteins corresponding to ribosome binding site efficiency of 0.07, 0.3, 0.6, or 1.0 successfully sensed each other in a population-dependent manner and communicated with each other to subtly control their population density. This was also validated using a proposed simple mathematical model.

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Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
Germany 1 2%
Unknown 50 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 33%
Student > Bachelor 7 13%
Student > Doctoral Student 6 11%
Student > Master 6 11%
Researcher 6 11%
Other 5 9%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 31%
Biochemistry, Genetics and Molecular Biology 7 13%
Engineering 5 9%
Environmental Science 4 7%
Unspecified 2 4%
Other 10 19%
Unknown 9 17%