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Engineering and adaptive evolution of Escherichia coli for d-lactate fermentation reveals GatC as a xylose transporter

Overview of attention for article published in Metabolic Engineering, August 2012
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  • Good Attention Score compared to outputs of the same age (69th percentile)

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3 patents

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Title
Engineering and adaptive evolution of Escherichia coli for d-lactate fermentation reveals GatC as a xylose transporter
Published in
Metabolic Engineering, August 2012
DOI 10.1016/j.ymben.2012.07.007
Pubmed ID
Authors

José Utrilla, Cuauhtemoc Licona-Cassani, Esteban Marcellin, Guillermo Gosset, Lars K. Nielsen, Alfredo Martinez

Abstract

Despite the abundance of xylose in nature, the production of chemicals from C5 sugars remains challenging in metabolic engineering. By deleting xylFGH genes and using adaptive evolution, an efficient E. coli strain capable of producing D-lactate from xylose was engineered. Quantitative proteomics and genome sequencing were used to understand the new phenotype and the metabolic limitations of xylose conversion to D-lactate. Proteomics identified major changes in enzyme concentration in the glycolytic and tricarboxylic acid pathways. Whole genome sequencing of the evolved strain identified a point mutation in the gatC gene, which resulted in a change from serine to leucine at position 184 of the GatC protein. The knockout of gatC in a number of strains and the insertion of the mutation in the non-evolved strain confirmed its activity as a xylose transporter and demonstrated that the mutation is responsible for the high xylose consumption phenotype in the evolved strain. The newly found xylose transporter is a candidate for future strain engineering for converting C5-C6 syrups into valuable chemicals.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
India 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 107 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 22%
Student > Master 19 17%
Researcher 15 14%
Student > Bachelor 15 14%
Professor 8 7%
Other 16 14%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 32%
Biochemistry, Genetics and Molecular Biology 28 25%
Engineering 11 10%
Chemical Engineering 6 5%
Chemistry 4 4%
Other 6 5%
Unknown 21 19%
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 20 October 2020.
All research outputs
#7,355,005
of 25,371,288 outputs
Outputs from Metabolic Engineering
#762
of 1,463 outputs
Outputs of similar age
#51,223
of 180,068 outputs
Outputs of similar age from Metabolic Engineering
#12
of 15 outputs
Altmetric has tracked 25,371,288 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 1,463 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 46th percentile – i.e., 46% 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 180,068 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 69% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.