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Functional overexpression and characterization of lipogenesis-related genes in the oleaginous yeast Yarrowia lipolytica

Overview of attention for article published in Applied Microbiology and Biotechnology, February 2016
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Title
Functional overexpression and characterization of lipogenesis-related genes in the oleaginous yeast Yarrowia lipolytica
Published in
Applied Microbiology and Biotechnology, February 2016
DOI 10.1007/s00253-016-7376-0
Pubmed ID
Authors

Andrew M. Silverman, Kangjian Qiao, Peng Xu, Gregory Stephanopoulos

Abstract

Single cell oil (SCO) is an attractive energy source due to scalability, utilization of low-cost renewable feedstocks, and type of product(s) made. Engineering strains capable of producing high lipid titers and yields is crucial to the economic viability of these processes. However, lipid synthesis in cells is a complex phenomenon subject to multiple layers of regulation, making gene target identification a challenging task. In this study, we aimed to identify genes in the oleaginous yeast Yarrowia lipolytica whose overexpression enhances lipid production by this organism. To this end, we examined the effect of the overexpression of a set of 44 native genes on lipid production in Y. lipolytica, including those involved in glycerolipid synthesis, fatty acid synthesis, central carbon metabolism, NADPH generation, regulation, and metabolite transport and characterized each resulting strain's ability to produce lipids growing on both glucose and acetate as a sole carbon source. Our results suggest that a diverse subset of genes was effective at individually influencing lipid production in Y. lipolytica, sometimes in a substrate-dependent manner. The most productive strain on glucose overexpressed the diacylglycerol acyltransferase DGA2 gene, increasing lipid titer, cellular content, and yield by 236, 165, and 246 %, respectively, over our control strain. On acetate, our most productive strain overexpressed the acylglycerol-phosphate acyltransferase SLC1 gene, with a lipid titer, cellular content, and yield increase of 99, 91, and 151 %, respectively, over the control strain. Aside from genes encoding enzymes that directly catalyze the reactions of lipid synthesis, other ways by which lipogenesis was increased in these cells include overexpressing the glycerol-3-phosphate dehydrogenase (GPD1) gene to increase production of glycerol head groups and overexpressing the 6-phosphogluconolactonase (SOL3) gene from the oxidative pentose phosphate pathway to increase NADPH availability for fatty acid synthesis. Taken together, our study demonstrates that the overall kinetics of microbial lipid synthesis is sensitive to a wide variety of factors. Fully optimizing a strain for single cell oil processes could involve manipulating and balancing many of these factors, and, due to mechanistic differences by which each gene product investigated here impacts lipid synthesis, there is a high likelihood that many of these genes will work synergistically to further increase lipid production when simultaneously overexpressed.

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Mendeley readers

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Geographical breakdown

Country Count As %
United States 2 1%
Sweden 1 <1%
Argentina 1 <1%
Unknown 141 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 19%
Student > Master 24 17%
Researcher 16 11%
Student > Bachelor 12 8%
Student > Doctoral Student 11 8%
Other 14 10%
Unknown 41 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 26%
Biochemistry, Genetics and Molecular Biology 32 22%
Chemical Engineering 9 6%
Engineering 8 6%
Computer Science 2 1%
Other 8 6%
Unknown 48 33%
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 02 March 2016.
All research outputs
#18,922,529
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#6,246
of 8,034 outputs
Outputs of similar age
#207,395
of 302,405 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#82
of 132 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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 19th percentile – i.e., 19% 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 302,405 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.