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Engineering of a high lipid producing Yarrowia lipolytica strain

Overview of attention for article published in Biotechnology for Biofuels, January 2016
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1 tweeter
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1 Google+ user

Citations

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98 Dimensions

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192 Mendeley
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Title
Engineering of a high lipid producing Yarrowia lipolytica strain
Published in
Biotechnology for Biofuels, January 2016
DOI 10.1186/s13068-016-0492-3
Pubmed ID
Authors

Friedlander, Jonathan, Tsakraklides, Vasiliki, Kamineni, Annapurna, Greenhagen, Emily H, Consiglio, Andrew L, MacEwen, Kyle, Crabtree, Donald V, Afshar, Jonathan, Nugent, Rebecca L, Hamilton, Maureen A, Joe Shaw, A, South, Colin R, Stephanopoulos, Gregory, Brevnova, Elena E, Jonathan Friedlander, Vasiliki Tsakraklides, Annapurna Kamineni, Emily H. Greenhagen, Andrew L. Consiglio, Kyle MacEwen, Donald V. Crabtree, Jonathan Afshar, Rebecca L. Nugent, Maureen A. Hamilton, A. Joe Shaw, Colin R. South, Gregory Stephanopoulos, Elena E. Brevnova

Abstract

Microbial lipids are produced by many oleaginous organisms including the well-characterized yeast Yarrowia lipolytica, which can be engineered for increased lipid yield by up-regulation of the lipid biosynthetic pathway and down-regulation or deletion of competing pathways. We describe a strain engineering strategy centered on diacylglycerol acyltransferase (DGA) gene overexpression that applied combinatorial screening of overexpression and deletion genetic targets to construct a high lipid producing yeast biocatalyst. The resulting strain, NS432, combines overexpression of a heterologous DGA1 enzyme from Rhodosporidium toruloides, a heterlogous DGA2 enzyme from Claviceps purpurea, and deletion of the native TGL3 lipase regulator. These three genetic modifications, selected for their effect on lipid production, enabled a 77 % lipid content and 0.21 g lipid per g glucose yield in batch fermentation. In fed-batch glucose fermentation NS432 produced 85 g/L lipid at a productivity of 0.73 g/L/h. The yields, productivities, and titers reported in this study may further support the applied goal of cost-effective, large -scale microbial lipid production for use as biofuels and biochemicals.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 192 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 1%
United States 1 <1%
Unknown 189 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 21%
Researcher 36 19%
Student > Master 26 14%
Student > Bachelor 19 10%
Student > Doctoral Student 13 7%
Other 26 14%
Unknown 32 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 28%
Biochemistry, Genetics and Molecular Biology 49 26%
Engineering 17 9%
Chemical Engineering 10 5%
Environmental Science 8 4%
Other 16 8%
Unknown 39 20%

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 18 April 2016.
All research outputs
#3,690,700
of 7,565,447 outputs
Outputs from Biotechnology for Biofuels
#275
of 598 outputs
Outputs of similar age
#137,090
of 273,216 outputs
Outputs of similar age from Biotechnology for Biofuels
#14
of 22 outputs
Altmetric has tracked 7,565,447 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 598 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 49th percentile – i.e., 49% 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 273,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.