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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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

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%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 May 2015.
All research outputs
#15,303,896
of 22,760,687 outputs
Outputs from PLOS ONE
#130,437
of 194,199 outputs
Outputs of similar age
#133,642
of 231,138 outputs
Outputs of similar age from PLOS ONE
#2,869
of 4,726 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,199 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 231,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,726 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.