↓ Skip to main content

Engineering of a high lipid producing Yarrowia lipolytica strain

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, March 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
googleplus
1 Google+ user

Citations

dimensions_citation
129 Dimensions

Readers on

mendeley
250 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Engineering of a high lipid producing Yarrowia lipolytica strain
Published in
Biotechnology for Biofuels and Bioproducts, March 2016
DOI 10.1186/s13068-016-0492-3
Pubmed ID
Authors

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.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 250 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 247 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 19%
Researcher 40 16%
Student > Master 33 13%
Student > Bachelor 23 9%
Student > Doctoral Student 15 6%
Other 29 12%
Unknown 63 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 24%
Biochemistry, Genetics and Molecular Biology 60 24%
Engineering 18 7%
Chemical Engineering 13 5%
Environmental Science 8 3%
Other 17 7%
Unknown 74 30%
Attention Score in Context

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
#15,169,543
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#790
of 1,578 outputs
Outputs of similar age
#159,003
of 315,350 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#23
of 45 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 315,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.