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A synbio approach for selection of highly expressed gene variants in Gram-positive bacteria

Overview of attention for article published in Microbial Cell Factories, March 2018
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Title
A synbio approach for selection of highly expressed gene variants in Gram-positive bacteria
Published in
Microbial Cell Factories, March 2018
DOI 10.1186/s12934-018-0886-y
Pubmed ID
Authors

Roberto Ferro, Maja Rennig, Cristina Hernández-Rollán, Daniel O. Daley, Morten H. H. Nørholm

Abstract

The market for recombinant proteins is on the rise, and Gram-positive strains are widely exploited for this purpose. Bacillus subtilis is a profitable host for protein production thanks to its ability to secrete large amounts of proteins, and Lactococcus lactis is an attractive production organism with a long history in food fermentation. We have developed a synbio approach for increasing gene expression in two Gram-positive bacteria. First of all, the gene of interest was coupled to an antibiotic resistance gene to create a growth-based selection system. We then randomised the translation initiation region (TIR) preceding the gene of interest and selected clones that produced high protein titres, as judged by their ability to survive on high concentrations of antibiotic. Using this approach, we were able to significantly increase production of two industrially relevant proteins; sialidase in B. subtilis and tyrosine ammonia lyase in L. lactis. Gram-positive bacteria are widely used to produce industrial enzymes. High titres are necessary to make the production economically feasible. The synbio approach presented here is a simple and inexpensive way to increase protein titres, which can be carried out in any laboratory within a few days. It could also be implemented as a tool for applications beyond TIR libraries, such as screening of synthetic, homologous or domain-shuffled genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Bachelor 9 21%
Researcher 5 12%
Student > Master 4 10%
Other 1 2%
Other 0 0%
Unknown 13 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 26%
Agricultural and Biological Sciences 7 17%
Chemistry 3 7%
Chemical Engineering 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 18 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 May 2018.
All research outputs
#6,841,530
of 24,797,973 outputs
Outputs from Microbial Cell Factories
#443
of 1,765 outputs
Outputs of similar age
#112,819
of 337,828 outputs
Outputs of similar age from Microbial Cell Factories
#13
of 40 outputs
Altmetric has tracked 24,797,973 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,765 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 337,828 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 66% of its contemporaries.
We're also able to compare this research output to 40 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.