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

BER Research Highlights

Genomics Improves Contaminant Transport Simulations
Published: March 09, 2009
Posted: March 27, 2009

Microbes profoundly affect the mobility of contaminants in the environment, but current transport models oversimplify predictions of microbial activity in situ. DOE-funded researchers at Pacific Northwest National Laboratory and the universities of Toronto and Massachusetts have coupled a genome-scale metabolic model of a uranium-reducing microorganism, Geobacter sulfurreducens, to the reactive transport code HYDROGEOCHEM to better predict the in situ bioremediation of uranium at the Rifle, Colorado, test site. This enabled the researchers to integrate field tests and laboratory investigations and to demonstrate important advances between current empirical methods of simulating microbial activity and the new genome-scale metabolic modeling approach. The new, genome-based approach better predicts the coupled physical, chemical, and biological processes influencing the mobility of contaminants in the environment. The approach can be extended to other natural environments and other microbes or microbial communities. It also demonstrates the importance of studying environmentally relevant microbes to describe important microbially mediated processes in the environment.

Reference: Microbial Biotechnology., 2009, 2 (2): 274-286.

Contact: Robert T. Anderson, SC-23.1, (301) 903-5549
Topic Areas:

  • Research Area: Subsurface Biogeochemical Research
  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Microbes and Communities
  • Research Area: Computational Biology, Bioinformatics, Modeling

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)