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Metabolic engineering of Escherichia coli to high efficient synthesis phenylacetic acid from phenylalanine

Overview of attention for article published in AMB Express, May 2017
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2 X users

Citations

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Readers on

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29 Mendeley
Title
Metabolic engineering of Escherichia coli to high efficient synthesis phenylacetic acid from phenylalanine
Published in
AMB Express, May 2017
DOI 10.1186/s13568-017-0407-0
Pubmed ID
Authors

Lihua Zhang, Qian Liu, Hong Pan, Xun Li, Daoyi Guo

Abstract

Phenylacetic acid (PAA) is a fine chemical with a high industrial demand for its widespread uses. Whereas, microorganic synthesis of PAA is impeded by the formation of by-product phenethyl alcohol due to quick, endogenous, and superfluous conversion of aldehydes to their corresponding alcohols, which resulted in less conversation of PAA from aldehydes. In this study, an Escherichia coli K-12 MG1655 strain with reduced aromatic aldehyde reduction (RARE) that does duty for a platform for aromatic aldehyde biosynthesis was used to prompt more PAA biosynthesis. We establish a microbial biosynthetic pathway for PAA production from the simple substrate phenylalanine in E. coli with heterologous coexpression of aminotransferase (ARO8), keto acid decarboxylase (KDC) and aldehyde dehydrogenase H (AldH) gene. It was found that PAA transformation yield was up to ~94% from phenylalanine in E. coli and there was no by-product phenethyl alcohol was detected. Our results reveal the high efficiency of the RARE strain for production of PAA and indicate the potential industrial applicability of this microbial platform for PAA biosynthesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 31%
Researcher 8 28%
Student > Master 3 10%
Student > Bachelor 2 7%
Professor 1 3%
Other 2 7%
Unknown 4 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 28%
Agricultural and Biological Sciences 5 17%
Chemistry 4 14%
Engineering 2 7%
Unspecified 1 3%
Other 2 7%
Unknown 7 24%
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 30 May 2017.
All research outputs
#14,347,579
of 22,974,684 outputs
Outputs from AMB Express
#302
of 1,238 outputs
Outputs of similar age
#175,358
of 313,664 outputs
Outputs of similar age from AMB Express
#18
of 67 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,238 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 72% 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 313,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 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 70% of its contemporaries.