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Modulating the import of medium-chain alkanes in E. coli through tuned expression of FadL

Overview of attention for article published in Journal of Biological Engineering, April 2016
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

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Title
Modulating the import of medium-chain alkanes in E. coli through tuned expression of FadL
Published in
Journal of Biological Engineering, April 2016
DOI 10.1186/s13036-016-0026-3
Pubmed ID
Authors

Toby P. Call, M. Kalim Akhtar, Frank Baganz, Chris Grant

Abstract

In recent years, there have been intensive efforts to develop synthetic microbial platforms for the production, biosensing and bio-remediation of fossil fuel constituents such as alkanes. Building predictable engineered systems for these applications will require the ability to tightly control and modulate the rate of import of alkanes into the host cell. The native components responsible for the import of alkanes within these systems have yet to be elucidated. To shed further insights on this, we used the AlkBGT alkane monooxygenase complex from Pseudomonas putida GPo1 as a reporter system for assessing alkane import in Escherichia coli. Two native E. coli transporters, FadL and OmpW, were evaluated for octane import given their proven functionality in the uptake of fatty acids along with their structural similarity to the P. putida GPo1 alkane importer, AlkL. Octane import was removed with deletion of fadL, but was restored by complementation with a fadL-encoding plasmid. Furthermore, tuned overexpression of FadL increased the rate of alkane import by up to 4.5- fold. A FadL deletion strain displayed a small but significant degree of tolerance toward hexane and octane relative to the wild type, while the responsiveness of the well-known alkane biosensor, AlkS, toward octane and decane was strongly reduced by 2.7- and 2.9-fold, respectively. We unequivocally show for the first time that FadL serves as the major route for medium-chain alkane import in E. coli. The experimental approaches used within this study, which include an enzyme-based reporter system and a fluorescent alkane biosensor for quantification and real-time monitoring of alkane import, could be employed as part of an engineering toolkit for optimizing biological systems that depend on the uptake of alkanes. Thus, the findings will be particularly useful for biological applications such as bioremediation and biomanufacturing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
China 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 9 19%
Student > Master 9 19%
Professor > Associate Professor 3 6%
Student > Bachelor 3 6%
Other 7 15%
Unknown 4 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 38%
Agricultural and Biological Sciences 14 29%
Engineering 5 10%
Chemistry 3 6%
Chemical Engineering 2 4%
Other 3 6%
Unknown 3 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 April 2016.
All research outputs
#13,372,303
of 23,567,572 outputs
Outputs from Journal of Biological Engineering
#150
of 276 outputs
Outputs of similar age
#140,646
of 302,459 outputs
Outputs of similar age from Journal of Biological Engineering
#2
of 3 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 276 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 44th percentile – i.e., 44% 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 302,459 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 52% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.