Journal
MOLECULAR SYSTEMS BIOLOGY
Volume 7, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/msb.2011.52
Keywords
Chlamydomonas reinhardtii; lipid metabolism; metabolic engineering; photobioreactor
Categories
Funding
- Office of Science (Biological and Environmental Research)
- US Department of Energy [DE-FG02-07ER64496]
- New York University
- Dana-Farber Cancer Institute Strategic Initiative
- National Science Foundation [DGE0504645]
- Jane Coffin Childs Memorial Fund for Medical Research
Ask authors/readers for more resources
Metabolic network reconstruction encompasses existing knowledge about an organism's metabolism and genome annotation, providing a platform for omics data analysis and phenotype prediction. The model alga Chlamydomonas reinhardtii is employed to study diverse biological processes from photosynthesis to phototaxis. Recent heightened interest in this species results from an international movement to develop algal biofuels. Integrating biological and optical data, we reconstructed a genome-scale metabolic network for this alga and devised a novel light-modeling approach that enables quantitative growth prediction for a given light source, resolving wavelength and photon flux. We experimentally verified transcripts accounted for in the network and physiologically validated model function through simulation and generation of new experimental growth data, providing high confidence in network contents and predictive applications. The network offers insight into algal metabolism and potential for genetic engineering and efficient light source design, a pioneering resource for studying light-driven metabolism and quantitative systems biology. Molecular Systems Biology 7: 518; published online 2 August 2011; doi:10.1038/msb.2011.52
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available