Jump to main content
Jump to site search

Issue 2, 2008
Previous Article Next Article

Reconstruction, modeling & analysis of Halobacterium salinarum R-1 metabolism

Author affiliations

Abstract

We present a genome-scale metabolic reconstruction for the extreme halophile Halobacterium salinarum. The reconstruction represents a summary of the knowledge regarding the organism's metabolism, and has already led to new research directions and improved the existing annotation. We used the network for computational analysis and studied the aerobic growth of the organism using dynamic simulations in media with 15 available carbon and energy sources. Simulations resulted in predictions for the internal fluxes, which describe at the molecular level how the organism lives and grows. We found numerous indications that cells maximized energy production even at the cost of longer term concerns such as growth prospects. Simulations showed a very low carbon incorporation rate of only ≈15%. All of the supplied nutrients were simultaneously degraded, unexpectedly including five which are essential. These initially surprising behaviors are likely adaptations of the organism to its natural environment where growth occurs in blooms. In addition, we also examined specific aspects of metabolism, including how each of the supplied carbon and energy sources is utilized. Finally, we investigated the consequences of the model assumptions and the network structure on the quality of the flux predictions.

Graphical abstract: Reconstruction, modeling & analysis of Halobacterium salinarum R-1 metabolism

Back to tab navigation

Supplementary files

Publication details

The article was received on 03 Oct 2007, accepted on 31 Oct 2007 and first published on 05 Dec 2007


Article type: Paper
DOI: 10.1039/B715203E
Citation: Mol. BioSyst., 2008,4, 148-159
  •   Request permissions

    Reconstruction, modeling & analysis of Halobacterium salinarum R-1 metabolism

    O. Gonzalez, S. Gronau, M. Falb, F. Pfeiffer, E. Mendoza, R. Zimmer and D. Oesterhelt, Mol. BioSyst., 2008, 4, 148
    DOI: 10.1039/B715203E

Search articles by author

Spotlight

Advertisements