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The Culture Environment Influences Both Gene Regulation and Phenotypic Heterogeneity in Escherichia coli

Overview of attention for article published in Frontiers in Microbiology, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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9 X users

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88 Mendeley
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Title
The Culture Environment Influences Both Gene Regulation and Phenotypic Heterogeneity in Escherichia coli
Published in
Frontiers in Microbiology, August 2018
DOI 10.3389/fmicb.2018.01739
Pubmed ID
Authors

Ashley Smith, Agnieszka Kaczmar, Rosemary A. Bamford, Christopher Smith, Simona Frustaci, Andrea Kovacs-Simon, Paul O’Neill, Karen Moore, Konrad Paszkiewicz, Richard W. Titball, Stefano Pagliara

Abstract

Microorganisms shape the composition of the medium they are growing in, which in turn has profound consequences on the reprogramming of the population gene-expression profile. In this paper, we investigate the progressive changes in pH and sugar availability in the medium of a growing Escherichia coli (E. coli) culture. We show how these changes have an effect on both the cellular heterogeneity within the microbial community and the gene-expression profile of the microbial population. We measure the changes in gene-expression as E. coli moves from lag, to exponential, and finally into stationary phase. We found that pathways linked to the changes in the medium composition such as ribosomal, tricarboxylic acid cycle (TCA), transport, and metabolism pathways are strongly regulated during the different growth phases. In order to quantify the corresponding temporal changes in the population heterogeneity, we measure the fraction of E. coli persisters surviving different antibiotic treatments during the various phases of growth. We show that the composition of the medium in which β-lactams or quinolones, but not aminoglycosides, are dissolved strongly affects the measured phenotypic heterogeneity within the culture. Our findings contribute to a better understanding on how the composition of the culture medium influences both the reprogramming in the population gene-expression and the emergence of phenotypic variants.

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X Demographics

The data shown below were collected from the profiles of 9 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Student > Master 13 15%
Researcher 7 8%
Student > Bachelor 7 8%
Student > Doctoral Student 4 5%
Other 10 11%
Unknown 28 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 23%
Agricultural and Biological Sciences 13 15%
Physics and Astronomy 5 6%
Immunology and Microbiology 4 5%
Environmental Science 3 3%
Other 9 10%
Unknown 34 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 August 2018.
All research outputs
#4,958,366
of 24,775,802 outputs
Outputs from Frontiers in Microbiology
#4,776
of 28,237 outputs
Outputs of similar age
#88,405
of 335,538 outputs
Outputs of similar age from Frontiers in Microbiology
#217
of 751 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,237 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done well, scoring higher than 83% 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 335,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 751 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.