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Engineering increased triacylglycerol accumulation in Saccharomyces cerevisiae using a modified type 1 plant diacylglycerol acyltransferase

Overview of attention for article published in Applied Microbiology and Biotechnology, December 2014
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Title
Engineering increased triacylglycerol accumulation in Saccharomyces cerevisiae using a modified type 1 plant diacylglycerol acyltransferase
Published in
Applied Microbiology and Biotechnology, December 2014
DOI 10.1007/s00253-014-6284-4
Pubmed ID
Authors

Michael S. Greer, Martin Truksa, Wei Deng, Shiu-Cheung Lung, Guanqun Chen, Randall J. Weselake

Abstract

Diacylglycerol acyltransferase (DGAT) catalyzes the acyl-CoA-dependent acylation of sn-1,2-diacylglycerol to produce triacylglycerol (TAG). This enzyme, which is critical to numerous facets of oilseed development, has been highlighted as a genetic engineering target to increase storage lipid production in microorganisms designed for biofuel applications. Here, four transcriptionally active DGAT1 genes were identified and characterized from the oil crop Brassica napus. Overexpression of each BnaDGAT1 in Saccharomyces cerevisiae increased TAG biosynthesis. Further studies showed that adding an N-terminal tag could mask the deleterious influence of the DGATs' native N-terminal sequences, resulting in increased in vivo accumulation of the polypeptides and an increase of up to about 150-fold in in vitro enzyme activity. The levels of TAG and total lipid fatty acids in S. cerevisiae producing the N-terminally tagged BnaDGAT1.b at 72 h were 53 and 28 % higher than those in cultures producing untagged BnaA.DGAT1.b, respectively. These modified DGATs catalyzed the synthesis of up to 453 mg fatty acid/L by this time point. The results will be of benefit in the biochemical analysis of recombinant DGAT1 produced through heterologous expression in yeast and offer a new approach to increase storage lipid content in yeast for industrial applications.

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Geographical breakdown

Country Count As %
Sweden 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Student > Master 7 15%
Researcher 6 13%
Student > Bachelor 5 11%
Professor > Associate Professor 3 6%
Other 5 11%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 40%
Biochemistry, Genetics and Molecular Biology 12 26%
Chemistry 3 6%
Medicine and Dentistry 1 2%
Chemical Engineering 1 2%
Other 0 0%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 December 2014.
All research outputs
#21,608,038
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,994
of 8,034 outputs
Outputs of similar age
#307,316
of 361,233 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#98
of 129 outputs
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So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.