U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights


Optimizing Microbial Bioproduction of Fuels
Published: December 14, 2015
Posted: April 27, 2016

Identifying factors that contribute to cell-to-cell variability in lipid production.

The Science
Microbial strains engineered to produce a large amount of lipids hold tremendous promise for the production of biofuels and chemicals. A recent study shed light on underlying causes of microbial cell-to-cell variability in lipid production.

The Impact
The findings revealed that conditions within cells and in the surrounding environment interact to contribute to variability in lipid production. The new insights could lead to strategies that optimize the use of engineered microbial strains for the production of important biofuels and chemicals.

Summary
The microbial production of biofuels and chemicals often does not reach the theoretical maximum yield, even for engineered strains, thereby limiting the reliability of large-scale bioprocessing. To understand the limitations, scientists have started to investigate the reasons for phenotypic diversity of cells within a culture. A team of scientists from the University of Idaho, Environmental Molecular Sciences Laboratory (EMSL), and Massachusetts Institute of Technology used advanced microfluidics combined with Epifluorescent and Raman microscopy at EMSL to study differences in the ability of individual cells of low-yield and high-yield strains of the fungus Yarrowia lipolytica to produce lipids. The researchers found lipid production fluctuated sporadically with time in both strains. The researchers labeled this newly discovered phenomenon “bioprocessing noise.” Furthermore, the high-yield fungal strain showed reduced bioprocessing noise in lipid production than the low-yield fungal strain. This finding indicates differences in the activity of key metabolic genes that contribute to bioprocessing noise and thus cellular diversity in lipid production. Moreover, this variability was amplified by environmental factors such as chemical gradients of nutrients or waste products surrounding cells. Taken together, these findings show extracellular and intracellular fluctuations interact to place an upper limit on the reliability of lipid production and total yield of lipids. This research could pave the way for new strategies to improve the reliability and efficiency of using engineered microbial strains for the production of lipids that could then be converted to valuable biofuels or chemicals.

BER PM Contact
Paul Bayer, SC-23.1, 301-903-5324

PI Contacts
Andreas Vasdekis
University of Idaho
andreasv@uidaho.edu

Gregory Stephanopoulos
Massachusetts Institute of Technology
gregstep@mit.edu

Funding
This work was supported by the U.S. Department of Energy’s Office of Science, Office of Biological and Environmental Research, including support of EMSL, a DOE Office of Science user facility; National Institute of General Medical Sciences of the National Institutes of Health; and a Linus Pauling Fellowship from Pacific Northwest National Laboratory.

Publications
Vasdekis, A. E., A. M. Silverman, and G. Stephanopoulos. 2015. “Origins of Cell-to-Cell Bioprocessing Diversity and Implications of the Extracellular Environment Revealed at the Single-Cell Level,” Nature Scientific Reports 5(17689), DOI: 10.1038/srep17689. (Reference link)

Related Links
EMSL article

Topic Areas:

  • Research Area: DOE Environmental Molecular Sciences Laboratory (EMSL)
  • Research Area: Microbes and Communities
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: Biosystems Design

Division: SC-23.1 Climate and Environmental Sciences Division, BER

 

BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]

May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]

May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]

May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]

Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]

List all highlights (possible long download time)