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Genetic engineering of Arabidopsis to overproduce disinapoyl esters, potential lignin modification molecules

Overview of attention for article published in Biotechnology for Biofuels, February 2017
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Title
Genetic engineering of Arabidopsis to overproduce disinapoyl esters, potential lignin modification molecules
Published in
Biotechnology for Biofuels, February 2017
DOI 10.1186/s13068-017-0725-0
Pubmed ID
Authors

Shinyoung Lee, Huaping Mo, Jeong Im Kim, Clint Chapple

Abstract

Monolignol-like molecules can be integrated into lignin along with conventional monolignol units, and it has been shown that the incorporation of non-canonical subunits can be used to generate hydrolysable lignin by introduction of ester linkages into the polymer and that this type of lignin is more easily removable. Disinapoyl esters (DSEs), which to some degree resemble the monolignol sinapyl alcohol, may be promising lignin modifying units for this purpose. As a first step toward determining whether this goal is achievable, we manipulated metabolic flux in Arabidopsis to increase the amounts of DSEs by overexpressing sinapoylglucose:sinapoylglucose sinapoyltransferase (SST) which produces two main DSEs, 1,2-disinapoylglucose, and another compound we identify in this report as 3,4-disinapoyl-fructopyranose. We succeeded in overproducing DSEs by introducing an SST-overexpression construct into the sinapoylglucose accumulator1 (sng1-6) mutant (SST-OE sng1-6) which lacks several of the enzymes that would otherwise compete for the SST substrate, sinapoyglucose. Introduction of cinnamyl alcohol dehydrogenase-c (cad-c) and cad-d mutations into the SST-OE sng1-6 line further increased DSEs. Surprisingly, a reduced epidermal fluorescence (ref) phenotype was observed when SST-OE sng1-6 plants were evaluated under UV light, which appears to have been induced by the sequestration of DSEs into subvacuolar compartments. Although we successfully upregulated the accumulation of the target DSEs, we did not find any evidence showing the integration of DSEs into the cell wall. Our results suggest that although phenylpropanoid metabolic engineering is possible, a deeper understanding of sequestration and transport mechanisms will be necessary for successful lignin engineering through this route.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 15%
Student > Bachelor 3 11%
Student > Master 3 11%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Other 3 11%
Unknown 10 37%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 26%
Biochemistry, Genetics and Molecular Biology 6 22%
Psychology 1 4%
Chemistry 1 4%
Design 1 4%
Other 0 0%
Unknown 11 41%

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 22 March 2018.
All research outputs
#7,043,236
of 12,695,728 outputs
Outputs from Biotechnology for Biofuels
#469
of 972 outputs
Outputs of similar age
#130,230
of 274,429 outputs
Outputs of similar age from Biotechnology for Biofuels
#9
of 17 outputs
Altmetric has tracked 12,695,728 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 972 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 50% 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 274,429 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 51% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.