Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)

Gregory Stephanopoulos; James Liao; Jens Nielsen; Scott Baker; Andreas Vasdekis; Adrian Fay; Kangjian Qiao; Andrew Silverman; Nian Liu; Peng Xu; Thomas Wasylenko; Hongjuan Liu; Sagar Chakraborty; Jimmy Lafontaine Rivera; Yun Lee; Po-Wei Chen; Matthew Theisen; Eduard Kerkhoven; Michael Gossing; Kyle Pomraning; Erin Bredeweg; Ziyu Dai; Sue Karagiosis

doi:10.2172/1821178

Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)

Gregory Stephanopoulos, James Liao, Jens Nielsen, Scott Baker, Andreas Vasdekis, Adrian Fay, Kangjian Qiao, Andrew Silverman, Nian Liu, Peng Xu, Thomas Wasylenko, Hongjuan Liu, Sagar Chakraborty, Jimmy Lafontaine Rivera, Yun Lee, Po-Wei Chen, Matthew Theisen, Eduard Kerkhoven, Michael Gossing, Kyle PomraningErin Bredeweg, Ziyu Dai, Sue Karagiosis

Research output: Book/Report › Commissioned report

Abstract

The work funded under this DOE genomics grant focused on characterizing, modifying and developing genetic engineering tools for the then very promising but under-characterized oleaginous yeast Yarrowia lipolytica. To-date, all biodiesel production facilities rely on vegetable oils and animal fats as feedstocks, which are very limited. Nature, on the other hand, is very well equipped for making carbohydrates, which are very plentiful throughout the world and rather well distributed in various forms. While numerous (biochemical and thermochemical) technologies exist presently for carbohydrate conversion to alcohols, there is none available for the cost-efficient production of lipids from carbohydrate feedstocks. Such a technology would have wide-ranging implications in land use, renewable resource utilization and production of transportation fuels with minimal carbon footprint. The global research objectives of this award were to develop tools for cell-wide measurement of metabolites and lipids that, along with transcriptional data, will allow the construction of genome-scale metabolic models, as well as models of transcriptional regulation, that will guide the further metabolic engineering of Yarrowia lipolytica. To achieve these goals, a very strong international and diverse team consisting of research groups at MIT, UCLA, PNNL and Chalmers University was put together, whose specific goals, achievements and breakthroughs are included in this report.

Original language	English
Publisher	Office of Scientific and Technical Information (OSTI)
DOIs	https://doi.org/10.2172/1821178
State	Submitted - 20 Sep 2021
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2172/1821178

Cite this

Stephanopoulos, G., Liao, J., Nielsen, J., Baker, S., Vasdekis, A., Fay, A., Qiao, K., Silverman, A., Liu, N., Xu, P., Wasylenko, T., Liu, H., Chakraborty, S., Lafontaine Rivera, J., Lee, Y., Chen, P.-W., Theisen, M., Kerkhoven, E., Gossing, M., ... Karagiosis, S. (2021). Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report). Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1821178

@book{73d5e46ba8484aeebdf187f05588465b,

title = "Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)",

abstract = "The work funded under this DOE genomics grant focused on characterizing, modifying and developing genetic engineering tools for the then very promising but under-characterized oleaginous yeast Yarrowia lipolytica. To-date, all biodiesel production facilities rely on vegetable oils and animal fats as feedstocks, which are very limited. Nature, on the other hand, is very well equipped for making carbohydrates, which are very plentiful throughout the world and rather well distributed in various forms. While numerous (biochemical and thermochemical) technologies exist presently for carbohydrate conversion to alcohols, there is none available for the cost-efficient production of lipids from carbohydrate feedstocks. Such a technology would have wide-ranging implications in land use, renewable resource utilization and production of transportation fuels with minimal carbon footprint. The global research objectives of this award were to develop tools for cell-wide measurement of metabolites and lipids that, along with transcriptional data, will allow the construction of genome-scale metabolic models, as well as models of transcriptional regulation, that will guide the further metabolic engineering of Yarrowia lipolytica. To achieve these goals, a very strong international and diverse team consisting of research groups at MIT, UCLA, PNNL and Chalmers University was put together, whose specific goals, achievements and breakthroughs are included in this report.",

author = "Gregory Stephanopoulos and James Liao and Jens Nielsen and Scott Baker and Andreas Vasdekis and Adrian Fay and Kangjian Qiao and Andrew Silverman and Nian Liu and Peng Xu and Thomas Wasylenko and Hongjuan Liu and Sagar Chakraborty and {Lafontaine Rivera}, Jimmy and Yun Lee and Po-Wei Chen and Matthew Theisen and Eduard Kerkhoven and Michael Gossing and Kyle Pomraning and Erin Bredeweg and Ziyu Dai and Sue Karagiosis",

