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

BER Research Highlights


Finding Rice Stress Response Genes to Improve Bioenergy Crops
Published: February 16, 2010
Posted: March 04, 2010

Production of fuels from dedicated perennial grass crops has the potential to decrease dependence on oil imports and release of climate-changing, greenhouse gasses. However, dedicated biofuel crops will need to be grown on large scales on marginal land over many years. Thus it will be necessary to utilize genetically improved varieties that can withstand diverse environmental stresses, such as salinity, flooding and drought, which are major constraints to crop production in many areas of the world. Researchers at the DOE Joint BioEnergy Institute (JBEI) have now developed a gene expression profiling approach to identify novel genes that confer tolerance to flooding stress in rice. Rice is used as a model for studies of perennial grasses such as switchgrass, one of the most promising of the grasses for large-scale production of biofuels. A set of 12 genes was identified that are regulated by a single gene that has an effect on several flooding response pathways. These genes can be classified into three functional groups each involved in a different metabolic response to stress. The research is published in the current issue of Plant Physiology.

Reference: Jung K-H, Seo Y-S, Walia H, Cao P, Fukao T, Canlas PE, Amonpant F, Bailey-Serres J, and Ronald PC. 2010. "The Submergence Tolerance Regulator Sub1A Mediates Stress-responsive Expression of AP2/ERF Transcription Factors," Plant Physiol January 27, 2010; 10.1104/pp.109.152157.

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

  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Plant Systems and Feedstocks, Plant-Microbe Interactions
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: DOE Bioenergy Research Centers (BRC)

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)