| Title |
A molecular genetic toolbox for Yarrowia lipolytica
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, January 2017
|
| DOI | 10.1186/s13068-016-0687-7 |
| Pubmed ID | |
| Authors |
Erin L. Bredeweg, Kyle R. Pomraning, Ziyu Dai, Jens Nielsen, Eduard J. Kerkhoven, Scott E. Baker |
| Abstract |
Yarrowia lipolytica is an ascomycete yeast used in biotechnological research for its abilities to secrete high concentrations of proteins and accumulate lipids. Genetic tools have been made in a variety of backgrounds with varying similarity to a comprehensively sequenced strain. We have developed a set of genetic and molecular tools in order to expand capabilities of Y. lipolytica for both biological research and industrial bioengineering applications. In this work, we generated a set of isogenic auxotrophic strains with decreased non-homologous end joining for targeted DNA incorporation. Genome sequencing, assembly, and annotation of this genetic background uncovers previously unidentified genes in Y. lipolytica. To complement these strains, we constructed plasmids with Y. lipolytica-optimized superfolder GFP for targeted overexpression and fluorescent tagging. We used these tools to build the "Yarrowia lipolytica Cell Atlas," a collection of strains with endogenous fluorescently tagged organelles in the same genetic background, in order to define organelle morphology in live cells. These molecular and isogenetic tools are useful for live assessment of organelle-specific protein expression, and for localization of lipid biosynthetic enzymes or other proteins in Y. lipolytica. This work provides the Yarrowia community with tools for cell biology and metabolism research in Y. lipolytica for further development of biofuels and natural products. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Unknown | 170 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 40 | 23% |
| Student > Ph. D. Student | 31 | 18% |
| Student > Master | 25 | 15% |
| Student > Bachelor | 17 | 10% |
| Student > Doctoral Student | 9 | 5% |
| Other | 18 | 10% |
| Unknown | 32 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 64 | 37% |
| Agricultural and Biological Sciences | 33 | 19% |
| Engineering | 9 | 5% |
| Chemistry | 6 | 3% |
| Chemical Engineering | 5 | 3% |
| Other | 11 | 6% |
| Unknown | 44 | 26% |
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 30 January 2017.
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#22,760,732
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Outputs from Biotechnology for Biofuels and Bioproducts
#1,416
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Outputs of similar age
#363,122
of 422,339 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#49
of 51 outputs
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