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Examining Escherichia coli glycolytic pathways, catabolite repression, and metabolite channeling using Δpfk mutants

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, October 2016
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 X user
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1 Facebook page
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2 Wikipedia pages

Citations

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163 Mendeley
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Title
Examining Escherichia coli glycolytic pathways, catabolite repression, and metabolite channeling using Δpfk mutants
Published in
Biotechnology for Biofuels and Bioproducts, October 2016
DOI 10.1186/s13068-016-0630-y
Pubmed ID
Authors

Whitney D. Hollinshead, Sarah Rodriguez, Hector Garcia Martin, George Wang, Edward E. K. Baidoo, Kenneth L. Sale, Jay D. Keasling, Aindrila Mukhopadhyay, Yinjie J. Tang

Abstract

Glycolysis breakdowns glucose into essential building blocks and ATP/NAD(P)H for the cell, occupying a central role in its growth and bio-production. Among glycolytic pathways, the Entner Doudoroff pathway (EDP) is a more thermodynamically favorable pathway with fewer enzymatic steps than either the Embden-Meyerhof-Parnas pathway (EMPP) or the oxidative pentose phosphate pathway (OPPP). However, Escherichia coli do not use their native EDP for glucose metabolism. Overexpression of edd and eda in E. coli to enhance EDP activity resulted in only a small shift in the flux directed through the EDP (~20 % of glycolysis flux). Disrupting the EMPP by phosphofructokinase I (pfkA) knockout increased flux through OPPP (~60 % of glycolysis flux) and the native EDP (~14 % of glycolysis flux), while overexpressing edd and eda in this ΔpfkA mutant directed ~70 % of glycolytic flux through the EDP. The downregulation of EMPP via the pfkA deletion significantly decreased the growth rate, while EDP overexpression in the ΔpfkA mutant failed to improve its growth rates due to metabolic burden. However, the reorganization of E. coli glycolytic strategies did reduce glucose catabolite repression. The ΔpfkA mutant in glucose medium was able to cometabolize acetate via the citric acid cycle and gluconeogenesis, while EDP overexpression in the ΔpfkA mutant repressed acetate flux toward gluconeogenesis. Moreover, (13)C-pulse experiments in the ΔpfkA mutants showed unsequential labeling dynamics in glycolysis intermediates, possibly suggesting metabolite channeling (metabolites in glycolysis are pass from enzyme to enzyme without fully equilibrating within the cytosol medium). We engineered E. coli to redistribute its native glycolytic flux. The replacement of EMPP by EDP did not improve E. coli glucose utilization or biomass growth, but alleviated catabolite repression. More importantly, our results supported the hypothesis of channeling in the glycolytic pathways, a potentially overlooked mechanism for regulating glucose catabolism and coutilization of other substrates. The presence of channeling in native pathways, if proven true, would affect synthetic biology applications and metabolic modeling.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
China 1 <1%
Unknown 160 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Researcher 24 15%
Student > Bachelor 23 14%
Student > Master 14 9%
Student > Doctoral Student 8 5%
Other 13 8%
Unknown 48 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 53 33%
Agricultural and Biological Sciences 21 13%
Engineering 10 6%
Chemistry 9 6%
Chemical Engineering 8 5%
Other 11 7%
Unknown 51 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 November 2022.
All research outputs
#7,778,730
of 25,374,917 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#527
of 1,578 outputs
Outputs of similar age
#108,847
of 327,216 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#15
of 52 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 66% 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 327,216 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 66% of its contemporaries.
We're also able to compare this research output to 52 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 69% of its contemporaries.