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Elucidating and reprogramming Escherichia coli metabolisms for obligate anaerobic n-butanol and isobutanol production

Overview of attention for article published in Applied Microbiology and Biotechnology, June 2012
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2 Wikipedia pages

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42 Dimensions

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mendeley
75 Mendeley
Title
Elucidating and reprogramming Escherichia coli metabolisms for obligate anaerobic n-butanol and isobutanol production
Published in
Applied Microbiology and Biotechnology, June 2012
DOI 10.1007/s00253-012-4197-7
Pubmed ID
Authors

Cong T. Trinh

Abstract

Elementary mode (EM) analysis based on the constraint-based metabolic network modeling was applied to elucidate and compare complex fermentative metabolisms of Escherichia coli for obligate anaerobic production of n-butanol and isobutanol. The result shows that the n-butanol fermentative metabolism was NADH-deficient, while the isobutanol fermentative metabolism was NADH redundant. E. coli could grow and produce n-butanol anaerobically as the sole fermentative product but not achieve the maximum theoretical n-butanol yield. In contrast, for the isobutanol fermentative metabolism, E. coli was required to couple with either ethanol- or succinate-producing pathway to recycle NADH. To overcome these "defective" metabolisms, EM analysis was implemented to reprogram the native fermentative metabolism of E. coli for optimized anaerobic production of n-butanol and isobutanol through multiple gene deletion (~8-9 genes), addition (~6-7 genes), up- and downexpression (~6-7 genes), and cofactor engineering (e.g., NADH, NADPH). The designed strains were forced to couple both growth and anaerobic production of n-butanol and isobutanol, which is a useful characteristic to enhance biofuel production and tolerance through metabolic pathway evolution. Even though the n-butanol and isobutanol fermentative metabolisms were quite different, the designed strains could be engineered to have identical metabolic flux distribution in "core" metabolic pathways mainly supporting cell growth and maintenance. Finally, the model prediction in elucidating and reprogramming the native fermentative metabolism of E. coli for obligate anaerobic production of n-butanol and isobutanol was validated with published experimental data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 2 3%
Portugal 1 1%
Iran, Islamic Republic of 1 1%
Canada 1 1%
Unknown 68 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 41%
Researcher 17 23%
Professor > Associate Professor 5 7%
Student > Bachelor 4 5%
Professor 3 4%
Other 6 8%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 47%
Engineering 12 16%
Biochemistry, Genetics and Molecular Biology 9 12%
Chemical Engineering 5 7%
Environmental Science 1 1%
Other 4 5%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2019.
All research outputs
#8,022,830
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#2,748
of 8,034 outputs
Outputs of similar age
#56,974
of 169,641 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#39
of 90 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 36th percentile – i.e., 36% 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 169,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.