Metabolic network reconstruction of Chlamydomonas offers insight into light-driven algal metabolism.

ABSTRACT: 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 throug

SUBMITTER: Chang RL 

PROVIDER: S-EPMC3202792 | biostudies-literature | 2011 Aug

REPOSITORIES: biostudies-literature