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Diversification of Gene Expression during Formation of Static Submerged Biofilms by Escherichia coli

Overview of attention for article published in Frontiers in Microbiology, October 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 blog
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151 Mendeley
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Title
Diversification of Gene Expression during Formation of Static Submerged Biofilms by Escherichia coli
Published in
Frontiers in Microbiology, October 2016
DOI 10.3389/fmicb.2016.01568
Pubmed ID
Authors

Olga Besharova, Verena M. Suchanek, Raimo Hartmann, Knut Drescher, Victor Sourjik

Abstract

Many bacteria primarily exist in nature as structured multicellular communities, so called biofilms. Biofilm formation is a highly regulated process that includes the transition from the motile planktonic to sessile biofilm lifestyle. Cellular differentiation within a biofilm is a commonly accepted concept but it remains largely unclear when, where and how exactly such differentiation arises. Here we used fluorescent transcriptional reporters to quantitatively analyze spatio-temporal expression patterns of several groups of genes during the formation of submerged Escherichia coli biofilms in an open static system. We first confirm that formation of such submerged biofilms as well as pellicles at the liquid-air interface requires the major matrix component, curli, and flagella-mediated motility. We further demonstrate that in this system, diversification of gene expression leads to emergence of at least three distinct subpopulations of E. coli, which differ in their levels of curli and flagella expression, and in the activity of the stationary phase sigma factor σ(S). Our study reveals mutually exclusive expression of curli fibers and flagella at the single cell level, with high curli levels being confined to dense cell aggregates/microcolonies and flagella expression showing an opposite expression pattern. Interestingly, despite the known σ(S)-dependence of curli induction, there was only a partial correlation between the σ(S) activity and curli expression, with subpopulations of cells having high σ(S) activity but low curli expression and vice versa. Finally, consistent with different physiology of the observed subpopulations, we show striking differences between the growth rates of cells within and outside of aggregates.

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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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 25%
Researcher 24 16%
Student > Bachelor 19 13%
Student > Master 19 13%
Student > Postgraduate 9 6%
Other 15 10%
Unknown 27 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 30%
Agricultural and Biological Sciences 36 24%
Immunology and Microbiology 10 7%
Physics and Astronomy 8 5%
Engineering 6 4%
Other 16 11%
Unknown 30 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 January 2021.
All research outputs
#3,620,177
of 22,890,496 outputs
Outputs from Frontiers in Microbiology
#3,300
of 24,936 outputs
Outputs of similar age
#61,232
of 319,501 outputs
Outputs of similar age from Frontiers in Microbiology
#90
of 439 outputs
Altmetric has tracked 22,890,496 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,936 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 86% of its peers.
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 319,501 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 439 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.