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

BER Research Highlights


Using Mass Spectrometry to Localize Lipid Metabolites in Camelina Seeds
Published: August 05, 2013
Posted: February 07, 2014

Camelina sativa is a nonfood oilseed crop that, because of relatively low production costs and potential for use in a number of industrial applications, shows promise as a bioenergy feedstock. Additionally, the relative ease with which the plant can be genetically modified offers potential for altering the seed oil composition through engineering of the lipid and fatty acid metabolic pathways. To do this, however, it is important to understand how these pathways are regulated in different seed tissues. With funding from the Department of Energy’s Office of Science Genomic Science Program, researchers from the University of North Texas used mass spectrometry imaging techniques to show that the distribution of various lipid-related metabolites and precursors are specific to certain distinct tissues within the seed embryo. This high-resolution metabolite mapping in Camelina seeds can be used to reveal new insights into tissue-based variation and illustrates the importance of considering spatial heterogeneity when designing metabolic engineering strategies for manipulating seed lipid composition. This work will facilitate more refined and accurate targeting when engineering plants for optimal seed oil composition.
 
Reference: Horn, P. J., J. E. Silva, D. Anderson, J. Fuchs, L. Borisjuk, T. J. Nazarenus, V. Shulaev, E. B. Cahoon, and K. D. Chapman. 2013. “Imaging Heterogeneity of Membrane and Storage Lipids in Transgenic Camelina Sativa Seeds with Altered Fatty Acid Profiles,” The Plant Journal 76(1), 138 €"50. DOI:10.1111/tpj.12278. (Reference link)

Contact: Cathy Ronning, SC-23.2, (301) 903-9549
Topic Areas:

  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: Biosystems Design
  • Research Area: Research Technologies and Methodologies

Division: SC-23.2 Biological Systems Science 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)