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doi = "10.2172/1821178",

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publisher = "Office of Scientific and Technical Information (OSTI)",

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Stephanopoulos, G, Liao, J, Nielsen, J, Baker, S, Vasdekis, A, Fay, A, Qiao, K, Silverman, A, Liu, N, Xu, P, Wasylenko, T, Liu, H, Chakraborty, S, Lafontaine Rivera, J, Lee, Y, Chen, P-W, Theisen, M, Kerkhoven, E, Gossing, M, Pomraning, K, Bredeweg, E, Dai, Z & Karagiosis, S 2021, Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report). Office of Scientific and Technical Information (OSTI). https://doi.org/10.2172/1821178

TY - BOOK

T1 - Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)

AU - Stephanopoulos, Gregory

AU - Liao, James

AU - Nielsen, Jens

AU - Baker, Scott

AU - Vasdekis, Andreas

AU - Fay, Adrian

AU - Qiao, Kangjian

AU - Silverman, Andrew

AU - Liu, Nian

AU - Xu, Peng

AU - Wasylenko, Thomas

AU - Liu, Hongjuan

AU - Chakraborty, Sagar

AU - Lafontaine Rivera, Jimmy

AU - Lee, Yun

AU - Chen, Po-Wei

AU - Theisen, Matthew

AU - Kerkhoven, Eduard

AU - Gossing, Michael

AU - Pomraning, Kyle

AU - Bredeweg, Erin

AU - Dai, Ziyu

AU - Karagiosis, Sue

PY - 2021/9/20

Y1 - 2021/9/20

N2 - The work funded under this DOE genomics grant focused on characterizing, modifying and developing genetic engineering tools for the then very promising but under-characterized oleaginous yeast Yarrowia lipolytica. To-date, all biodiesel production facilities rely on vegetable oils and animal fats as feedstocks, which are very limited. Nature, on the other hand, is very well equipped for making carbohydrates, which are very plentiful throughout the world and rather well distributed in various forms. While numerous (biochemical and thermochemical) technologies exist presently for carbohydrate conversion to alcohols, there is none available for the cost-efficient production of lipids from carbohydrate feedstocks. Such a technology would have wide-ranging implications in land use, renewable resource utilization and production of transportation fuels with minimal carbon footprint. The global research objectives of this award were to develop tools for cell-wide measurement of metabolites and lipids that, along with transcriptional data, will allow the construction of genome-scale metabolic models, as well as models of transcriptional regulation, that will guide the further metabolic engineering of Yarrowia lipolytica. To achieve these goals, a very strong international and diverse team consisting of research groups at MIT, UCLA, PNNL and Chalmers University was put together, whose specific goals, achievements and breakthroughs are included in this report.

AB - The work funded under this DOE genomics grant focused on characterizing, modifying and developing genetic engineering tools for the then very promising but under-characterized oleaginous yeast Yarrowia lipolytica. To-date, all biodiesel production facilities rely on vegetable oils and animal fats as feedstocks, which are very limited. Nature, on the other hand, is very well equipped for making carbohydrates, which are very plentiful throughout the world and rather well distributed in various forms. While numerous (biochemical and thermochemical) technologies exist presently for carbohydrate conversion to alcohols, there is none available for the cost-efficient production of lipids from carbohydrate feedstocks. Such a technology would have wide-ranging implications in land use, renewable resource utilization and production of transportation fuels with minimal carbon footprint. The global research objectives of this award were to develop tools for cell-wide measurement of metabolites and lipids that, along with transcriptional data, will allow the construction of genome-scale metabolic models, as well as models of transcriptional regulation, that will guide the further metabolic engineering of Yarrowia lipolytica. To achieve these goals, a very strong international and diverse team consisting of research groups at MIT, UCLA, PNNL and Chalmers University was put together, whose specific goals, achievements and breakthroughs are included in this report.

U2 - 10.2172/1821178

DO - 10.2172/1821178

M3 - 委托报告

BT - Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)

PB - Office of Scientific and Technical Information (OSTI)

ER -

Optimizing Oil Production in Oleaginous Yeast by Cell-Wide Measurements and Genome-Based Models (Final Report)

Abstract

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