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CRISPR-Cas9 for the genome engineering of cyanobacteria and succinate production

Overview of attention for article published in Metabolic Engineering, September 2016
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
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2 patents

Readers on

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283 Mendeley
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1 CiteULike
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Article details
Title
CRISPR-Cas9 for the genome engineering of cyanobacteria and succinate production
Published in
Metabolic Engineering, September 2016
DOI 10.1016/j.ymben.2016.09.006
Pubmed ID
Authors
Abstract

Cyanobacteria hold promise as a cell factory for producing biofuels and bio-derived chemicals, but genome engineering of cyanobacteria such as Synechococcus elongatus PCC 7942 poses challenges because of their oligoploidy nature and long-term instability of the introduced gene. CRISPR-Cas9 is a newly developed RNA-guided genome editing system, yet its application for cyanobacteria engineering has yet to be reported. Here we demonstrated that CRISPR-Cas9 system can effectively trigger programmable double strand break (DSB) at the chromosome of PCC 7942 and provoke cell death. With the co-transformation of template plasmid harboring the gene cassette and flanking homology arms, CRISPR-Cas9-mediated DSB enabled precise gene integration, ameliorated the homologous recombination efficiency and allowed the use of lower amount of template DNA and shorter homology arms. The CRISPR-Cas9-induced cell death imposed selective pressure and enhanced the chance of concomitant integration of gene cassettes into all chromosomes of PCC 7942, hence accelerating the process of obtaining homogeneous and stable recombinant strains. We further explored the feasibility of engineering cyanobacteria by CRISPR-Cas9-assisted simultaneous glgc knock-out and gltA/ppc knock-in, which improved the succinate titer to 435.0±35.0μg/L, an ≈11-fold increase when compared with that of the wild-type cells. These data altogether justify the use of CRISPR-Cas9 for genome engineering and manipulation of metabolic pathways in cyanobacteria.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 283 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Sweden 1 <1%
France 1 <1%
Unknown 281 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 46 16%
Student > Master 41 14%
Researcher 41 14%
Student > Bachelor 32 11%
Student > Doctoral Student 20 7%
Other 33 12%
Unknown 70 25%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 104 37%
Agricultural and Biological Sciences 65 23%
Chemical Engineering 9 3%
Engineering 8 3%
Environmental Science 5 2%
Other 16 6%
Unknown 76 27%
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 14 August 2020.
All research outputs
#10,874,828
of 33,276,949 outputs
Outputs from Metabolic Engineering
#1,071
of 1,723 outputs
Outputs of similar age
#115,762
of 327,359 outputs
Outputs of similar age from Metabolic Engineering
#18
of 28 outputs
Altmetric has tracked 33,276,949 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,723 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 36th percentile – i.e., 36% 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 327,359 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 63% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.