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Analysis of fluorescent reporters indicates heterogeneity in glucose uptake and utilization in clonal bacterial populations

Overview of attention for article published in BMC Microbiology, November 2013
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Title
Analysis of fluorescent reporters indicates heterogeneity in glucose uptake and utilization in clonal bacterial populations
Published in
BMC Microbiology, November 2013
DOI 10.1186/1471-2180-13-258
Pubmed ID
Authors

Nela Nikolic, Thomas Barner, Martin Ackermann

Abstract

In this study, we aimed at investigating heterogeneity in the expression of metabolic genes in clonal populations of Escherichia coli growing on glucose as the sole carbon source. Different metabolic phenotypes can arise in these clonal populations through variation in the expression of glucose transporters and metabolic enzymes. First, we focused on the glucose transporters PtsG and MglBAC to analyze the diversity of glucose uptake strategies. Second, we analyzed phenotypic variation in the expression of genes involved in gluconeogenesis and acetate scavenging (as acetate is formed and excreted during bacterial growth on glucose), which can reveal, for instance, phenotypic subpopulations that cross-feed through the exchange of acetate. In these experiments, E. coli MG1655 strains containing different transcriptional GFP reporters were grown in chemostats and reporter expression was measured with flow cytometry.

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The data shown below were collected from the profile of 1 X user 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
China 1 <1%
Estonia 1 <1%
United States 1 <1%
Unknown 127 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 25%
Researcher 22 16%
Student > Master 17 13%
Student > Bachelor 9 7%
Lecturer 7 5%
Other 24 18%
Unknown 21 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 33%
Biochemistry, Genetics and Molecular Biology 27 20%
Immunology and Microbiology 12 9%
Engineering 8 6%
Mathematics 3 2%
Other 12 9%
Unknown 28 21%
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 04 December 2013.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from BMC Microbiology
#2,468
of 3,489 outputs
Outputs of similar age
#168,311
of 223,576 outputs
Outputs of similar age from BMC Microbiology
#39
of 57 outputs
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