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fabH deletion increases DHA production in Escherichia coli expressing Pfa genes

Overview of attention for article published in Microbial Cell Factories, June 2018
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Title
fabH deletion increases DHA production in Escherichia coli expressing Pfa genes
Published in
Microbial Cell Factories, June 2018
DOI 10.1186/s12934-018-0928-5
Pubmed ID
Authors

Laura Giner-Robles, Beatriz Lázaro, Fernando de la Cruz, Gabriel Moncalián

Abstract

Some marine bacteria, such as Moritella marina, produce the nutraceutical docosahexaenoic acid (DHA) thanks to a specific enzymatic complex called Pfa synthase. Escherichia coli heterologously expressing the pfa gene cluster from M. marina also produces DHA. The aim of this study was to find genetic or metabolic conditions to increase DHA production in E. coli. First, we analysed the effect of the antibiotic cerulenin, showing that DHA production increased twofold. Then, we tested a series of single gene knockout mutations affecting fatty acid biosynthesis, in order to optimize the synthesis of DHA. The most effective mutant, fabH, showed a threefold increase compared to wild type strain. The combination of cerulenin inhibition and fabH deletion rendered a 6.5-fold improvement compared to control strain. Both strategies seem to have the same mechanism of action, in which fatty acid synthesis via the canonical pathway (fab pathway) is affected in its first catalytic step, which allows the substrates to be used by the heterologous pathway to synthesize DHA. DHA-producing E. coli strain that carries a fabH gene deletion boosts DHA production by tuning down the competing canonical biosynthesis pathway. Our approach can be used for optimization of DHA production in different organisms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 27%
Student > Bachelor 3 12%
Student > Ph. D. Student 3 12%
Researcher 3 12%
Student > Doctoral Student 2 8%
Other 2 8%
Unknown 6 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 46%
Agricultural and Biological Sciences 5 19%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Environmental Science 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 6 23%
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 06 October 2018.
All research outputs
#20,520,426
of 23,088,369 outputs
Outputs from Microbial Cell Factories
#1,380
of 1,618 outputs
Outputs of similar age
#288,643
of 328,957 outputs
Outputs of similar age from Microbial Cell Factories
#21
of 27 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,618 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.