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

BER Research Highlights


Understanding How Bacteria Use Sunlight
Published: April 05, 2012
Posted: May 08, 2012

Cyanobacteria are prime candidates for the biological production of biofuels, especially hydrogen. They photosynthesize in sunlight, have relatively fast growth rates, are tolerant to extreme environments, and can accumulate high amounts of intracellular compounds and produce large quantities of H2. New research has combined a new genome-scale, constraint-based model of the cyanobacterium Cyanothece with experiments in a novel photobioreactor. The model and experiments provide new insights into the effect of light quality on metabolism and the bacteria's mechanisms for balancing reductant and electron flows. The model differs from similar models of other cyanobacteria in its detailed treatment of the photosynthesis and respiratory systems. The photobioreactor features dual sources of monochromatic light that can vary photon flux with wavelengths that are tuned to the two bacterial photosynthesis systems. The results will guide development of genome-scale metabolic models for other cyanobacteria and may help with the genetic manipulation of photosynthetic microorganisms to improve biofuel production. These findings were presented by a team of DOE scientists led by Pacific Northwest National Laboratory and the University of Wisconsin.

Reference: Vu, T. T, et al. 2012. "Genome-Scale Modeling of Light-Driven Reductant Partitioning and Carbon Fluxes in Diazotrophic Unicellular Cyanobacterium Cyanothece sp. ATCC 51142," PLoS Computational Biology 8(4), e1002460, DOI:10.1371/journal.pcbi.1002460. (Reference link)

Contact: John Houghton, SC-23.2, (301) 903-8288
Topic Areas:

  • Research Area: Genomic Analysis and Systems Biology
  • Research Area: Microbes and Communities
  • Research Area: Sustainable Biofuels and Bioproducts
  • Research Area: Biosystems Design
  • Research Area: Computational Biology, Bioinformatics, Modeling

Division: SC-23.2 Biological Systems Science Division, BER

 

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